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
@@ -15,10 +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/PULL_REQUEST_TEMPLATE.md

@@ -1,25 +1,44 @@
-<!--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
 
 <!--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.-->
 
 - [ ] 😊 如果 PR 中有新加入的功能，已经通过 Issue / 邮件等方式和作者讨论过。/ If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
 - [ ] 👀 我的更改经过了良好的测试，**并已在上方提供了“验证步骤”和“运行截图”**。/ My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.

.github/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

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

.github/workflows/code-format.yml

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

.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
 

.github/workflows/dashboard_ci.yml

@@ -11,20 +11,13 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v6
-
-      - name: Setup Node.js
-        uses: actions/setup-node@v6
-        with:
-          node-version: 'latest'
+        uses: actions/checkout@v5
 
       - name: npm install, build
         run: |
           cd dashboard
-          npm install pnpm -g
-          pnpm install
-          pnpm i --save-dev @types/markdown-it
-          pnpm run build
+          npm install
+          npm run build
 
       - name: Inject Commit SHA
         id: get_sha
@@ -36,7 +29,7 @@ jobs:
           zip -r dist.zip dist
 
       - name: Archive production artifacts
-        uses: actions/upload-artifact@v6
+        uses: actions/upload-artifact@v4
         with:
           name: dist-without-markdown
           path: |

.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.event_name == 'schedule'
+  publish-docker:
     runs-on: ubuntu-latest
-    env:
-      DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
-      GHCR_OWNER: soulter
-      HAS_GHCR_TOKEN: ${{ secrets.GHCR_GITHUB_TOKEN != '' }}
 
     steps:
-      - name: Checkout
-        uses: actions/checkout@v6
+      - 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@v3
-
-      - name: Set Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Log in to DockerHub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_HUB_USERNAME }}
-          password: ${{ secrets.DOCKER_HUB_PASSWORD }}
-
-      - name: Login to GitHub Container Registry
-        if: env.HAS_GHCR_TOKEN == 'true'
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ env.GHCR_OWNER }}
-          password: ${{ secrets.GHCR_GITHUB_TOKEN }}
-
-      - name: Build nightly image tags list
-        id: test-tags
-        run: |
-          TAGS="${{ env.DOCKER_HUB_USERNAME }}/astrbot:nightly-latest
-          ${{ env.DOCKER_HUB_USERNAME }}/astrbot:nightly-${{ steps.test-meta.outputs.build_date }}-${{ steps.test-meta.outputs.short_sha }}"
-          if [ "${{ env.HAS_GHCR_TOKEN }}" = "true" ]; then
-            TAGS="$TAGS
-          ghcr.io/${{ env.GHCR_OWNER }}/astrbot:nightly-latest
-          ghcr.io/${{ env.GHCR_OWNER }}/astrbot:nightly-${{ steps.test-meta.outputs.build_date }}-${{ steps.test-meta.outputs.short_sha }}"
-          fi
-          echo "tags<<EOF" >> $GITHUB_OUTPUT
-          echo "$TAGS" >> $GITHUB_OUTPUT
-          echo "EOF" >> $GITHUB_OUTPUT
-
-      - name: Build and Push Nightly Image
-        uses: docker/build-push-action@v6
-        with:
-          context: .
-          platforms: linux/amd64,linux/arm64
-          push: true
-          tags: ${{ steps.test-tags.outputs.tags }}
-
-      - name: Post build notifications
-        run: echo "Test Docker image has been built and pushed successfully"
-
-  build-release-image:
-    if: github.event_name == 'workflow_dispatch' || (github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v'))
-    runs-on: ubuntu-latest
-    env:
-      DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
-      GHCR_OWNER: soulter
-      HAS_GHCR_TOKEN: ${{ secrets.GHCR_GITHUB_TOKEN != '' }}
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 1
-          fetch-tag: true
+          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: |
@@ -175,24 +67,23 @@ jobs:
           password: ${{ secrets.DOCKER_HUB_PASSWORD }}
 
       - name: Login to GitHub Container Registry
-        if: env.HAS_GHCR_TOKEN == 'true'
         uses: docker/login-action@v3
         with:
           registry: ghcr.io
-          username: ${{ env.GHCR_OWNER }}
+          username: Soulter
           password: ${{ secrets.GHCR_GITHUB_TOKEN }}
 
-      - name: Build and Push Release Image
+      - 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/smoke_test.yml

@@ -1,58 +0,0 @@
-name: Smoke Test
-
-on:
-  push:
-    branches:
-      - master
-    paths-ignore:
-      - 'README*.md'
-      - 'changelogs/**'
-      - 'dashboard/**'
-  pull_request:
-  workflow_dispatch:
-
-jobs:
-  smoke-test:
-    name: Run smoke tests
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 0
-
-      - name: Set up Python
-        uses: actions/setup-python@v6
-        with:
-          python-version: '3.12'
-      
-      - name: Install UV package manager
-        run: |
-          pip install uv
-
-      - name: Install dependencies
-        run: |
-          uv sync
-        timeout-minutes: 15
-
-      - name: Run smoke tests
-        run: |
-          uv run main.py &
-          APP_PID=$!
-
-          echo "Waiting for application to start..."
-          for i in {1..60}; do
-            if curl -f http://localhost:6185 > /dev/null 2>&1; then
-              echo "Application started successfully!"
-              kill $APP_PID
-              exit 0
-            fi
-            sleep 1
-          done
-
-          echo "Application failed to start within 30 seconds"
-          kill $APP_PID 2>/dev/null || true
-          exit 1
-        timeout-minutes: 2

.gitignore

@@ -1,52 +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/
+.DS_Store
 package-lock.json
 package.json
-yarn.lock
-
-# Operating System
-**/.DS_Store
-.DS_Store
-
-# AstrBot specific
-.astrbot
-astrbot.lock
-
-# Other
-chroma
 venv/*
+packages/python_interpreter/workplace
+.venv/*
+.conda/
+.idea
 pytest.ini
-AGENTS.md
-IFLOW.md
+.astrbot
+
+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

CONTRIBUTING.md

@@ -1,90 +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。
-
-
-## 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 .
-```

Dockerfile

@@ -12,21 +12,19 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ca-certificates \
     bash \
     ffmpeg \
-    curl \
-    gnupg \
-    git \
     && apt-get clean \
-    && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+    && rm -rf /var/lib/apt/lists/*
 
-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
+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 \
-    && echo "3.11" > .python-version
+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"]

README.md

@@ -1,67 +1,46 @@
+<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_en.md">English</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
-
-<div>
 <a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-<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>
+[![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)
 
+<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">路线图</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">问题提交</a>
+<a href="https://github.com/Soulter/AstrBot/issues">问题提交</a>
 </div>
 
-AstrBot 是一个开源的一站式 Agent 聊天机器人平台，可接入主流即时通讯软件，为个人、开发者和团队打造可靠、可扩展的对话式智能基础设施。无论是个人 AI 伙伴、智能客服、自动化助手，还是企业知识库，AstrBot 都能在你的即时通讯软件平台的工作流中快速构建生产可用的 AI 应用。
-
-<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
+AstrBot 是一个开源的一站式 Agentic 聊天机器人平台及开发框架。
 
 ## 主要功能
 
-1. 💯 免费 & 开源。
-1. ✨ AI 大模型对话，多模态，Agent，MCP，知识库，人格设定。
-2. 🤖 支持接入 Dify、阿里云百炼、Coze 等智能体平台。
-2. 🌐 多平台，支持 QQ、企业微信、飞书、钉钉、微信公众号、Telegram、Slack 以及[更多](#支持的消息平台)。
-3. 📦 插件扩展，已有近 800 个插件可一键安装。
-5. 💻 WebUI 支持。
-6. 🌐 国际化（i18n）支持。
+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。
 
-## 快速开始
+## 部署方式
 
-#### Docker 部署(推荐 🥳)
+#### Docker 部署
 
 推荐使用 Docker / Docker Compose 方式部署 AstrBot。
 
 请参阅官方文档 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) 。
 
-#### uv 部署
-
-```bash
-uvx astrbot
-```
-
 #### 宝塔面板部署
 
 AstrBot 与宝塔面板合作，已上架至宝塔面板。
@@ -84,7 +63,7 @@ AstrBot 已由雨云官方上架至云应用平台，可一键部署。
 
 社区贡献的部署方式。
 
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
 
 #### Windows 一键安装器部署
 
@@ -113,73 +92,69 @@ 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) 。
 
-## 支持的消息平台
+## 🌍 社区
 
-**官方维护**
+### QQ 群组
 
-- QQ (官方平台 & OneBot)
-- Telegram
-- 企微应用 & 企微智能机器人
-- 微信客服 & 微信公众号
-- 飞书
-- 钉钉
-- Slack
-- Discord
-- Satori
-- Misskey
-- Whatsapp (将支持)
-- LINE (将支持)
+- 1 群：322154837
+- 3 群：630166526
+- 5 群：822130018
+- 6 群：753075035
+- 开发者群：975206796
+- 开发者群（备份）：295657329
 
-**社区维护**
+### Telegram 群组
 
-- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
-- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
-- [Bilibili 私信](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
-- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
+<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>
 
-## 支持的模型服务
+### Discord 群组
 
-**大模型服务**
+<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>
 
-- OpenAI 及兼容服务
-- Anthropic
-- Google Gemini
-- Moonshot AI
-- 智谱 AI
-- DeepSeek
-- Ollama (本地部署)
-- LM Studio (本地部署)
-- [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
-- [302.AI](https://share.302.ai/rr1M3l)
-- [小马算力](https://www.tokenpony.cn/3YPyf)
-- [硅基流动](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot)
-- [PPIO 派欧云](https://ppio.com/user/register?invited_by=AIOONE)
-- ModelScope
-- OneAPI
+## ⚡ 消息平台支持情况
 
-**LLMOps 平台**
+| 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   | ✔    |
 
-- Dify
-- 阿里云百炼应用
-- Coze
+## ⚡ 提供商支持情况
 
-**语音转文本服务**
-
-- OpenAI Whisper
-- SenseVoice
-
-**文本转语音服务**
-
-- OpenAI TTS
-- Gemini TTS
-- GPT-Sovits-Inference
-- GPT-Sovits
-- FishAudio
-- Edge TTS
-- 阿里云百炼 TTS
-- Azure TTS
-- Minimax TTS
-- 火山引擎 TTS
+| 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
 
@@ -194,30 +169,11 @@ uv run main.py
 AstrBot 使用 `ruff` 进行代码格式化和检查。
 
 ```bash
-git clone https://github.com/AstrBotDevs/AstrBot
+git clone https://github.com/Soulter/AstrBot
 pip install pre-commit
 pre-commit install
 ```
 
-## 🌍 社区
-
-### QQ 群组
-
-- 1 群：322154837
-- 3 群：630166526
-- 5 群：822130018
-- 6 群：753075035
-- 7 群：743746109
-- 开发者群：975206796
-
-### Telegram 群组
-
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-### Discord 群组
-
-<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
 ## ❤️ Special Thanks
 
 特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️
@@ -230,23 +186,26 @@ pre-commit install
 
 - [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]
-> 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
+> [!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>
 
 </details>
 
-<div align="center">
-
 _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

@@ -1,247 +1,182 @@
-![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">
 
-<br>
+_✨ Easy-to-use Multi-platform LLM Chatbot & Development Framework ✨_
 
-<div>
 <a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
-</div>
 
-<br>
-
-<div>
-<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
-<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
-<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20plugins&style=for-the-badge&label=Marketplace&cacheSeconds=3600">
-</div>
-
-<br>
-
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
+[![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://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="https://github.com/Soulter/AstrBot/issues">Issue Tracking</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 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.
 
-<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
+## ✨ Key Features
 
-## 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.
 
-1. 💯 Free & Open Source.
-2. ✨ AI LLM Conversations, Multimodal, Agent, MCP, Knowledge Base, Persona Settings.
-3. 🤖 Supports integration with Dify, Alibaba Cloud Bailian, Coze and other agent platforms.
-4. 🌐 Multi-Platform: QQ, WeChat Work, Feishu, DingTalk, WeChat Official Accounts, Telegram, Slack, and [more](#supported-messaging-platforms).
-5. 📦 Plugin Extensions with nearly 800 plugins available for one-click installation.
-6. 💻 WebUI Support.
-7. 🌐 Internationalization (i18n) Support.
+> [!TIP]
+> Dashboard Demo: [https://demo.astrbot.app/](https://demo.astrbot.app/)  
+> Username: `astrbot`, Password: `astrbot` (LLM not configured for chat page)
 
-## Quick Start
+## ✨ Deployment
 
-#### Docker Deployment (Recommended 🥳)
+#### Docker Deployment
 
-We recommend deploying AstrBot using Docker or Docker Compose.
+See docs: [Deploy with Docker](https://astrbot.app/deploy/astrbot/docker.html#docker-deployment)
 
-Please refer to the official documentation: [Deploy AstrBot with Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
+#### Windows Installer
 
-#### uv Deployment
+Requires Python (>3.10). See docs: [Windows Installer Guide](https://astrbot.app/deploy/astrbot/windows.html)
 
-```bash
-uvx astrbot
-```
+#### Replit Deployment
 
-#### BT-Panel Deployment
-
-AstrBot has partnered with BT-Panel and is now available in their marketplace.
-
-Please refer to the official documentation: [BT-Panel Deployment](https://astrbot.app/deploy/astrbot/btpanel.html).
-
-#### 1Panel Deployment
-
-AstrBot has been officially listed on the 1Panel marketplace.
-
-Please refer to the official documentation: [1Panel Deployment](https://astrbot.app/deploy/astrbot/1panel.html).
-
-#### Deploy on RainYun
-
-AstrBot has been officially listed on RainYun's cloud application platform with one-click deployment.
-
-[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
-
-#### Deploy on Replit
-
-Community-contributed deployment method.
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-#### Windows One-Click Installer
-
-Please refer to the official documentation: [Deploy AstrBot with Windows One-Click Installer](https://astrbot.app/deploy/astrbot/windows.html).
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
 
 #### CasaOS Deployment
 
-Community-contributed deployment method.
-
-Please refer to the official documentation: [CasaOS Deployment](https://astrbot.app/deploy/astrbot/casaos.html).
+Community-contributed method.  
+See docs: [CasaOS Deployment](https://astrbot.app/deploy/astrbot/casaos.html)
 
 #### Manual Deployment
 
-First, install uv:
+See docs: [Source Code Deployment](https://astrbot.app/deploy/astrbot/cli.html)
 
-```bash
-pip install uv
-```
+## ⚡ Platform Support
 
-Install AstrBot via Git Clone:
+| 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             | -                   |
 
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
-uv run main.py
-```
+## Provider Support Status
 
-Or refer to the official documentation: [Deploy AstrBot from Source](https://astrbot.app/deploy/astrbot/cli.html).
+| 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                                  |
 
-## Supported Messaging Platforms
-
-**Officially Maintained**
-
-- QQ (Official Platform & OneBot)
-- Telegram
-- WeChat Work Application & WeChat Work Intelligent Bot
-- WeChat Customer Service & WeChat Official Accounts
-- Feishu (Lark)
-- DingTalk
-- Slack
-- Discord
-- Satori
-- Misskey
-- WhatsApp (Coming Soon)
-- LINE (Coming Soon)
-
-**Community Maintained**
-
-- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
-- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
-- [Bilibili Direct Messages](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
-- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
-
-## Supported Model Services
-
-**LLM Services**
-
-- OpenAI and Compatible Services
-- Anthropic
-- Google Gemini
-- Moonshot AI
-- Zhipu AI
-- DeepSeek
-- Ollama (Self-hosted)
-- LM Studio (Self-hosted)
-- [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
-- [302.AI](https://share.302.ai/rr1M3l)
-- [TokenPony](https://www.tokenpony.cn/3YPyf)
-- [SiliconFlow](https://docs.siliconflow.cn/cn/usecases/use-siliconcloud-in-astrbot)
-- [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE)
-- ModelScope
-- OneAPI
-
-**LLMOps Platforms**
-
-- Dify
-- Alibaba Cloud Bailian Applications
-- Coze
-
-**Speech-to-Text Services**
-
-- OpenAI Whisper
-- SenseVoice
-
-**Text-to-Speech Services**
-
-- OpenAI TTS
-- Gemini TTS
-- GPT-Sovits-Inference
-- GPT-Sovits
-- FishAudio
-- Edge TTS
-- Alibaba Cloud Bailian TTS
-- Azure TTS
-- Minimax TTS
-- Volcano Engine TTS
-
-## ❤️ 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.
-
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot
-pip install pre-commit
-pre-commit install
-```
-
-## 🌍 Community
-
-### QQ Groups
-
-- Group 1: 322154837
-- Group 3: 630166526
-- Group 5: 822130018
-- Group 6: 753075035
-- Developer Group: 975206796
-
-### Telegram Group
-
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-### Discord Server
-
-<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-## ❤️ Special Thanks
-
-Special thanks to all Contributors and plugin developers for their contributions to AstrBot ❤️
-
-<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
-</a>
-
-Additionally, the birth of this project would not have been possible without the help of the following open-source projects:
-
-- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - The amazing cat framework
-
-## ⭐ Star History
+# 🦌 Roadmap
 
 > [!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
+> Suggestions welcome via Issues <3
 
-<div align="center">
+- [ ] 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
 
-[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
+## ❤️ 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>
 
-</details>
+## ⭐ 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

@@ -1,248 +0,0 @@
-![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
-
-</p>
-
-<div align="center">
-
-<br>
-
-<div>
-<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
-</div>
-
-<br>
-
-<div>
-<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
-<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
-<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20plugins&style=for-the-badge&label=Marketplace&cacheSeconds=3600">
-</div>
-
-<br>
-
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
-
-<a href="https://astrbot.app/">Documentation</a> ｜
-<a href="https://blog.astrbot.app/">Blog</a> ｜
-<a href="https://astrbot.featurebase.app/roadmap">Feuille de route</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">Signaler un problème</a>
-</div>
-
-AstrBot est une plateforme de chatbot Agent tout-en-un open source qui s'intègre aux principales applications de messagerie instantanée. Elle fournit une infrastructure d'IA conversationnelle fiable et évolutive pour les particuliers, les développeurs et les équipes. Que vous construisiez un compagnon IA personnel, un service client intelligent, un assistant d'automatisation ou une base de connaissances d'entreprise, AstrBot vous permet de créer rapidement des applications d'IA prêtes pour la production dans les flux de travail de votre plateforme de messagerie.
-
-<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
-
-## Fonctionnalités principales
-
-1. 💯 Gratuit & Open Source.
-2. ✨ Conversations avec LLM IA, Multimodal, Agent, MCP, Base de connaissances, Paramètres de personnalité.
-3. 🤖 Prise en charge de l'intégration avec Dify, Alibaba Cloud Bailian, Coze et autres plateformes d'agents.
-4. 🌐 Multi-plateforme : QQ, WeChat Work, Feishu, DingTalk, Comptes officiels WeChat, Telegram, Slack, et [plus encore](#plateformes-de-messagerie-prises-en-charge).
-5. 📦 Extensions de plugins avec près de 800 plugins disponibles pour une installation en un clic.
-6. 💻 Support WebUI.
-7. 🌐 Support de l'internationalisation (i18n).
-
-## Démarrage rapide
-
-#### Déploiement Docker (Recommandé 🥳)
-
-Nous recommandons de déployer AstrBot en utilisant Docker ou Docker Compose.
-
-Veuillez consulter la documentation officielle : [Déployer AstrBot avec Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
-
-#### Déploiement uv
-
-```bash
-uvx astrbot
-```
-
-#### Déploiement BT-Panel
-
-AstrBot s'est associé à BT-Panel et est maintenant disponible sur leur marketplace.
-
-Veuillez consulter la documentation officielle : [Déploiement BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html).
-
-#### Déploiement 1Panel
-
-AstrBot a été officiellement listé sur le marketplace 1Panel.
-
-Veuillez consulter la documentation officielle : [Déploiement 1Panel](https://astrbot.app/deploy/astrbot/1panel.html).
-
-#### Déployer sur RainYun
-
-AstrBot a été officiellement listé sur la plateforme d'applications cloud de RainYun avec un déploiement en un clic.
-
-[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
-
-#### Déployer sur Replit
-
-Méthode de déploiement contribuée par la communauté.
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-#### Installateur Windows en un clic
-
-Veuillez consulter la documentation officielle : [Déployer AstrBot avec l'installateur Windows en un clic](https://astrbot.app/deploy/astrbot/windows.html).
-
-#### Déploiement CasaOS
-
-Méthode de déploiement contribuée par la communauté.
-
-Veuillez consulter la documentation officielle : [Déploiement CasaOS](https://astrbot.app/deploy/astrbot/casaos.html).
-
-#### Déploiement manuel
-
-Tout d'abord, installez uv :
-
-```bash
-pip install uv
-```
-
-Installez AstrBot via Git Clone :
-
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
-uv run main.py
-```
-
-Ou consultez la documentation officielle : [Déployer AstrBot depuis les sources](https://astrbot.app/deploy/astrbot/cli.html).
-
-## Plateformes de messagerie prises en charge
-
-**Maintenues officiellement**
-
-- QQ (Plateforme officielle & OneBot)
-- Telegram
-- Application WeChat Work & Bot intelligent WeChat Work
-- Service client WeChat & Comptes officiels WeChat
-- Feishu (Lark)
-- DingTalk
-- Slack
-- Discord
-- Satori
-- Misskey
-- WhatsApp (Bientôt disponible)
-- LINE (Bientôt disponible)
-
-**Maintenues par la communauté**
-
-- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
-- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
-- [Messages directs Bilibili](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
-- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
-
-## Services de modèles pris en charge
-
-**Services LLM**
-
-- OpenAI et services compatibles
-- Anthropic
-- Google Gemini
-- Moonshot AI
-- Zhipu AI
-- DeepSeek
-- Ollama (Auto-hébergé)
-- LM Studio (Auto-hébergé)
-- [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
-- [302.AI](https://share.302.ai/rr1M3l)
-- [TokenPony](https://www.tokenpony.cn/3YPyf)
-- [SiliconFlow](https://docs.siliconflow.cn/cn/usecases/use-siliconcloud-in-astrbot)
-- [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE)
-- ModelScope
-- OneAPI
-
-**Plateformes LLMOps**
-
-- Dify
-- Applications Alibaba Cloud Bailian
-- Coze
-
-**Services de reconnaissance vocale**
-
-- OpenAI Whisper
-- SenseVoice
-
-**Services de synthèse vocale**
-
-- OpenAI TTS
-- Gemini TTS
-- GPT-Sovits-Inference
-- GPT-Sovits
-- FishAudio
-- Edge TTS
-- Alibaba Cloud Bailian TTS
-- Azure TTS
-- Minimax TTS
-- Volcano Engine TTS
-
-## ❤️ Contribuer
-
-Les Issues et Pull Requests sont toujours les bienvenues ! N'hésitez pas à soumettre vos modifications à ce projet :)
-
-### Comment contribuer
-
-Vous pouvez contribuer en examinant les issues ou en aidant à la revue des pull requests. Toutes les issues ou PRs sont les bienvenues pour encourager la participation de la communauté. Bien sûr, ce ne sont que des suggestions - vous pouvez contribuer de la manière que vous souhaitez. Pour l'ajout de nouvelles fonctionnalités, veuillez d'abord en discuter via une Issue.
-
-### Environnement de développement
-
-AstrBot utilise `ruff` pour le formatage et le linting du code.
-
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot
-pip install pre-commit
-pre-commit install
-```
-
-## 🌍 Communauté
-
-### Groupes QQ
-
-- Groupe 1 : 322154837
-- Groupe 3 : 630166526
-- Groupe 5 : 822130018
-- Groupe 6 : 753075035
-- Groupe développeurs : 975206796
-
-### Groupe Telegram
-
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-### Serveur Discord
-
-<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-## ❤️ Remerciements spéciaux
-
-Un grand merci à tous les contributeurs et développeurs de plugins pour leurs contributions à AstrBot ❤️
-
-<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
-</a>
-
-De plus, la naissance de ce projet n'aurait pas été possible sans l'aide des projets open source suivants :
-
-- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - L'incroyable framework chat
-
-## ⭐ Historique des étoiles
-
-> [!TIP]
-> Si ce projet vous a aidé dans votre vie ou votre travail, ou si vous êtes intéressé par son développement futur, veuillez donner une étoile au projet. C'est la force motrice derrière la maintenance de ce projet open source <3
-
-<div align="center">
-
-[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
-
-</div>
-
-</details>
-
-_私は、高性能ですから!_
-

README_ja.md

@@ -1,247 +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">
 
-<br>
+_✨ 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 ✨_
 
-<div>
 <a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
+
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
+<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple">
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
+[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
+
+<a href="https://astrbot.app/">ドキュメントを見る</a> ｜
+<a href="https://github.com/Soulter/AstrBot/issues">問題を報告する</a>
 </div>
 
-<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。
 
-<div>
-<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
-<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
-<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E5%80%8B&style=for-the-badge&label=%E3%83%97%E3%83%A9%E3%82%B0%E3%82%A4%E3%83%B3&cacheSeconds=3600">
-</div>
+## ✨ 主な機能
 
-<br>
+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。
 
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
+> [!TIP]
+> 管理パネルのオンラインデモを体験する: [https://demo.astrbot.app/](https://demo.astrbot.app/)
+>
+> ユーザー名: `astrbot`, パスワード: `astrbot`。LLM が設定されていないため、チャットページで大規模モデルを使用することはできません。（デモのログインパスワードを変更しないでください 😭）
 
-<a href="https://astrbot.app/">ドキュメント</a> ｜
-<a href="https://blog.astrbot.app/">Blog</a> ｜
-<a href="https://astrbot.featurebase.app/roadmap">ロードマップ</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">Issue</a>
-</div>
+## ✨ 使用方法
 
-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。
+#### Docker デプロイ
 
-<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
+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。
 
-## 主な機能
+#### Windows ワンクリックインストーラーのデプロイ
 
-1. 💯 無料 & オープンソース。
-2. ✨ AI 大規模言語モデル対話、マルチモーダル、Agent、MCP、ナレッジベース、ペルソナ設定。
-3. 🤖 Dify、Alibaba Cloud 百炼、Coze などの Agent プラットフォームとの統合をサポート。
-4. 🌐 マルチプラットフォーム：QQ、WeChat Work、Feishu、DingTalk、WeChat 公式アカウント、Telegram、Slack、[その他](#サポートされているメッセージプラットフォーム)。
-5. 📦 約800個のプラグインをワンクリックでインストール可能なプラグイン拡張機能。
-6. 💻 WebUI サポート。
-7. 🌐 国際化（i18n）サポート。
+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。
 
-## クイックスタート
+#### Replit デプロイ
 
-#### Docker デプロイ（推奨 🥳）
-
-Docker / Docker Compose を使用した AstrBot のデプロイを推奨します。
-
-公式ドキュメント [Docker を使用した AstrBot のデプロイ](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) をご参照ください。
-
-#### uv デプロイ
-
-```bash
-uvx astrbot
-```
-
-#### 宝塔パネルデプロイ
-
-AstrBot は宝塔パネルと提携し、宝塔パネルに公開されています。
-
-公式ドキュメント [宝塔パネルデプロイ](https://astrbot.app/deploy/astrbot/btpanel.html) をご参照ください。
-
-#### 1Panel デプロイ
-
-AstrBot は 1Panel 公式により 1Panel パネルに公開されています。
-
-公式ドキュメント [1Panel デプロイ](https://astrbot.app/deploy/astrbot/1panel.html) をご参照ください。
-
-#### 雨云でのデプロイ
-
-AstrBot は雨云公式によりクラウドアプリケーションプラットフォームに公開され、ワンクリックでデプロイ可能です。
-
-[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
-
-#### Replit でのデプロイ
-
-コミュニティ貢献によるデプロイ方法。
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-#### Windows ワンクリックインストーラーデプロイ
-
-公式ドキュメント [Windows ワンクリックインストーラーを使用した AstrBot のデプロイ](https://astrbot.app/deploy/astrbot/windows.html) をご参照ください。
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
 
 #### CasaOS デプロイ
 
-コミュニティ貢献によるデプロイ方法。
+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 [CasaOS デプロイ](https://astrbot.app/deploy/astrbot/casaos.html) をご参照ください。
+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
 
-まず uv をインストールします:
+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/cli.html) を参照してください。
 
-```bash
-pip install uv
-```
+## ⚡ メッセージプラットフォームのサポート状況
 
-Git Clone で AstrBot をインストール:
+| 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 | - |
 
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
-uv run main.py
-```
+# 🦌 今後のロードマップ
 
-または、公式ドキュメント [ソースコードから AstrBot をデプロイ](https://astrbot.app/deploy/astrbot/cli.html) をご参照ください。
+> [!TIP]
+> Issue でさらに多くの提案を歓迎します <3
 
-## サポートされているメッセージプラットフォーム
+- [ ] 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
 
-**公式メンテナンス**
+## ❤️ 貢献
 
-- QQ (公式プラットフォーム & OneBot)
-- Telegram
-- WeChat Work アプリケーション & WeChat Work インテリジェントボット
-- WeChat カスタマーサービス & WeChat 公式アカウント
-- Feishu (Lark)
-- DingTalk
-- Slack
-- Discord
-- Satori
-- Misskey
-- WhatsApp (近日対応予定)
-- LINE (近日対応予定)
+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 :)
 
-**コミュニティメンテナンス**
+新機能の追加については、まず Issue で議論してください。
 
-- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
-- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
-- [Bilibili ダイレクトメッセージ](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
-- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
+## 🌟 サポート
 
-## サポートされているモデルサービス
+- 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~
 
-**大規模言語モデルサービス**
+## ✨ デモ
 
-- OpenAI および互換サービス
-- Anthropic
-- Google Gemini
-- Moonshot AI
-- 智谱 AI
-- DeepSeek
-- Ollama (セルフホスト)
-- LM Studio (セルフホスト)
-- [優云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
-- [302.AI](https://share.302.ai/rr1M3l)
-- [小馬算力](https://www.tokenpony.cn/3YPyf)
-- [硅基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot)
-- [PPIO 派欧云](https://ppio.com/user/register?invited_by=AIOONE)
-- ModelScope
-- OneAPI
+> [!NOTE]
+> コードエグゼキューターのファイル入力/出力は現在 Napcat(QQ)、Lagrange(QQ) でのみテストされています
 
-**LLMOps プラットフォーム**
+<div align='center'>
 
-- Dify
-- Alibaba Cloud 百炼アプリケーション
-- Coze
+<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
 
-**音声認識サービス**
+_✨ 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）✨_
 
-- OpenAI Whisper
-- SenseVoice
+<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
 
-**音声合成サービス**
+_✨ 多モーダル、ウェブ検索、長文の画像変換（設定可能）✨_
 
-- OpenAI TTS
-- Gemini TTS
-- GPT-Sovits-Inference
-- GPT-Sovits
-- FishAudio
-- Edge TTS
-- Alibaba Cloud 百炼 TTS
-- Azure TTS
-- Minimax TTS
-- Volcano Engine TTS
+<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
 
-## ❤️ コントリビューション
+_✨ 自然言語タスク ✨_
 
-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 :)
+<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>
 
-### コントリビュート方法
+_✨ プラグインシステム - 一部のプラグインの展示 ✨_
 
-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。
+<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width="600">
 
-### 開発環境
+_✨ 管理パネル ✨_
 
-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。
+![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
 
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot
-pip install pre-commit
-pre-commit install
-```
+_✨ 内蔵 Web Chat、オンラインでボットと対話 ✨_
 
-## 🌍 コミュニティ
-
-### QQ グループ
-
-- 1群: 322154837
-- 3群: 630166526
-- 5群: 822130018
-- 6群: 753075035
-- 開発者群: 975206796
-
-### Telegram グループ
-
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-### Discord サーバー
-
-<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-## ❤️ Special Thanks
-
-AstrBot への貢献をしていただいたすべてのコントリビューターとプラグイン開発者に特別な感謝を ❤️
-
-<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
-</a>
-
-また、このプロジェクトの誕生は以下のオープンソースプロジェクトの助けなしには実現できませんでした:
-
-- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 素晴らしい猫猫フレームワーク
+</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>
 
-</details>
+## スポンサー
+
+[<img src="https://api.gitsponsors.com/api/badge/img?id=575865240" height="20">](https://api.gitsponsors.com/api/badge/link?p=XEpbdGxlitw/RbcwiTX93UMzNK/jgDYC8NiSzamIPMoKvG2lBFmyXhSS/b0hFoWlBBMX2L5X5CxTDsUdyvcIEHTOfnkXz47UNOZvMwyt5CzbYpq0SEzsSV1OJF1cCo90qC/ZyYKYOWedal3MhZ3ikw==)
+
+## 免責事項
+
+1. このプロジェクトは `AGPL-v3` オープンソースライセンスの下で保護されています。
+2. このプロジェクトを使用する際は、現地の法律および規制を遵守してください。
+
+<!-- ## ✨ ATRI [ベータテスト]
+
+この機能はプラグインとしてロードされます。プラグインリポジトリのアドレス：[astrbot_plugin_atri](https://github.com/Soulter/astrbot_plugin_atri)
+
+1. 《ATRI ~ My Dear Moments》の主人公 ATRI のキャラクターセリフを微調整データセットとして使用した `Qwen1.5-7B-Chat Lora` 微調整モデル。
+2. 長期記憶
+3. ミームの理解と返信
+4. TTS
+    -->
 
 _私は、高性能ですから!_

README_ru.md

@@ -1,248 +0,0 @@
-![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
-
-</p>
-
-<div align="center">
-
-<br>
-
-<div>
-<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
-</div>
-
-<br>
-
-<div>
-<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
-<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
-<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20%D0%BF%D0%BB%D0%B0%D0%B3%D0%B8%D0%BD%D0%BE%D0%B2&style=for-the-badge&label=%D0%9C%D0%B0%D0%B3%D0%B0%D0%B7%D0%B8%D0%BD&cacheSeconds=3600">
-</div>
-
-<br>
-
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
-
-<a href="https://astrbot.app/">Документация</a> ｜
-<a href="https://blog.astrbot.app/">Блог</a> ｜
-<a href="https://astrbot.featurebase.app/roadmap">Дорожная карта</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">Сообщить о проблеме</a>
-</div>
-
-AstrBot — это универсальная платформа Agent-чатботов с открытым исходным кодом, которая интегрируется с основными приложениями для обмена мгновенными сообщениями. Она предоставляет надёжную и масштабируемую инфраструктуру разговорного ИИ для частных лиц, разработчиков и команд. Будь то персональный ИИ-компаньон, интеллектуальная служба поддержки, автоматизированный помощник или корпоративная база знаний — AstrBot позволяет быстро создавать готовые к использованию ИИ-приложения в рабочих процессах вашей платформы обмена сообщениями.
-
-<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
-
-## Основные возможности
-
-1. 💯 Бесплатно и с открытым исходным кодом.
-2. ✨ ИИ-диалоги с LLM, мультимодальность, Agent, MCP, база знаний, настройки личности.
-3. 🤖 Поддержка интеграции с Dify, Alibaba Cloud Bailian, Coze и другими платформами агентов.
-4. 🌐 Мультиплатформенность: QQ, WeChat Work, Feishu, DingTalk, официальные аккаунты WeChat, Telegram, Slack и [другие](#поддерживаемые-платформы-обмена-сообщениями).
-5. 📦 Расширения плагинов с почти 800 плагинами, доступными для установки в один клик.
-6. 💻 Поддержка WebUI.
-7. 🌐 Поддержка интернационализации (i18n).
-
-## Быстрый старт
-
-#### Развёртывание Docker (Рекомендуется 🥳)
-
-Мы рекомендуем развёртывать AstrBot с помощью Docker или Docker Compose.
-
-См. официальную документацию: [Развёртывание AstrBot с Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
-
-#### Развёртывание uv
-
-```bash
-uvx astrbot
-```
-
-#### Развёртывание BT-Panel
-
-AstrBot в партнёрстве с BT-Panel теперь доступен на их маркетплейсе.
-
-См. официальную документацию: [Развёртывание BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html).
-
-#### Развёртывание 1Panel
-
-AstrBot официально размещён на маркетплейсе 1Panel.
-
-См. официальную документацию: [Развёртывание 1Panel](https://astrbot.app/deploy/astrbot/1panel.html).
-
-#### Развёртывание на RainYun
-
-AstrBot официально размещён на облачной платформе приложений RainYun с развёртыванием в один клик.
-
-[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
-
-#### Развёртывание на Replit
-
-Метод развёртывания от сообщества.
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-#### Установщик Windows в один клик
-
-См. официальную документацию: [Развёртывание AstrBot с установщиком Windows в один клик](https://astrbot.app/deploy/astrbot/windows.html).
-
-#### Развёртывание CasaOS
-
-Метод развёртывания от сообщества.
-
-См. официальную документацию: [Развёртывание CasaOS](https://astrbot.app/deploy/astrbot/casaos.html).
-
-#### Ручное развёртывание
-
-Сначала установите uv:
-
-```bash
-pip install uv
-```
-
-Установите AstrBot через Git Clone:
-
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
-uv run main.py
-```
-
-Или см. официальную документацию: [Развёртывание AstrBot из исходного кода](https://astrbot.app/deploy/astrbot/cli.html).
-
-## Поддерживаемые платформы обмена сообщениями
-
-**Официально поддерживаемые**
-
-- QQ (Официальная платформа и OneBot)
-- Telegram
-- Приложение WeChat Work и интеллектуальный бот WeChat Work
-- Служба поддержки WeChat и официальные аккаунты WeChat
-- Feishu (Lark)
-- DingTalk
-- Slack
-- Discord
-- Satori
-- Misskey
-- WhatsApp (Скоро)
-- LINE (Скоро)
-
-**Поддерживаемые сообществом**
-
-- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
-- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
-- [Личные сообщения Bilibili](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
-- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
-
-## Поддерживаемые сервисы моделей
-
-**Сервисы LLM**
-
-- OpenAI и совместимые сервисы
-- Anthropic
-- Google Gemini
-- Moonshot AI
-- Zhipu AI
-- DeepSeek
-- Ollama (Самостоятельное размещение)
-- LM Studio (Самостоятельное размещение)
-- [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
-- [302.AI](https://share.302.ai/rr1M3l)
-- [TokenPony](https://www.tokenpony.cn/3YPyf)
-- [SiliconFlow](https://docs.siliconflow.cn/cn/usecases/use-siliconcloud-in-astrbot)
-- [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE)
-- ModelScope
-- OneAPI
-
-**Платформы LLMOps**
-
-- Dify
-- Приложения Alibaba Cloud Bailian
-- Coze
-
-**Сервисы распознавания речи**
-
-- OpenAI Whisper
-- SenseVoice
-
-**Сервисы синтеза речи**
-
-- OpenAI TTS
-- Gemini TTS
-- GPT-Sovits-Inference
-- GPT-Sovits
-- FishAudio
-- Edge TTS
-- Alibaba Cloud Bailian TTS
-- Azure TTS
-- Minimax TTS
-- Volcano Engine TTS
-
-## ❤️ Вклад в проект
-
-Issues и Pull Request всегда приветствуются! Не стесняйтесь отправлять свои изменения в этот проект :)
-
-### Как внести вклад
-
-Вы можете внести вклад, просматривая issues или помогая с ревью pull request. Любые issues или PR приветствуются для поощрения участия сообщества. Конечно, это лишь предложения — вы можете вносить вклад любым удобным для вас способом. Для добавления новых функций сначала обсудите это через Issue.
-
-### Среда разработки
-
-AstrBot использует `ruff` для форматирования и линтинга кода.
-
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot
-pip install pre-commit
-pre-commit install
-```
-
-## 🌍 Сообщество
-
-### Группы QQ
-
-- Группа 1: 322154837
-- Группа 3: 630166526
-- Группа 5: 822130018
-- Группа 6: 753075035
-- Группа разработчиков: 975206796
-
-### Группа Telegram
-
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-### Сервер Discord
-
-<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-## ❤️ Особая благодарность
-
-Особая благодарность всем контрибьюторам и разработчикам плагинов за их вклад в AstrBot ❤️
-
-<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
-</a>
-
-Кроме того, рождение этого проекта было бы невозможно без помощи следующих проектов с открытым исходным кодом:
-
-- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - Замечательный кошачий фреймворк
-
-## ⭐ История звёзд
-
-> [!TIP]
-> Если этот проект помог вам в жизни или работе, или если вас интересует его будущее развитие, пожалуйста, поставьте проекту звезду. Это движущая сила поддержки этого проекта с открытым исходным кодом <3
-
-<div align="center">
-
-[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
-
-</div>
-
-</details>
-
-_私は、高性能ですから!_
-

README_zh-TW.md

@@ -1,248 +0,0 @@
-![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
-
-</p>
-
-<div align="center">
-
-<br>
-
-<div>
-<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="Featured｜HelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
-</div>
-
-<br>
-
-<div>
-<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
-<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
-<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
-<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E5%80%8B&style=for-the-badge&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%A0%B4&cacheSeconds=3600">
-</div>
-
-<br>
-
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">简体中文</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
-
-<a href="https://astrbot.app/">文件</a> ｜
-<a href="https://blog.astrbot.app/">Blog</a> ｜
-<a href="https://astrbot.featurebase.app/roadmap">路線圖</a> ｜
-<a href="https://github.com/AstrBotDevs/AstrBot/issues">問題回報</a>
-</div>
-
-AstrBot 是一個開源的一站式 Agent 聊天機器人平台，可接入主流即時通訊軟體，為個人、開發者和團隊打造可靠、可擴展的對話式智慧基礎設施。無論是個人 AI 夥伴、智慧客服、自動化助手，還是企業知識庫，AstrBot 都能在您的即時通訊軟體平台的工作流程中快速構建生產可用的 AI 應用程式。
-
-<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
-
-## 主要功能
-
-1. 💯 免費 & 開源。
-2. ✨ AI 大型模型對話，多模態，Agent，MCP，知識庫，人格設定。
-3. 🤖 支援接入 Dify、阿里雲百煉、Coze 等智慧體平台。
-4. 🌐 多平台：QQ、企業微信、飛書、釘釘、微信公眾號、Telegram、Slack 以及[更多](#支援的訊息平台)。
-5. 📦 外掛擴充，已有近 800 個外掛可一鍵安裝。
-6. 💻 WebUI 支援。
-7. 🌐 國際化（i18n）支援。
-
-## 快速開始
-
-#### Docker 部署（推薦 🥳）
-
-推薦使用 Docker / Docker Compose 方式部署 AstrBot。
-
-請參閱官方文件 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)。
-
-#### uv 部署
-
-```bash
-uvx astrbot
-```
-
-#### 寶塔面板部署
-
-AstrBot 與寶塔面板合作，已上架至寶塔面板。
-
-請參閱官方文件 [寶塔面板部署](https://astrbot.app/deploy/astrbot/btpanel.html)。
-
-#### 1Panel 部署
-
-AstrBot 已由 1Panel 官方上架至 1Panel 面板。
-
-請參閱官方文件 [1Panel 部署](https://astrbot.app/deploy/astrbot/1panel.html)。
-
-#### 在雨雲上部署
-
-AstrBot 已由雨雲官方上架至雲端應用程式平台，可一鍵部署。
-
-[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
-
-#### 在 Replit 上部署
-
-社群貢獻的部署方式。
-
-[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
-
-#### Windows 一鍵安裝器部署
-
-請參閱官方文件 [使用 Windows 一鍵安裝器部署 AstrBot](https://astrbot.app/deploy/astrbot/windows.html)。
-
-#### CasaOS 部署
-
-社群貢獻的部署方式。
-
-請參閱官方文件 [CasaOS 部署](https://astrbot.app/deploy/astrbot/casaos.html)。
-
-#### 手動部署
-
-首先安裝 uv：
-
-```bash
-pip install uv
-```
-
-透過 Git Clone 安裝 AstrBot：
-
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
-uv run main.py
-```
-
-或者請參閱官方文件 [透過原始碼部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html)。
-
-## 支援的訊息平台
-
-**官方維護**
-
-- QQ（官方平台 & OneBot）
-- Telegram
-- 企微應用 & 企微智慧機器人
-- 微信客服 & 微信公眾號
-- 飛書
-- 釘釘
-- Slack
-- Discord
-- Satori
-- Misskey
-- Whatsapp（即將支援）
-- LINE（即將支援）
-
-**社群維護**
-
-- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
-- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
-- [Bilibili 私訊](https://github.com/Hina-Chat/astrbot_plugin_bilibili_adapter)
-- [wxauto](https://github.com/luosheng520qaq/wxauto-repost-onebotv11)
-
-## 支援的模型服務
-
-**大型模型服務**
-
-- OpenAI 及相容服務
-- Anthropic
-- Google Gemini
-- Moonshot AI
-- 智譜 AI
-- DeepSeek
-- Ollama（本機部署）
-- LM Studio（本機部署）
-- [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
-- [302.AI](https://share.302.ai/rr1M3l)
-- [小馬算力](https://www.tokenpony.cn/3YPyf)
-- [矽基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot)
-- [PPIO 派歐雲](https://ppio.com/user/register?invited_by=AIOONE)
-- ModelScope
-- OneAPI
-
-**LLMOps 平台**
-
-- Dify
-- 阿里雲百煉應用
-- Coze
-
-**語音轉文字服務**
-
-- OpenAI Whisper
-- SenseVoice
-
-**文字轉語音服務**
-
-- OpenAI TTS
-- Gemini TTS
-- GPT-Sovits-Inference
-- GPT-Sovits
-- FishAudio
-- Edge TTS
-- 阿里雲百煉 TTS
-- Azure TTS
-- Minimax TTS
-- 火山引擎 TTS
-
-## ❤️ 貢獻
-
-歡迎任何 Issues/Pull Requests！只需要將您的變更提交到此專案 ：)
-
-### 如何貢獻
-
-您可以透過檢視問題或協助審核 PR（拉取請求）來貢獻。任何問題或 PR 都歡迎參與，以促進社群貢獻。當然，這些只是建議，您可以以任何方式進行貢獻。對於新功能的新增，請先透過 Issue 討論。
-
-### 開發環境
-
-AstrBot 使用 `ruff` 進行程式碼格式化和檢查。
-
-```bash
-git clone https://github.com/AstrBotDevs/AstrBot
-pip install pre-commit
-pre-commit install
-```
-
-## 🌍 社群
-
-### QQ 群組
-
-- 1 群：322154837
-- 3 群：630166526
-- 5 群：822130018
-- 6 群：753075035
-- 開發者群：975206796
-
-### Telegram 群組
-
-<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-### Discord 群組
-
-<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
-
-## ❤️ Special Thanks
-
-特別感謝所有 Contributors 和外掛開發者對 AstrBot 的貢獻 ❤️
-
-<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
-</a>
-
-此外，本專案的誕生離不開以下開源專案的幫助：
-
-- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 偉大的貓貓框架
-
-## ⭐ Star History
-
-> [!TIP]
-> 如果本專案對您的生活 / 工作產生了幫助，或者您關注本專案的未來發展，請給專案 Star，這是我們維護這個開源專案的動力 <3
-
-<div align="center">
-
-[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
-
-</div>
-
-</details>
-
-_私は、高性能ですから!_
-

astrbot/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

@@ -36,8 +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 (

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

@@ -1,52 +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_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_platform_loaded as on_platform_loaded
-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_astrbot_loaded",
-    "on_decorating_result",
-    "on_llm_request",
-    "on_llm_response",
-    "on_platform_loaded",
-    "permission_type",
-    "platform_adapter_type",
     "regex",
+    "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/builtin_stars/astrbot/main.py

@@ -1,128 +0,0 @@
-import traceback
-
-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 LLMResponse, ProviderRequest
-from astrbot.core import logger
-
-from .long_term_memory import LongTermMemory
-from .process_llm_request import ProcessLLMRequest
-
-
-class Main(star.Star):
-    def __init__(self, context: star.Context) -> None:
-        self.context = context
-        self.ltm = None
-        try:
-            self.ltm = LongTermMemory(self.context.astrbot_config_mgr, self.context)
-        except BaseException as e:
-            logger.error(f"聊天增强 err: {e}")
-
-        self.proc_llm_req = ProcessLLMRequest(self.context)
-
-    def ltm_enabled(self, event: AstrMessageEvent):
-        ltmse = self.context.get_config(umo=event.unified_msg_origin)[
-            "provider_ltm_settings"
-        ]
-        return ltmse["group_icl_enable"] or ltmse["active_reply"]["enable"]
-
-    @filter.platform_adapter_type(filter.PlatformAdapterType.ALL)
-    async def on_message(self, event: AstrMessageEvent):
-        """群聊记忆增强"""
-        has_image_or_plain = False
-        for comp in event.message_obj.message:
-            if isinstance(comp, Plain) or isinstance(comp, Image):
-                has_image_or_plain = True
-                break
-
-        if self.ltm_enabled(event) and self.ltm and has_image_or_plain:
-            need_active = await self.ltm.need_active_reply(event)
-
-            group_icl_enable = self.context.get_config()["provider_ltm_settings"][
-                "group_icl_enable"
-            ]
-            if group_icl_enable:
-                """记录对话"""
-                try:
-                    await self.ltm.handle_message(event)
-                except BaseException as e:
-                    logger.error(e)
-
-            if need_active:
-                """主动回复"""
-                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:
-                    conv = None
-                    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 /switch 序号 切换或者 /new 创建一个会话。",
-                        )
-                        return
-
-                    conv = await self.context.conversation_manager.get_conversation(
-                        event.unified_msg_origin,
-                        session_curr_cid,
-                    )
-
-                    prompt = event.message_str
-
-                    if not conv:
-                        logger.error("未找到对话，无法主动回复")
-                        return
-
-                    yield event.request_llm(
-                        prompt=prompt,
-                        func_tool_manager=self.context.get_llm_tool_manager(),
-                        session_id=event.session_id,
-                        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):
-        """在请求 LLM 前注入人格信息、Identifier、时间、回复内容等 System Prompt"""
-        await self.proc_llm_req.process_llm_request(event, req)
-
-        if self.ltm and self.ltm_enabled(event):
-            try:
-                await self.ltm.on_req_llm(event, req)
-            except BaseException as e:
-                logger.error(f"ltm: {e}")
-
-    @filter.on_llm_response()
-    async def inject_reasoning(self, event: AstrMessageEvent, resp: LLMResponse):
-        """在 LLM 响应后基于配置注入思考过程文本 / 在 LLM 响应后记录对话"""
-        umo = event.unified_msg_origin
-        cfg = self.context.get_config(umo).get("provider_settings", {})
-        show_reasoning = cfg.get("display_reasoning_text", False)
-        if show_reasoning and resp.reasoning_content:
-            resp.completion_text = (
-                f"🤔 思考: {resp.reasoning_content}\n\n{resp.completion_text}"
-            )
-
-        if self.ltm and self.ltm_enabled(event):
-            try:
-                await self.ltm.after_req_llm(event, resp)
-            except Exception as e:
-                logger.error(f"ltm: {e}")
-
-    @filter.after_message_sent()
-    async def after_message_sent(self, event: AstrMessageEvent):
-        """消息发送后处理"""
-        if self.ltm and self.ltm_enabled(event):
-            try:
-                clean_session = event.get_extra("_clean_ltm_session", False)
-                if clean_session:
-                    await self.ltm.remove_session(event)
-            except Exception as e:
-                logger.error(f"ltm: {e}")

astrbot/builtin_stars/astrbot/metadata.yaml

@@ -1,4 +0,0 @@
-name: astrbot
-desc: AstrBot 自带插件，包含人格注入、思考内容注入、群聊上下文感知等功能的实现，禁用后将无法使用这些功能。
-author: Soulter
-version: 4.1.0

astrbot/builtin_stars/builtin_commands/commands/conversation.py

@@ -1,366 +0,0 @@
-import datetime
-
-from astrbot.api import sp, star
-from astrbot.api.event import AstrMessageEvent, MessageEventResult
-from astrbot.core.platform.astr_message_event import MessageSession
-from astrbot.core.platform.message_type import MessageType
-
-from .utils.rst_scene import RstScene
-
-THIRD_PARTY_AGENT_RUNNER_KEY = {
-    "dify": "dify_conversation_id",
-    "coze": "coze_conversation_id",
-    "dashscope": "dashscope_conversation_id",
-}
-THIRD_PARTY_AGENT_RUNNER_STR = ", ".join(THIRD_PARTY_AGENT_RUNNER_KEY.keys())
-
-
-class ConversationCommands:
-    def __init__(self, context: star.Context):
-        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):
-        """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"在{scene.name}场景下，reset命令需要管理员权限，"
-                    f"您 (ID {message.get_sender_id()}) 不是管理员，无法执行此操作。",
-                ),
-            )
-            return
-
-        agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
-        if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
-            await sp.remove_async(
-                scope="umo",
-                scope_id=umo,
-                key=THIRD_PARTY_AGENT_RUNNER_KEY[agent_runner_type],
-            )
-            message.set_result(MessageEventResult().message("重置对话成功。"))
-            return
-
-        if not self.context.get_using_provider(umo):
-            message.set_result(
-                MessageEventResult().message("未找到任何 LLM 提供商。请先配置。"),
-            )
-            return
-
-        cid = await self.context.conversation_manager.get_curr_conversation_id(umo)
-
-        if not cid:
-            message.set_result(
-                MessageEventResult().message(
-                    "当前未处于对话状态，请 /switch 切换或者 /new 创建。",
-                ),
-            )
-            return
-
-        await self.context.conversation_manager.update_conversation(
-            umo,
-            cid,
-            [],
-        )
-
-        ret = "清除聊天历史成功！"
-
-        message.set_extra("_clean_ltm_session", True)
-
-        message.set_result(MessageEventResult().message(ret))
-
-    async def his(self, message: AstrMessageEvent, page: int = 1):
-        """查看对话记录"""
-        if not self.context.get_using_provider(message.unified_msg_origin):
-            message.set_result(
-                MessageEventResult().message("未找到任何 LLM 提供商。请先配置。"),
-            )
-            return
-
-        size_per_page = 6
-
-        conv_mgr = self.context.conversation_manager
-        umo = message.unified_msg_origin
-        session_curr_cid = await conv_mgr.get_curr_conversation_id(umo)
-
-        if not session_curr_cid:
-            session_curr_cid = await conv_mgr.new_conversation(
-                umo,
-                message.get_platform_id(),
-            )
-
-        contexts, total_pages = await conv_mgr.get_human_readable_context(
-            umo,
-            session_curr_cid,
-            page,
-            size_per_page,
-        )
-
-        parts = []
-        for context in contexts:
-            if len(context) > 150:
-                context = context[:150] + "..."
-            parts.append(f"{context}\n")
-
-        history = "".join(parts)
-        ret = (
-            f"当前对话历史记录："
-            f"{history or '无历史记录'}\n\n"
-            f"第 {page} 页 | 共 {total_pages} 页\n"
-            f"*输入 /history 2 跳转到第 2 页"
-        )
-
-        message.set_result(MessageEventResult().message(ret).use_t2i(False))
-
-    async def convs(self, message: AstrMessageEvent, page: int = 1):
-        """查看对话列表"""
-        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:
-            message.set_result(
-                MessageEventResult().message(
-                    f"{THIRD_PARTY_AGENT_RUNNER_STR} 对话列表功能暂不支持。",
-                ),
-            )
-            return
-
-        size_per_page = 6
-        """获取所有对话列表"""
-        conversations_all = await self.context.conversation_manager.get_conversations(
-            message.unified_msg_origin,
-        )
-        """计算总页数"""
-        total_pages = (len(conversations_all) + size_per_page - 1) // size_per_page
-        """确保页码有效"""
-        page = max(1, min(page, total_pages))
-        """分页处理"""
-        start_idx = (page - 1) * size_per_page
-        end_idx = start_idx + size_per_page
-        conversations_paged = conversations_all[start_idx:end_idx]
-
-        parts = ["对话列表：\n---\n"]
-        """全局序号从当前页的第一个开始"""
-        global_index = start_idx + 1
-
-        """生成所有对话的标题字典"""
-        _titles = {}
-        for conv in conversations_all:
-            title = conv.title if conv.title else "新对话"
-            _titles[conv.cid] = title
-
-        """遍历分页后的对话生成列表显示"""
-        for conv in conversations_paged:
-            persona_id = conv.persona_id
-            if not persona_id or persona_id == "[%None]":
-                persona = await self.context.persona_manager.get_default_persona_v3(
-                    umo=message.unified_msg_origin,
-                )
-                persona_id = persona["name"]
-            title = _titles.get(conv.cid, "新对话")
-            parts.append(
-                f"{global_index}. {title}({conv.cid[:4]})\n  人格情景: {persona_id}\n  上次更新: {datetime.datetime.fromtimestamp(conv.updated_at).strftime('%m-%d %H:%M')}\n"
-            )
-            global_index += 1
-
-        parts.append("---\n")
-        ret = "".join(parts)
-        curr_cid = await self.context.conversation_manager.get_curr_conversation_id(
-            message.unified_msg_origin,
-        )
-        if curr_cid:
-            """从所有对话的标题字典中获取标题"""
-            title = _titles.get(curr_cid, "新对话")
-            ret += f"\n当前对话: {title}({curr_cid[:4]})"
-        else:
-            ret += "\n当前对话: 无"
-
-        cfg = self.context.get_config(umo=message.unified_msg_origin)
-        unique_session = cfg["platform_settings"]["unique_session"]
-        if unique_session:
-            ret += "\n会话隔离粒度: 个人"
-        else:
-            ret += "\n会话隔离粒度: 群聊"
-
-        ret += f"\n第 {page} 页 | 共 {total_pages} 页"
-        ret += "\n*输入 /ls 2 跳转到第 2 页"
-
-        message.set_result(MessageEventResult().message(ret).use_t2i(False))
-        return
-
-    async def new_conv(self, message: AstrMessageEvent):
-        """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:
-            await sp.remove_async(
-                scope="umo",
-                scope_id=message.unified_msg_origin,
-                key=THIRD_PARTY_AGENT_RUNNER_KEY[agent_runner_type],
-            )
-            message.set_result(MessageEventResult().message("已创建新对话。"))
-            return
-
-        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_ltm_session", True)
-
-        message.set_result(
-            MessageEventResult().message(f"切换到新对话: 新对话({cid[:4]})。"),
-        )
-
-    async def groupnew_conv(self, message: AstrMessageEvent, sid: str = ""):
-        """创建新群聊对话"""
-        if sid:
-            session = str(
-                MessageSession(
-                    platform_name=message.platform_meta.id,
-                    message_type=MessageType("GroupMessage"),
-                    session_id=sid,
-                ),
-            )
-
-            cpersona = await self._get_current_persona_id(session)
-            cid = await self.context.conversation_manager.new_conversation(
-                session,
-                message.get_platform_id(),
-                persona_id=cpersona,
-            )
-            message.set_result(
-                MessageEventResult().message(
-                    f"群聊 {session} 已切换到新对话: 新对话({cid[:4]})。",
-                ),
-            )
-        else:
-            message.set_result(
-                MessageEventResult().message("请输入群聊 ID。/groupnew 群聊ID。"),
-            )
-
-    async def switch_conv(
-        self,
-        message: AstrMessageEvent,
-        index: int | None = None,
-    ):
-        """通过 /ls 前面的序号切换对话"""
-        if not isinstance(index, int):
-            message.set_result(
-                MessageEventResult().message("类型错误，请输入数字对话序号。"),
-            )
-            return
-
-        if index is None:
-            message.set_result(
-                MessageEventResult().message(
-                    "请输入对话序号。/switch 对话序号。/ls 查看对话 /new 新建对话",
-                ),
-            )
-            return
-        conversations = await self.context.conversation_manager.get_conversations(
-            message.unified_msg_origin,
-        )
-        if index > len(conversations) or index < 1:
-            message.set_result(
-                MessageEventResult().message("对话序号错误，请使用 /ls 查看"),
-            )
-        else:
-            conversation = conversations[index - 1]
-            title = conversation.title if conversation.title else "新对话"
-            await self.context.conversation_manager.switch_conversation(
-                message.unified_msg_origin,
-                conversation.cid,
-            )
-            message.set_result(
-                MessageEventResult().message(
-                    f"切换到对话: {title}({conversation.cid[:4]})。",
-                ),
-            )
-
-    async def rename_conv(self, message: AstrMessageEvent, new_name: str = ""):
-        """重命名对话"""
-        if not new_name:
-            message.set_result(MessageEventResult().message("请输入新的对话名称。"))
-            return
-        await self.context.conversation_manager.update_conversation_title(
-            message.unified_msg_origin,
-            new_name,
-        )
-        message.set_result(MessageEventResult().message("重命名对话成功。"))
-
-    async def del_conv(self, message: AstrMessageEvent):
-        """删除当前对话"""
-        cfg = self.context.get_config(umo=message.unified_msg_origin)
-        is_unique_session = cfg["platform_settings"]["unique_session"]
-        if message.get_group_id() and not is_unique_session and message.role != "admin":
-            # 群聊，没开独立会话，发送人不是管理员
-            message.set_result(
-                MessageEventResult().message(
-                    f"会话处于群聊，并且未开启独立会话，并且您 (ID {message.get_sender_id()}) 不是管理员，因此没有权限删除当前对话。",
-                ),
-            )
-            return
-
-        agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
-        if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
-            await sp.remove_async(
-                scope="umo",
-                scope_id=message.unified_msg_origin,
-                key=THIRD_PARTY_AGENT_RUNNER_KEY[agent_runner_type],
-            )
-            message.set_result(MessageEventResult().message("重置对话成功。"))
-            return
-
-        session_curr_cid = (
-            await self.context.conversation_manager.get_curr_conversation_id(
-                message.unified_msg_origin,
-            )
-        )
-
-        if not session_curr_cid:
-            message.set_result(
-                MessageEventResult().message(
-                    "当前未处于对话状态，请 /switch 序号 切换或 /new 创建。",
-                ),
-            )
-            return
-
-        await self.context.conversation_manager.delete_conversation(
-            message.unified_msg_origin,
-            session_curr_cid,
-        )
-
-        ret = "删除当前对话成功。不再处于对话状态，使用 /switch 序号 切换到其他对话或 /new 创建。"
-        message.set_extra("_clean_ltm_session", True)
-        message.set_result(MessageEventResult().message(ret))

astrbot/builtin_stars/builtin_commands/commands/help.py

@@ -1,88 +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):
-        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] = []
-        hidden_commands = {"set", "unset", "websearch"}
-
-        def walk(items: list[dict], indent: int = 0):
-            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:
-                    continue
-                if effective in hidden_commands:
-                    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):
-        """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 "暂无启用的内置指令"
-        )
-
-        msg_parts = [
-            f"AstrBot v{VERSION}(WebUI: {dashboard_version})",
-            "内置指令:",
-            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/provider.py

@@ -1,329 +0,0 @@
-import asyncio
-import re
-
-from astrbot import logger
-from astrbot.api import star
-from astrbot.api.event import AstrMessageEvent, MessageEventResult
-from astrbot.core.provider.entities import ProviderType
-
-
-class ProviderCommands:
-    def __init__(self, context: star.Context):
-        self.context = context
-
-    def _log_reachability_failure(
-        self,
-        provider,
-        provider_capability_type: ProviderType | None,
-        err_code: str,
-        err_reason: str,
-    ):
-        """记录不可达原因到日志。"""
-        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):
-        """测试单个 provider 的可用性"""
-        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 = str(e)
-            self._log_reachability_failure(
-                provider, provider_capability_type, err_code, err_reason
-            )
-            return False, err_code, err_reason
-
-    async def provider(
-        self,
-        event: AstrMessageEvent,
-        idx: str | int | None = None,
-        idx2: int | 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 = ["## 载入的 LLM 提供商\n"]
-
-            # 获取所有类型的提供商
-            llms = list(self.context.get_all_providers())
-            ttss = self.context.get_all_tts_providers()
-            stts = self.context.get_all_stt_providers()
-
-            # 构造待检测列表: [(provider, type_label), ...]
-            all_providers = []
-            all_providers.extend([(p, "llm") for p in llms])
-            all_providers.extend([(p, "tts") for p in ttss])
-            all_providers.extend([(p, "stt") for p in stts])
-
-            # 并发测试连通性
-            if reachability_check_enabled:
-                if all_providers:
-                    await event.send(
-                        MessageEventResult().message(
-                            "正在进行提供商可达性测试，请稍候..."
-                        )
-                    )
-                check_results = await asyncio.gather(
-                    *[self._test_provider_capability(p) for p, _ in all_providers],
-                    return_exceptions=True,
-                )
-            else:
-                # 用 None 表示未检测
-                check_results = [None for _ in all_providers]
-
-            # 整合结果
-            display_data = []
-            for (p, p_type), reachable in zip(all_providers, check_results):
-                meta = p.meta()
-                id_ = meta.id
-                error_code = None
-
-                if isinstance(reachable, Exception):
-                    # 异常情况下兜底处理，避免单个 provider 导致列表失败
-                    self._log_reachability_failure(
-                        p,
-                        None,
-                        reachable.__class__.__name__,
-                        str(reachable),
-                    )
-                    reachable_flag = False
-                    error_code = reachable.__class__.__name__
-                elif isinstance(reachable, tuple):
-                    reachable_flag, error_code, _ = reachable
-                else:
-                    reachable_flag = reachable
-
-                # 根据类型构建显示名称
-                if p_type == "llm":
-                    info = f"{id_} ({meta.model})"
-                else:
-                    info = f"{id_}"
-
-                # 确定状态标记
-                if reachable_flag is True:
-                    mark = " ✅"
-                elif reachable_flag is False:
-                    if error_code:
-                        mark = f" ❌(错误码: {error_code})"
-                    else:
-                        mark = " ❌"
-                else:
-                    mark = ""  # 不支持检测时不显示标记
-
-                display_data.append(
-                    {
-                        "type": p_type,
-                        "info": info,
-                        "mark": mark,
-                        "provider": p,
-                    }
-                )
-
-            # 分组输出
-            # 1. LLM
-            llm_data = [d for d in display_data if d["type"] == "llm"]
-            for i, d in enumerate(llm_data):
-                line = f"{i + 1}. {d['info']}{d['mark']}"
-                provider_using = self.context.get_using_provider(umo=umo)
-                if (
-                    provider_using
-                    and provider_using.meta().id == d["provider"].meta().id
-                ):
-                    line += " (当前使用)"
-                parts.append(line + "\n")
-
-            # 2. TTS
-            tts_data = [d for d in display_data if d["type"] == "tts"]
-            if tts_data:
-                parts.append("\n## 载入的 TTS 提供商\n")
-                for i, d in enumerate(tts_data):
-                    line = f"{i + 1}. {d['info']}{d['mark']}"
-                    tts_using = self.context.get_using_tts_provider(umo=umo)
-                    if tts_using and tts_using.meta().id == d["provider"].meta().id:
-                        line += " (当前使用)"
-                    parts.append(line + "\n")
-
-            # 3. STT
-            stt_data = [d for d in display_data if d["type"] == "stt"]
-            if stt_data:
-                parts.append("\n## 载入的 STT 提供商\n")
-                for i, d in enumerate(stt_data):
-                    line = f"{i + 1}. {d['info']}{d['mark']}"
-                    stt_using = self.context.get_using_stt_provider(umo=umo)
-                    if stt_using and stt_using.meta().id == d["provider"].meta().id:
-                        line += " (当前使用)"
-                    parts.append(line + "\n")
-
-            parts.append("\n使用 /provider <序号> 切换 LLM 提供商。")
-            ret = "".join(parts)
-
-            if ttss:
-                ret += "\n使用 /provider tts <序号> 切换 TTS 提供商。"
-            if stts:
-                ret += "\n使用 /provider stt <序号> 切换 STT 提供商。"
-            if not reachability_check_enabled:
-                ret += "\n已跳过提供商可达性检测，如需检测请在配置文件中开启。"
-
-            event.set_result(MessageEventResult().message(ret))
-        elif idx == "tts":
-            if idx2 is None:
-                event.set_result(MessageEventResult().message("请输入序号。"))
-                return
-            if idx2 > len(self.context.get_all_tts_providers()) or idx2 < 1:
-                event.set_result(MessageEventResult().message("无效的提供商序号。"))
-                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"成功切换到 {id_}。"))
-        elif idx == "stt":
-            if idx2 is None:
-                event.set_result(MessageEventResult().message("请输入序号。"))
-                return
-            if idx2 > len(self.context.get_all_stt_providers()) or idx2 < 1:
-                event.set_result(MessageEventResult().message("无效的提供商序号。"))
-                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"成功切换到 {id_}。"))
-        elif isinstance(idx, int):
-            if idx > len(self.context.get_all_providers()) or idx < 1:
-                event.set_result(MessageEventResult().message("无效的提供商序号。"))
-                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"成功切换到 {id_}。"))
-        else:
-            event.set_result(MessageEventResult().message("无效的参数。"))
-
-    async def model_ls(
-        self,
-        message: AstrMessageEvent,
-        idx_or_name: int | str | None = None,
-    ):
-        """查看或者切换模型"""
-        prov = self.context.get_using_provider(message.unified_msg_origin)
-        if not prov:
-            message.set_result(
-                MessageEventResult().message("未找到任何 LLM 提供商。请先配置。"),
-            )
-            return
-        # 定义正则表达式匹配 API 密钥
-        api_key_pattern = re.compile(r"key=[^&'\" ]+")
-
-        if idx_or_name is None:
-            models = []
-            try:
-                models = await prov.get_models()
-            except BaseException as e:
-                err_msg = api_key_pattern.sub("key=***", str(e))
-                message.set_result(
-                    MessageEventResult()
-                    .message("获取模型列表失败: " + err_msg)
-                    .use_t2i(False),
-                )
-                return
-            parts = ["下面列出了此模型提供商可用模型:"]
-            for i, model in enumerate(models, 1):
-                parts.append(f"\n{i}. {model}")
-
-            curr_model = prov.get_model() or "无"
-            parts.append(f"\n当前模型: [{curr_model}]")
-            parts.append(
-                "\nTips: 使用 /model <模型名/编号>，即可实时更换模型。如目标模型不存在于上表，请输入模型名。"
-            )
-
-            ret = "".join(parts)
-            message.set_result(MessageEventResult().message(ret).use_t2i(False))
-        elif isinstance(idx_or_name, int):
-            models = []
-            try:
-                models = await prov.get_models()
-            except BaseException as e:
-                message.set_result(
-                    MessageEventResult().message("获取模型列表失败: " + str(e)),
-                )
-                return
-            if idx_or_name > len(models) or idx_or_name < 1:
-                message.set_result(MessageEventResult().message("模型序号错误。"))
-            else:
-                try:
-                    new_model = models[idx_or_name - 1]
-                    prov.set_model(new_model)
-                except BaseException as e:
-                    message.set_result(
-                        MessageEventResult().message("切换模型未知错误: " + str(e)),
-                    )
-                message.set_result(
-                    MessageEventResult().message(
-                        f"切换模型成功。当前提供商: [{prov.meta().id}] 当前模型: [{prov.get_model()}]",
-                    ),
-                )
-        else:
-            prov.set_model(idx_or_name)
-            message.set_result(
-                MessageEventResult().message(f"切换模型到 {prov.get_model()}。"),
-            )
-
-    async def key(self, message: AstrMessageEvent, index: int | None = None):
-        prov = self.context.get_using_provider(message.unified_msg_origin)
-        if not prov:
-            message.set_result(
-                MessageEventResult().message("未找到任何 LLM 提供商。请先配置。"),
-            )
-            return
-
-        if index is None:
-            keys_data = prov.get_keys()
-            curr_key = prov.get_current_key()
-            parts = ["Key:"]
-            for i, k in enumerate(keys_data, 1):
-                parts.append(f"\n{i}. {k[:8]}")
-
-            parts.append(f"\n当前 Key: {curr_key[:8]}")
-            parts.append("\n当前模型: " + prov.get_model())
-            parts.append("\n使用 /key <idx> 切换 Key。")
-
-            ret = "".join(parts)
-            message.set_result(MessageEventResult().message(ret).use_t2i(False))
-        else:
-            keys_data = prov.get_keys()
-            if index > len(keys_data) or index < 1:
-                message.set_result(MessageEventResult().message("Key 序号错误。"))
-            else:
-                try:
-                    new_key = keys_data[index - 1]
-                    prov.set_key(new_key)
-                except BaseException as e:
-                    message.set_result(
-                        MessageEventResult().message(f"切换 Key 未知错误: {e!s}"),
-                    )
-                message.set_result(MessageEventResult().message("切换 Key 成功。"))

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):
-        self.context = context
-
-    async def sid(self, event: AstrMessageEvent):
-        """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}」 此值可用于设置白名单。\n"
-            f"UID: 「{user_id}」 此值可用于设置管理员。\n"
-            f"消息会话来源信息:\n"
-            f"  机器人 ID: 「{umo_platform}」\n"
-            f"  消息类型: 「{umo_msg_type}」\n"
-            f"  会话 ID: 「{umo_session_id}」\n"
-            f"消息来源可用于配置机器人的配置文件路由。"
-        )
-
-        if (
-            self.context.get_config()["platform_settings"]["unique_session"]
-            and event.get_group_id()
-        ):
-            ret += f"\n\n当前处于独立会话模式, 此群 ID: 「{event.get_group_id()}」, 也可将此 ID 加入白名单来放行整个群聊。"
-
-        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/metadata.yaml

@@ -1,4 +0,0 @@
-name: builtin_commands
-desc: AstrBot 自带指令，提供常用的对话管理、工具使用、插件管理等功能。
-author: Soulter
-version: 0.0.1

astrbot/cli/__init__.py

@@ -1 +1 @@
-__version__ = "4.10.3"
+__version__ = "3.5.23"

astrbot/cli/__main__.py

@@ -1,11 +1,11 @@
-"""AstrBot CLI入口"""
-
-import sys
+"""
+AstrBot CLI入口
+"""
 
 import click
-
+import sys
 from . import __version__
-from .commands import conf, init, plug, run
+from .commands import init, run, plug, conf
 
 logo_tmpl = r"""
      ___           _______.___________..______      .______     ______   .___________.

astrbot/cli/commands/__init__.py

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

astrbot/cli/commands/cmd_conf.py

@@ -1,12 +1,9 @@
-import hashlib
 import json
-import zoneinfo
-from collections.abc import Callable
-from typing import Any
-
 import click
-
-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:
@@ -14,7 +11,7 @@ def _validate_log_level(value: str) -> str:
     value = value.upper()
     if value not in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]:
         raise click.ClickException(
-            "日志级别必须是 DEBUG/INFO/WARNING/ERROR/CRITICAL 之一",
+            "日志级别必须是 DEBUG/INFO/WARNING/ERROR/CRITICAL 之一"
         )
     return value
 
@@ -76,7 +73,7 @@ def _load_config() -> dict[str, Any]:
     root = get_astrbot_root()
     if not check_astrbot_root(root):
         raise click.ClickException(
-            f"{root}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init",
+            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"
@@ -91,7 +88,7 @@ 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"配置文件解析失败: {e!s}")
+        raise click.ClickException(f"配置文件解析失败: {str(e)}")
 
 
 def _save_config(config: dict[str, Any]) -> None:
@@ -99,8 +96,7 @@ def _save_config(config: dict[str, Any]) -> None:
     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"
     )
 
 
@@ -112,7 +108,7 @@ def _set_nested_item(obj: dict[str, Any], path: str, value: Any) -> None:
             obj[part] = {}
         elif not isinstance(obj[part], dict):
             raise click.ClickException(
-                f"配置路径冲突: {'.'.join(parts[: parts.index(part) + 1])} 不是字典",
+                f"配置路径冲突: {'.'.join(parts[: parts.index(part) + 1])} 不是字典"
             )
         obj = obj[part]
     obj[parts[-1]] = value
@@ -144,6 +140,7 @@ def conf():
 
     - callback_api_base: 回调接口基址
     """
+    pass
 
 
 @conf.command(name="set")
@@ -151,7 +148,7 @@ def conf():
 @click.argument("value")
 def set_config(key: str, value: str):
     """设置配置项的值"""
-    if key not in CONFIG_VALIDATORS:
+    if key not in CONFIG_VALIDATORS.keys():
         raise click.ClickException(f"不支持的配置项: {key}")
 
     config = _load_config()
@@ -173,17 +170,17 @@ def set_config(key: str, value: str):
     except KeyError:
         raise click.ClickException(f"未知的配置项: {key}")
     except Exception as e:
-        raise click.UsageError(f"设置配置失败: {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):
+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:
+        if key not in CONFIG_VALIDATORS.keys():
             raise click.ClickException(f"不支持的配置项: {key}")
 
         try:
@@ -194,10 +191,10 @@ def get_config(key: str | None = None):
         except KeyError:
             raise click.ClickException(f"未知的配置项: {key}")
         except Exception as e:
-            raise click.UsageError(f"获取配置失败: {e!s}")
+            raise click.UsageError(f"获取配置失败: {str(e)}")
     else:
         click.echo("当前配置:")
-        for key in CONFIG_VALIDATORS:
+        for key in CONFIG_VALIDATORS.keys():
             try:
                 value = (
                     "********"

astrbot/cli/commands/cmd_init.py

@@ -1,5 +1,4 @@
 import asyncio
-from pathlib import Path
 
 import click
 from filelock import FileLock, Timeout
@@ -7,14 +6,14 @@ from filelock import FileLock, Timeout
 from ..utils import check_dashboard, get_astrbot_root
 
 
-async def initialize_astrbot(astrbot_root: Path) -> None:
+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。",
+            "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"请检查当前目录是否正确，确认正确请回车: {astrbot_root}",

astrbot/cli/commands/cmd_plug.py

@@ -1,29 +1,31 @@
 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():
     """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}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init",
+            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()
 
@@ -39,7 +41,7 @@ def display_plugins(plugins, title=None, color=None):
         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}"
         )
 
 
@@ -76,7 +78,7 @@ def new(name: str):
             f"desc: {desc}\n"
             f"version: {version}\n"
             f"author: {author}\n"
-            f"repo: {repo}\n",
+            f"repo: {repo}\n"
         )
 
     # 重写 README.md
@@ -84,7 +86,7 @@ def new(name: str):
         f.write(f"# {name}\n\n{desc}\n\n# 支持\n\n[帮助文档](https://astrbot.app)\n")
 
     # 重写 main.py
-    with open(plug_path / "main.py", encoding="utf-8") as f:
+    with open(plug_path / "main.py", "r", encoding="utf-8") as f:
         content = f.read()
 
     new_content = content.replace(

astrbot/cli/commands/cmd_run.py

@@ -1,18 +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
+from ..utils import check_dashboard, check_astrbot_root, get_astrbot_root
 
 
 async def run_astrbot(astrbot_root: Path):
     """运行 AstrBot"""
-    from astrbot.core import LogBroker, LogManager, db_helper, logger
+    from astrbot.core import logger, LogManager, LogBroker, db_helper
     from astrbot.core.initial_loader import InitialLoader
 
     await check_dashboard(astrbot_root / "data")
@@ -37,7 +38,7 @@ def run(reload: bool, port: str) -> None:
 
         if not check_astrbot_root(astrbot_root):
             raise click.ClickException(
-                f"{astrbot_root}不是有效的 AstrBot 根目录，如需初始化请使用 astrbot init",
+                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)

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

@@ -21,9 +21,8 @@ def get_astrbot_root() -> Path:
 
 async def check_dashboard(astrbot_root: Path) -> None:
     """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
 
     try:
@@ -49,18 +48,19 @@ async def check_dashboard(astrbot_root: Path) -> None:
                 if VersionComparator.compare_version(VERSION, dashboard_version) <= 0:
                     click.echo("管理面板已是最新版本")
                     return
-                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
+                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("初始化管理面板目录...")
         try:

astrbot/cli/utils/plugin.py

@@ -1,14 +1,14 @@
 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
 
 
@@ -32,8 +32,7 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None):
         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()
@@ -56,8 +55,7 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None):
 
         # 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 (
@@ -91,7 +89,6 @@ def load_yaml_metadata(plugin_dir: Path) -> dict:
 
     Returns:
         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():
@@ -110,7 +107,6 @@ def build_plug_list(plugins_dir: Path) -> list:
 
     Returns:
         list: 包含插件信息的字典列表
-
     """
     # 获取本地插件信息
     result = []
@@ -137,7 +133,7 @@ def build_plug_list(plugins_dir: Path) -> list:
                         "repo": str(metadata.get("repo", "")),
                         "status": PluginStatus.INSTALLED,
                         "local_path": str(plugin_dir),
-                    },
+                    }
                 )
 
     # 获取在线插件列表
@@ -157,7 +153,7 @@ def build_plug_list(plugins_dir: Path) -> list:
                         "repo": str(plugin_info.get("repo", "")),
                         "status": PluginStatus.NOT_INSTALLED,
                         "local_path": None,
-                    },
+                    }
                 )
     except Exception as e:
         click.echo(f"获取在线插件列表失败: {e}", err=True)
@@ -172,8 +168,7 @@ def build_plug_list(plugins_dir: Path) -> list:
             )
             if (
                 VersionComparator.compare_version(
-                    local_plugin["version"],
-                    online_plugin["version"],
+                    local_plugin["version"], online_plugin["version"]
                 )
                 < 0
             ):
@@ -191,10 +186,7 @@ def build_plug_list(plugins_dir: Path) -> list:
 
 
 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:
     """安装或更新插件
 
@@ -203,7 +195,6 @@ def manage_plugin(
         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"]
@@ -221,26 +212,26 @@ def manage_plugin(
         raise click.ClickException(f"插件 {plugin_name} 未安装，无法更新")
 
     # 备份现有插件
-    if is_update and backup_path is not None and backup_path.exists():
+    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"正在从 {repo_url} {'更新' if is_update else '下载'}插件 {plugin_name}...",
+            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)
 
         # 更新成功，删除备份
-        if is_update and backup_path is not None and backup_path.exists():
+        if is_update and backup_path.exists():
             shutil.rmtree(backup_path)
         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"{'更新' if is_update else '安装'}插件 {plugin_name} 时出错: {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 @@
-"""拷贝自 astrbot.core.utils.version_comparator"""
+"""
+拷贝自 astrbot.core.utils.version_comparator
+"""
 
 import re
 
@@ -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
 
         # 比较预发布标签
         if v1_prerelease is 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
-        if v1_prerelease is not None and v2_prerelease is None:
+        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
-        if v1_prerelease is not None and v2_prerelease is not None:
+        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
@@ -56,21 +58,21 @@ 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  # 预发布标签完全相同
 

astrbot/core/__init__.py

@@ -1,14 +1,12 @@
 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 PipInstaller
-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

astrbot/core/agent/agent.py

@@ -1,9 +1,8 @@
 from dataclasses import dataclass
-from typing import 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

astrbot/core/agent/handoff.py

@@ -1,18 +1,14 @@
 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,
-        **kwargs,
+        self, agent: Agent[TContext], parameters: dict | None = None, **kwargs
     ):
         self.agent = agent
         super().__init__(

astrbot/core/agent/hooks.py

@@ -1,13 +1,12 @@
-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]): ...
     async def on_tool_start(
@@ -24,7 +23,5 @@ class BaseAgentRunHooks(Generic[TContext]):
         tool_result: mcp.types.CallToolResult | None,
     ): ...
     async def on_agent_done(
-        self,
-        run_context: ContextWrapper[TContext],
-        llm_response: LLMResponse,
+        self, run_context: ContextWrapper[TContext], llm_response: LLMResponse
     ): ...

astrbot/core/agent/mcp_client.py

@@ -1,44 +1,28 @@
 import asyncio
 import logging
-from contextlib import AsyncExitStack
 from datetime import timedelta
-from typing import Generic
-
-from tenacity import (
-    before_sleep_log,
-    retry,
-    retry_if_exception_type,
-    stop_after_attempt,
-    wait_exponential,
-)
-
+from 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
-
 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 = config["mcpServers"][first_key]
     config.pop("active", None)
@@ -46,7 +30,7 @@ def _prepare_config(config: dict) -> dict:
 
 
 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())
@@ -56,15 +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",
@@ -87,7 +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,
@@ -99,10 +77,11 @@ 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}"
 
@@ -110,9 +89,8 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
 class MCPClient:
     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
@@ -120,32 +98,21 @@ 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):
-        """Connect to MCP server
+        """连接到 MCP 服务器
 
-        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):
-            # Handle MCP service error logs
+            # 处理 MCP 服务的错误日志
             print(f"MCP Server {name} Error: {msg}")
             self.server_errlogs.append(msg)
 
@@ -154,14 +121,7 @@ class MCPClient:
             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"],
@@ -170,22 +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"],
@@ -195,18 +155,18 @@ 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:
@@ -215,7 +175,7 @@ class MCPClient:
             )
 
             def callback(msg: str):
-                # Handle MCP service error logs
+                # 处理 MCP 服务的错误日志
                 self.server_errlogs.append(msg)
 
             stdio_transport = await self.exit_stack.enter_async_context(
@@ -232,7 +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()
 
@@ -244,142 +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):
-        """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
-    ):
-        super().__init__(
-            name=mcp_tool.name,
-            description=mcp_tool.description or "",
-            parameters=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),
-        )
+        """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

@@ -1,203 +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, cast
-
-from pydantic import BaseModel, GetCoreSchemaHandler, model_serializer, model_validator
-from pydantic_core import core_schema
-
-
-class ContentPart(BaseModel):
-    """A part of the content in a message."""
-
-    __content_part_registry: ClassVar[dict[str, type["ContentPart"]]] = {}
-
-    type: str
-
-    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]
-                    return target_class.model_validate(value)
-
-                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)
-
-
-class TextPart(ContentPart):
-    """
-    >>> TextPart(text="Hello, world!").model_dump()
-    {'type': 'text', 'text': 'Hello, world!'}
-    """
-
-    type: str = "text"
-    text: str
-
-
-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 Message(BaseModel):
-    """A message in a conversation."""
-
-    role: Literal[
-        "system",
-        "user",
-        "assistant",
-        "tool",
-    ]
-
-    content: str | list[ContentPart] | None = None
-    """The content of the message."""
-
-    tool_calls: list[ToolCall] | list[dict] | None = None
-    """The tool calls of the message."""
-
-    tool_call_id: str | None = None
-    """The ID of the tool call."""
-
-    @model_validator(mode="after")
-    def check_content_required(self):
-        # assistant + tool_calls is not None: allow content to be None
-        if self.role == "assistant" and self.tool_calls is not None:
-            return self
-
-        # other all cases: content is required
-        if self.content is None:
-            raise ValueError(
-                "content is required unless role='assistant' and tool_calls is not None"
-            )
-        return self
-
-    @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"

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 = 60  # 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

@@ -1,367 +0,0 @@
-import base64
-import json
-import sys
-import typing as T
-
-import astrbot.core.message.components as Comp
-from astrbot import logger
-from astrbot.core import sp
-from astrbot.core.message.message_event_result import MessageChain
-from astrbot.core.provider.entities import (
-    LLMResponse,
-    ProviderRequest,
-)
-
-from ...hooks import BaseAgentRunHooks
-from ...response import AgentResponseData
-from ...run_context import ContextWrapper, TContext
-from ..base import AgentResponse, AgentState, BaseAgentRunner
-from .coze_api_client import CozeAPIClient
-
-if sys.version_info >= (3, 12):
-    from typing import override
-else:
-    from typing_extensions import override
-
-
-class CozeAgentRunner(BaseAgentRunner[TContext]):
-    """Coze Agent Runner"""
-
-    @override
-    async def reset(
-        self,
-        request: ProviderRequest,
-        run_context: ContextWrapper[TContext],
-        agent_hooks: BaseAgentRunHooks[TContext],
-        provider_config: dict,
-        **kwargs: T.Any,
-    ) -> None:
-        self.req = request
-        self.streaming = kwargs.get("streaming", False)
-        self.final_llm_resp = None
-        self._state = AgentState.IDLE
-        self.agent_hooks = agent_hooks
-        self.run_context = run_context
-
-        self.api_key = provider_config.get("coze_api_key", "")
-        if not self.api_key:
-            raise Exception("Coze API Key 不能为空。")
-        self.bot_id = provider_config.get("bot_id", "")
-        if not self.bot_id:
-            raise Exception("Coze Bot ID 不能为空。")
-        self.api_base: str = provider_config.get("coze_api_base", "https://api.coze.cn")
-
-        if not isinstance(self.api_base, str) or not self.api_base.startswith(
-            ("http://", "https://"),
-        ):
-            raise Exception(
-                "Coze API Base URL 格式不正确，必须以 http:// 或 https:// 开头。",
-            )
-
-        self.timeout = provider_config.get("timeout", 120)
-        if isinstance(self.timeout, str):
-            self.timeout = int(self.timeout)
-        self.auto_save_history = provider_config.get("auto_save_history", True)
-
-        # 创建 API 客户端
-        self.api_client = CozeAPIClient(api_key=self.api_key, api_base=self.api_base)
-
-        # 会话相关缓存
-        self.file_id_cache: dict[str, dict[str, str]] = {}
-
-    @override
-    async def step(self):
-        """
-        执行 Coze Agent 的一个步骤
-        """
-        if not self.req:
-            raise ValueError("Request is not set. Please call reset() first.")
-
-        if self._state == AgentState.IDLE:
-            try:
-                await self.agent_hooks.on_agent_begin(self.run_context)
-            except Exception as e:
-                logger.error(f"Error in on_agent_begin hook: {e}", exc_info=True)
-
-        # 开始处理，转换到运行状态
-        self._transition_state(AgentState.RUNNING)
-
-        try:
-            # 执行 Coze 请求并处理结果
-            async for response in self._execute_coze_request():
-                yield response
-        except Exception as e:
-            logger.error(f"Coze 请求失败：{str(e)}")
-            self._transition_state(AgentState.ERROR)
-            self.final_llm_resp = LLMResponse(
-                role="err", completion_text=f"Coze 请求失败：{str(e)}"
-            )
-            yield AgentResponse(
-                type="err",
-                data=AgentResponseData(
-                    chain=MessageChain().message(f"Coze 请求失败：{str(e)}")
-                ),
-            )
-        finally:
-            await self.api_client.close()
-
-    @override
-    async def step_until_done(
-        self, max_step: int = 30
-    ) -> T.AsyncGenerator[AgentResponse, None]:
-        while not self.done():
-            async for resp in self.step():
-                yield resp
-
-    async def _execute_coze_request(self):
-        """执行 Coze 请求的核心逻辑"""
-        prompt = self.req.prompt or ""
-        session_id = self.req.session_id or "unknown"
-        image_urls = self.req.image_urls or []
-        contexts = self.req.contexts or []
-        system_prompt = self.req.system_prompt
-
-        # 用户ID参数
-        user_id = session_id
-
-        # 获取或创建会话ID
-        conversation_id = await sp.get_async(
-            scope="umo",
-            scope_id=user_id,
-            key="coze_conversation_id",
-            default="",
-        )
-
-        # 构建消息
-        additional_messages = []
-
-        if system_prompt:
-            if not self.auto_save_history or not conversation_id:
-                additional_messages.append(
-                    {
-                        "role": "system",
-                        "content": system_prompt,
-                        "content_type": "text",
-                    },
-                )
-
-        # 处理历史上下文
-        if not self.auto_save_history and contexts:
-            for ctx in contexts:
-                if isinstance(ctx, dict) and "role" in ctx and "content" in ctx:
-                    # 处理上下文中的图片
-                    content = ctx["content"]
-                    if isinstance(content, list):
-                        # 多模态内容，需要处理图片
-                        processed_content = []
-                        for item in content:
-                            if isinstance(item, dict):
-                                if item.get("type") == "text":
-                                    processed_content.append(item)
-                                elif item.get("type") == "image_url":
-                                    # 处理图片上传
-                                    try:
-                                        image_data = item.get("image_url", {})
-                                        url = image_data.get("url", "")
-                                        if url:
-                                            file_id = (
-                                                await self._download_and_upload_image(
-                                                    url, session_id
-                                                )
-                                            )
-                                            processed_content.append(
-                                                {
-                                                    "type": "file",
-                                                    "file_id": file_id,
-                                                    "file_url": url,
-                                                }
-                                            )
-                                    except Exception as e:
-                                        logger.warning(f"处理上下文图片失败: {e}")
-                                        continue
-
-                        if processed_content:
-                            additional_messages.append(
-                                {
-                                    "role": ctx["role"],
-                                    "content": processed_content,
-                                    "content_type": "object_string",
-                                }
-                            )
-                    else:
-                        # 纯文本内容
-                        additional_messages.append(
-                            {
-                                "role": ctx["role"],
-                                "content": content,
-                                "content_type": "text",
-                            }
-                        )
-
-        # 构建当前消息
-        if prompt or image_urls:
-            if image_urls:
-                # 多模态
-                object_string_content = []
-                if prompt:
-                    object_string_content.append({"type": "text", "text": prompt})
-
-                for url in image_urls:
-                    # the url is a base64 string
-                    try:
-                        image_data = base64.b64decode(url)
-                        file_id = await self.api_client.upload_file(image_data)
-                        object_string_content.append(
-                            {
-                                "type": "image",
-                                "file_id": file_id,
-                            }
-                        )
-                    except Exception as e:
-                        logger.warning(f"处理图片失败 {url}: {e}")
-                        continue
-
-                if object_string_content:
-                    content = json.dumps(object_string_content, ensure_ascii=False)
-                    additional_messages.append(
-                        {
-                            "role": "user",
-                            "content": content,
-                            "content_type": "object_string",
-                        }
-                    )
-            elif prompt:
-                # 纯文本
-                additional_messages.append(
-                    {
-                        "role": "user",
-                        "content": prompt,
-                        "content_type": "text",
-                    },
-                )
-
-        # 执行 Coze API 请求
-        accumulated_content = ""
-        message_started = False
-
-        async for chunk in self.api_client.chat_messages(
-            bot_id=self.bot_id,
-            user_id=user_id,
-            additional_messages=additional_messages,
-            conversation_id=conversation_id,
-            auto_save_history=self.auto_save_history,
-            stream=True,
-            timeout=self.timeout,
-        ):
-            event_type = chunk.get("event")
-            data = chunk.get("data", {})
-
-            if event_type == "conversation.chat.created":
-                if isinstance(data, dict) and "conversation_id" in data:
-                    await sp.put_async(
-                        scope="umo",
-                        scope_id=user_id,
-                        key="coze_conversation_id",
-                        value=data["conversation_id"],
-                    )
-
-            if event_type == "conversation.message.delta":
-                # 增量消息
-                content = data.get("content", "")
-                if not content and "delta" in data:
-                    content = data["delta"].get("content", "")
-                if not content and "text" in data:
-                    content = data.get("text", "")
-
-                if content:
-                    accumulated_content += content
-                    message_started = True
-
-                    # 如果是流式响应，发送增量数据
-                    if self.streaming:
-                        yield AgentResponse(
-                            type="streaming_delta",
-                            data=AgentResponseData(
-                                chain=MessageChain().message(content)
-                            ),
-                        )
-
-            elif event_type == "conversation.message.completed":
-                # 消息完成
-                logger.debug("Coze message completed")
-                message_started = True
-
-            elif event_type == "conversation.chat.completed":
-                # 对话完成
-                logger.debug("Coze chat completed")
-                break
-
-            elif event_type == "error":
-                # 错误处理
-                error_msg = data.get("msg", "未知错误")
-                error_code = data.get("code", "UNKNOWN")
-                logger.error(f"Coze 出现错误: {error_code} - {error_msg}")
-                raise Exception(f"Coze 出现错误: {error_code} - {error_msg}")
-
-        if not message_started and not accumulated_content:
-            logger.warning("Coze 未返回任何内容")
-            accumulated_content = ""
-
-        # 创建最终响应
-        chain = MessageChain(chain=[Comp.Plain(accumulated_content)])
-        self.final_llm_resp = LLMResponse(role="assistant", result_chain=chain)
-        self._transition_state(AgentState.DONE)
-
-        try:
-            await self.agent_hooks.on_agent_done(self.run_context, self.final_llm_resp)
-        except Exception as e:
-            logger.error(f"Error in on_agent_done hook: {e}", exc_info=True)
-
-        # 返回最终结果
-        yield AgentResponse(
-            type="llm_result",
-            data=AgentResponseData(chain=chain),
-        )
-
-    async def _download_and_upload_image(
-        self,
-        image_url: str,
-        session_id: str | None = None,
-    ) -> str:
-        """下载图片并上传到 Coze，返回 file_id"""
-        import hashlib
-
-        # 计算哈希实现缓存
-        cache_key = hashlib.md5(image_url.encode("utf-8")).hexdigest()
-
-        if session_id:
-            if session_id not in self.file_id_cache:
-                self.file_id_cache[session_id] = {}
-
-            if cache_key in self.file_id_cache[session_id]:
-                file_id = self.file_id_cache[session_id][cache_key]
-                logger.debug(f"[Coze] 使用缓存的 file_id: {file_id}")
-                return file_id
-
-        try:
-            image_data = await self.api_client.download_image(image_url)
-            file_id = await self.api_client.upload_file(image_data)
-
-            if session_id:
-                self.file_id_cache[session_id][cache_key] = file_id
-                logger.debug(f"[Coze] 图片上传成功并缓存，file_id: {file_id}")
-
-            return file_id
-
-        except Exception as e:
-            logger.error(f"处理图片失败 {image_url}: {e!s}")
-            raise Exception(f"处理图片失败: {e!s}")
-
-    @override
-    def done(self) -> bool:
-        """检查 Agent 是否已完成工作"""
-        return self._state in (AgentState.DONE, AgentState.ERROR)
-
-    @override
-    def get_final_llm_resp(self) -> LLMResponse | None:
-        return self.final_llm_resp

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

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

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

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

astrbot/core/agent/runners/tool_loop_agent_runner.py

@@ -1,35 +1,31 @@
 import sys
-import time
 import traceback
 import typing as T
-
-from mcp.types import (
-    BlobResourceContents,
-    CallToolResult,
-    EmbeddedResource,
-    ImageContent,
-    TextContent,
-    TextResourceContents,
-)
-
-from astrbot import logger
-from astrbot.core.message.components import Json
+from .base import BaseAgentRunner, AgentResponse, AgentState
+from ..hooks import BaseAgentRunHooks
+from ..tool_executor import BaseFunctionToolExecutor
+from ..run_context import ContextWrapper, TContext
+from ..response import AgentResponseData
+from astrbot.core.provider.provider import Provider
 from astrbot.core.message.message_event_result import (
     MessageChain,
 )
 from astrbot.core.provider.entities import (
-    LLMResponse,
     ProviderRequest,
+    LLMResponse,
+    ToolCallMessageSegment,
+    AssistantMessageSegment,
     ToolCallsResult,
 )
-from astrbot.core.provider.provider import Provider
-
-from ..hooks import BaseAgentRunHooks
-from ..message import AssistantMessageSegment, Message, ToolCallMessageSegment
-from ..response import AgentResponseData, AgentStats
-from ..run_context import ContextWrapper, TContext
-from ..tool_executor import BaseFunctionToolExecutor
-from .base import AgentResponse, AgentState, BaseAgentRunner
+from mcp.types import (
+    TextContent,
+    ImageContent,
+    EmbeddedResource,
+    TextResourceContents,
+    BlobResourceContents,
+    CallToolResult,
+)
+from astrbot import logger
 
 if sys.version_info >= (3, 12):
     from typing import override
@@ -57,43 +53,25 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
         self.agent_hooks = agent_hooks
         self.run_context = run_context
 
-        messages = []
-        # append existing messages in the run context
-        for msg in request.contexts:
-            messages.append(Message.model_validate(msg))
-        if request.prompt is not None:
-            m = await request.assemble_context()
-            messages.append(Message.model_validate(m))
-        if request.system_prompt:
-            messages.insert(
-                0,
-                Message(role="system", content=request.system_prompt),
-            )
-        self.run_context.messages = messages
-
-        self.stats = AgentStats()
-        self.stats.start_time = time.time()
+    def _transition_state(self, new_state: AgentState) -> None:
+        """转换 Agent 状态"""
+        if self._state != new_state:
+            logger.debug(f"Agent state transition: {self._state} -> {new_state}")
+            self._state = new_state
 
     async def _iter_llm_responses(self) -> T.AsyncGenerator[LLMResponse, None]:
         """Yields chunks *and* a final LLMResponse."""
-        payload = {
-            "contexts": self.run_context.messages,  # list[Message]
-            "func_tool": self.req.func_tool,
-            "model": self.req.model,  # NOTE: in fact, this arg is None in most cases
-            "session_id": self.req.session_id,
-            "extra_user_content_parts": self.req.extra_user_content_parts,  # list[ContentPart]
-        }
-
         if self.streaming:
-            stream = self.provider.text_chat_stream(**payload)
+            stream = self.provider.text_chat_stream(**self.req.__dict__)
             async for resp in stream:  # type: ignore
                 yield resp
         else:
-            yield await self.provider.text_chat(**payload)
+            yield await self.provider.text_chat(**self.req.__dict__)
 
     @override
     async def step(self):
-        """Process a single step of the agent.
+        """
+        Process a single step of the agent.
         This method should return the result of the step.
         """
         if not self.req:
@@ -110,38 +88,22 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
         llm_resp_result = None
 
         async for llm_response in self._iter_llm_responses():
+            assert isinstance(llm_response, LLMResponse)
             if llm_response.is_chunk:
-                # update ttft
-                if self.stats.time_to_first_token == 0:
-                    self.stats.time_to_first_token = time.time() - self.stats.start_time
-
                 if llm_response.result_chain:
                     yield AgentResponse(
                         type="streaming_delta",
                         data=AgentResponseData(chain=llm_response.result_chain),
                     )
-                elif llm_response.completion_text:
+                else:
                     yield AgentResponse(
                         type="streaming_delta",
                         data=AgentResponseData(
-                            chain=MessageChain().message(llm_response.completion_text),
-                        ),
-                    )
-                elif llm_response.reasoning_content:
-                    yield AgentResponse(
-                        type="streaming_delta",
-                        data=AgentResponseData(
-                            chain=MessageChain(type="reasoning").message(
-                                llm_response.reasoning_content,
-                            ),
+                            chain=MessageChain().message(llm_response.completion_text)
                         ),
                     )
                 continue
             llm_resp_result = llm_response
-
-            if not llm_response.is_chunk and llm_response.usage:
-                # only count the token usage of the final response for computation purpose
-                self.stats.token_usage += llm_response.usage
             break  # got final response
 
         if not llm_resp_result:
@@ -153,14 +115,13 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
         if llm_resp.role == "err":
             # 如果 LLM 响应错误，转换到错误状态
             self.final_llm_resp = llm_resp
-            self.stats.end_time = time.time()
             self._transition_state(AgentState.ERROR)
             yield AgentResponse(
                 type="err",
                 data=AgentResponseData(
                     chain=MessageChain().message(
-                        f"LLM 响应错误: {llm_resp.completion_text or '未知错误'}",
-                    ),
+                        f"LLM 响应错误: {llm_resp.completion_text or '未知错误'}"
+                    )
                 ),
             )
 
@@ -168,14 +129,6 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             # 如果没有工具调用，转换到完成状态
             self.final_llm_resp = llm_resp
             self._transition_state(AgentState.DONE)
-            self.stats.end_time = time.time()
-            # record the final assistant message
-            self.run_context.messages.append(
-                Message(
-                    role="assistant",
-                    content=llm_resp.completion_text or "*No response*",
-                ),
-            )
             try:
                 await self.agent_hooks.on_agent_done(self.run_context, llm_resp)
             except Exception as e:
@@ -191,72 +144,39 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             yield AgentResponse(
                 type="llm_result",
                 data=AgentResponseData(
-                    chain=MessageChain().message(llm_resp.completion_text),
+                    chain=MessageChain().message(llm_resp.completion_text)
                 ),
             )
 
         # 如果有工具调用，还需处理工具调用
         if llm_resp.tools_call_name:
             tool_call_result_blocks = []
+            for tool_call_name in llm_resp.tools_call_name:
+                yield AgentResponse(
+                    type="tool_call",
+                    data=AgentResponseData(
+                        chain=MessageChain().message(f"🔨 调用工具: {tool_call_name}")
+                    ),
+                )
             async for result in self._handle_function_tools(self.req, llm_resp):
                 if isinstance(result, list):
                     tool_call_result_blocks = result
                 elif isinstance(result, MessageChain):
-                    if result.type is None:
-                        # should not happen
-                        continue
-                    if result.type == "tool_direct_result":
-                        ar_type = "tool_call_result"
-                    else:
-                        ar_type = result.type
                     yield AgentResponse(
-                        type=ar_type,
+                        type="tool_call_result",
                         data=AgentResponseData(chain=result),
                     )
             # 将结果添加到上下文中
             tool_calls_result = ToolCallsResult(
                 tool_calls_info=AssistantMessageSegment(
-                    tool_calls=llm_resp.to_openai_to_calls_model(),
+                    role="assistant",
+                    tool_calls=llm_resp.to_openai_tool_calls(),
                     content=llm_resp.completion_text,
                 ),
                 tool_calls_result=tool_call_result_blocks,
             )
-            # record the assistant message with tool calls
-            self.run_context.messages.extend(
-                tool_calls_result.to_openai_messages_model()
-            )
-
             self.req.append_tool_calls_result(tool_calls_result)
 
-    async def step_until_done(
-        self, max_step: int
-    ) -> T.AsyncGenerator[AgentResponse, None]:
-        """Process steps until the agent is done."""
-        step_count = 0
-        while not self.done() and step_count < max_step:
-            step_count += 1
-            async for resp in self.step():
-                yield resp
-
-        #  如果循环结束了但是 agent 还没有完成，说明是达到了 max_step
-        if not self.done():
-            logger.warning(
-                f"Agent reached max steps ({max_step}), forcing a final response."
-            )
-            # 拔掉所有工具
-            if self.req:
-                self.req.func_tool = None
-            # 注入提示词
-            self.run_context.messages.append(
-                Message(
-                    role="user",
-                    content="工具调用次数已达到上限，请停止使用工具，并根据已经收集到的信息，对你的任务和发现进行总结，然后直接回复用户。",
-                )
-            )
-            # 再执行最后一步
-            async for resp in self.step():
-                yield resp
-
     async def _handle_function_tools(
         self,
         req: ProviderRequest,
@@ -272,19 +192,6 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
             llm_response.tools_call_args,
             llm_response.tools_call_ids,
         ):
-            yield MessageChain(
-                type="tool_call",
-                chain=[
-                    Json(
-                        data={
-                            "id": func_tool_id,
-                            "name": func_tool_name,
-                            "args": func_tool_args,
-                            "ts": time.time(),
-                        }
-                    )
-                ],
-            )
             try:
                 if not req.func_tool:
                     return
@@ -298,43 +205,13 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                             role="tool",
                             tool_call_id=func_tool_id,
                             content=f"error: 未找到工具 {func_tool_name}",
-                        ),
+                        )
                     )
                     continue
 
-                valid_params = {}  # 参数过滤：只传递函数实际需要的参数
-
-                # 获取实际的 handler 函数
-                if func_tool.handler:
-                    logger.debug(
-                        f"工具 {func_tool_name} 期望的参数: {func_tool.parameters}",
-                    )
-                    if func_tool.parameters and func_tool.parameters.get("properties"):
-                        expected_params = set(func_tool.parameters["properties"].keys())
-
-                        valid_params = {
-                            k: v
-                            for k, v in func_tool_args.items()
-                            if k in expected_params
-                        }
-
-                    # 记录被忽略的参数
-                    ignored_params = set(func_tool_args.keys()) - set(
-                        valid_params.keys(),
-                    )
-                    if ignored_params:
-                        logger.warning(
-                            f"工具 {func_tool_name} 忽略非期望参数: {ignored_params}",
-                        )
-                else:
-                    # 如果没有 handler（如 MCP 工具），使用所有参数
-                    valid_params = func_tool_args
-
                 try:
                     await self.agent_hooks.on_tool_start(
-                        self.run_context,
-                        func_tool,
-                        valid_params,
+                        self.run_context, func_tool, func_tool_args
                     )
                 except Exception as e:
                     logger.error(f"Error in on_tool_start hook: {e}", exc_info=True)
@@ -342,7 +219,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                 executor = self.tool_executor.execute(
                     tool=func_tool,
                     run_context=self.run_context,
-                    **valid_params,  # 只传递有效的参数
+                    **func_tool_args,
                 )
 
                 _final_resp: CallToolResult | None = None
@@ -356,18 +233,19 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                     role="tool",
                                     tool_call_id=func_tool_id,
                                     content=res.content[0].text,
-                                ),
+                                )
                             )
+                            yield MessageChain().message(res.content[0].text)
                         elif isinstance(res.content[0], ImageContent):
                             tool_call_result_blocks.append(
                                 ToolCallMessageSegment(
                                     role="tool",
                                     tool_call_id=func_tool_id,
                                     content="返回了图片(已直接发送给用户)",
-                                ),
+                                )
                             )
                             yield MessageChain(type="tool_direct_result").base64_image(
-                                res.content[0].data,
+                                res.content[0].data
                             )
                         elif isinstance(res.content[0], EmbeddedResource):
                             resource = res.content[0].resource
@@ -377,8 +255,9 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                         role="tool",
                                         tool_call_id=func_tool_id,
                                         content=resource.text,
-                                    ),
+                                    )
                                 )
+                                yield MessageChain().message(resource.text)
                             elif (
                                 isinstance(resource, BlobResourceContents)
                                 and resource.mimeType
@@ -389,10 +268,10 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                         role="tool",
                                         tool_call_id=func_tool_id,
                                         content="返回了图片(已直接发送给用户)",
-                                    ),
+                                    )
                                 )
                                 yield MessageChain(
-                                    type="tool_direct_result",
+                                    type="tool_direct_result"
                                 ).base64_image(resource.blob)
                             else:
                                 tool_call_result_blocks.append(
@@ -400,72 +279,42 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
                                         role="tool",
                                         tool_call_id=func_tool_id,
                                         content="返回的数据类型不受支持",
-                                    ),
+                                    )
                                 )
+                                yield MessageChain().message("返回的数据类型不受支持。")
 
                     elif resp is None:
                         # Tool 直接请求发送消息给用户
                         # 这里我们将直接结束 Agent Loop。
-                        # 发送消息逻辑在 ToolExecutor 中处理了。
-                        logger.warning(
-                            f"{func_tool_name} 没有没有返回值或者将结果直接发送给用户。"
-                        )
                         self._transition_state(AgentState.DONE)
-                        self.stats.end_time = time.time()
-                        tool_call_result_blocks.append(
-                            ToolCallMessageSegment(
-                                role="tool",
-                                tool_call_id=func_tool_id,
-                                content="*工具没有返回值或者将结果直接发送给了用户*",
-                            ),
-                        )
+                        if res := self.run_context.event.get_result():
+                            if res.chain:
+                                yield MessageChain(
+                                    chain=res.chain, type="tool_direct_result"
+                                )
                     else:
                         # 不应该出现其他类型
                         logger.warning(
-                            f"Tool 返回了不支持的类型: {type(resp)}。",
-                        )
-                        tool_call_result_blocks.append(
-                            ToolCallMessageSegment(
-                                role="tool",
-                                tool_call_id=func_tool_id,
-                                content="*工具返回了不支持的类型，请告诉用户检查这个工具的定义和实现。*",
-                            ),
+                            f"Tool 返回了不支持的类型: {type(resp)}，将忽略。"
                         )
 
                 try:
                     await self.agent_hooks.on_tool_end(
-                        self.run_context,
-                        func_tool,
-                        func_tool_args,
-                        _final_resp,
+                        self.run_context, func_tool, func_tool_args, _final_resp
                     )
                 except Exception as e:
                     logger.error(f"Error in on_tool_end hook: {e}", exc_info=True)
+
+                self.run_context.event.clear_result()
             except Exception as e:
                 logger.warning(traceback.format_exc())
                 tool_call_result_blocks.append(
                     ToolCallMessageSegment(
                         role="tool",
                         tool_call_id=func_tool_id,
-                        content=f"error: {e!s}",
-                    ),
-                )
-
-        # yield the last tool call result
-        if tool_call_result_blocks:
-            last_tcr_content = str(tool_call_result_blocks[-1].content)
-            yield MessageChain(
-                type="tool_call_result",
-                chain=[
-                    Json(
-                        data={
-                            "id": func_tool_id,
-                            "ts": time.time(),
-                            "result": last_tcr_content,
-                        }
+                        content=f"error: {str(e)}",
                     )
-                ],
-            )
+                )
 
         # 处理函数调用响应
         if tool_call_result_blocks:

astrbot/core/agent/tool.py

@@ -1,82 +1,58 @@
-from collections.abc import AsyncGenerator, Awaitable, Callable
-from typing import Any, Generic
-
-import jsonschema
-import mcp
+from dataclasses import dataclass
 from deprecated import deprecated
-from pydantic import Field, model_validator
-from pydantic.dataclasses import dataclass
-
-from astrbot.core.message.message_event_result import MessageEventResult
-
-from .run_context import ContextWrapper, TContext
-
-ParametersType = dict[str, Any]
-ToolExecResult = str | mcp.types.CallToolResult
+from typing import Awaitable, Callable, Literal, Any, Optional
+from .mcp_client import MCPClient
 
 
 @dataclass
-class ToolSchema:
-    """A class representing the schema of a tool for function calling."""
+class FunctionTool:
+    """A class representing a function tool that can be used in function calling."""
 
     name: str
-    """The name of the tool."""
-
-    description: str
-    """The description of the tool."""
-
-    parameters: ParametersType
-    """The parameters of the tool, in JSON Schema format."""
-
-    @model_validator(mode="after")
-    def validate_parameters(self) -> "ToolSchema":
-        jsonschema.validate(
-            self.parameters, jsonschema.Draft202012Validator.META_SCHEMA
-        )
-        return self
-
-
-@dataclass
-class FunctionTool(ToolSchema, Generic[TContext]):
-    """A callable tool, for function calling."""
-
-    handler: (
-        Callable[..., Awaitable[str | None] | AsyncGenerator[MessageEventResult, None]]
-        | None
-    ) = None
-    """a callable that implements the tool's functionality. It should be an async function."""
-
+    parameters: dict | None = None
+    description: str | None = None
+    handler: Callable[..., Awaitable[Any]] | None = None
+    """处理函数, 当 origin 为 mcp 时，这个为空"""
     handler_module_path: str | None = None
-    """
-    The module path of the handler function. This is empty when the origin is mcp.
-    This field must be retained, as the handler will be wrapped in functools.partial during initialization,
-    causing the handler's __module__ to be functools
+    """处理函数的模块路径，当 origin 为 mcp 时，这个为空
+
+    必须要保留这个字段, handler 在初始化会被 functools.partial 包装，导致 handler 的 __module__ 为 functools
     """
     active: bool = True
-    """
-    Whether the tool is active. This field is a special field for AstrBot.
-    You can ignore it when integrating with other frameworks.
-    """
+    """是否激活"""
+
+    origin: Literal["local", "mcp"] = "local"
+    """函数工具的来源, local 为本地函数工具, mcp 为 MCP 服务"""
+
+    # MCP 相关字段
+    mcp_server_name: str | None = None
+    """MCP 服务名称，当 origin 为 mcp 时有效"""
+    mcp_client: MCPClient | None = None
+    """MCP 客户端，当 origin 为 mcp 时有效"""
 
     def __repr__(self):
-        return f"FuncTool(name={self.name}, parameters={self.parameters}, description={self.description})"
+        return f"FuncTool(name={self.name}, parameters={self.parameters}, description={self.description}, active={self.active}, origin={self.origin})"
 
-    async def call(self, context: ContextWrapper[TContext], **kwargs) -> ToolExecResult:
-        """Run the tool with the given arguments. The handler field has priority."""
-        raise NotImplementedError(
-            "FunctionTool.call() must be implemented by subclasses or set a handler."
-        )
+    def __dict__(self) -> dict[str, Any]:
+        """将 FunctionTool 转换为字典格式"""
+        return {
+            "name": self.name,
+            "parameters": self.parameters,
+            "description": self.description,
+            "active": self.active,
+            "origin": self.origin,
+            "mcp_server_name": self.mcp_server_name,
+        }
 
 
-@dataclass
 class ToolSet:
     """A set of function tools that can be used in function calling.
 
     This class provides methods to add, remove, and retrieve tools, as well as
-    convert the tools to different API formats (OpenAI, Anthropic, Google GenAI).
-    """
+    convert the tools to different API formats (OpenAI, Anthropic, Google GenAI)."""
 
-    tools: list[FunctionTool] = Field(default_factory=list)
+    def __init__(self, tools: list[FunctionTool] | None = None):
+        self.tools: list[FunctionTool] = tools or []
 
     def empty(self) -> bool:
         """Check if the tool set is empty."""
@@ -95,7 +71,7 @@ class ToolSet:
         """Remove a tool by its name."""
         self.tools = [tool for tool in self.tools if tool.name != name]
 
-    def get_tool(self, name: str) -> FunctionTool | None:
+    def get_tool(self, name: str) -> Optional[FunctionTool]:
         """Get a tool by its name."""
         for tool in self.tools:
             if tool.name == name:
@@ -156,8 +132,10 @@ class ToolSet:
             }
 
             if (
-                tool.parameters and tool.parameters.get("properties")
-            ) or not omit_empty_parameter_field:
+                tool.parameters
+                and tool.parameters.get("properties")
+                or not omit_empty_parameter_field
+            ):
                 func_def["function"]["parameters"] = tool.parameters
 
             result.append(func_def)
@@ -207,8 +185,7 @@ class ToolSet:
             if "type" in schema and schema["type"] in supported_types:
                 result["type"] = schema["type"]
                 if "format" in schema and schema["format"] in supported_formats.get(
-                    result["type"],
-                    set(),
+                    result["type"], set()
                 ):
                     result["format"] = schema["format"]
             else:
@@ -245,7 +222,7 @@ class ToolSet:
 
         tools = []
         for tool in self.tools:
-            d: dict[str, Any] = {
+            d = {
                 "name": tool.name,
                 "description": tool.description,
             }

astrbot/core/agent/tool_executor.py

@@ -1,17 +1,11 @@
-from collections.abc import AsyncGenerator
-from typing import Any, Generic
-
 import mcp
-
-from .run_context import ContextWrapper, TContext
+from typing import Any, Generic, AsyncGenerator
+from .run_context import TContext, ContextWrapper
 from .tool import FunctionTool
 
 
 class BaseFunctionToolExecutor(Generic[TContext]):
     @classmethod
     async def execute(
-        cls,
-        tool: FunctionTool,
-        run_context: ContextWrapper[TContext],
-        **tool_args,
+        cls, tool: FunctionTool, run_context: ContextWrapper[TContext], **tool_args
     ) -> AsyncGenerator[Any | mcp.types.CallToolResult, None]: ...

astrbot/core/astr_agent_context.py

@@ -1,21 +1,11 @@
-from pydantic import Field
-from pydantic.dataclasses import dataclass
-
-from astrbot.core.agent.run_context import ContextWrapper
-from astrbot.core.platform.astr_message_event import AstrMessageEvent
-from astrbot.core.star.context import Context
+from dataclasses import dataclass
+from astrbot.core.provider import Provider
+from astrbot.core.provider.entities import ProviderRequest
 
 
 @dataclass
 class AstrAgentContext:
-    __pydantic_config__ = {"arbitrary_types_allowed": True}
-
-    context: Context
-    """The star context instance"""
-    event: AstrMessageEvent
-    """The message event associated with the agent context."""
-    extra: dict[str, str] = Field(default_factory=dict)
-    """Customized extra data."""
-
-
-AgentContextWrapper = ContextWrapper[AstrAgentContext]
+    provider: Provider
+    first_provider_request: ProviderRequest
+    curr_provider_request: ProviderRequest
+    streaming: bool

astrbot/core/astr_agent_hooks.py

@@ -1,36 +0,0 @@
-from typing import Any
-
-from mcp.types import CallToolResult
-
-from astrbot.core.agent.hooks import BaseAgentRunHooks
-from astrbot.core.agent.run_context import ContextWrapper
-from astrbot.core.agent.tool import FunctionTool
-from astrbot.core.astr_agent_context import AstrAgentContext
-from astrbot.core.pipeline.context_utils import call_event_hook
-from astrbot.core.star.star_handler import EventType
-
-
-class MainAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
-    async def on_agent_done(self, run_context, llm_response):
-        # 执行事件钩子
-        await call_event_hook(
-            run_context.context.event,
-            EventType.OnLLMResponseEvent,
-            llm_response,
-        )
-
-    async def on_tool_end(
-        self,
-        run_context: ContextWrapper[AstrAgentContext],
-        tool: FunctionTool[Any],
-        tool_args: dict | None,
-        tool_result: CallToolResult | None,
-    ):
-        run_context.context.event.clear_result()
-
-
-class EmptyAgentHooks(BaseAgentRunHooks[AstrAgentContext]):
-    pass
-
-
-MAIN_AGENT_HOOKS = MainAgentHooks()

astrbot/core/astr_agent_run_util.py

@@ -1,133 +0,0 @@
-import traceback
-from collections.abc import AsyncGenerator
-
-from astrbot.core import logger
-from astrbot.core.agent.message import Message
-from astrbot.core.agent.runners.tool_loop_agent_runner import ToolLoopAgentRunner
-from astrbot.core.astr_agent_context import AstrAgentContext
-from astrbot.core.message.components import Json
-from astrbot.core.message.message_event_result import (
-    MessageChain,
-    MessageEventResult,
-    ResultContentType,
-)
-from astrbot.core.provider.entities import LLMResponse
-
-AgentRunner = ToolLoopAgentRunner[AstrAgentContext]
-
-
-async def run_agent(
-    agent_runner: AgentRunner,
-    max_step: int = 30,
-    show_tool_use: bool = True,
-    stream_to_general: bool = False,
-    show_reasoning: bool = False,
-) -> AsyncGenerator[MessageChain | None, None]:
-    step_idx = 0
-    astr_event = agent_runner.run_context.context.event
-    while step_idx < max_step + 1:
-        step_idx += 1
-
-        if step_idx == max_step + 1:
-            logger.warning(
-                f"Agent reached max steps ({max_step}), forcing a final response."
-            )
-            if not agent_runner.done():
-                # 拔掉所有工具
-                if agent_runner.req:
-                    agent_runner.req.func_tool = None
-                # 注入提示词
-                agent_runner.run_context.messages.append(
-                    Message(
-                        role="user",
-                        content="工具调用次数已达到上限，请停止使用工具，并根据已经收集到的信息，对你的任务和发现进行总结，然后直接回复用户。",
-                    )
-                )
-
-        try:
-            async for resp in agent_runner.step():
-                if astr_event.is_stopped():
-                    return
-                if resp.type == "tool_call_result":
-                    msg_chain = resp.data["chain"]
-                    if msg_chain.type == "tool_direct_result":
-                        # tool_direct_result 用于标记 llm tool 需要直接发送给用户的内容
-                        await astr_event.send(msg_chain)
-                        continue
-                    if astr_event.get_platform_id() == "webchat":
-                        await astr_event.send(msg_chain)
-                    # 对于其他情况，暂时先不处理
-                    continue
-                elif resp.type == "tool_call":
-                    if agent_runner.streaming:
-                        # 用来标记流式响应需要分节
-                        yield MessageChain(chain=[], type="break")
-
-                    if astr_event.get_platform_name() == "webchat":
-                        await astr_event.send(resp.data["chain"])
-                    elif show_tool_use:
-                        json_comp = resp.data["chain"].chain[0]
-                        if isinstance(json_comp, Json):
-                            m = f"🔨 调用工具: {json_comp.data.get('name')}"
-                        else:
-                            m = "🔨 调用工具..."
-                        chain = MessageChain(type="tool_call").message(m)
-                        await astr_event.send(chain)
-                    continue
-
-                if stream_to_general and resp.type == "streaming_delta":
-                    continue
-
-                if stream_to_general or not agent_runner.streaming:
-                    content_typ = (
-                        ResultContentType.LLM_RESULT
-                        if resp.type == "llm_result"
-                        else ResultContentType.GENERAL_RESULT
-                    )
-                    astr_event.set_result(
-                        MessageEventResult(
-                            chain=resp.data["chain"].chain,
-                            result_content_type=content_typ,
-                        ),
-                    )
-                    yield
-                    astr_event.clear_result()
-                elif resp.type == "streaming_delta":
-                    chain = resp.data["chain"]
-                    if chain.type == "reasoning" and not show_reasoning:
-                        # display the reasoning content only when configured
-                        continue
-                    yield resp.data["chain"]  # MessageChain
-            if agent_runner.done():
-                # send agent stats to webchat
-                if astr_event.get_platform_name() == "webchat":
-                    await astr_event.send(
-                        MessageChain(
-                            type="agent_stats",
-                            chain=[Json(data=agent_runner.stats.to_dict())],
-                        )
-                    )
-
-                break
-
-        except Exception as e:
-            logger.error(traceback.format_exc())
-
-            err_msg = f"\n\nAstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {e!s}\n\n请在平台日志查看和分享错误详情。\n"
-
-            error_llm_response = LLMResponse(
-                role="err",
-                completion_text=err_msg,
-            )
-            try:
-                await agent_runner.agent_hooks.on_agent_done(
-                    agent_runner.run_context, error_llm_response
-                )
-            except Exception:
-                logger.exception("Error in on_agent_done hook")
-
-            if agent_runner.streaming:
-                yield MessageChain().message(err_msg)
-            else:
-                astr_event.set_result(MessageEventResult().message(err_msg))
-            return

astrbot/core/astr_agent_tool_exec.py

@@ -1,280 +0,0 @@
-import asyncio
-import inspect
-import traceback
-import typing as T
-
-import mcp
-
-from astrbot import logger
-from astrbot.core.agent.handoff import HandoffTool
-from astrbot.core.agent.mcp_client import MCPTool
-from astrbot.core.agent.run_context import ContextWrapper
-from astrbot.core.agent.tool import FunctionTool, ToolSet
-from astrbot.core.agent.tool_executor import BaseFunctionToolExecutor
-from astrbot.core.astr_agent_context import AstrAgentContext
-from astrbot.core.message.message_event_result import (
-    CommandResult,
-    MessageChain,
-    MessageEventResult,
-)
-from astrbot.core.provider.register import llm_tools
-
-
-class FunctionToolExecutor(BaseFunctionToolExecutor[AstrAgentContext]):
-    @classmethod
-    async def execute(cls, tool, run_context, **tool_args):
-        """执行函数调用。
-
-        Args:
-            event (AstrMessageEvent): 事件对象, 当 origin 为 local 时必须提供。
-            **kwargs: 函数调用的参数。
-
-        Returns:
-            AsyncGenerator[None | mcp.types.CallToolResult, None]
-
-        """
-        if isinstance(tool, HandoffTool):
-            async for r in cls._execute_handoff(tool, run_context, **tool_args):
-                yield r
-            return
-
-        elif isinstance(tool, MCPTool):
-            async for r in cls._execute_mcp(tool, run_context, **tool_args):
-                yield r
-            return
-
-        else:
-            async for r in cls._execute_local(tool, run_context, **tool_args):
-                yield r
-            return
-
-    @classmethod
-    async def _execute_handoff(
-        cls,
-        tool: HandoffTool,
-        run_context: ContextWrapper[AstrAgentContext],
-        **tool_args,
-    ):
-        input_ = tool_args.get("input")
-
-        # make toolset for the agent
-        tools = tool.agent.tools
-        if tools:
-            toolset = ToolSet()
-            for t in tools:
-                if isinstance(t, str):
-                    _t = llm_tools.get_func(t)
-                    if _t:
-                        toolset.add_tool(_t)
-                elif isinstance(t, FunctionTool):
-                    toolset.add_tool(t)
-        else:
-            toolset = None
-
-        ctx = run_context.context.context
-        event = run_context.context.event
-        umo = event.unified_msg_origin
-        prov_id = await ctx.get_current_chat_provider_id(umo)
-        llm_resp = await ctx.tool_loop_agent(
-            event=event,
-            chat_provider_id=prov_id,
-            prompt=input_,
-            system_prompt=tool.agent.instructions,
-            tools=toolset,
-            max_steps=30,
-            run_hooks=tool.agent.run_hooks,
-        )
-        yield mcp.types.CallToolResult(
-            content=[mcp.types.TextContent(type="text", text=llm_resp.completion_text)]
-        )
-
-    @classmethod
-    async def _execute_local(
-        cls,
-        tool: FunctionTool,
-        run_context: ContextWrapper[AstrAgentContext],
-        **tool_args,
-    ):
-        event = run_context.context.event
-        if not event:
-            raise ValueError("Event must be provided for local function tools.")
-
-        is_override_call = False
-        for ty in type(tool).mro():
-            if "call" in ty.__dict__ and ty.__dict__["call"] is not FunctionTool.call:
-                is_override_call = True
-                break
-
-        # 检查 tool 下有没有 run 方法
-        if not tool.handler and not hasattr(tool, "run") and not is_override_call:
-            raise ValueError("Tool must have a valid handler or override 'run' method.")
-
-        awaitable = None
-        method_name = ""
-        if tool.handler:
-            awaitable = tool.handler
-            method_name = "decorator_handler"
-        elif is_override_call:
-            awaitable = tool.call
-            method_name = "call"
-        elif hasattr(tool, "run"):
-            awaitable = getattr(tool, "run")
-            method_name = "run"
-        if awaitable is None:
-            raise ValueError("Tool must have a valid handler or override 'run' method.")
-
-        wrapper = call_local_llm_tool(
-            context=run_context,
-            handler=awaitable,
-            method_name=method_name,
-            **tool_args,
-        )
-        while True:
-            try:
-                resp = await asyncio.wait_for(
-                    anext(wrapper),
-                    timeout=run_context.tool_call_timeout,
-                )
-                if resp is not None:
-                    if isinstance(resp, mcp.types.CallToolResult):
-                        yield resp
-                    else:
-                        text_content = mcp.types.TextContent(
-                            type="text",
-                            text=str(resp),
-                        )
-                        yield mcp.types.CallToolResult(content=[text_content])
-                else:
-                    # NOTE: Tool 在这里直接请求发送消息给用户
-                    # TODO: 是否需要判断 event.get_result() 是否为空?
-                    # 如果为空,则说明没有发送消息给用户,并且返回值为空,将返回一个特殊的 TextContent,其内容如"工具没有返回内容"
-                    if res := run_context.context.event.get_result():
-                        if res.chain:
-                            try:
-                                await event.send(
-                                    MessageChain(
-                                        chain=res.chain,
-                                        type="tool_direct_result",
-                                    )
-                                )
-                            except Exception as e:
-                                logger.error(
-                                    f"Tool 直接发送消息失败: {e}",
-                                    exc_info=True,
-                                )
-                    yield None
-            except asyncio.TimeoutError:
-                raise Exception(
-                    f"tool {tool.name} execution timeout after {run_context.tool_call_timeout} seconds.",
-                )
-            except StopAsyncIteration:
-                break
-
-    @classmethod
-    async def _execute_mcp(
-        cls,
-        tool: FunctionTool,
-        run_context: ContextWrapper[AstrAgentContext],
-        **tool_args,
-    ):
-        res = await tool.call(run_context, **tool_args)
-        if not res:
-            return
-        yield res
-
-
-async def call_local_llm_tool(
-    context: ContextWrapper[AstrAgentContext],
-    handler: T.Callable[
-        ...,
-        T.Awaitable[MessageEventResult | mcp.types.CallToolResult | str | None]
-        | T.AsyncGenerator[MessageEventResult | CommandResult | str | None, None],
-    ],
-    method_name: str,
-    *args,
-    **kwargs,
-) -> T.AsyncGenerator[T.Any, None]:
-    """执行本地 LLM 工具的处理函数并处理其返回结果"""
-    ready_to_call = None  # 一个协程或者异步生成器
-
-    trace_ = None
-
-    event = context.context.event
-
-    try:
-        if method_name == "run" or method_name == "decorator_handler":
-            ready_to_call = handler(event, *args, **kwargs)
-        elif method_name == "call":
-            ready_to_call = handler(context, *args, **kwargs)
-        else:
-            raise ValueError(f"未知的方法名: {method_name}")
-    except ValueError as e:
-        raise Exception(f"Tool execution ValueError: {e}") from e
-    except TypeError as e:
-        # 获取函数的签名（包括类型），除了第一个 event/context 参数。
-        try:
-            sig = inspect.signature(handler)
-            params = list(sig.parameters.values())
-            # 跳过第一个参数（event 或 context）
-            if params:
-                params = params[1:]
-
-            param_strs = []
-            for param in params:
-                param_str = param.name
-                if param.annotation != inspect.Parameter.empty:
-                    # 获取类型注解的字符串表示
-                    if isinstance(param.annotation, type):
-                        type_str = param.annotation.__name__
-                    else:
-                        type_str = str(param.annotation)
-                    param_str += f": {type_str}"
-                if param.default != inspect.Parameter.empty:
-                    param_str += f" = {param.default!r}"
-                param_strs.append(param_str)
-
-            handler_param_str = (
-                ", ".join(param_strs) if param_strs else "(no additional parameters)"
-            )
-        except Exception:
-            handler_param_str = "(unable to inspect signature)"
-
-        raise Exception(
-            f"Tool handler parameter mismatch, please check the handler definition. Handler parameters: {handler_param_str}"
-        ) from e
-    except Exception as e:
-        trace_ = traceback.format_exc()
-        raise Exception(f"Tool execution error: {e}. Traceback: {trace_}") from e
-
-    if not ready_to_call:
-        return
-
-    if inspect.isasyncgen(ready_to_call):
-        _has_yielded = False
-        try:
-            async for ret in ready_to_call:
-                # 这里逐步执行异步生成器, 对于每个 yield 返回的 ret, 执行下面的代码
-                # 返回值只能是 MessageEventResult 或者 None（无返回值）
-                _has_yielded = True
-                if isinstance(ret, (MessageEventResult, CommandResult)):
-                    # 如果返回值是 MessageEventResult, 设置结果并继续
-                    event.set_result(ret)
-                    yield
-                else:
-                    # 如果返回值是 None, 则不设置结果并继续
-                    # 继续执行后续阶段
-                    yield ret
-            if not _has_yielded:
-                # 如果这个异步生成器没有执行到 yield 分支
-                yield
-        except Exception as e:
-            logger.error(f"Previous Error: {trace_}")
-            raise e
-    elif inspect.iscoroutine(ready_to_call):
-        # 如果只是一个协程, 直接执行
-        ret = await ready_to_call
-        if isinstance(ret, (MessageEventResult, CommandResult)):
-            event.set_result(ret)
-            yield
-        else:
-            yield ret

astrbot/core/astrbot_config_mgr.py

@@ -1,14 +1,12 @@
 import os
 import uuid
-from typing import TypedDict, TypeVar
-
 from astrbot.core import AstrBotConfig, logger
+from astrbot.core.utils.shared_preferences import SharedPreferences
 from astrbot.core.config.astrbot_config import ASTRBOT_CONFIG_PATH
 from astrbot.core.config.default import DEFAULT_CONFIG
 from astrbot.core.platform.message_session import MessageSession
-from astrbot.core.umop_config_router import UmopConfigRouter
 from astrbot.core.utils.astrbot_path import get_astrbot_config_path
-from astrbot.core.utils.shared_preferences import SharedPreferences
+from typing import TypeVar, TypedDict
 
 _VT = TypeVar("_VT")
 
@@ -17,12 +15,14 @@ class ConfInfo(TypedDict):
     """Configuration information for a specific session or platform."""
 
     id: str  # UUID of the configuration or "default"
+    umop: list[str]  # Unified Message Origin Pattern
     name: str
     path: str  # File name to the configuration file
 
 
 DEFAULT_CONFIG_CONF_INFO = ConfInfo(
     id="default",
+    umop=["::"],
     name="default",
     path=ASTRBOT_CONFIG_PATH,
 )
@@ -31,14 +31,8 @@ DEFAULT_CONFIG_CONF_INFO = ConfInfo(
 class AstrBotConfigManager:
     """A class to manage the system configuration of AstrBot, aka ACM"""
 
-    def __init__(
-        self,
-        default_config: AstrBotConfig,
-        ucr: UmopConfigRouter,
-        sp: SharedPreferences,
-    ):
+    def __init__(self, default_config: AstrBotConfig, sp: SharedPreferences):
         self.sp = sp
-        self.ucr = ucr
         self.confs: dict[str, AstrBotConfig] = {}
         """uuid / "default" -> AstrBotConfig"""
         self.confs["default"] = default_config
@@ -49,10 +43,7 @@ class AstrBotConfigManager:
         """获取所有的 abconf 数据"""
         if self.abconf_data is None:
             self.abconf_data = self.sp.get(
-                "abconf_mapping",
-                {},
-                scope="global",
-                scope_id="global",
+                "abconf_mapping", {}, scope="global", scope_id="global"
             )
         return self.abconf_data
 
@@ -68,20 +59,28 @@ class AstrBotConfigManager:
                 self.confs[uuid_] = conf
             else:
                 logger.warning(
-                    f"Config file {conf_path} for UUID {uuid_} does not exist, skipping.",
+                    f"Config file {conf_path} for UUID {uuid_} does not exist, skipping."
                 )
                 continue
 
+    def _is_umo_match(self, p1: str, p2: str) -> bool:
+        """判断 p2 umo 是否逻辑包含于 p1 umo"""
+        p1_ls = p1.split(":")
+        p2_ls = p2.split(":")
+
+        if len(p1_ls) != 3 or len(p2_ls) != 3:
+            return False  # 非法格式
+
+        return all(p == "" or p == "*" or p == t for p, t in zip(p1_ls, p2_ls))
+
     def _load_conf_mapping(self, umo: str | MessageSession) -> ConfInfo:
         """获取指定 umo 的配置文件 uuid, 如果不存在则返回默认配置(返回 "default")
 
         Returns:
             ConfInfo: 包含配置文件的 uuid, 路径和名称等信息, 是一个 dict 类型
-
         """
-        # uuid -> { "path": str, "name": str }
+        # uuid -> { "umop": list, "path": str, "name": str }
         abconf_data = self._get_abconf_data()
-
         if isinstance(umo, MessageSession):
             umo = str(umo)
         else:
@@ -90,13 +89,10 @@ class AstrBotConfigManager:
             except Exception:
                 return DEFAULT_CONFIG_CONF_INFO
 
-        conf_id = self.ucr.get_conf_id_for_umop(umo)
-        if conf_id:
-            meta = abconf_data.get(conf_id)
-            if meta and isinstance(meta, dict):
-                # the bind relation between umo and conf is defined in ucr now, so we remove "umop" here
-                meta.pop("umop", None)
-                return ConfInfo(**meta, id=conf_id)
+        for uuid_, meta in abconf_data.items():
+            for pattern in meta["umop"]:
+                if self._is_umo_match(pattern, umo):
+                    return ConfInfo(**meta, id=uuid_)
 
         return DEFAULT_CONFIG_CONF_INFO
 
@@ -104,17 +100,23 @@ class AstrBotConfigManager:
         self,
         abconf_path: str,
         abconf_id: str,
+        umo_parts: list[str] | list[MessageSession],
         abconf_name: str | None = None,
     ) -> None:
         """保存配置文件的映射关系"""
+        for part in umo_parts:
+            if isinstance(part, MessageSession):
+                part = str(part)
+            elif not isinstance(part, str):
+                raise ValueError(
+                    "umo_parts must be a list of strings or MessageSession instances"
+                )
         abconf_data = self.sp.get(
-            "abconf_mapping",
-            {},
-            scope="global",
-            scope_id="global",
+            "abconf_mapping", {}, scope="global", scope_id="global"
         )
         random_word = abconf_name or uuid.uuid4().hex[:8]
         abconf_data[abconf_id] = {
+            "umop": umo_parts,
             "path": abconf_path,
             "name": random_word,
         }
@@ -151,26 +153,29 @@ class AstrBotConfigManager:
     def get_conf_list(self) -> list[ConfInfo]:
         """获取所有配置文件的元数据列表"""
         conf_list = []
+        conf_list.append(DEFAULT_CONFIG_CONF_INFO)
         abconf_mapping = self._get_abconf_data()
         for uuid_, meta in abconf_mapping.items():
-            if not isinstance(meta, dict):
-                continue
-            meta.pop("umop", None)
             conf_list.append(ConfInfo(**meta, id=uuid_))
-        conf_list.append(DEFAULT_CONFIG_CONF_INFO)
         return conf_list
 
     def create_conf(
         self,
+        umo_parts: list[str] | list[MessageSession],
         config: dict = DEFAULT_CONFIG,
         name: str | None = None,
     ) -> str:
+        """
+        umo 由三个部分组成 [platform_id]:[message_type]:[session_id]。
+
+        umo_parts 可以是 "::" (代表所有), 可以是 "[platform_id]::" (代表指定平台下的所有类型消息和会话)。
+        """
         conf_uuid = str(uuid.uuid4())
         conf_file_name = f"abconf_{conf_uuid}.json"
         conf_path = os.path.join(get_astrbot_config_path(), conf_file_name)
         conf = AstrBotConfig(config_path=conf_path, default_config=config)
         conf.save_config()
-        self._save_conf_mapping(conf_file_name, conf_uuid, abconf_name=name)
+        self._save_conf_mapping(conf_file_name, conf_uuid, umo_parts, abconf_name=name)
         self.confs[conf_uuid] = conf
         return conf_uuid
 
@@ -185,17 +190,13 @@ class AstrBotConfigManager:
 
         Raises:
             ValueError: 如果试图删除默认配置文件
-
         """
         if conf_id == "default":
             raise ValueError("不能删除默认配置文件")
 
         # 从映射中移除
         abconf_data = self.sp.get(
-            "abconf_mapping",
-            {},
-            scope="global",
-            scope_id="global",
+            "abconf_mapping", {}, scope="global", scope_id="global"
         )
         if conf_id not in abconf_data:
             logger.warning(f"配置文件 {conf_id} 不存在于映射中")
@@ -203,8 +204,7 @@ class AstrBotConfigManager:
 
         # 获取配置文件路径
         conf_path = os.path.join(
-            get_astrbot_config_path(),
-            abconf_data[conf_id]["path"],
+            get_astrbot_config_path(), abconf_data[conf_id]["path"]
         )
 
         # 删除配置文件
@@ -228,25 +228,24 @@ class AstrBotConfigManager:
         logger.info(f"成功删除配置文件 {conf_id}")
         return True
 
-    def update_conf_info(self, conf_id: str, name: str | None = None) -> bool:
+    def update_conf_info(
+        self, conf_id: str, name: str | None = None, umo_parts: list[str] | None = None
+    ) -> bool:
         """更新配置文件信息
 
         Args:
             conf_id: 配置文件的 UUID
             name: 新的配置文件名称 (可选)
+            umo_parts: 新的 UMO 部分列表 (可选)
 
         Returns:
             bool: 更新是否成功
-
         """
         if conf_id == "default":
             raise ValueError("不能更新默认配置文件的信息")
 
         abconf_data = self.sp.get(
-            "abconf_mapping",
-            {},
-            scope="global",
-            scope_id="global",
+            "abconf_mapping", {}, scope="global", scope_id="global"
         )
         if conf_id not in abconf_data:
             logger.warning(f"配置文件 {conf_id} 不存在于映射中")
@@ -256,6 +255,18 @@ class AstrBotConfigManager:
         if name is not None:
             abconf_data[conf_id]["name"] = name
 
+        # 更新 UMO 部分
+        if umo_parts is not None:
+            # 验证 UMO 部分格式
+            for part in umo_parts:
+                if isinstance(part, MessageSession):
+                    part = str(part)
+                elif not isinstance(part, str):
+                    raise ValueError(
+                        "umo_parts must be a list of strings or MessageSession instances"
+                    )
+            abconf_data[conf_id]["umop"] = umo_parts
+
         # 保存更新
         self.sp.put("abconf_mapping", abconf_data, scope="global", scope_id="global")
         self.abconf_data = abconf_data
@@ -263,10 +274,7 @@ class AstrBotConfigManager:
         return True
 
     def g(
-        self,
-        umo: str | None = None,
-        key: str | None = None,
-        default: _VT = None,
+        self, umo: str | None = None, key: str | None = None, default: _VT = None
     ) -> _VT:
         """获取配置项。umo 为 None 时使用默认配置"""
         if umo is None:

astrbot/core/backup/__init__.py

@@ -1,26 +0,0 @@
-"""AstrBot 备份与恢复模块
-
-提供数据导出和导入功能，支持用户在服务器迁移时一键备份和恢复所有数据。
-"""
-
-# 从 constants 模块导入共享常量
-from .constants import (
-    BACKUP_MANIFEST_VERSION,
-    KB_METADATA_MODELS,
-    MAIN_DB_MODELS,
-    get_backup_directories,
-)
-
-# 导入导出器和导入器
-from .exporter import AstrBotExporter
-from .importer import AstrBotImporter, ImportPreCheckResult
-
-__all__ = [
-    "AstrBotExporter",
-    "AstrBotImporter",
-    "ImportPreCheckResult",
-    "MAIN_DB_MODELS",
-    "KB_METADATA_MODELS",
-    "get_backup_directories",
-    "BACKUP_MANIFEST_VERSION",
-]

astrbot/core/backup/constants.py

@@ -1,77 +0,0 @@
-"""AstrBot 备份模块共享常量
-
-此文件定义了导出器和导入器共享的常量，确保两端配置一致。
-"""
-
-from sqlmodel import SQLModel
-
-from astrbot.core.db.po import (
-    Attachment,
-    CommandConfig,
-    CommandConflict,
-    ConversationV2,
-    Persona,
-    PlatformMessageHistory,
-    PlatformSession,
-    PlatformStat,
-    Preference,
-)
-from astrbot.core.knowledge_base.models import (
-    KBDocument,
-    KBMedia,
-    KnowledgeBase,
-)
-from astrbot.core.utils.astrbot_path import (
-    get_astrbot_config_path,
-    get_astrbot_plugin_data_path,
-    get_astrbot_plugin_path,
-    get_astrbot_t2i_templates_path,
-    get_astrbot_temp_path,
-    get_astrbot_webchat_path,
-)
-
-# ============================================================
-# 共享常量 - 确保导出和导入端配置一致
-# ============================================================
-
-# 主数据库模型类映射
-MAIN_DB_MODELS: dict[str, type[SQLModel]] = {
-    "platform_stats": PlatformStat,
-    "conversations": ConversationV2,
-    "personas": Persona,
-    "preferences": Preference,
-    "platform_message_history": PlatformMessageHistory,
-    "platform_sessions": PlatformSession,
-    "attachments": Attachment,
-    "command_configs": CommandConfig,
-    "command_conflicts": CommandConflict,
-}
-
-# 知识库元数据模型类映射
-KB_METADATA_MODELS: dict[str, type[SQLModel]] = {
-    "knowledge_bases": KnowledgeBase,
-    "kb_documents": KBDocument,
-    "kb_media": KBMedia,
-}
-
-
-def get_backup_directories() -> dict[str, str]:
-    """获取需要备份的目录列表
-
-    使用 astrbot_path 模块动态获取路径，支持通过环境变量 ASTRBOT_ROOT 自定义根目录。
-
-    Returns:
-        dict: 键为备份文件中的目录名称，值为目录的绝对路径
-    """
-    return {
-        "plugins": get_astrbot_plugin_path(),  # 插件本体
-        "plugin_data": get_astrbot_plugin_data_path(),  # 插件数据
-        "config": get_astrbot_config_path(),  # 配置目录
-        "t2i_templates": get_astrbot_t2i_templates_path(),  # T2I 模板
-        "webchat": get_astrbot_webchat_path(),  # WebChat 数据
-        "temp": get_astrbot_temp_path(),  # 临时文件
-    }
-
-
-# 备份清单版本号
-BACKUP_MANIFEST_VERSION = "1.1"

astrbot/core/backup/exporter.py

@@ -1,476 +0,0 @@
-"""AstrBot 数据导出器
-
-负责将所有数据导出为 ZIP 备份文件。
-导出格式为 JSON，这是数据库无关的方案，支持未来向 MySQL/PostgreSQL 迁移。
-"""
-
-import hashlib
-import json
-import os
-import zipfile
-from datetime import datetime, timezone
-from pathlib import Path
-from typing import TYPE_CHECKING, Any
-
-from sqlalchemy import select
-
-from astrbot.core import logger
-from astrbot.core.config.default import VERSION
-from astrbot.core.db import BaseDatabase
-from astrbot.core.utils.astrbot_path import (
-    get_astrbot_backups_path,
-    get_astrbot_data_path,
-)
-
-# 从共享常量模块导入
-from .constants import (
-    BACKUP_MANIFEST_VERSION,
-    KB_METADATA_MODELS,
-    MAIN_DB_MODELS,
-    get_backup_directories,
-)
-
-if TYPE_CHECKING:
-    from astrbot.core.knowledge_base.kb_mgr import KnowledgeBaseManager
-
-CMD_CONFIG_FILE_PATH = os.path.join(get_astrbot_data_path(), "cmd_config.json")
-
-
-class AstrBotExporter:
-    """AstrBot 数据导出器
-
-    导出内容：
-    - 主数据库所有表（data/data_v4.db）
-    - 知识库元数据（data/knowledge_base/kb.db）
-    - 每个知识库的向量文档数据
-    - 配置文件（data/cmd_config.json）
-    - 附件文件
-    - 知识库多媒体文件
-    - 插件目录（data/plugins）
-    - 插件数据目录（data/plugin_data）
-    - 配置目录（data/config）
-    - T2I 模板目录（data/t2i_templates）
-    - WebChat 数据目录（data/webchat）
-    - 临时文件目录（data/temp）
-    """
-
-    def __init__(
-        self,
-        main_db: BaseDatabase,
-        kb_manager: "KnowledgeBaseManager | None" = None,
-        config_path: str = CMD_CONFIG_FILE_PATH,
-    ):
-        self.main_db = main_db
-        self.kb_manager = kb_manager
-        self.config_path = config_path
-        self._checksums: dict[str, str] = {}
-
-    async def export_all(
-        self,
-        output_dir: str | None = None,
-        progress_callback: Any | None = None,
-    ) -> str:
-        """导出所有数据到 ZIP 文件
-
-        Args:
-            output_dir: 输出目录
-            progress_callback: 进度回调函数，接收参数 (stage, current, total, message)
-
-        Returns:
-            str: 生成的 ZIP 文件路径
-        """
-        if output_dir is None:
-            output_dir = get_astrbot_backups_path()
-
-        # 确保输出目录存在
-        Path(output_dir).mkdir(parents=True, exist_ok=True)
-
-        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-        zip_filename = f"astrbot_backup_{timestamp}.zip"
-        zip_path = os.path.join(output_dir, zip_filename)
-
-        logger.info(f"开始导出备份到 {zip_path}")
-
-        try:
-            with zipfile.ZipFile(zip_path, "w", zipfile.ZIP_DEFLATED) as zf:
-                # 1. 导出主数据库
-                if progress_callback:
-                    await progress_callback("main_db", 0, 100, "正在导出主数据库...")
-                main_data = await self._export_main_database()
-                main_db_json = json.dumps(
-                    main_data, ensure_ascii=False, indent=2, default=str
-                )
-                zf.writestr("databases/main_db.json", main_db_json)
-                self._add_checksum("databases/main_db.json", main_db_json)
-                if progress_callback:
-                    await progress_callback("main_db", 100, 100, "主数据库导出完成")
-
-                # 2. 导出知识库数据
-                kb_meta_data: dict[str, Any] = {
-                    "knowledge_bases": [],
-                    "kb_documents": [],
-                    "kb_media": [],
-                }
-                if self.kb_manager:
-                    if progress_callback:
-                        await progress_callback(
-                            "kb_metadata", 0, 100, "正在导出知识库元数据..."
-                        )
-                    kb_meta_data = await self._export_kb_metadata()
-                    kb_meta_json = json.dumps(
-                        kb_meta_data, ensure_ascii=False, indent=2, default=str
-                    )
-                    zf.writestr("databases/kb_metadata.json", kb_meta_json)
-                    self._add_checksum("databases/kb_metadata.json", kb_meta_json)
-                    if progress_callback:
-                        await progress_callback(
-                            "kb_metadata", 100, 100, "知识库元数据导出完成"
-                        )
-
-                    # 导出每个知识库的文档数据
-                    kb_insts = self.kb_manager.kb_insts
-                    total_kbs = len(kb_insts)
-                    for idx, (kb_id, kb_helper) in enumerate(kb_insts.items()):
-                        if progress_callback:
-                            await progress_callback(
-                                "kb_documents",
-                                idx,
-                                total_kbs,
-                                f"正在导出知识库 {kb_helper.kb.kb_name} 的文档数据...",
-                            )
-                        doc_data = await self._export_kb_documents(kb_helper)
-                        doc_json = json.dumps(
-                            doc_data, ensure_ascii=False, indent=2, default=str
-                        )
-                        doc_path = f"databases/kb_{kb_id}/documents.json"
-                        zf.writestr(doc_path, doc_json)
-                        self._add_checksum(doc_path, doc_json)
-
-                        # 导出 FAISS 索引文件
-                        await self._export_faiss_index(zf, kb_helper, kb_id)
-
-                        # 导出知识库多媒体文件
-                        await self._export_kb_media_files(zf, kb_helper, kb_id)
-
-                    if progress_callback:
-                        await progress_callback(
-                            "kb_documents", total_kbs, total_kbs, "知识库文档导出完成"
-                        )
-
-                # 3. 导出配置文件
-                if progress_callback:
-                    await progress_callback("config", 0, 100, "正在导出配置文件...")
-                if os.path.exists(self.config_path):
-                    with open(self.config_path, encoding="utf-8") as f:
-                        config_content = f.read()
-                    zf.writestr("config/cmd_config.json", config_content)
-                    self._add_checksum("config/cmd_config.json", config_content)
-                if progress_callback:
-                    await progress_callback("config", 100, 100, "配置文件导出完成")
-
-                # 4. 导出附件文件
-                if progress_callback:
-                    await progress_callback("attachments", 0, 100, "正在导出附件...")
-                await self._export_attachments(zf, main_data.get("attachments", []))
-                if progress_callback:
-                    await progress_callback("attachments", 100, 100, "附件导出完成")
-
-                # 5. 导出插件和其他目录
-                if progress_callback:
-                    await progress_callback(
-                        "directories", 0, 100, "正在导出插件和数据目录..."
-                    )
-                dir_stats = await self._export_directories(zf)
-                if progress_callback:
-                    await progress_callback("directories", 100, 100, "目录导出完成")
-
-                # 6. 生成 manifest
-                if progress_callback:
-                    await progress_callback("manifest", 0, 100, "正在生成清单...")
-                manifest = self._generate_manifest(main_data, kb_meta_data, dir_stats)
-                manifest_json = json.dumps(manifest, ensure_ascii=False, indent=2)
-                zf.writestr("manifest.json", manifest_json)
-                if progress_callback:
-                    await progress_callback("manifest", 100, 100, "清单生成完成")
-
-            logger.info(f"备份导出完成: {zip_path}")
-            return zip_path
-
-        except Exception as e:
-            logger.error(f"备份导出失败: {e}")
-            # 清理失败的文件
-            if os.path.exists(zip_path):
-                os.remove(zip_path)
-            raise
-
-    async def _export_main_database(self) -> dict[str, list[dict]]:
-        """导出主数据库所有表"""
-        export_data: dict[str, list[dict]] = {}
-
-        async with self.main_db.get_db() as session:
-            for table_name, model_class in MAIN_DB_MODELS.items():
-                try:
-                    result = await session.execute(select(model_class))
-                    records = result.scalars().all()
-                    export_data[table_name] = [
-                        self._model_to_dict(record) for record in records
-                    ]
-                    logger.debug(
-                        f"导出表 {table_name}: {len(export_data[table_name])} 条记录"
-                    )
-                except Exception as e:
-                    logger.warning(f"导出表 {table_name} 失败: {e}")
-                    export_data[table_name] = []
-
-        return export_data
-
-    async def _export_kb_metadata(self) -> dict[str, list[dict]]:
-        """导出知识库元数据库"""
-        if not self.kb_manager:
-            return {"knowledge_bases": [], "kb_documents": [], "kb_media": []}
-
-        export_data: dict[str, list[dict]] = {}
-
-        async with self.kb_manager.kb_db.get_db() as session:
-            for table_name, model_class in KB_METADATA_MODELS.items():
-                try:
-                    result = await session.execute(select(model_class))
-                    records = result.scalars().all()
-                    export_data[table_name] = [
-                        self._model_to_dict(record) for record in records
-                    ]
-                    logger.debug(
-                        f"导出知识库表 {table_name}: {len(export_data[table_name])} 条记录"
-                    )
-                except Exception as e:
-                    logger.warning(f"导出知识库表 {table_name} 失败: {e}")
-                    export_data[table_name] = []
-
-        return export_data
-
-    async def _export_kb_documents(self, kb_helper: Any) -> dict[str, Any]:
-        """导出知识库的文档块数据"""
-        try:
-            from astrbot.core.db.vec_db.faiss_impl.vec_db import FaissVecDB
-
-            vec_db: FaissVecDB = kb_helper.vec_db
-            if not vec_db or not vec_db.document_storage:
-                return {"documents": []}
-
-            # 获取所有文档
-            docs = await vec_db.document_storage.get_documents(
-                metadata_filters={},
-                offset=0,
-                limit=None,  # 获取全部
-            )
-
-            return {"documents": docs}
-        except Exception as e:
-            logger.warning(f"导出知识库文档失败: {e}")
-            return {"documents": []}
-
-    async def _export_faiss_index(
-        self,
-        zf: zipfile.ZipFile,
-        kb_helper: Any,
-        kb_id: str,
-    ) -> None:
-        """导出 FAISS 索引文件"""
-        try:
-            index_path = kb_helper.kb_dir / "index.faiss"
-            if index_path.exists():
-                archive_path = f"databases/kb_{kb_id}/index.faiss"
-                zf.write(str(index_path), archive_path)
-                logger.debug(f"导出 FAISS 索引: {archive_path}")
-        except Exception as e:
-            logger.warning(f"导出 FAISS 索引失败: {e}")
-
-    async def _export_kb_media_files(
-        self, zf: zipfile.ZipFile, kb_helper: Any, kb_id: str
-    ) -> None:
-        """导出知识库的多媒体文件"""
-        try:
-            media_dir = kb_helper.kb_medias_dir
-            if not media_dir.exists():
-                return
-
-            for root, _, files in os.walk(media_dir):
-                for file in files:
-                    file_path = Path(root) / file
-                    # 计算相对路径
-                    rel_path = file_path.relative_to(kb_helper.kb_dir)
-                    archive_path = f"files/kb_media/{kb_id}/{rel_path}"
-                    zf.write(str(file_path), archive_path)
-        except Exception as e:
-            logger.warning(f"导出知识库媒体文件失败: {e}")
-
-    async def _export_directories(
-        self, zf: zipfile.ZipFile
-    ) -> dict[str, dict[str, int]]:
-        """导出插件和其他数据目录
-
-        Returns:
-            dict: 每个目录的统计信息 {dir_name: {"files": count, "size": bytes}}
-        """
-        stats: dict[str, dict[str, int]] = {}
-        backup_directories = get_backup_directories()
-
-        for dir_name, dir_path in backup_directories.items():
-            full_path = Path(dir_path)
-            if not full_path.exists():
-                logger.debug(f"目录不存在，跳过: {full_path}")
-                continue
-
-            file_count = 0
-            total_size = 0
-
-            try:
-                for root, dirs, files in os.walk(full_path):
-                    # 跳过 __pycache__ 目录
-                    dirs[:] = [d for d in dirs if d != "__pycache__"]
-
-                    for file in files:
-                        # 跳过 .pyc 文件
-                        if file.endswith(".pyc"):
-                            continue
-
-                        file_path = Path(root) / file
-                        try:
-                            # 计算相对路径
-                            rel_path = file_path.relative_to(full_path)
-                            archive_path = f"directories/{dir_name}/{rel_path}"
-                            zf.write(str(file_path), archive_path)
-                            file_count += 1
-                            total_size += file_path.stat().st_size
-                        except Exception as e:
-                            logger.warning(f"导出文件 {file_path} 失败: {e}")
-
-                stats[dir_name] = {"files": file_count, "size": total_size}
-                logger.debug(
-                    f"导出目录 {dir_name}: {file_count} 个文件, {total_size} 字节"
-                )
-            except Exception as e:
-                logger.warning(f"导出目录 {dir_path} 失败: {e}")
-                stats[dir_name] = {"files": 0, "size": 0}
-
-        return stats
-
-    async def _export_attachments(
-        self, zf: zipfile.ZipFile, attachments: list[dict]
-    ) -> None:
-        """导出附件文件"""
-        for attachment in attachments:
-            try:
-                file_path = attachment.get("path", "")
-                if file_path and os.path.exists(file_path):
-                    # 使用 attachment_id 作为文件名
-                    attachment_id = attachment.get("attachment_id", "")
-                    ext = os.path.splitext(file_path)[1]
-                    archive_path = f"files/attachments/{attachment_id}{ext}"
-                    zf.write(file_path, archive_path)
-            except Exception as e:
-                logger.warning(f"导出附件失败: {e}")
-
-    def _model_to_dict(self, record: Any) -> dict:
-        """将 SQLModel 实例转换为字典
-
-        这是数据库无关的序列化方式，支持未来迁移到其他数据库。
-        """
-        # 使用 SQLModel 内置的 model_dump 方法（如果可用）
-        if hasattr(record, "model_dump"):
-            data = record.model_dump(mode="python")
-            # 处理 datetime 类型
-            for key, value in data.items():
-                if isinstance(value, datetime):
-                    data[key] = value.isoformat()
-            return data
-
-        # 回退到手动提取
-        data = {}
-        # 使用 inspect 获取表信息
-        from sqlalchemy import inspect as sa_inspect
-
-        mapper = sa_inspect(record.__class__)
-        for column in mapper.columns:
-            value = getattr(record, column.name)
-            # 处理 datetime 类型 - 统一转为 ISO 格式字符串
-            if isinstance(value, datetime):
-                value = value.isoformat()
-            data[column.name] = value
-        return data
-
-    def _add_checksum(self, path: str, content: str | bytes) -> None:
-        """计算并添加文件校验和"""
-        if isinstance(content, str):
-            content = content.encode("utf-8")
-        checksum = hashlib.sha256(content).hexdigest()
-        self._checksums[path] = f"sha256:{checksum}"
-
-    def _generate_manifest(
-        self,
-        main_data: dict[str, list[dict]],
-        kb_meta_data: dict[str, list[dict]],
-        dir_stats: dict[str, dict[str, int]] | None = None,
-    ) -> dict:
-        """生成备份清单"""
-        if dir_stats is None:
-            dir_stats = {}
-        # 收集知识库 ID
-        kb_document_tables = {}
-        if self.kb_manager:
-            for kb_id in self.kb_manager.kb_insts.keys():
-                kb_document_tables[kb_id] = "documents"
-
-        # 收集附件文件列表
-        attachment_files = []
-        for attachment in main_data.get("attachments", []):
-            attachment_id = attachment.get("attachment_id", "")
-            path = attachment.get("path", "")
-            if attachment_id and path:
-                ext = os.path.splitext(path)[1]
-                attachment_files.append(f"{attachment_id}{ext}")
-
-        # 收集知识库媒体文件
-        kb_media_files: dict[str, list[str]] = {}
-        if self.kb_manager:
-            for kb_id, kb_helper in self.kb_manager.kb_insts.items():
-                media_files: list[str] = []
-                media_dir = kb_helper.kb_medias_dir
-                if media_dir.exists():
-                    for root, _, files in os.walk(media_dir):
-                        for file in files:
-                            media_files.append(file)
-                if media_files:
-                    kb_media_files[kb_id] = media_files
-
-        manifest = {
-            "version": BACKUP_MANIFEST_VERSION,
-            "astrbot_version": VERSION,
-            "exported_at": datetime.now(timezone.utc).isoformat(),
-            "schema_version": {
-                "main_db": "v4",
-                "kb_db": "v1",
-            },
-            "tables": {
-                "main_db": list(main_data.keys()),
-                "kb_metadata": list(kb_meta_data.keys()),
-                "kb_documents": kb_document_tables,
-            },
-            "files": {
-                "attachments": attachment_files,
-                "kb_media": kb_media_files,
-            },
-            "directories": list(dir_stats.keys()),
-            "checksums": self._checksums,
-            "statistics": {
-                "main_db": {
-                    table: len(records) for table, records in main_data.items()
-                },
-                "kb_metadata": {
-                    table: len(records) for table, records in kb_meta_data.items()
-                },
-                "directories": dir_stats,
-            },
-        }
-
-        return manifest

astrbot/core/backup/importer.py

@@ -1,761 +0,0 @@
-"""AstrBot 数据导入器
-
-负责从 ZIP 备份文件恢复所有数据。
-导入时进行版本校验：
-- 主版本（前两位）不同时直接拒绝导入
-- 小版本（第三位）不同时提示警告，用户可选择强制导入
-- 版本匹配时也需要用户确认
-"""
-
-import json
-import os
-import shutil
-import zipfile
-from dataclasses import dataclass, field
-from datetime import datetime
-from pathlib import Path
-from typing import TYPE_CHECKING, Any
-
-from sqlalchemy import delete
-
-from astrbot.core import logger
-from astrbot.core.config.default import VERSION
-from astrbot.core.db import BaseDatabase
-from astrbot.core.utils.astrbot_path import (
-    get_astrbot_data_path,
-    get_astrbot_knowledge_base_path,
-)
-from astrbot.core.utils.version_comparator import VersionComparator
-
-# 从共享常量模块导入
-from .constants import (
-    KB_METADATA_MODELS,
-    MAIN_DB_MODELS,
-    get_backup_directories,
-)
-
-if TYPE_CHECKING:
-    from astrbot.core.knowledge_base.kb_mgr import KnowledgeBaseManager
-
-
-def _get_major_version(version_str: str) -> str:
-    """提取版本的主版本部分（前两位）
-
-    Args:
-        version_str: 版本字符串，如 "4.9.1", "4.10.0-beta"
-
-    Returns:
-        主版本字符串，如 "4.9", "4.10"
-    """
-    if not version_str:
-        return "0.0"
-    # 移除 v 前缀和预发布标签
-    version = version_str.lower().replace("v", "").split("-")[0].split("+")[0]
-    parts = [p for p in version.split(".") if p]  # 过滤空字符串
-    if len(parts) >= 2:
-        return f"{parts[0]}.{parts[1]}"
-    elif len(parts) == 1 and parts[0]:
-        return f"{parts[0]}.0"
-    return "0.0"
-
-
-CMD_CONFIG_FILE_PATH = os.path.join(get_astrbot_data_path(), "cmd_config.json")
-KB_PATH = get_astrbot_knowledge_base_path()
-
-
-@dataclass
-class ImportPreCheckResult:
-    """导入预检查结果
-
-    用于在实际导入前检查备份文件的版本兼容性，
-    并返回确认信息让用户决定是否继续导入。
-    """
-
-    # 检查是否通过（文件有效且版本可导入）
-    valid: bool = False
-    # 是否可以导入（版本兼容）
-    can_import: bool = False
-    # 版本状态: match（完全匹配）, minor_diff（小版本差异）, major_diff（主版本不同，拒绝）
-    version_status: str = ""
-    # 备份文件中的 AstrBot 版本
-    backup_version: str = ""
-    # 当前运行的 AstrBot 版本
-    current_version: str = VERSION
-    # 备份创建时间
-    backup_time: str = ""
-    # 确认消息（显示给用户）
-    confirm_message: str = ""
-    # 警告消息列表
-    warnings: list[str] = field(default_factory=list)
-    # 错误消息（如果检查失败）
-    error: str = ""
-    # 备份包含的内容摘要
-    backup_summary: dict = field(default_factory=dict)
-
-    def to_dict(self) -> dict:
-        return {
-            "valid": self.valid,
-            "can_import": self.can_import,
-            "version_status": self.version_status,
-            "backup_version": self.backup_version,
-            "current_version": self.current_version,
-            "backup_time": self.backup_time,
-            "confirm_message": self.confirm_message,
-            "warnings": self.warnings,
-            "error": self.error,
-            "backup_summary": self.backup_summary,
-        }
-
-
-class ImportResult:
-    """导入结果"""
-
-    def __init__(self):
-        self.success = True
-        self.imported_tables: dict[str, int] = {}
-        self.imported_files: dict[str, int] = {}
-        self.imported_directories: dict[str, int] = {}
-        self.warnings: list[str] = []
-        self.errors: list[str] = []
-
-    def add_warning(self, msg: str) -> None:
-        self.warnings.append(msg)
-        logger.warning(msg)
-
-    def add_error(self, msg: str) -> None:
-        self.errors.append(msg)
-        self.success = False
-        logger.error(msg)
-
-    def to_dict(self) -> dict:
-        return {
-            "success": self.success,
-            "imported_tables": self.imported_tables,
-            "imported_files": self.imported_files,
-            "imported_directories": self.imported_directories,
-            "warnings": self.warnings,
-            "errors": self.errors,
-        }
-
-
-class AstrBotImporter:
-    """AstrBot 数据导入器
-
-    导入备份文件中的所有数据，包括：
-    - 主数据库所有表
-    - 知识库元数据和文档
-    - 配置文件
-    - 附件文件
-    - 知识库多媒体文件
-    - 插件目录（data/plugins）
-    - 插件数据目录（data/plugin_data）
-    - 配置目录（data/config）
-    - T2I 模板目录（data/t2i_templates）
-    - WebChat 数据目录（data/webchat）
-    - 临时文件目录（data/temp）
-    """
-
-    def __init__(
-        self,
-        main_db: BaseDatabase,
-        kb_manager: "KnowledgeBaseManager | None" = None,
-        config_path: str = CMD_CONFIG_FILE_PATH,
-        kb_root_dir: str = KB_PATH,
-    ):
-        self.main_db = main_db
-        self.kb_manager = kb_manager
-        self.config_path = config_path
-        self.kb_root_dir = kb_root_dir
-
-    def pre_check(self, zip_path: str) -> ImportPreCheckResult:
-        """预检查备份文件
-
-        在实际导入前检查备份文件的有效性和版本兼容性。
-        返回检查结果供前端显示确认对话框。
-
-        Args:
-            zip_path: ZIP 备份文件路径
-
-        Returns:
-            ImportPreCheckResult: 预检查结果
-        """
-        result = ImportPreCheckResult()
-        result.current_version = VERSION
-
-        if not os.path.exists(zip_path):
-            result.error = f"备份文件不存在: {zip_path}"
-            return result
-
-        try:
-            with zipfile.ZipFile(zip_path, "r") as zf:
-                # 读取 manifest
-                try:
-                    manifest_data = zf.read("manifest.json")
-                    manifest = json.loads(manifest_data)
-                except KeyError:
-                    result.error = "备份文件缺少 manifest.json，不是有效的 AstrBot 备份"
-                    return result
-                except json.JSONDecodeError as e:
-                    result.error = f"manifest.json 格式错误: {e}"
-                    return result
-
-                # 提取基本信息
-                result.backup_version = manifest.get("astrbot_version", "未知")
-                result.backup_time = manifest.get("exported_at", "未知")
-                result.valid = True
-
-                # 构建备份摘要
-                result.backup_summary = {
-                    "tables": list(manifest.get("tables", {}).keys()),
-                    "has_knowledge_bases": manifest.get("has_knowledge_bases", False),
-                    "has_config": manifest.get("has_config", False),
-                    "directories": manifest.get("directories", []),
-                }
-
-                # 检查版本兼容性
-                version_check = self._check_version_compatibility(result.backup_version)
-                result.version_status = version_check["status"]
-                result.can_import = version_check["can_import"]
-
-                # 版本信息由前端根据 version_status 和 i18n 生成显示
-                # 不再将版本消息添加到 warnings 列表中，避免中文硬编码
-                # warnings 列表保留用于其他非版本相关的警告
-
-                return result
-
-        except zipfile.BadZipFile:
-            result.error = "无效的 ZIP 文件"
-            return result
-        except Exception as e:
-            result.error = f"检查备份文件失败: {e}"
-            return result
-
-    def _check_version_compatibility(self, backup_version: str) -> dict:
-        """检查版本兼容性
-
-        规则：
-        - 主版本（前两位，如 4.9）必须一致，否则拒绝
-        - 小版本（第三位，如 4.9.1 vs 4.9.2）不同时，警告但允许导入
-
-        Returns:
-            dict: {status, can_import, message}
-        """
-        if not backup_version:
-            return {
-                "status": "major_diff",
-                "can_import": False,
-                "message": "备份文件缺少版本信息",
-            }
-
-        # 提取主版本（前两位）进行比较
-        backup_major = _get_major_version(backup_version)
-        current_major = _get_major_version(VERSION)
-
-        # 比较主版本
-        if VersionComparator.compare_version(backup_major, current_major) != 0:
-            return {
-                "status": "major_diff",
-                "can_import": False,
-                "message": (
-                    f"主版本不兼容: 备份版本 {backup_version}, 当前版本 {VERSION}。"
-                    f"跨主版本导入可能导致数据损坏，请使用相同主版本的 AstrBot。"
-                ),
-            }
-
-        # 比较完整版本
-        version_cmp = VersionComparator.compare_version(backup_version, VERSION)
-        if version_cmp != 0:
-            return {
-                "status": "minor_diff",
-                "can_import": True,
-                "message": (
-                    f"小版本差异: 备份版本 {backup_version}, 当前版本 {VERSION}。"
-                ),
-            }
-
-        return {
-            "status": "match",
-            "can_import": True,
-            "message": "版本匹配",
-        }
-
-    async def import_all(
-        self,
-        zip_path: str,
-        mode: str = "replace",  # "replace" 清空后导入
-        progress_callback: Any | None = None,
-    ) -> ImportResult:
-        """从 ZIP 文件导入所有数据
-
-        Args:
-            zip_path: ZIP 备份文件路径
-            mode: 导入模式，目前仅支持 "replace"（清空后导入）
-            progress_callback: 进度回调函数，接收参数 (stage, current, total, message)
-
-        Returns:
-            ImportResult: 导入结果
-        """
-        result = ImportResult()
-
-        if not os.path.exists(zip_path):
-            result.add_error(f"备份文件不存在: {zip_path}")
-            return result
-
-        logger.info(f"开始从 {zip_path} 导入备份")
-
-        try:
-            with zipfile.ZipFile(zip_path, "r") as zf:
-                # 1. 读取并验证 manifest
-                if progress_callback:
-                    await progress_callback("validate", 0, 100, "正在验证备份文件...")
-
-                try:
-                    manifest_data = zf.read("manifest.json")
-                    manifest = json.loads(manifest_data)
-                except KeyError:
-                    result.add_error("备份文件缺少 manifest.json")
-                    return result
-                except json.JSONDecodeError as e:
-                    result.add_error(f"manifest.json 格式错误: {e}")
-                    return result
-
-                # 版本校验
-                try:
-                    self._validate_version(manifest)
-                except ValueError as e:
-                    result.add_error(str(e))
-                    return result
-
-                if progress_callback:
-                    await progress_callback("validate", 100, 100, "验证完成")
-
-                # 2. 导入主数据库
-                if progress_callback:
-                    await progress_callback("main_db", 0, 100, "正在导入主数据库...")
-
-                try:
-                    main_data_content = zf.read("databases/main_db.json")
-                    main_data = json.loads(main_data_content)
-
-                    if mode == "replace":
-                        await self._clear_main_db()
-
-                    imported = await self._import_main_database(main_data)
-                    result.imported_tables.update(imported)
-                except Exception as e:
-                    result.add_error(f"导入主数据库失败: {e}")
-                    return result
-
-                if progress_callback:
-                    await progress_callback("main_db", 100, 100, "主数据库导入完成")
-
-                # 3. 导入知识库
-                if self.kb_manager and "databases/kb_metadata.json" in zf.namelist():
-                    if progress_callback:
-                        await progress_callback("kb", 0, 100, "正在导入知识库...")
-
-                    try:
-                        kb_meta_content = zf.read("databases/kb_metadata.json")
-                        kb_meta_data = json.loads(kb_meta_content)
-
-                        if mode == "replace":
-                            await self._clear_kb_data()
-
-                        await self._import_knowledge_bases(zf, kb_meta_data, result)
-                    except Exception as e:
-                        result.add_warning(f"导入知识库失败: {e}")
-
-                    if progress_callback:
-                        await progress_callback("kb", 100, 100, "知识库导入完成")
-
-                # 4. 导入配置文件
-                if progress_callback:
-                    await progress_callback("config", 0, 100, "正在导入配置文件...")
-
-                if "config/cmd_config.json" in zf.namelist():
-                    try:
-                        config_content = zf.read("config/cmd_config.json")
-                        # 备份现有配置
-                        if os.path.exists(self.config_path):
-                            backup_path = f"{self.config_path}.bak"
-                            shutil.copy2(self.config_path, backup_path)
-
-                        with open(self.config_path, "wb") as f:
-                            f.write(config_content)
-                        result.imported_files["config"] = 1
-                    except Exception as e:
-                        result.add_warning(f"导入配置文件失败: {e}")
-
-                if progress_callback:
-                    await progress_callback("config", 100, 100, "配置文件导入完成")
-
-                # 5. 导入附件文件
-                if progress_callback:
-                    await progress_callback("attachments", 0, 100, "正在导入附件...")
-
-                attachment_count = await self._import_attachments(
-                    zf, main_data.get("attachments", [])
-                )
-                result.imported_files["attachments"] = attachment_count
-
-                if progress_callback:
-                    await progress_callback("attachments", 100, 100, "附件导入完成")
-
-                # 6. 导入插件和其他目录
-                if progress_callback:
-                    await progress_callback(
-                        "directories", 0, 100, "正在导入插件和数据目录..."
-                    )
-
-                dir_stats = await self._import_directories(zf, manifest, result)
-                result.imported_directories = dir_stats
-
-                if progress_callback:
-                    await progress_callback("directories", 100, 100, "目录导入完成")
-
-            logger.info(f"备份导入完成: {result.to_dict()}")
-            return result
-
-        except zipfile.BadZipFile:
-            result.add_error("无效的 ZIP 文件")
-            return result
-        except Exception as e:
-            result.add_error(f"导入失败: {e}")
-            return result
-
-    def _validate_version(self, manifest: dict) -> None:
-        """验证版本兼容性 - 仅允许相同主版本导入
-
-        注意：此方法仅在 import_all 中调用，用于双重校验。
-        前端应先调用 pre_check 获取详细的版本信息并让用户确认。
-        """
-        backup_version = manifest.get("astrbot_version")
-        if not backup_version:
-            raise ValueError("备份文件缺少版本信息")
-
-        # 使用新的版本兼容性检查
-        version_check = self._check_version_compatibility(backup_version)
-
-        if version_check["status"] == "major_diff":
-            raise ValueError(version_check["message"])
-
-        # minor_diff 和 match 都允许导入
-        if version_check["status"] == "minor_diff":
-            logger.warning(f"版本差异警告: {version_check['message']}")
-
-    async def _clear_main_db(self) -> None:
-        """清空主数据库所有表"""
-        async with self.main_db.get_db() as session:
-            async with session.begin():
-                for table_name, model_class in MAIN_DB_MODELS.items():
-                    try:
-                        await session.execute(delete(model_class))
-                        logger.debug(f"已清空表 {table_name}")
-                    except Exception as e:
-                        logger.warning(f"清空表 {table_name} 失败: {e}")
-
-    async def _clear_kb_data(self) -> None:
-        """清空知识库数据"""
-        if not self.kb_manager:
-            return
-
-        # 清空知识库元数据表
-        async with self.kb_manager.kb_db.get_db() as session:
-            async with session.begin():
-                for table_name, model_class in KB_METADATA_MODELS.items():
-                    try:
-                        await session.execute(delete(model_class))
-                        logger.debug(f"已清空知识库表 {table_name}")
-                    except Exception as e:
-                        logger.warning(f"清空知识库表 {table_name} 失败: {e}")
-
-        # 删除知识库文件目录
-        for kb_id in list(self.kb_manager.kb_insts.keys()):
-            try:
-                kb_helper = self.kb_manager.kb_insts[kb_id]
-                await kb_helper.terminate()
-                if kb_helper.kb_dir.exists():
-                    shutil.rmtree(kb_helper.kb_dir)
-            except Exception as e:
-                logger.warning(f"清理知识库 {kb_id} 失败: {e}")
-
-        self.kb_manager.kb_insts.clear()
-
-    async def _import_main_database(
-        self, data: dict[str, list[dict]]
-    ) -> dict[str, int]:
-        """导入主数据库数据"""
-        imported: dict[str, int] = {}
-
-        async with self.main_db.get_db() as session:
-            async with session.begin():
-                for table_name, rows in data.items():
-                    model_class = MAIN_DB_MODELS.get(table_name)
-                    if not model_class:
-                        logger.warning(f"未知的表: {table_name}")
-                        continue
-
-                    count = 0
-                    for row in rows:
-                        try:
-                            # 转换 datetime 字符串为 datetime 对象
-                            row = self._convert_datetime_fields(row, model_class)
-                            obj = model_class(**row)
-                            session.add(obj)
-                            count += 1
-                        except Exception as e:
-                            logger.warning(f"导入记录到 {table_name} 失败: {e}")
-
-                    imported[table_name] = count
-                    logger.debug(f"导入表 {table_name}: {count} 条记录")
-
-        return imported
-
-    async def _import_knowledge_bases(
-        self,
-        zf: zipfile.ZipFile,
-        kb_meta_data: dict[str, list[dict]],
-        result: ImportResult,
-    ) -> None:
-        """导入知识库数据"""
-        if not self.kb_manager:
-            return
-
-        # 1. 导入知识库元数据
-        async with self.kb_manager.kb_db.get_db() as session:
-            async with session.begin():
-                for table_name, rows in kb_meta_data.items():
-                    model_class = KB_METADATA_MODELS.get(table_name)
-                    if not model_class:
-                        continue
-
-                    count = 0
-                    for row in rows:
-                        try:
-                            row = self._convert_datetime_fields(row, model_class)
-                            obj = model_class(**row)
-                            session.add(obj)
-                            count += 1
-                        except Exception as e:
-                            logger.warning(f"导入知识库记录到 {table_name} 失败: {e}")
-
-                    result.imported_tables[f"kb_{table_name}"] = count
-
-        # 2. 导入每个知识库的文档和文件
-        for kb_data in kb_meta_data.get("knowledge_bases", []):
-            kb_id = kb_data.get("kb_id")
-            if not kb_id:
-                continue
-
-            # 创建知识库目录
-            kb_dir = Path(self.kb_root_dir) / kb_id
-            kb_dir.mkdir(parents=True, exist_ok=True)
-
-            # 导入文档数据
-            doc_path = f"databases/kb_{kb_id}/documents.json"
-            if doc_path in zf.namelist():
-                try:
-                    doc_content = zf.read(doc_path)
-                    doc_data = json.loads(doc_content)
-
-                    # 导入到文档存储数据库
-                    await self._import_kb_documents(kb_id, doc_data)
-                except Exception as e:
-                    result.add_warning(f"导入知识库 {kb_id} 的文档失败: {e}")
-
-            # 导入 FAISS 索引
-            faiss_path = f"databases/kb_{kb_id}/index.faiss"
-            if faiss_path in zf.namelist():
-                try:
-                    target_path = kb_dir / "index.faiss"
-                    with zf.open(faiss_path) as src, open(target_path, "wb") as dst:
-                        dst.write(src.read())
-                except Exception as e:
-                    result.add_warning(f"导入知识库 {kb_id} 的 FAISS 索引失败: {e}")
-
-            # 导入媒体文件
-            media_prefix = f"files/kb_media/{kb_id}/"
-            for name in zf.namelist():
-                if name.startswith(media_prefix):
-                    try:
-                        rel_path = name[len(media_prefix) :]
-                        target_path = kb_dir / rel_path
-                        target_path.parent.mkdir(parents=True, exist_ok=True)
-                        with zf.open(name) as src, open(target_path, "wb") as dst:
-                            dst.write(src.read())
-                    except Exception as e:
-                        result.add_warning(f"导入媒体文件 {name} 失败: {e}")
-
-        # 3. 重新加载知识库实例
-        await self.kb_manager.load_kbs()
-
-    async def _import_kb_documents(self, kb_id: str, doc_data: dict) -> None:
-        """导入知识库文档到向量数据库"""
-        from astrbot.core.db.vec_db.faiss_impl.document_storage import DocumentStorage
-
-        kb_dir = Path(self.kb_root_dir) / kb_id
-        doc_db_path = kb_dir / "doc.db"
-
-        # 初始化文档存储
-        doc_storage = DocumentStorage(str(doc_db_path))
-        await doc_storage.initialize()
-
-        try:
-            documents = doc_data.get("documents", [])
-            for doc in documents:
-                try:
-                    await doc_storage.insert_document(
-                        doc_id=doc.get("doc_id", ""),
-                        text=doc.get("text", ""),
-                        metadata=json.loads(doc.get("metadata", "{}")),
-                    )
-                except Exception as e:
-                    logger.warning(f"导入文档块失败: {e}")
-        finally:
-            await doc_storage.close()
-
-    async def _import_attachments(
-        self,
-        zf: zipfile.ZipFile,
-        attachments: list[dict],
-    ) -> int:
-        """导入附件文件"""
-        count = 0
-
-        attachments_dir = Path(self.config_path).parent / "attachments"
-        attachments_dir.mkdir(parents=True, exist_ok=True)
-
-        attachment_prefix = "files/attachments/"
-        for name in zf.namelist():
-            if name.startswith(attachment_prefix) and name != attachment_prefix:
-                try:
-                    # 从附件记录中找到原始路径
-                    attachment_id = os.path.splitext(os.path.basename(name))[0]
-                    original_path = None
-                    for att in attachments:
-                        if att.get("attachment_id") == attachment_id:
-                            original_path = att.get("path")
-                            break
-
-                    if original_path:
-                        target_path = Path(original_path)
-                    else:
-                        target_path = attachments_dir / os.path.basename(name)
-
-                    target_path.parent.mkdir(parents=True, exist_ok=True)
-                    with zf.open(name) as src, open(target_path, "wb") as dst:
-                        dst.write(src.read())
-                    count += 1
-                except Exception as e:
-                    logger.warning(f"导入附件 {name} 失败: {e}")
-
-        return count
-
-    async def _import_directories(
-        self,
-        zf: zipfile.ZipFile,
-        manifest: dict,
-        result: ImportResult,
-    ) -> dict[str, int]:
-        """导入插件和其他数据目录
-
-        Args:
-            zf: ZIP 文件对象
-            manifest: 备份清单
-            result: 导入结果对象
-
-        Returns:
-            dict: 每个目录导入的文件数量
-        """
-        dir_stats: dict[str, int] = {}
-
-        # 检查备份版本是否支持目录备份（需要版本 >= 1.1）
-        backup_version = manifest.get("version", "1.0")
-        if VersionComparator.compare_version(backup_version, "1.1") < 0:
-            logger.info("备份版本不支持目录备份，跳过目录导入")
-            return dir_stats
-
-        backed_up_dirs = manifest.get("directories", [])
-        backup_directories = get_backup_directories()
-
-        for dir_name in backed_up_dirs:
-            if dir_name not in backup_directories:
-                result.add_warning(f"未知的目录类型: {dir_name}")
-                continue
-
-            target_dir = Path(backup_directories[dir_name])
-            archive_prefix = f"directories/{dir_name}/"
-
-            file_count = 0
-
-            try:
-                # 获取该目录下的所有文件
-                dir_files = [
-                    name
-                    for name in zf.namelist()
-                    if name.startswith(archive_prefix) and name != archive_prefix
-                ]
-
-                if not dir_files:
-                    continue
-
-                # 备份现有目录（如果存在）
-                if target_dir.exists():
-                    backup_path = Path(f"{target_dir}.bak")
-                    if backup_path.exists():
-                        shutil.rmtree(backup_path)
-                    shutil.move(str(target_dir), str(backup_path))
-                    logger.debug(f"已备份现有目录 {target_dir} 到 {backup_path}")
-
-                # 创建目标目录
-                target_dir.mkdir(parents=True, exist_ok=True)
-
-                # 解压文件
-                for name in dir_files:
-                    try:
-                        # 计算相对路径
-                        rel_path = name[len(archive_prefix) :]
-                        if not rel_path:  # 跳过目录条目
-                            continue
-
-                        target_path = target_dir / rel_path
-                        target_path.parent.mkdir(parents=True, exist_ok=True)
-
-                        with zf.open(name) as src, open(target_path, "wb") as dst:
-                            dst.write(src.read())
-                        file_count += 1
-                    except Exception as e:
-                        result.add_warning(f"导入文件 {name} 失败: {e}")
-
-                dir_stats[dir_name] = file_count
-                logger.debug(f"导入目录 {dir_name}: {file_count} 个文件")
-
-            except Exception as e:
-                result.add_warning(f"导入目录 {dir_name} 失败: {e}")
-                dir_stats[dir_name] = 0
-
-        return dir_stats
-
-    def _convert_datetime_fields(self, row: dict, model_class: type) -> dict:
-        """转换 datetime 字符串字段为 datetime 对象"""
-        result = row.copy()
-
-        # 获取模型的 datetime 字段
-        from sqlalchemy import inspect as sa_inspect
-
-        try:
-            mapper = sa_inspect(model_class)
-            for column in mapper.columns:
-                if column.name in result and result[column.name] is not None:
-                    # 检查是否是 datetime 类型的列
-                    from sqlalchemy import DateTime
-
-                    if isinstance(column.type, DateTime):
-                        value = result[column.name]
-                        if isinstance(value, str):
-                            # 解析 ISO 格式的日期时间字符串
-                            result[column.name] = datetime.fromisoformat(value)
-        except Exception:
-            pass
-
-        return result

astrbot/core/config/__init__.py

@@ -1,9 +1,9 @@
+from .default import DEFAULT_CONFIG, VERSION, DB_PATH
 from .astrbot_config import *
-from .default import DB_PATH, DEFAULT_CONFIG, VERSION
 
 __all__ = [
-    "DB_PATH",
     "DEFAULT_CONFIG",
     "VERSION",
+    "DB_PATH",
     "AstrBotConfig",
 ]

astrbot/core/config/astrbot_config.py

@@ -1,11 +1,10 @@
-import enum
+import os
 import json
 import logging
-import os
-
-from astrbot.core.utils.astrbot_path import get_astrbot_data_path
-
+import enum
 from .default import DEFAULT_CONFIG, DEFAULT_VALUE_MAP
+from typing import Dict
+from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
 ASTRBOT_CONFIG_PATH = os.path.join(get_astrbot_data_path(), "cmd_config.json")
 logger = logging.getLogger("astrbot")
@@ -24,15 +23,11 @@ class AstrBotConfig(dict):
     - 如果传入了 schema，将会通过 schema 解析出 default_config，此时传入的 default_config 会被忽略。
     """
 
-    config_path: str
-    default_config: dict
-    schema: dict | None
-
     def __init__(
         self,
         config_path: str = ASTRBOT_CONFIG_PATH,
         default_config: dict = DEFAULT_CONFIG,
-        schema: dict | None = None,
+        schema: dict = None,
     ):
         super().__init__()
 
@@ -50,7 +45,7 @@ class AstrBotConfig(dict):
                 json.dump(default_config, f, indent=4, ensure_ascii=False)
                 object.__setattr__(self, "first_deploy", True)  # 标记第一次部署
 
-        with open(config_path, encoding="utf-8-sig") as f:
+        with open(config_path, "r", encoding="utf-8-sig") as f:
             conf_str = f.read()
             conf = json.loads(conf_str)
 
@@ -70,7 +65,7 @@ class AstrBotConfig(dict):
             for k, v in schema.items():
                 if v["type"] not in DEFAULT_VALUE_MAP:
                     raise TypeError(
-                        f"不受支持的配置类型 {v['type']}。支持的类型有：{DEFAULT_VALUE_MAP.keys()}",
+                        f"不受支持的配置类型 {v['type']}。支持的类型有：{DEFAULT_VALUE_MAP.keys()}"
                     )
                 if "default" in v:
                     default = v["default"]
@@ -87,7 +82,7 @@ class AstrBotConfig(dict):
 
         return conf
 
-    def check_config_integrity(self, refer_conf: dict, conf: dict, path=""):
+    def check_config_integrity(self, refer_conf: Dict, conf: Dict, path=""):
         """检查配置完整性，如果有新的配置项或顺序不一致则返回 True"""
         has_new = False
 
@@ -102,28 +97,27 @@ class AstrBotConfig(dict):
                 logger.info(f"检查到配置项 {path_} 不存在，已插入默认值 {value}")
                 new_conf[key] = value
                 has_new = True
-            elif conf[key] is None:
-                # 配置项为 None，使用默认值
-                new_conf[key] = value
-                has_new = True
-            elif isinstance(value, dict):
-                # 递归检查子配置项
-                if not isinstance(conf[key], dict):
-                    # 类型不匹配，使用默认值
+            else:
+                if conf[key] is None:
+                    # 配置项为 None，使用默认值
                     new_conf[key] = value
                     has_new = True
+                elif isinstance(value, dict):
+                    # 递归检查子配置项
+                    if not isinstance(conf[key], dict):
+                        # 类型不匹配，使用默认值
+                        new_conf[key] = value
+                        has_new = True
+                    else:
+                        # 递归检查并同步顺序
+                        child_has_new = self.check_config_integrity(
+                            value, conf[key], path + "." + key if path else key
+                        )
+                        new_conf[key] = conf[key]
+                        has_new |= child_has_new
                 else:
-                    # 递归检查并同步顺序
-                    child_has_new = self.check_config_integrity(
-                        value,
-                        conf[key],
-                        path + "." + key if path else key,
-                    )
+                    # 直接使用现有配置
                     new_conf[key] = conf[key]
-                    has_new |= child_has_new
-            else:
-                # 直接使用现有配置
-                new_conf[key] = conf[key]
 
         # 检查是否存在参考配置中没有的配置项
         for key in list(conf.keys()):
@@ -146,7 +140,7 @@ class AstrBotConfig(dict):
 
         return has_new
 
-    def save_config(self, replace_config: dict | None = None):
+    def save_config(self, replace_config: Dict = None):
         """将配置写入文件
 
         如果传入 replace_config，则将配置替换为 replace_config

astrbot/core/config/i18n_utils.py

@@ -1,111 +0,0 @@
-"""
-配置元数据国际化工具
-
-提供配置元数据的国际化键转换功能
-"""
-
-from typing import Any
-
-
-class ConfigMetadataI18n:
-    """配置元数据国际化转换器"""
-
-    @staticmethod
-    def _get_i18n_key(group: str, section: str, field: str, attr: str) -> str:
-        """
-        生成国际化键
-
-        Args:
-            group: 配置组，如 'ai_group', 'platform_group'
-            section: 配置节，如 'agent_runner', 'general'
-            field: 字段名，如 'enable', 'default_provider'
-            attr: 属性类型，如 'description', 'hint', 'labels'
-
-        Returns:
-            国际化键，格式如: 'ai_group.agent_runner.enable.description'
-        """
-        if field:
-            return f"{group}.{section}.{field}.{attr}"
-        else:
-            return f"{group}.{section}.{attr}"
-
-    @staticmethod
-    def convert_to_i18n_keys(metadata: dict[str, Any]) -> dict[str, Any]:
-        """
-        将配置元数据转换为使用国际化键
-
-        Args:
-            metadata: 原始配置元数据字典
-
-        Returns:
-            使用国际化键的配置元数据字典
-        """
-        result = {}
-
-        for group_key, group_data in metadata.items():
-            group_result = {
-                "name": f"{group_key}.name",
-                "metadata": {},
-            }
-
-            for section_key, section_data in group_data.get("metadata", {}).items():
-                section_result = {
-                    "description": f"{group_key}.{section_key}.description",
-                    "type": section_data.get("type"),
-                }
-
-                # 复制其他属性
-                for key in ["items", "condition", "_special", "invisible"]:
-                    if key in section_data:
-                        section_result[key] = section_data[key]
-
-                # 处理 hint
-                if "hint" in section_data:
-                    section_result["hint"] = f"{group_key}.{section_key}.hint"
-
-                # 处理 items 中的字段
-                if "items" in section_data and isinstance(section_data["items"], dict):
-                    items_result = {}
-                    for field_key, field_data in section_data["items"].items():
-                        # 处理嵌套的点号字段名（如 provider_settings.enable）
-                        field_name = field_key
-
-                        field_result = {}
-
-                        # 复制基本属性
-                        for attr in [
-                            "type",
-                            "condition",
-                            "_special",
-                            "invisible",
-                            "options",
-                            "slider",
-                        ]:
-                            if attr in field_data:
-                                field_result[attr] = field_data[attr]
-
-                        # 转换文本属性为国际化键
-                        if "description" in field_data:
-                            field_result["description"] = (
-                                f"{group_key}.{section_key}.{field_name}.description"
-                            )
-
-                        if "hint" in field_data:
-                            field_result["hint"] = (
-                                f"{group_key}.{section_key}.{field_name}.hint"
-                            )
-
-                        if "labels" in field_data:
-                            field_result["labels"] = (
-                                f"{group_key}.{section_key}.{field_name}.labels"
-                            )
-
-                        items_result[field_key] = field_result
-
-                    section_result["items"] = items_result
-
-                group_result["metadata"][section_key] = section_result
-
-            result[group_key] = group_result
-
-        return result

astrbot/core/conversation_mgr.py

@@ -1,14 +1,13 @@
-"""AstrBot 会话-对话管理器, 维护两个本地存储, 其中一个是 json 格式的shared_preferences, 另外一个是数据库.
+"""
+AstrBot 会话-对话管理器, 维护两个本地存储, 其中一个是 json 格式的shared_preferences, 另外一个是数据库
 
 在 AstrBot 中, 会话和对话是独立的, 会话用于标记对话窗口, 例如群聊"123456789"可以建立一个会话,
 在一个会话中可以建立多个对话, 并且支持对话的切换和删除
 """
 
 import json
-from collections.abc import Awaitable, Callable
-
 from astrbot.core import sp
-from astrbot.core.agent.message import AssistantMessageSegment, UserMessageSegment
+from typing import Dict, List
 from astrbot.core.db import BaseDatabase
 from astrbot.core.db.po import Conversation, ConversationV2
 
@@ -17,45 +16,10 @@ class ConversationManager:
     """负责管理会话与 LLM 的对话，某个会话当前正在用哪个对话。"""
 
     def __init__(self, db_helper: BaseDatabase):
-        self.session_conversations: dict[str, str] = {}
+        self.session_conversations: Dict[str, str] = {}
         self.db = db_helper
         self.save_interval = 60  # 每 60 秒保存一次
 
-        # 会话删除回调函数列表（用于级联清理，如知识库配置）
-        self._on_session_deleted_callbacks: list[Callable[[str], Awaitable[None]]] = []
-
-    def register_on_session_deleted(
-        self,
-        callback: Callable[[str], Awaitable[None]],
-    ) -> None:
-        """注册会话删除回调函数.
-
-        其他模块可以注册回调来响应会话删除事件，实现级联清理。
-        例如：知识库模块可以注册回调来清理会话的知识库配置。
-
-        Args:
-            callback: 回调函数，接收会话ID (unified_msg_origin) 作为参数
-
-        """
-        self._on_session_deleted_callbacks.append(callback)
-
-    async def _trigger_session_deleted(self, unified_msg_origin: str) -> None:
-        """触发会话删除回调.
-
-        Args:
-            unified_msg_origin: 会话ID
-
-        """
-        for callback in self._on_session_deleted_callbacks:
-            try:
-                await callback(unified_msg_origin)
-            except Exception as e:
-                from astrbot.core import logger
-
-                logger.error(
-                    f"会话删除回调执行失败 (session: {unified_msg_origin}): {e}",
-                )
-
     def _convert_conv_from_v2_to_v1(self, conv_v2: ConversationV2) -> Conversation:
         """将 ConversationV2 对象转换为 Conversation 对象"""
         created_at = int(conv_v2.created_at.timestamp())
@@ -79,13 +43,12 @@ class ConversationManager:
         title: str | None = None,
         persona_id: str | None = None,
     ) -> str:
-        """新建对话，并将当前会话的对话转移到新对话.
+        """新建对话，并将当前会话的对话转移到新对话
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
         Returns:
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-
         """
         if not platform_id:
             # 如果没有提供 platform_id，则从 unified_msg_origin 中解析
@@ -111,22 +74,18 @@ class ConversationManager:
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-
         """
         self.session_conversations[unified_msg_origin] = conversation_id
         await sp.session_put(unified_msg_origin, "sel_conv_id", conversation_id)
 
     async def delete_conversation(
-        self,
-        unified_msg_origin: str,
-        conversation_id: str | None = None,
+        self, unified_msg_origin: str, conversation_id: str | None = None
     ):
         """删除会话的对话，当 conversation_id 为 None 时删除会话当前的对话
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-
         """
         if not conversation_id:
             conversation_id = self.session_conversations.get(unified_msg_origin)
@@ -142,15 +101,11 @@ class ConversationManager:
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
-
         """
         await self.db.delete_conversations_by_user_id(user_id=unified_msg_origin)
         self.session_conversations.pop(unified_msg_origin, None)
         await sp.session_remove(unified_msg_origin, "sel_conv_id")
 
-        # 触发会话删除回调（级联清理）
-        await self._trigger_session_deleted(unified_msg_origin)
-
     async def get_curr_conversation_id(self, unified_msg_origin: str) -> str | None:
         """获取会话当前的对话 ID
 
@@ -158,7 +113,6 @@ class ConversationManager:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
         Returns:
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-
         """
         ret = self.session_conversations.get(unified_msg_origin, None)
         if not ret:
@@ -173,15 +127,13 @@ class ConversationManager:
         conversation_id: str,
         create_if_not_exists: bool = False,
     ) -> Conversation | None:
-        """获取会话的对话.
+        """获取会话的对话
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
-            create_if_not_exists (bool): 如果对话不存在,是否创建一个新的对话
         Returns:
             conversation (Conversation): 对话对象
-
         """
         conv = await self.db.get_conversation_by_id(cid=conversation_id)
         if not conv and create_if_not_exists:
@@ -194,22 +146,18 @@ class ConversationManager:
         return conv_res
 
     async def get_conversations(
-        self,
-        unified_msg_origin: str | None = None,
-        platform_id: str | None = None,
-    ) -> list[Conversation]:
-        """获取对话列表.
+        self, unified_msg_origin: str | None = None, platform_id: str | None = None
+    ) -> List[Conversation]:
+        """获取对话列表
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id，可选
             platform_id (str): 平台 ID, 可选参数, 用于过滤对话
         Returns:
             conversations (List[Conversation]): 对话对象列表
-
         """
         convs = await self.db.get_conversations(
-            user_id=unified_msg_origin,
-            platform_id=platform_id,
+            user_id=unified_msg_origin, platform_id=platform_id
         )
         convs_res = []
         for conv in convs:
@@ -225,7 +173,7 @@ class ConversationManager:
         search_query: str = "",
         **kwargs,
     ) -> tuple[list[Conversation], int]:
-        """获取过滤后的对话列表.
+        """获取过滤后的对话列表
 
         Args:
             page (int): 页码, 默认为 1
@@ -234,7 +182,6 @@ class ConversationManager:
             search_query (str): 搜索查询字符串, 可选
         Returns:
             conversations (list[Conversation]): 对话对象列表
-
         """
         convs, cnt = await self.db.get_filtered_conversations(
             page=page,
@@ -256,14 +203,13 @@ class ConversationManager:
         history: list[dict] | None = None,
         title: str | None = None,
         persona_id: str | None = None,
-    ) -> None:
-        """更新会话的对话.
+    ):
+        """更新会话的对话
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
             history (List[Dict]): 对话历史记录, 是一个字典列表, 每个字典包含 role 和 content 字段
-
         """
         if not conversation_id:
             # 如果没有提供 conversation_id，则获取当前的
@@ -277,20 +223,16 @@ class ConversationManager:
             )
 
     async def update_conversation_title(
-        self,
-        unified_msg_origin: str,
-        title: str,
-        conversation_id: str | None = None,
-    ) -> None:
-        """更新会话的对话标题.
+        self, unified_msg_origin: str, title: str, conversation_id: str | None = None
+    ):
+        """更新会话的对话标题
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             title (str): 对话标题
-            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+
         Deprecated:
             Use `update_conversation` with `title` parameter instead.
-
         """
         await self.update_conversation(
             unified_msg_origin=unified_msg_origin,
@@ -303,16 +245,15 @@ class ConversationManager:
         unified_msg_origin: str,
         persona_id: str,
         conversation_id: str | None = None,
-    ) -> None:
-        """更新会话的对话 Persona ID.
+    ):
+        """更新会话的对话 Persona ID
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             persona_id (str): 对话 Persona ID
-            conversation_id (str): 对话 ID, 是 uuid 格式的字符串
+
         Deprecated:
             Use `update_conversation` with `persona_id` parameter instead.
-
         """
         await self.update_conversation(
             unified_msg_origin=unified_msg_origin,
@@ -320,85 +261,40 @@ class ConversationManager:
             persona_id=persona_id,
         )
 
-    async def add_message_pair(
-        self,
-        cid: str,
-        user_message: UserMessageSegment | dict,
-        assistant_message: AssistantMessageSegment | dict,
-    ) -> None:
-        """Add a user-assistant message pair to the conversation history.
-
-        Args:
-            cid (str): Conversation ID
-            user_message (UserMessageSegment | dict): OpenAI-format user message object or dict
-            assistant_message (AssistantMessageSegment | dict): OpenAI-format assistant message object or dict
-
-        Raises:
-            Exception: If the conversation with the given ID is not found
-        """
-        conv = await self.db.get_conversation_by_id(cid=cid)
-        if not conv:
-            raise Exception(f"Conversation with id {cid} not found")
-        history = conv.content or []
-        if isinstance(user_message, UserMessageSegment):
-            user_msg_dict = user_message.model_dump()
-        else:
-            user_msg_dict = user_message
-        if isinstance(assistant_message, AssistantMessageSegment):
-            assistant_msg_dict = assistant_message.model_dump()
-        else:
-            assistant_msg_dict = assistant_message
-        history.append(user_msg_dict)
-        history.append(assistant_msg_dict)
-        await self.db.update_conversation(
-            cid=cid,
-            content=history,
-        )
-
     async def get_human_readable_context(
-        self,
-        unified_msg_origin: str,
-        conversation_id: str,
-        page: int = 1,
-        page_size: int = 10,
-    ) -> tuple[list[str], int]:
-        """获取人类可读的上下文.
+        self, unified_msg_origin, conversation_id, page=1, page_size=10
+    ):
+        """获取人类可读的上下文
 
         Args:
             unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
             conversation_id (str): 对话 ID, 是 uuid 格式的字符串
             page (int): 页码
             page_size (int): 每页大小
-
         """
         conversation = await self.get_conversation(unified_msg_origin, conversation_id)
-        if not conversation:
-            return [], 0
         history = json.loads(conversation.history)
 
-        # contexts_groups 存放按顺序的段落（每个段落是一个 str 列表），
-        # 之后会被展平成一个扁平的 str 列表返回。
-        contexts_groups: list[list[str]] = []
-        temp_contexts: list[str] = []
+        contexts = []
+        temp_contexts = []
         for record in history:
             if record["role"] == "user":
                 temp_contexts.append(f"User: {record['content']}")
             elif record["role"] == "assistant":
-                if record.get("content"):
+                if "content" in record and record["content"]:
                     temp_contexts.append(f"Assistant: {record['content']}")
                 elif "tool_calls" in record:
                     tool_calls_str = json.dumps(
-                        record["tool_calls"],
-                        ensure_ascii=False,
+                        record["tool_calls"], ensure_ascii=False
                     )
                     temp_contexts.append(f"Assistant: [函数调用] {tool_calls_str}")
                 else:
                     temp_contexts.append("Assistant: [未知的内容]")
-                contexts_groups.insert(0, temp_contexts)
+                contexts.insert(0, temp_contexts)
                 temp_contexts = []
 
-        # 展平分组后的 contexts 列表为单层字符串列表
-        contexts = [item for sublist in contexts_groups for item in sublist]
+        # 展平 contexts 列表
+        contexts = [item for sublist in contexts for item in sublist]
 
         # 计算分页
         paged_contexts = contexts[(page - 1) * page_size : page * page_size]

astrbot/core/core_lifecycle.py

@@ -1,5 +1,5 @@
-"""Astrbot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作.
-
+"""
+Astrbot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作。
 该类负责初始化各个组件, 包括 ProviderManager、PlatformManager、ConversationManager、PluginManager、PipelineScheduler、EventBus等。
 该类还负责加载和执行插件, 以及处理事件总线的分发。
 
@@ -9,46 +9,42 @@
 3. 执行启动完成事件钩子
 """
 
-import asyncio
-import os
-import threading
-import time
 import traceback
+import asyncio
+import time
+import threading
+import os
+from .event_bus import EventBus
+from . import astrbot_config, html_renderer
 from asyncio import Queue
-
-from astrbot.api import logger, sp
+from typing import List
+from astrbot.core.pipeline.scheduler import PipelineScheduler, PipelineContext
+from astrbot.core.star import PluginManager
+from astrbot.core.platform.manager import PlatformManager
+from astrbot.core.star.context import Context
+from astrbot.core.persona_mgr import PersonaManager
+from astrbot.core.provider.manager import ProviderManager
 from astrbot.core import LogBroker
-from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
+from astrbot.core.db import BaseDatabase
+from astrbot.core.updator import AstrBotUpdator
+from astrbot.core import logger, sp
 from astrbot.core.config.default import VERSION
 from astrbot.core.conversation_mgr import ConversationManager
-from astrbot.core.db import BaseDatabase
-from astrbot.core.knowledge_base.kb_mgr import KnowledgeBaseManager
-from astrbot.core.persona_mgr import PersonaManager
-from astrbot.core.pipeline.scheduler import PipelineContext, PipelineScheduler
-from astrbot.core.platform.manager import PlatformManager
 from astrbot.core.platform_message_history_mgr import PlatformMessageHistoryManager
-from astrbot.core.provider.manager import ProviderManager
-from astrbot.core.star import PluginManager
-from astrbot.core.star.context import Context
-from astrbot.core.star.star_handler import EventType, star_handlers_registry, star_map
-from astrbot.core.umop_config_router import UmopConfigRouter
-from astrbot.core.updator import AstrBotUpdator
-from astrbot.core.utils.llm_metadata import update_llm_metadata
-from astrbot.core.utils.migra_helper import migra
-
-from . import astrbot_config, html_renderer
-from .event_bus import EventBus
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
+from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star_handler import star_map
 
 
 class AstrBotCoreLifecycle:
-    """AstrBot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作.
-
+    """
+    AstrBot 核心生命周期管理类, 负责管理 AstrBot 的启动、停止、重启等操作。
     该类负责初始化各个组件, 包括 ProviderManager、PlatformManager、ConversationManager、PluginManager、PipelineScheduler、
     EventBus 等。
     该类还负责加载和执行插件, 以及处理事件总线的分发。
     """
 
-    def __init__(self, log_broker: LogBroker, db: BaseDatabase) -> None:
+    def __init__(self, log_broker: LogBroker, db: BaseDatabase):
         self.log_broker = log_broker  # 初始化日志代理
         self.astrbot_config = astrbot_config  # 初始化配置
         self.db = db  # 初始化数据库
@@ -72,11 +68,11 @@ class AstrBotCoreLifecycle:
                 del os.environ["no_proxy"]
             logger.debug("HTTP proxy cleared")
 
-    async def initialize(self) -> None:
-        """初始化 AstrBot 核心生命周期管理类.
-
-        负责初始化各个组件, 包括 ProviderManager、PlatformManager、ConversationManager、PluginManager、PipelineScheduler、EventBus、AstrBotUpdator等。
+    async def initialize(self):
         """
+        初始化 AstrBot 核心生命周期管理类, 负责初始化各个组件, 包括 ProviderManager、PlatformManager、ConversationManager、PluginManager、PipelineScheduler、EventBus、AstrBotUpdator等。
+        """
+
         # 初始化日志代理
         logger.info("AstrBot v" + VERSION)
         if os.environ.get("TESTING", ""):
@@ -88,28 +84,11 @@ class AstrBotCoreLifecycle:
 
         await html_renderer.initialize()
 
-        # 初始化 UMOP 配置路由器
-        self.umop_config_router = UmopConfigRouter(sp=sp)
-
         # 初始化 AstrBot 配置管理器
         self.astrbot_config_mgr = AstrBotConfigManager(
-            default_config=self.astrbot_config,
-            ucr=self.umop_config_router,
-            sp=sp,
+            default_config=self.astrbot_config, sp=sp
         )
 
-        # apply migration
-        try:
-            await migra(
-                self.db,
-                self.astrbot_config_mgr,
-                self.umop_config_router,
-                self.astrbot_config_mgr,
-            )
-        except Exception as e:
-            logger.error(f"AstrBot migration failed: {e!s}")
-            logger.error(traceback.format_exc())
-
         # 初始化事件队列
         self.event_queue = Queue()
 
@@ -119,9 +98,7 @@ class AstrBotCoreLifecycle:
 
         # 初始化供应商管理器
         self.provider_manager = ProviderManager(
-            self.astrbot_config_mgr,
-            self.db,
-            self.persona_mgr,
+            self.astrbot_config_mgr, self.db, self.persona_mgr
         )
 
         # 初始化平台管理器
@@ -133,9 +110,6 @@ class AstrBotCoreLifecycle:
         # 初始化平台消息历史管理器
         self.platform_message_history_manager = PlatformMessageHistoryManager(self.db)
 
-        # 初始化知识库管理器
-        self.kb_manager = KnowledgeBaseManager(self.provider_manager)
-
         # 初始化提供给插件的上下文
         self.star_context = Context(
             self.event_queue,
@@ -147,7 +121,6 @@ class AstrBotCoreLifecycle:
             self.platform_message_history_manager,
             self.persona_mgr,
             self.astrbot_config_mgr,
-            self.kb_manager,
         )
 
         # 初始化插件管理器
@@ -159,9 +132,8 @@ class AstrBotCoreLifecycle:
         # 根据配置实例化各个 Provider
         await self.provider_manager.initialize()
 
-        await self.kb_manager.initialize()
-
         # 初始化消息事件流水线调度器
+
         self.pipeline_scheduler_mapping = await self.load_pipeline_scheduler()
 
         # 初始化更新器
@@ -169,16 +141,14 @@ class AstrBotCoreLifecycle:
 
         # 初始化事件总线
         self.event_bus = EventBus(
-            self.event_queue,
-            self.pipeline_scheduler_mapping,
-            self.astrbot_config_mgr,
+            self.event_queue, self.pipeline_scheduler_mapping, self.astrbot_config_mgr
         )
 
         # 记录启动时间
         self.start_time = int(time.time())
 
         # 初始化当前任务列表
-        self.curr_tasks: list[asyncio.Task] = []
+        self.curr_tasks: List[asyncio.Task] = []
 
         # 根据配置实例化各个平台适配器
         await self.platform_manager.initialize()
@@ -186,36 +156,33 @@ class AstrBotCoreLifecycle:
         # 初始化关闭控制面板的事件
         self.dashboard_shutdown_event = asyncio.Event()
 
-        asyncio.create_task(update_llm_metadata())
+    def _load(self):
+        """加载事件总线和任务并初始化"""
 
-    def _load(self) -> None:
-        """加载事件总线和任务并初始化."""
         # 创建一个异步任务来执行事件总线的 dispatch() 方法
         # dispatch是一个无限循环的协程, 从事件队列中获取事件并处理
         event_bus_task = asyncio.create_task(
-            self.event_bus.dispatch(),
-            name="event_bus",
+            self.event_bus.dispatch(), name="event_bus"
         )
 
         # 把插件中注册的所有协程函数注册到事件总线中并执行
         extra_tasks = []
         for task in self.star_context._register_tasks:
-            extra_tasks.append(asyncio.create_task(task, name=task.__name__))  # type: ignore
+            extra_tasks.append(asyncio.create_task(task, name=task.__name__))
 
         tasks_ = [event_bus_task, *extra_tasks]
         for task in tasks_:
             self.curr_tasks.append(
-                asyncio.create_task(self._task_wrapper(task), name=task.get_name()),
+                asyncio.create_task(self._task_wrapper(task), name=task.get_name())
             )
 
         self.start_time = int(time.time())
 
-    async def _task_wrapper(self, task: asyncio.Task) -> None:
-        """异步任务包装器, 用于处理异步任务执行中出现的各种异常.
+    async def _task_wrapper(self, task: asyncio.Task):
+        """异步任务包装器, 用于处理异步任务执行中出现的各种异常
 
         Args:
             task (asyncio.Task): 要执行的异步任务
-
         """
         try:
             await task
@@ -228,22 +195,19 @@ class AstrBotCoreLifecycle:
                 logger.error(f"|    {line}")
             logger.error("-------")
 
-    async def start(self) -> None:
-        """启动 AstrBot 核心生命周期管理类.
-
-        用load加载事件总线和任务并初始化, 执行启动完成事件钩子
-        """
+    async def start(self):
+        """启动 AstrBot 核心生命周期管理类, 用load加载事件总线和任务并初始化, 执行启动完成事件钩子"""
         self._load()
         logger.info("AstrBot 启动完成。")
 
         # 执行启动完成事件钩子
         handlers = star_handlers_registry.get_handlers_by_event_type(
-            EventType.OnAstrBotLoadedEvent,
+            EventType.OnAstrBotLoadedEvent
         )
         for handler in handlers:
             try:
                 logger.info(
-                    f"hook(on_astrbot_loaded) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}",
+                    f"hook(on_astrbot_loaded) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
                 )
                 await handler.handler()
             except BaseException:
@@ -252,8 +216,8 @@ class AstrBotCoreLifecycle:
         # 同时运行curr_tasks中的所有任务
         await asyncio.gather(*self.curr_tasks, return_exceptions=True)
 
-    async def stop(self) -> None:
-        """停止 AstrBot 核心生命周期管理类, 取消所有当前任务并终止各个管理器."""
+    async def stop(self):
+        """停止 AstrBot 核心生命周期管理类, 取消所有当前任务并终止各个管理器"""
         # 请求停止所有正在运行的异步任务
         for task in self.curr_tasks:
             task.cancel()
@@ -264,12 +228,11 @@ class AstrBotCoreLifecycle:
             except Exception as e:
                 logger.warning(traceback.format_exc())
                 logger.warning(
-                    f"插件 {plugin.name} 未被正常终止 {e!s}, 可能会导致资源泄露等问题。",
+                    f"插件 {plugin.name} 未被正常终止 {e!s}, 可能会导致资源泄露等问题。"
                 )
 
         await self.provider_manager.terminate()
         await self.platform_manager.terminate()
-        await self.kb_manager.terminate()
         self.dashboard_shutdown_event.set()
 
         # 再次遍历curr_tasks等待每个任务真正结束
@@ -281,19 +244,16 @@ class AstrBotCoreLifecycle:
             except Exception as e:
                 logger.error(f"任务 {task.get_name()} 发生错误: {e}")
 
-    async def restart(self) -> None:
+    async def restart(self):
         """重启 AstrBot 核心生命周期管理类, 终止各个管理器并重新加载平台实例"""
         await self.provider_manager.terminate()
         await self.platform_manager.terminate()
-        await self.kb_manager.terminate()
         self.dashboard_shutdown_event.set()
         threading.Thread(
-            target=self.astrbot_updator._reboot,
-            name="restart",
-            daemon=True,
+            target=self.astrbot_updator._reboot, name="restart", daemon=True
         ).start()
 
-    def load_platform(self) -> list[asyncio.Task]:
+    def load_platform(self) -> List[asyncio.Task]:
         """加载平台实例并返回所有平台实例的异步任务列表"""
         tasks = []
         platform_insts = self.platform_manager.get_insts()
@@ -302,38 +262,36 @@ class AstrBotCoreLifecycle:
                 asyncio.create_task(
                     platform_inst.run(),
                     name=f"{platform_inst.meta().id}({platform_inst.meta().name})",
-                ),
+                )
             )
         return tasks
 
     async def load_pipeline_scheduler(self) -> dict[str, PipelineScheduler]:
-        """加载消息事件流水线调度器.
+        """加载消息事件流水线调度器
 
         Returns:
             dict[str, PipelineScheduler]: 平台 ID 到流水线调度器的映射
-
         """
         mapping = {}
         for conf_id, ab_config in self.astrbot_config_mgr.confs.items():
             scheduler = PipelineScheduler(
-                PipelineContext(ab_config, self.plugin_manager, conf_id),
+                PipelineContext(ab_config, self.plugin_manager, conf_id)
             )
             await scheduler.initialize()
             mapping[conf_id] = scheduler
         return mapping
 
-    async def reload_pipeline_scheduler(self, conf_id: str) -> None:
-        """重新加载消息事件流水线调度器.
+    async def reload_pipeline_scheduler(self, conf_id: str):
+        """重新加载消息事件流水线调度器
 
         Returns:
             dict[str, PipelineScheduler]: 平台 ID 到流水线调度器的映射
-
         """
         ab_config = self.astrbot_config_mgr.confs.get(conf_id)
         if not ab_config:
             raise ValueError(f"配置文件 {conf_id} 不存在")
         scheduler = PipelineScheduler(
-            PipelineContext(ab_config, self.plugin_manager, conf_id),
+            PipelineContext(ab_config, self.plugin_manager, conf_id)
         )
         await scheduler.initialize()
         self.pipeline_scheduler_mapping[conf_id] = scheduler

astrbot/core/db/__init__.py

@@ -1,29 +1,27 @@
 import abc
 import datetime
 import typing as T
-from contextlib import asynccontextmanager
-from dataclasses import dataclass
-
 from deprecated import deprecated
-from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
-
+from dataclasses import dataclass
 from astrbot.core.db.po import (
-    Attachment,
-    CommandConfig,
-    CommandConflict,
-    ConversationV2,
-    Persona,
-    PlatformMessageHistory,
-    PlatformSession,
-    PlatformStat,
-    Preference,
     Stats,
+    PlatformStat,
+    ConversationV2,
+    PlatformMessageHistory,
+    Attachment,
+    Persona,
+    Preference,
 )
+from contextlib import asynccontextmanager
+from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
+from sqlalchemy.orm import sessionmaker
 
 
 @dataclass
 class BaseDatabase(abc.ABC):
-    """数据库基类"""
+    """
+    数据库基类
+    """
 
     DATABASE_URL = ""
 
@@ -33,14 +31,13 @@ class BaseDatabase(abc.ABC):
             echo=False,
             future=True,
         )
-        self.AsyncSessionLocal = async_sessionmaker(
-            self.engine,
-            class_=AsyncSession,
-            expire_on_commit=False,
+        self.AsyncSessionLocal = sessionmaker(
+            self.engine, class_=AsyncSession, expire_on_commit=False
         )
 
     async def initialize(self):
         """初始化数据库连接"""
+        pass
 
     @asynccontextmanager
     async def get_db(self) -> T.AsyncGenerator[AsyncSession, None]:
@@ -94,9 +91,7 @@ class BaseDatabase(abc.ABC):
 
     @abc.abstractmethod
     async def get_conversations(
-        self,
-        user_id: str | None = None,
-        platform_id: str | None = None,
+        self, user_id: str | None = None, platform_id: str | None = None
     ) -> list[ConversationV2]:
         """Get all conversations for a specific user and platform_id(optional).
 
@@ -111,9 +106,7 @@ class BaseDatabase(abc.ABC):
 
     @abc.abstractmethod
     async def get_all_conversations(
-        self,
-        page: int = 1,
-        page_size: int = 20,
+        self, page: int = 1, page_size: int = 20
     ) -> list[ConversationV2]:
         """Get all conversations with pagination."""
         ...
@@ -174,18 +167,15 @@ class BaseDatabase(abc.ABC):
         content: dict,
         sender_id: str | None = None,
         sender_name: str | None = None,
-    ) -> PlatformMessageHistory:
+    ) -> None:
         """Insert a new platform message history record."""
         ...
 
     @abc.abstractmethod
     async def delete_platform_message_offset(
-        self,
-        platform_id: str,
-        user_id: str,
-        offset_sec: int = 86400,
+        self, platform_id: str, user_id: str, offset_sec: int = 86400
     ) -> None:
-        """Delete platform message history records newer than the specified offset."""
+        """Delete platform message history records older than the specified offset."""
         ...
 
     @abc.abstractmethod
@@ -199,14 +189,6 @@ class BaseDatabase(abc.ABC):
         """Get platform message history for a specific user."""
         ...
 
-    @abc.abstractmethod
-    async def get_platform_message_history_by_id(
-        self,
-        message_id: int,
-    ) -> PlatformMessageHistory | None:
-        """Get a platform message history record by its ID."""
-        ...
-
     @abc.abstractmethod
     async def insert_attachment(
         self,
@@ -222,27 +204,6 @@ class BaseDatabase(abc.ABC):
         """Get an attachment by its ID."""
         ...
 
-    @abc.abstractmethod
-    async def get_attachments(self, attachment_ids: list[str]) -> list[Attachment]:
-        """Get multiple attachments by their IDs."""
-        ...
-
-    @abc.abstractmethod
-    async def delete_attachment(self, attachment_id: str) -> bool:
-        """Delete an attachment by its ID.
-
-        Returns True if the attachment was deleted, False if it was not found.
-        """
-        ...
-
-    @abc.abstractmethod
-    async def delete_attachments(self, attachment_ids: list[str]) -> int:
-        """Delete multiple attachments by their IDs.
-
-        Returns the number of attachments deleted.
-        """
-        ...
-
     @abc.abstractmethod
     async def insert_persona(
         self,
@@ -282,11 +243,7 @@ class BaseDatabase(abc.ABC):
 
     @abc.abstractmethod
     async def insert_preference_or_update(
-        self,
-        scope: str,
-        scope_id: str,
-        key: str,
-        value: dict,
+        self, scope: str, scope_id: str, key: str, value: dict
     ) -> Preference:
         """Insert a new preference record."""
         ...
@@ -298,10 +255,7 @@ class BaseDatabase(abc.ABC):
 
     @abc.abstractmethod
     async def get_preferences(
-        self,
-        scope: str,
-        scope_id: str | None = None,
-        key: str | None = None,
+        self, scope: str, scope_id: str | None = None, key: str | None = None
     ) -> list[Preference]:
         """Get all preferences for a specific scope ID or key."""
         ...
@@ -316,76 +270,6 @@ class BaseDatabase(abc.ABC):
         """Clear all preferences for a specific scope ID."""
         ...
 
-    @abc.abstractmethod
-    async def get_command_configs(self) -> list[CommandConfig]:
-        """Get all stored command configurations."""
-        ...
-
-    @abc.abstractmethod
-    async def get_command_config(self, handler_full_name: str) -> CommandConfig | None:
-        """Fetch a single command configuration by handler."""
-        ...
-
-    @abc.abstractmethod
-    async def upsert_command_config(
-        self,
-        handler_full_name: str,
-        plugin_name: str,
-        module_path: str,
-        original_command: str,
-        *,
-        resolved_command: str | None = None,
-        enabled: bool | None = None,
-        keep_original_alias: bool | None = None,
-        conflict_key: str | None = None,
-        resolution_strategy: str | None = None,
-        note: str | None = None,
-        extra_data: dict | None = None,
-        auto_managed: bool | None = None,
-    ) -> CommandConfig:
-        """Create or update a command configuration."""
-        ...
-
-    @abc.abstractmethod
-    async def delete_command_config(self, handler_full_name: str) -> None:
-        """Delete a single command configuration."""
-        ...
-
-    @abc.abstractmethod
-    async def delete_command_configs(self, handler_full_names: list[str]) -> None:
-        """Bulk delete command configurations."""
-        ...
-
-    @abc.abstractmethod
-    async def list_command_conflicts(
-        self,
-        status: str | None = None,
-    ) -> list[CommandConflict]:
-        """List recorded command conflict entries."""
-        ...
-
-    @abc.abstractmethod
-    async def upsert_command_conflict(
-        self,
-        conflict_key: str,
-        handler_full_name: str,
-        plugin_name: str,
-        *,
-        status: str | None = None,
-        resolution: str | None = None,
-        resolved_command: str | None = None,
-        note: str | None = None,
-        extra_data: dict | None = None,
-        auto_generated: bool | None = None,
-    ) -> CommandConflict:
-        """Create or update a conflict record."""
-        ...
-
-    @abc.abstractmethod
-    async def delete_command_conflicts(self, ids: list[int]) -> None:
-        """Delete conflict records."""
-        ...
-
     # @abc.abstractmethod
     # async def insert_llm_message(
     #     self,
@@ -414,51 +298,3 @@ class BaseDatabase(abc.ABC):
     ) -> tuple[list[dict], int]:
         """Get paginated session conversations with joined conversation and persona details, support search and platform filter."""
         ...
-
-    # ====
-    # Platform Session Management
-    # ====
-
-    @abc.abstractmethod
-    async def create_platform_session(
-        self,
-        creator: str,
-        platform_id: str = "webchat",
-        session_id: str | None = None,
-        display_name: str | None = None,
-        is_group: int = 0,
-    ) -> PlatformSession:
-        """Create a new Platform session."""
-        ...
-
-    @abc.abstractmethod
-    async def get_platform_session_by_id(
-        self, session_id: str
-    ) -> PlatformSession | None:
-        """Get a Platform session by its ID."""
-        ...
-
-    @abc.abstractmethod
-    async def get_platform_sessions_by_creator(
-        self,
-        creator: str,
-        platform_id: str | None = None,
-        page: int = 1,
-        page_size: int = 20,
-    ) -> list[PlatformSession]:
-        """Get all Platform sessions for a specific creator (username) and optionally platform."""
-        ...
-
-    @abc.abstractmethod
-    async def update_platform_session(
-        self,
-        session_id: str,
-        display_name: str | None = None,
-    ) -> None:
-        """Update a Platform session's updated_at timestamp and optionally display_name."""
-        ...
-
-    @abc.abstractmethod
-    async def delete_platform_session(self, session_id: str) -> None:
-        """Delete a Platform session by its ID."""
-        ...

astrbot/core/db/migration/helper.py

@@ -1,33 +1,27 @@
 import os
-
-from astrbot.api import logger, sp
-from astrbot.core.config import AstrBotConfig
-from astrbot.core.db import BaseDatabase
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
-
+from astrbot.core.db import BaseDatabase
+from astrbot.core.config import AstrBotConfig
+from astrbot.api import logger, sp
 from .migra_3_to_4 import (
     migration_conversation_table,
-    migration_persona_data,
     migration_platform_table,
-    migration_preferences,
     migration_webchat_data,
+    migration_persona_data,
+    migration_preferences,
 )
 
 
 async def check_migration_needed_v4(db_helper: BaseDatabase) -> bool:
-    """检查是否需要进行数据库迁移
+    """
+    检查是否需要进行数据库迁移
     如果存在 data_v3.db 并且 preference 中没有 migration_done_v4，则需要进行迁移。
     """
-    # 仅当 data 目录下存在旧版本数据（data_v3.db 文件）时才考虑迁移
-    data_dir = get_astrbot_data_path()
-    data_v3_db = os.path.join(data_dir, "data_v3.db")
-
-    if not os.path.exists(data_v3_db):
+    data_v3_exists = os.path.exists(get_astrbot_data_path())
+    if not data_v3_exists:
         return False
     migration_done = await db_helper.get_preference(
-        "global",
-        "global",
-        "migration_done_v4",
+        "global", "global", "migration_done_v4"
     )
     if migration_done:
         return False
@@ -38,8 +32,9 @@ async def do_migration_v4(
     db_helper: BaseDatabase,
     platform_id_map: dict[str, dict[str, str]],
     astrbot_config: AstrBotConfig,
-) -> None:
-    """执行数据库迁移
+):
+    """
+    执行数据库迁移
     迁移旧的 webchat_conversation 表到新的 conversation 表。
     迁移旧的 platform 到新的 platform_stats 表。
     """

astrbot/core/db/migration/migra_3_to_4.py

@@ -1,18 +1,15 @@
-import datetime
 import json
-
-from sqlalchemy import text
-from sqlalchemy.ext.asyncio import AsyncSession
-
+import datetime
+from .. import BaseDatabase
+from .sqlite_v3 import SQLiteDatabase as SQLiteV3DatabaseV3
+from .shared_preferences_v3 import sp as sp_v3
+from astrbot.core.config.default import DB_PATH
 from astrbot.api import logger, sp
 from astrbot.core.config import AstrBotConfig
-from astrbot.core.config.default import DB_PATH
-from astrbot.core.db.po import ConversationV2, PlatformMessageHistory
 from astrbot.core.platform.astr_message_event import MessageSesion
-
-from .. import BaseDatabase
-from .shared_preferences_v3 import sp as sp_v3
-from .sqlite_v3 import SQLiteDatabase as SQLiteV3DatabaseV3
+from sqlalchemy.ext.asyncio import AsyncSession
+from astrbot.core.db.po import ConversationV2, PlatformMessageHistory
+from sqlalchemy import text
 
 """
 1. 迁移旧的 webchat_conversation 表到新的 conversation 表。
@@ -21,8 +18,7 @@ from .sqlite_v3 import SQLiteDatabase as SQLiteV3DatabaseV3
 
 
 def get_platform_id(
-    platform_id_map: dict[str, dict[str, str]],
-    old_platform_name: str,
+    platform_id_map: dict[str, dict[str, str]], old_platform_name: str
 ) -> str:
     return platform_id_map.get(
         old_platform_name,
@@ -31,8 +27,7 @@ def get_platform_id(
 
 
 def get_platform_type(
-    platform_id_map: dict[str, dict[str, str]],
-    old_platform_name: str,
+    platform_id_map: dict[str, dict[str, str]], old_platform_name: str
 ) -> str:
     return platform_id_map.get(
         old_platform_name,
@@ -41,15 +36,13 @@ def get_platform_type(
 
 
 async def migration_conversation_table(
-    db_helper: BaseDatabase,
-    platform_id_map: dict[str, dict[str, str]],
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
 ):
     db_helper_v3 = SQLiteV3DatabaseV3(
-        db_path=DB_PATH.replace("data_v4.db", "data_v3.db"),
+        db_path=DB_PATH.replace("data_v4.db", "data_v3.db")
     )
     conversations, total_cnt = db_helper_v3.get_all_conversations(
-        page=1,
-        page_size=10000000,
+        page=1, page_size=10000000
     )
     logger.info(f"迁移 {total_cnt} 条旧的会话数据到新的表中...")
 
@@ -68,15 +61,13 @@ async def migration_conversation_table(
                     )
                     if not conv:
                         logger.info(
-                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。",
+                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。"
                         )
-                        continue
                     if ":" not in conv.user_id:
                         continue
                     session = MessageSesion.from_str(session_str=conv.user_id)
                     platform_id = get_platform_id(
-                        platform_id_map,
-                        session.platform_name,
+                        platform_id_map, session.platform_name
                     )
                     session.platform_id = platform_id  # 更新平台名称为新的 ID
                     conv_v2 = ConversationV2(
@@ -99,11 +90,10 @@ async def migration_conversation_table(
 
 
 async def migration_platform_table(
-    db_helper: BaseDatabase,
-    platform_id_map: dict[str, dict[str, str]],
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
 ):
     db_helper_v3 = SQLiteV3DatabaseV3(
-        db_path=DB_PATH.replace("data_v4.db", "data_v3.db"),
+        db_path=DB_PATH.replace("data_v4.db", "data_v3.db")
     )
     secs_from_2023_4_10_to_now = (
         datetime.datetime.now(datetime.timezone.utc)
@@ -144,12 +134,10 @@ async def migration_platform_table(
                 if cnt == 0:
                     continue
                 platform_id = get_platform_id(
-                    platform_id_map,
-                    platform_stats_v3[idx].name,
+                    platform_id_map, platform_stats_v3[idx].name
                 )
                 platform_type = get_platform_type(
-                    platform_id_map,
-                    platform_stats_v3[idx].name,
+                    platform_id_map, platform_stats_v3[idx].name
                 )
                 try:
                     await dbsession.execute(
@@ -161,8 +149,7 @@ async def migration_platform_table(
                         """),
                         {
                             "timestamp": datetime.datetime.fromtimestamp(
-                                bucket_end,
-                                tz=datetime.timezone.utc,
+                                bucket_end, tz=datetime.timezone.utc
                             ),
                             "platform_id": platform_id,
                             "platform_type": platform_type,
@@ -178,16 +165,14 @@ async def migration_platform_table(
 
 
 async def migration_webchat_data(
-    db_helper: BaseDatabase,
-    platform_id_map: dict[str, dict[str, str]],
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
 ):
     """迁移 WebChat 的历史记录到新的 PlatformMessageHistory 表中"""
     db_helper_v3 = SQLiteV3DatabaseV3(
-        db_path=DB_PATH.replace("data_v4.db", "data_v3.db"),
+        db_path=DB_PATH.replace("data_v4.db", "data_v3.db")
     )
     conversations, total_cnt = db_helper_v3.get_all_conversations(
-        page=1,
-        page_size=10000000,
+        page=1, page_size=10000000
     )
     logger.info(f"迁移 {total_cnt} 条旧的 WebChat 会话数据到新的表中...")
 
@@ -206,9 +191,8 @@ async def migration_webchat_data(
                     )
                     if not conv:
                         logger.info(
-                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。",
+                            f"未找到该条旧会话对应的具体数据: {conversation}, 跳过。"
                         )
-                        continue
                     if ":" in conv.user_id:
                         continue
                     platform_id = "webchat"
@@ -234,10 +218,10 @@ async def migration_webchat_data(
 
 
 async def migration_persona_data(
-    db_helper: BaseDatabase,
-    astrbot_config: AstrBotConfig,
+    db_helper: BaseDatabase, astrbot_config: AstrBotConfig
 ):
-    """迁移 Persona 数据到新的表中。
+    """
+    迁移 Persona 数据到新的表中。
     旧的 Persona 数据存储在 preference 中，新的 Persona 数据存储在 persona 表中。
     """
     v3_persona_config: list[dict] = astrbot_config.get("persona", [])
@@ -252,15 +236,14 @@ async def migration_persona_data(
         try:
             begin_dialogs = persona.get("begin_dialogs", [])
             mood_imitation_dialogs = persona.get("mood_imitation_dialogs", [])
-            parts = []
+            mood_prompt = ""
             user_turn = True
             for mood_dialog in mood_imitation_dialogs:
                 if user_turn:
-                    parts.append(f"A: {mood_dialog}\n")
+                    mood_prompt += f"A: {mood_dialog}\n"
                 else:
-                    parts.append(f"B: {mood_dialog}\n")
+                    mood_prompt += f"B: {mood_dialog}\n"
                 user_turn = not user_turn
-            mood_prompt = "".join(parts)
             system_prompt = persona.get("prompt", "")
             if mood_prompt:
                 system_prompt += f"Here are few shots of dialogs, you need to imitate the tone of 'B' in the following dialogs to respond:\n {mood_prompt}"
@@ -270,15 +253,14 @@ async def migration_persona_data(
                 begin_dialogs=begin_dialogs,
             )
             logger.info(
-                f"迁移 Persona {persona['name']}({persona_new.system_prompt[:30]}...) 到新表成功。",
+                f"迁移 Persona {persona['name']}({persona_new.system_prompt[:30]}...) 到新表成功。"
             )
         except Exception as e:
             logger.error(f"解析 Persona 配置失败：{e}")
 
 
 async def migration_preferences(
-    db_helper: BaseDatabase,
-    platform_id_map: dict[str, dict[str, str]],
+    db_helper: BaseDatabase, platform_id_map: dict[str, dict[str, str]]
 ):
     # 1. global scope migration
     keys = [
@@ -347,13 +329,10 @@ async def migration_preferences(
 
             for provider_type, provider_id in perf.items():
                 await sp.put_async(
-                    "umo",
-                    str(session),
-                    f"provider_perf_{provider_type}",
-                    provider_id,
+                    "umo", str(session), f"provider_perf_{provider_type}", provider_id
                 )
             logger.info(
-                f"迁移会话 {umo} 的提供商偏好到新表成功，平台 ID: {platform_id}",
+                f"迁移会话 {umo} 的提供商偏好到新表成功，平台 ID: {platform_id}"
             )
         except Exception as e:
             logger.error(f"迁移会话 {umo} 的提供商偏好失败: {e}", exc_info=True)

astrbot/core/db/migration/migra_45_to_46.py

@@ -1,44 +0,0 @@
-from astrbot.api import logger, sp
-from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
-from astrbot.core.umop_config_router import UmopConfigRouter
-
-
-async def migrate_45_to_46(acm: AstrBotConfigManager, ucr: UmopConfigRouter):
-    abconf_data = acm.abconf_data
-
-    if not isinstance(abconf_data, dict):
-        # should be unreachable
-        logger.warning(
-            f"migrate_45_to_46: abconf_data is not a dict (type={type(abconf_data)}). Value: {abconf_data!r}",
-        )
-        return
-
-    # 如果任何一项带有 umop，则说明需要迁移
-    need_migration = False
-    for conf_id, conf_info in abconf_data.items():
-        if isinstance(conf_info, dict) and "umop" in conf_info:
-            need_migration = True
-            break
-
-    if not need_migration:
-        return
-
-    logger.info("Starting migration from version 4.5 to 4.6")
-
-    # extract umo->conf_id mapping
-    umo_to_conf_id = {}
-    for conf_id, conf_info in abconf_data.items():
-        if isinstance(conf_info, dict) and "umop" in conf_info:
-            umop_ls = conf_info.pop("umop")
-            if not isinstance(umop_ls, list):
-                continue
-            for umo in umop_ls:
-                if isinstance(umo, str) and umo not in umo_to_conf_id:
-                    umo_to_conf_id[umo] = conf_id
-
-    # update the abconf data
-    await sp.global_put("abconf_mapping", abconf_data)
-    # update the umop config router
-    await ucr.update_routing_data(umo_to_conf_id)
-
-    logger.info("Migration from version 45 to 46 completed successfully")

astrbot/core/db/migration/migra_webchat_session.py

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

astrbot/core/db/migration/shared_preferences_v3.py

@@ -1,7 +1,6 @@
 import json
 import os
 from typing import TypeVar
-
 from astrbot.core.utils.astrbot_path import get_astrbot_data_path
 
 _VT = TypeVar("_VT")
@@ -17,7 +16,7 @@ class SharedPreferences:
     def _load_preferences(self):
         if os.path.exists(self.path):
             try:
-                with open(self.path) as f:
+                with open(self.path, "r") as f:
                     return json.load(f)
             except json.JSONDecodeError:
                 os.remove(self.path)

astrbot/core/db/migration/sqlite_v3.py

@@ -1,9 +1,8 @@
 import sqlite3
 import time
-from dataclasses import dataclass
-from typing import Any
-
 from astrbot.core.db.po import Platform, Stats
+from typing import Tuple, List, Dict, Any
+from dataclasses import dataclass
 
 
 @dataclass
@@ -95,7 +94,7 @@ class SQLiteDatabase:
         c.execute(
             """
             PRAGMA table_info(webchat_conversation)
-            """,
+            """
         )
         res = c.fetchall()
         has_title = False
@@ -109,14 +108,14 @@ class SQLiteDatabase:
             c.execute(
                 """
                 ALTER TABLE webchat_conversation ADD COLUMN title TEXT;
-                """,
+                """
             )
             self.conn.commit()
         if not has_persona_id:
             c.execute(
                 """
                 ALTER TABLE webchat_conversation ADD COLUMN persona_id TEXT;
-                """,
+                """
             )
             self.conn.commit()
 
@@ -127,7 +126,7 @@ class SQLiteDatabase:
         conn.text_factory = str
         return conn
 
-    def _exec_sql(self, sql: str, params: tuple | None = None):
+    def _exec_sql(self, sql: str, params: Tuple = None):
         conn = self.conn
         try:
             c = self.conn.cursor()
@@ -175,7 +174,7 @@ class SQLiteDatabase:
             """
             SELECT * FROM platform
             """
-            + where_clause,
+            + where_clause
         )
 
         platform = []
@@ -195,7 +194,7 @@ class SQLiteDatabase:
         c.execute(
             """
             SELECT SUM(count) FROM platform
-            """,
+            """
         )
         res = c.fetchone()
         c.close()
@@ -215,7 +214,7 @@ class SQLiteDatabase:
             SELECT name, SUM(count), timestamp FROM platform
             """
             + where_clause
-            + " GROUP BY name",
+            + " GROUP BY name"
         )
 
         platform = []
@@ -224,11 +223,9 @@ class SQLiteDatabase:
 
         c.close()
 
-        return Stats(platform)
+        return Stats(platform, [], [])
 
-    def get_conversation_by_user_id(
-        self, user_id: str, cid: str
-    ) -> Conversation | None:
+    def get_conversation_by_user_id(self, user_id: str, cid: str) -> Conversation:
         try:
             c = self.conn.cursor()
         except sqlite3.ProgrammingError:
@@ -245,7 +242,7 @@ class SQLiteDatabase:
         c.close()
 
         if not res:
-            return None
+            return
 
         return Conversation(*res)
 
@@ -260,7 +257,7 @@ class SQLiteDatabase:
             (user_id, cid, history, updated_at, created_at),
         )
 
-    def get_conversations(self, user_id: str) -> list[Conversation]:
+    def get_conversations(self, user_id: str) -> Tuple:
         try:
             c = self.conn.cursor()
         except sqlite3.ProgrammingError:
@@ -283,7 +280,7 @@ class SQLiteDatabase:
             title = row[3]
             persona_id = row[4]
             conversations.append(
-                Conversation("", cid, "[]", created_at, updated_at, title, persona_id),
+                Conversation("", cid, "[]", created_at, updated_at, title, persona_id)
             )
         return conversations
 
@@ -322,10 +319,8 @@ class SQLiteDatabase:
         )
 
     def get_all_conversations(
-        self,
-        page: int = 1,
-        page_size: int = 20,
-    ) -> tuple[list[dict[str, Any]], int]:
+        self, page: int = 1, page_size: int = 20
+    ) -> Tuple[List[Dict[str, Any]], int]:
         """获取所有对话，支持分页，按更新时间降序排序"""
         try:
             c = self.conn.cursor()
@@ -371,7 +366,7 @@ class SQLiteDatabase:
                         "persona_id": persona_id or "",
                         "created_at": created_at or 0,
                         "updated_at": updated_at or 0,
-                    },
+                    }
                 )
 
             return conversations, total_count
@@ -386,12 +381,12 @@ class SQLiteDatabase:
         self,
         page: int = 1,
         page_size: int = 20,
-        platforms: list[str] | None = None,
-        message_types: list[str] | None = None,
-        search_query: str | None = None,
-        exclude_ids: list[str] | None = None,
-        exclude_platforms: list[str] | None = None,
-    ) -> tuple[list[dict[str, Any]], int]:
+        platforms: List[str] = None,
+        message_types: List[str] = None,
+        search_query: str = None,
+        exclude_ids: List[str] = None,
+        exclude_platforms: List[str] = None,
+    ) -> Tuple[List[Dict[str, Any]], int]:
         """获取筛选后的对话列表"""
         try:
             c = self.conn.cursor()
@@ -427,7 +422,7 @@ class SQLiteDatabase:
             if search_query:
                 search_query = search_query.encode("unicode_escape").decode("utf-8")
                 where_clauses.append(
-                    "(title LIKE ? OR user_id LIKE ? OR cid LIKE ? OR history LIKE ?)",
+                    "(title LIKE ? OR user_id LIKE ? OR cid LIKE ? OR history LIKE ?)"
                 )
                 search_param = f"%{search_query}%"
                 params.extend([search_param, search_param, search_param, search_param])
@@ -487,7 +482,7 @@ class SQLiteDatabase:
                         "persona_id": persona_id or "",
                         "created_at": created_at or 0,
                         "updated_at": updated_at or 0,
-                    },
+                    }
                 )
 
             return conversations, total_count

astrbot/core/db/po.py

@@ -1,9 +1,15 @@
 import uuid
-from dataclasses import dataclass, field
-from datetime import datetime, timezone
-from typing import TypedDict
 
-from sqlmodel import JSON, Field, SQLModel, Text, UniqueConstraint
+from datetime import datetime, timezone
+from dataclasses import dataclass, field
+from sqlmodel import (
+    SQLModel,
+    Text,
+    JSON,
+    UniqueConstraint,
+    Field,
+)
+from typing import Optional, TypedDict
 
 
 class PlatformStat(SQLModel, table=True):
@@ -12,7 +18,7 @@ class PlatformStat(SQLModel, table=True):
     Note: In astrbot v4, we moved `platform` table to here.
     """
 
-    __tablename__: str = "platform_stats"
+    __tablename__ = "platform_stats"
 
     id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
     timestamp: datetime = Field(nullable=False)
@@ -31,12 +37,10 @@ class PlatformStat(SQLModel, table=True):
 
 
 class ConversationV2(SQLModel, table=True):
-    __tablename__: str = "conversations"
+    __tablename__ = "conversations"
 
-    inner_conversation_id: int | None = Field(
-        default=None,
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
+    inner_conversation_id: int = Field(
+        primary_key=True, sa_column_kwargs={"autoincrement": True}
     )
     conversation_id: str = Field(
         max_length=36,
@@ -46,14 +50,14 @@ class ConversationV2(SQLModel, table=True):
     )
     platform_id: str = Field(nullable=False)
     user_id: str = Field(nullable=False)
-    content: list | None = Field(default=None, sa_type=JSON)
+    content: Optional[list] = Field(default=None, sa_type=JSON)
     created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
     updated_at: datetime = Field(
         default_factory=lambda: datetime.now(timezone.utc),
         sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
     )
-    title: str | None = Field(default=None, max_length=255)
-    persona_id: str | None = Field(default=None)
+    title: Optional[str] = Field(default=None, max_length=255)
+    persona_id: Optional[str] = Field(default=None)
 
     __table_args__ = (
         UniqueConstraint(
@@ -69,18 +73,16 @@ class Persona(SQLModel, table=True):
     It can be used to customize the behavior of LLMs.
     """
 
-    __tablename__: str = "personas"
+    __tablename__ = "personas"
 
     id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
+        primary_key=True, sa_column_kwargs={"autoincrement": True}, default=None
     )
     persona_id: str = Field(max_length=255, nullable=False)
     system_prompt: str = Field(sa_type=Text, nullable=False)
-    begin_dialogs: list | None = Field(default=None, sa_type=JSON)
+    begin_dialogs: Optional[list] = Field(default=None, sa_type=JSON)
     """a list of strings, each representing a dialog to start with"""
-    tools: list | None = Field(default=None, sa_type=JSON)
+    tools: Optional[list] = Field(default=None, sa_type=JSON)
     """None means use ALL tools for default, empty list means no tools, otherwise a list of tool names."""
     created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
     updated_at: datetime = Field(
@@ -99,12 +101,10 @@ class Persona(SQLModel, table=True):
 class Preference(SQLModel, table=True):
     """This class represents preferences for bots."""
 
-    __tablename__: str = "preferences"
+    __tablename__ = "preferences"
 
     id: int | None = Field(
-        default=None,
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
+        default=None, primary_key=True, sa_column_kwargs={"autoincrement": True}
     )
     scope: str = Field(nullable=False)
     """Scope of the preference, such as 'global', 'umo', 'plugin'."""
@@ -135,18 +135,16 @@ class PlatformMessageHistory(SQLModel, table=True):
     or platform-specific messages.
     """
 
-    __tablename__: str = "platform_message_history"
+    __tablename__ = "platform_message_history"
 
     id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
+        primary_key=True, sa_column_kwargs={"autoincrement": True}, default=None
     )
     platform_id: str = Field(nullable=False)
     user_id: str = Field(nullable=False)  # An id of group, user in platform
-    sender_id: str | None = Field(default=None)  # ID of the sender in the platform
-    sender_name: str | None = Field(
-        default=None,
+    sender_id: Optional[str] = Field(default=None)  # ID of the sender in the platform
+    sender_name: Optional[str] = Field(
+        default=None
     )  # Name of the sender in the platform
     content: dict = Field(sa_type=JSON, nullable=False)  # a message chain list
     created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
@@ -156,60 +154,16 @@ class PlatformMessageHistory(SQLModel, table=True):
     )
 
 
-class PlatformSession(SQLModel, table=True):
-    """Platform session table for managing user sessions across different platforms.
-
-    A session represents a chat window for a specific user on a specific platform.
-    Each session can have multiple conversations (对话) associated with it.
-    """
-
-    __tablename__: str = "platform_sessions"
-
-    inner_id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
-    )
-    session_id: str = Field(
-        max_length=100,
-        nullable=False,
-        unique=True,
-        default_factory=lambda: str(uuid.uuid4()),
-    )
-    platform_id: str = Field(default="webchat", nullable=False)
-    """Platform identifier (e.g., 'webchat', 'qq', 'discord')"""
-    creator: str = Field(nullable=False)
-    """Username of the session creator"""
-    display_name: str | None = Field(default=None, max_length=255)
-    """Display name for the session"""
-    is_group: int = Field(default=0, nullable=False)
-    """0 for private chat, 1 for group chat (not implemented yet)"""
-    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
-    updated_at: datetime = Field(
-        default_factory=lambda: datetime.now(timezone.utc),
-        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
-    )
-
-    __table_args__ = (
-        UniqueConstraint(
-            "session_id",
-            name="uix_platform_session_id",
-        ),
-    )
-
-
 class Attachment(SQLModel, table=True):
     """This class represents attachments for messages in AstrBot.
 
     Attachments can be images, files, or other media types.
     """
 
-    __tablename__: str = "attachments"
+    __tablename__ = "attachments"
 
     inner_attachment_id: int | None = Field(
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-        default=None,
+        primary_key=True, sa_column_kwargs={"autoincrement": True}, default=None
     )
     attachment_id: str = Field(
         max_length=36,
@@ -234,65 +188,6 @@ class Attachment(SQLModel, table=True):
     )
 
 
-class CommandConfig(SQLModel, table=True):
-    """Per-command configuration overrides for dashboard management."""
-
-    __tablename__ = "command_configs"  # type: ignore
-
-    handler_full_name: str = Field(
-        primary_key=True,
-        max_length=512,
-    )
-    plugin_name: str = Field(nullable=False, max_length=255)
-    module_path: str = Field(nullable=False, max_length=255)
-    original_command: str = Field(nullable=False, max_length=255)
-    resolved_command: str | None = Field(default=None, max_length=255)
-    enabled: bool = Field(default=True, nullable=False)
-    keep_original_alias: bool = Field(default=False, nullable=False)
-    conflict_key: str | None = Field(default=None, max_length=255)
-    resolution_strategy: str | None = Field(default=None, max_length=64)
-    note: str | None = Field(default=None, sa_type=Text)
-    extra_data: dict | None = Field(default=None, sa_type=JSON)
-    auto_managed: bool = Field(default=False, nullable=False)
-    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
-    updated_at: datetime = Field(
-        default_factory=lambda: datetime.now(timezone.utc),
-        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
-    )
-
-
-class CommandConflict(SQLModel, table=True):
-    """Conflict tracking for duplicated command names."""
-
-    __tablename__ = "command_conflicts"  # type: ignore
-
-    id: int | None = Field(
-        default=None, primary_key=True, sa_column_kwargs={"autoincrement": True}
-    )
-    conflict_key: str = Field(nullable=False, max_length=255)
-    handler_full_name: str = Field(nullable=False, max_length=512)
-    plugin_name: str = Field(nullable=False, max_length=255)
-    status: str = Field(default="pending", max_length=32)
-    resolution: str | None = Field(default=None, max_length=64)
-    resolved_command: str | None = Field(default=None, max_length=255)
-    note: str | None = Field(default=None, sa_type=Text)
-    extra_data: dict | None = Field(default=None, sa_type=JSON)
-    auto_generated: bool = Field(default=False, nullable=False)
-    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
-    updated_at: datetime = Field(
-        default_factory=lambda: datetime.now(timezone.utc),
-        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
-    )
-
-    __table_args__ = (
-        UniqueConstraint(
-            "conflict_key",
-            "handler_full_name",
-            name="uix_conflict_handler",
-        ),
-    )
-
-
 @dataclass
 class Conversation:
     """LLM 对话类
@@ -321,17 +216,17 @@ class Personality(TypedDict):
     在 v4.0.0 版本及之后，推荐使用上面的 Persona 类。并且， mood_imitation_dialogs 字段已被废弃。
     """
 
-    prompt: str
-    name: str
-    begin_dialogs: list[str]
-    mood_imitation_dialogs: list[str]
+    prompt: str = ""
+    name: str = ""
+    begin_dialogs: list[str] = []
+    mood_imitation_dialogs: list[str] = []
     """情感模拟对话预设。在 v4.0.0 版本及之后，已被废弃。"""
-    tools: list[str] | None
+    tools: list[str] | None = None
     """工具列表。None 表示使用所有工具，空列表表示不使用任何工具"""
 
     # cache
-    _begin_dialogs_processed: list[dict]
-    _mood_imitation_dialogs_processed: str
+    _begin_dialogs_processed: list[dict] = []
+    _mood_imitation_dialogs_processed: str = ""
 
 
 # ====

astrbot/core/db/sqlite.py

@@ -1,35 +1,24 @@
 import asyncio
-import threading
 import typing as T
-from collections.abc import Awaitable, Callable
-from datetime import datetime, timedelta, timezone
-
-from sqlalchemy import CursorResult
-from sqlalchemy.ext.asyncio import AsyncSession
-from sqlmodel import col, delete, desc, func, or_, select, text, update
-
+import threading
+from datetime import datetime, timedelta
 from astrbot.core.db import BaseDatabase
 from astrbot.core.db.po import (
-    Attachment,
-    CommandConfig,
-    CommandConflict,
     ConversationV2,
-    Persona,
-    PlatformMessageHistory,
-    PlatformSession,
     PlatformStat,
+    PlatformMessageHistory,
+    Attachment,
+    Persona,
     Preference,
+    Stats as DeprecatedStats,
+    Platform as DeprecatedPlatformStat,
     SQLModel,
 )
-from astrbot.core.db.po import (
-    Platform as DeprecatedPlatformStat,
-)
-from astrbot.core.db.po import (
-    Stats as DeprecatedStats,
-)
+
+from sqlmodel import select, update, delete, text, func, or_, desc, col
+from sqlalchemy.ext.asyncio import AsyncSession
 
 NOT_GIVEN = T.TypeVar("NOT_GIVEN")
-TxResult = T.TypeVar("TxResult")
 
 
 class SQLiteDatabase(BaseDatabase):
@@ -68,9 +57,7 @@ class SQLiteDatabase(BaseDatabase):
             async with session.begin():
                 if timestamp is None:
                     timestamp = datetime.now().replace(
-                        minute=0,
-                        second=0,
-                        microsecond=0,
+                        minute=0, second=0, microsecond=0
                     )
                 current_hour = timestamp
                 await session.execute(
@@ -94,13 +81,13 @@ class SQLiteDatabase(BaseDatabase):
             session: AsyncSession
             result = await session.execute(
                 select(func.count(col(PlatformStat.platform_id))).select_from(
-                    PlatformStat,
-                ),
+                    PlatformStat
+                )
             )
             count = result.scalar_one_or_none()
             return count if count is not None else 0
 
-    async def get_platform_stats(self, offset_sec: int = 86400) -> list[PlatformStat]:
+    async def get_platform_stats(self, offset_sec: int = 86400) -> T.List[PlatformStat]:
         """Get platform statistics within the specified offset in seconds and group by platform_id."""
         async with self.get_db() as session:
             session: AsyncSession
@@ -110,8 +97,8 @@ class SQLiteDatabase(BaseDatabase):
                 text("""
                 SELECT * FROM platform_stats
                 WHERE timestamp >= :start_time
-                GROUP BY platform_id
                 ORDER BY timestamp DESC
+                GROUP BY platform_id
                 """),
                 {"start_time": start_time},
             )
@@ -151,7 +138,7 @@ class SQLiteDatabase(BaseDatabase):
                 select(ConversationV2)
                 .order_by(desc(ConversationV2.created_at))
                 .offset(offset)
-                .limit(page_size),
+                .limit(page_size)
             )
             return result.scalars().all()
 
@@ -170,7 +157,7 @@ class SQLiteDatabase(BaseDatabase):
 
             if platform_ids:
                 base_query = base_query.where(
-                    col(ConversationV2.platform_id).in_(platform_ids),
+                    col(ConversationV2.platform_id).in_(platform_ids)
                 )
             if search_query:
                 search_query = search_query.encode("unicode_escape").decode("utf-8")
@@ -180,16 +167,16 @@ class SQLiteDatabase(BaseDatabase):
                         col(ConversationV2.content).ilike(f"%{search_query}%"),
                         col(ConversationV2.user_id).ilike(f"%{search_query}%"),
                         col(ConversationV2.conversation_id).ilike(f"%{search_query}%"),
-                    ),
+                    )
                 )
             if "message_types" in kwargs and len(kwargs["message_types"]) > 0:
                 for msg_type in kwargs["message_types"]:
                     base_query = base_query.where(
-                        col(ConversationV2.user_id).ilike(f"%:{msg_type}:%"),
+                        col(ConversationV2.user_id).ilike(f"%:{msg_type}:%")
                     )
             if "platforms" in kwargs and len(kwargs["platforms"]) > 0:
                 base_query = base_query.where(
-                    col(ConversationV2.platform_id).in_(kwargs["platforms"]),
+                    col(ConversationV2.platform_id).in_(kwargs["platforms"])
                 )
 
             # Get total count matching the filters
@@ -246,7 +233,7 @@ class SQLiteDatabase(BaseDatabase):
             session: AsyncSession
             async with session.begin():
                 query = update(ConversationV2).where(
-                    col(ConversationV2.conversation_id) == cid,
+                    col(ConversationV2.conversation_id) == cid
                 )
                 values = {}
                 if title is not None:
@@ -256,7 +243,7 @@ class SQLiteDatabase(BaseDatabase):
                 if content is not None:
                     values["content"] = content
                 if not values:
-                    return None
+                    return
                 query = query.values(**values)
                 await session.execute(query)
         return await self.get_conversation_by_id(cid)
@@ -267,8 +254,8 @@ class SQLiteDatabase(BaseDatabase):
             async with session.begin():
                 await session.execute(
                     delete(ConversationV2).where(
-                        col(ConversationV2.conversation_id) == cid,
-                    ),
+                        col(ConversationV2.conversation_id) == cid
+                    )
                 )
 
     async def delete_conversations_by_user_id(self, user_id: str) -> None:
@@ -276,9 +263,7 @@ class SQLiteDatabase(BaseDatabase):
             session: AsyncSession
             async with session.begin():
                 await session.execute(
-                    delete(ConversationV2).where(
-                        col(ConversationV2.user_id) == user_id
-                    ),
+                    delete(ConversationV2).where(col(ConversationV2.user_id) == user_id)
                 )
 
     async def get_session_conversations(
@@ -297,7 +282,7 @@ class SQLiteDatabase(BaseDatabase):
                 select(
                     col(Preference.scope_id).label("session_id"),
                     func.json_extract(Preference.value, "$.val").label(
-                        "conversation_id",
+                        "conversation_id"
                     ),  # type: ignore
                     col(ConversationV2.persona_id).label("persona_id"),
                     col(ConversationV2.title).label("title"),
@@ -310,8 +295,7 @@ class SQLiteDatabase(BaseDatabase):
                     == ConversationV2.conversation_id,
                 )
                 .outerjoin(
-                    Persona,
-                    col(ConversationV2.persona_id) == Persona.persona_id,
+                    Persona, col(ConversationV2.persona_id) == Persona.persona_id
                 )
                 .where(Preference.scope == "umo", Preference.key == "sel_conv_id")
             )
@@ -324,14 +308,14 @@ class SQLiteDatabase(BaseDatabase):
                         col(Preference.scope_id).ilike(search_pattern),
                         col(ConversationV2.title).ilike(search_pattern),
                         col(Persona.persona_id).ilike(search_pattern),
-                    ),
+                    )
                 )
 
             # 平台筛选
             if platform:
                 platform_pattern = f"{platform}:%"
                 base_query = base_query.where(
-                    col(Preference.scope_id).like(platform_pattern),
+                    col(Preference.scope_id).like(platform_pattern)
                 )
 
             # 排序
@@ -352,8 +336,7 @@ class SQLiteDatabase(BaseDatabase):
                     == ConversationV2.conversation_id,
                 )
                 .outerjoin(
-                    Persona,
-                    col(ConversationV2.persona_id) == Persona.persona_id,
+                    Persona, col(ConversationV2.persona_id) == Persona.persona_id
                 )
                 .where(Preference.scope == "umo", Preference.key == "sel_conv_id")
             )
@@ -366,13 +349,13 @@ class SQLiteDatabase(BaseDatabase):
                         col(Preference.scope_id).ilike(search_pattern),
                         col(ConversationV2.title).ilike(search_pattern),
                         col(Persona.persona_id).ilike(search_pattern),
-                    ),
+                    )
                 )
 
             if platform:
                 platform_pattern = f"{platform}:%"
                 count_base_query = count_base_query.where(
-                    col(Preference.scope_id).like(platform_pattern),
+                    col(Preference.scope_id).like(platform_pattern)
                 )
 
             total_result = await session.execute(count_base_query)
@@ -413,12 +396,9 @@ class SQLiteDatabase(BaseDatabase):
                 return new_history
 
     async def delete_platform_message_offset(
-        self,
-        platform_id,
-        user_id,
-        offset_sec=86400,
+        self, platform_id, user_id, offset_sec=86400
     ):
-        """Delete platform message history records newer than the specified offset."""
+        """Delete platform message history records older than the specified offset."""
         async with self.get_db() as session:
             session: AsyncSession
             async with session.begin():
@@ -428,16 +408,12 @@ class SQLiteDatabase(BaseDatabase):
                     delete(PlatformMessageHistory).where(
                         col(PlatformMessageHistory.platform_id) == platform_id,
                         col(PlatformMessageHistory.user_id) == user_id,
-                        col(PlatformMessageHistory.created_at) >= cutoff_time,
-                    ),
+                        col(PlatformMessageHistory.created_at) < cutoff_time,
+                    )
                 )
 
     async def get_platform_message_history(
-        self,
-        platform_id,
-        user_id,
-        page=1,
-        page_size=20,
+        self, platform_id, user_id, page=1, page_size=20
     ):
         """Get platform message history records."""
         async with self.get_db() as session:
@@ -454,18 +430,6 @@ class SQLiteDatabase(BaseDatabase):
             result = await session.execute(query.offset(offset).limit(page_size))
             return result.scalars().all()
 
-    async def get_platform_message_history_by_id(
-        self, message_id: int
-    ) -> PlatformMessageHistory | None:
-        """Get a platform message history record by its ID."""
-        async with self.get_db() as session:
-            session: AsyncSession
-            query = select(PlatformMessageHistory).where(
-                PlatformMessageHistory.id == message_id
-            )
-            result = await session.execute(query)
-            return result.scalar_one_or_none()
-
     async def insert_attachment(self, path, type, mime_type):
         """Insert a new attachment record."""
         async with self.get_db() as session:
@@ -487,54 +451,8 @@ class SQLiteDatabase(BaseDatabase):
             result = await session.execute(query)
             return result.scalar_one_or_none()
 
-    async def get_attachments(self, attachment_ids: list[str]) -> list:
-        """Get multiple attachments by their IDs."""
-        if not attachment_ids:
-            return []
-        async with self.get_db() as session:
-            session: AsyncSession
-            query = select(Attachment).where(
-                col(Attachment.attachment_id).in_(attachment_ids)
-            )
-            result = await session.execute(query)
-            return list(result.scalars().all())
-
-    async def delete_attachment(self, attachment_id: str) -> bool:
-        """Delete an attachment by its ID.
-
-        Returns True if the attachment was deleted, False if it was not found.
-        """
-        async with self.get_db() as session:
-            session: AsyncSession
-            async with session.begin():
-                query = delete(Attachment).where(
-                    col(Attachment.attachment_id) == attachment_id
-                )
-                result = T.cast(CursorResult, await session.execute(query))
-                return result.rowcount > 0
-
-    async def delete_attachments(self, attachment_ids: list[str]) -> int:
-        """Delete multiple attachments by their IDs.
-
-        Returns the number of attachments deleted.
-        """
-        if not attachment_ids:
-            return 0
-        async with self.get_db() as session:
-            session: AsyncSession
-            async with session.begin():
-                query = delete(Attachment).where(
-                    col(Attachment.attachment_id).in_(attachment_ids)
-                )
-                result = T.cast(CursorResult, await session.execute(query))
-                return result.rowcount
-
     async def insert_persona(
-        self,
-        persona_id,
-        system_prompt,
-        begin_dialogs=None,
-        tools=None,
+        self, persona_id, system_prompt, begin_dialogs=None, tools=None
     ):
         """Insert a new persona record."""
         async with self.get_db() as session:
@@ -566,11 +484,7 @@ class SQLiteDatabase(BaseDatabase):
             return result.scalars().all()
 
     async def update_persona(
-        self,
-        persona_id,
-        system_prompt=None,
-        begin_dialogs=None,
-        tools=NOT_GIVEN,
+        self, persona_id, system_prompt=None, begin_dialogs=None, tools=NOT_GIVEN
     ):
         """Update a persona's system prompt or begin dialogs."""
         async with self.get_db() as session:
@@ -585,7 +499,7 @@ class SQLiteDatabase(BaseDatabase):
                 if tools is not NOT_GIVEN:
                     values["tools"] = tools
                 if not values:
-                    return None
+                    return
                 query = query.values(**values)
                 await session.execute(query)
         return await self.get_persona_by_id(persona_id)
@@ -596,7 +510,7 @@ class SQLiteDatabase(BaseDatabase):
             session: AsyncSession
             async with session.begin():
                 await session.execute(
-                    delete(Persona).where(col(Persona.persona_id) == persona_id),
+                    delete(Persona).where(col(Persona.persona_id) == persona_id)
                 )
 
     async def insert_preference_or_update(self, scope, scope_id, key, value):
@@ -615,10 +529,7 @@ class SQLiteDatabase(BaseDatabase):
                     existing_preference.value = value
                 else:
                     new_preference = Preference(
-                        scope=scope,
-                        scope_id=scope_id,
-                        key=key,
-                        value=value,
+                        scope=scope, scope_id=scope_id, key=key, value=value
                     )
                     session.add(new_preference)
                 return existing_preference or new_preference
@@ -657,7 +568,7 @@ class SQLiteDatabase(BaseDatabase):
                         col(Preference.scope) == scope,
                         col(Preference.scope_id) == scope_id,
                         col(Preference.key) == key,
-                    ),
+                    )
                 )
             await session.commit()
 
@@ -670,246 +581,10 @@ class SQLiteDatabase(BaseDatabase):
                     delete(Preference).where(
                         col(Preference.scope) == scope,
                         col(Preference.scope_id) == scope_id,
-                    ),
+                    )
                 )
             await session.commit()
 
-    # ====
-    # Command Configuration & Conflict Tracking
-    # ====
-
-    async def _run_in_tx(
-        self,
-        fn: Callable[[AsyncSession], Awaitable[TxResult]],
-    ) -> TxResult:
-        async with self.get_db() as session:
-            session: AsyncSession
-            async with session.begin():
-                return await fn(session)
-
-    @staticmethod
-    def _apply_updates(model, **updates) -> None:
-        for field, value in updates.items():
-            if value is not None:
-                setattr(model, field, value)
-
-    @staticmethod
-    def _new_command_config(
-        handler_full_name: str,
-        plugin_name: str,
-        module_path: str,
-        original_command: str,
-        *,
-        resolved_command: str | None = None,
-        enabled: bool | None = None,
-        keep_original_alias: bool | None = None,
-        conflict_key: str | None = None,
-        resolution_strategy: str | None = None,
-        note: str | None = None,
-        extra_data: dict | None = None,
-        auto_managed: bool | None = None,
-    ) -> CommandConfig:
-        return CommandConfig(
-            handler_full_name=handler_full_name,
-            plugin_name=plugin_name,
-            module_path=module_path,
-            original_command=original_command,
-            resolved_command=resolved_command,
-            enabled=True if enabled is None else enabled,
-            keep_original_alias=False
-            if keep_original_alias is None
-            else keep_original_alias,
-            conflict_key=conflict_key or original_command,
-            resolution_strategy=resolution_strategy,
-            note=note,
-            extra_data=extra_data,
-            auto_managed=bool(auto_managed),
-        )
-
-    @staticmethod
-    def _new_command_conflict(
-        conflict_key: str,
-        handler_full_name: str,
-        plugin_name: str,
-        *,
-        status: str | None = None,
-        resolution: str | None = None,
-        resolved_command: str | None = None,
-        note: str | None = None,
-        extra_data: dict | None = None,
-        auto_generated: bool | None = None,
-    ) -> CommandConflict:
-        return CommandConflict(
-            conflict_key=conflict_key,
-            handler_full_name=handler_full_name,
-            plugin_name=plugin_name,
-            status=status or "pending",
-            resolution=resolution,
-            resolved_command=resolved_command,
-            note=note,
-            extra_data=extra_data,
-            auto_generated=bool(auto_generated),
-        )
-
-    async def get_command_configs(self) -> list[CommandConfig]:
-        async with self.get_db() as session:
-            session: AsyncSession
-            result = await session.execute(select(CommandConfig))
-            return list(result.scalars().all())
-
-    async def get_command_config(
-        self,
-        handler_full_name: str,
-    ) -> CommandConfig | None:
-        async with self.get_db() as session:
-            session: AsyncSession
-            return await session.get(CommandConfig, handler_full_name)
-
-    async def upsert_command_config(
-        self,
-        handler_full_name: str,
-        plugin_name: str,
-        module_path: str,
-        original_command: str,
-        *,
-        resolved_command: str | None = None,
-        enabled: bool | None = None,
-        keep_original_alias: bool | None = None,
-        conflict_key: str | None = None,
-        resolution_strategy: str | None = None,
-        note: str | None = None,
-        extra_data: dict | None = None,
-        auto_managed: bool | None = None,
-    ) -> CommandConfig:
-        async def _op(session: AsyncSession) -> CommandConfig:
-            config = await session.get(CommandConfig, handler_full_name)
-            if not config:
-                config = self._new_command_config(
-                    handler_full_name,
-                    plugin_name,
-                    module_path,
-                    original_command,
-                    resolved_command=resolved_command,
-                    enabled=enabled,
-                    keep_original_alias=keep_original_alias,
-                    conflict_key=conflict_key,
-                    resolution_strategy=resolution_strategy,
-                    note=note,
-                    extra_data=extra_data,
-                    auto_managed=auto_managed,
-                )
-                session.add(config)
-            else:
-                self._apply_updates(
-                    config,
-                    plugin_name=plugin_name,
-                    module_path=module_path,
-                    original_command=original_command,
-                    resolved_command=resolved_command,
-                    enabled=enabled,
-                    keep_original_alias=keep_original_alias,
-                    conflict_key=conflict_key,
-                    resolution_strategy=resolution_strategy,
-                    note=note,
-                    extra_data=extra_data,
-                    auto_managed=auto_managed,
-                )
-            await session.flush()
-            await session.refresh(config)
-            return config
-
-        return await self._run_in_tx(_op)
-
-    async def delete_command_config(self, handler_full_name: str) -> None:
-        await self.delete_command_configs([handler_full_name])
-
-    async def delete_command_configs(self, handler_full_names: list[str]) -> None:
-        if not handler_full_names:
-            return
-
-        async def _op(session: AsyncSession) -> None:
-            await session.execute(
-                delete(CommandConfig).where(
-                    col(CommandConfig.handler_full_name).in_(handler_full_names),
-                ),
-            )
-
-        await self._run_in_tx(_op)
-
-    async def list_command_conflicts(
-        self,
-        status: str | None = None,
-    ) -> list[CommandConflict]:
-        async with self.get_db() as session:
-            session: AsyncSession
-            query = select(CommandConflict)
-            if status:
-                query = query.where(CommandConflict.status == status)
-            result = await session.execute(query)
-            return list(result.scalars().all())
-
-    async def upsert_command_conflict(
-        self,
-        conflict_key: str,
-        handler_full_name: str,
-        plugin_name: str,
-        *,
-        status: str | None = None,
-        resolution: str | None = None,
-        resolved_command: str | None = None,
-        note: str | None = None,
-        extra_data: dict | None = None,
-        auto_generated: bool | None = None,
-    ) -> CommandConflict:
-        async def _op(session: AsyncSession) -> CommandConflict:
-            result = await session.execute(
-                select(CommandConflict).where(
-                    CommandConflict.conflict_key == conflict_key,
-                    CommandConflict.handler_full_name == handler_full_name,
-                ),
-            )
-            record = result.scalar_one_or_none()
-            if not record:
-                record = self._new_command_conflict(
-                    conflict_key,
-                    handler_full_name,
-                    plugin_name,
-                    status=status,
-                    resolution=resolution,
-                    resolved_command=resolved_command,
-                    note=note,
-                    extra_data=extra_data,
-                    auto_generated=auto_generated,
-                )
-                session.add(record)
-            else:
-                self._apply_updates(
-                    record,
-                    plugin_name=plugin_name,
-                    status=status,
-                    resolution=resolution,
-                    resolved_command=resolved_command,
-                    note=note,
-                    extra_data=extra_data,
-                    auto_generated=auto_generated,
-                )
-            await session.flush()
-            await session.refresh(record)
-            return record
-
-        return await self._run_in_tx(_op)
-
-    async def delete_command_conflicts(self, ids: list[int]) -> None:
-        if not ids:
-            return
-
-        async def _op(session: AsyncSession) -> None:
-            await session.execute(
-                delete(CommandConflict).where(col(CommandConflict.id).in_(ids)),
-            )
-
-        await self._run_in_tx(_op)
-
     # ====
     # Deprecated Methods
     # ====
@@ -923,7 +598,7 @@ class SQLiteDatabase(BaseDatabase):
                 now = datetime.now()
                 start_time = now - timedelta(seconds=offset_sec)
                 result = await session.execute(
-                    select(PlatformStat).where(PlatformStat.timestamp >= start_time),
+                    select(PlatformStat).where(PlatformStat.timestamp >= start_time)
                 )
                 all_datas = result.scalars().all()
                 deprecated_stats = DeprecatedStats()
@@ -933,7 +608,7 @@ class SQLiteDatabase(BaseDatabase):
                             name=data.platform_id,
                             count=data.count,
                             timestamp=int(data.timestamp.timestamp()),
-                        ),
+                        )
                     )
                 return deprecated_stats
 
@@ -955,7 +630,7 @@ class SQLiteDatabase(BaseDatabase):
             async with self.get_db() as session:
                 session: AsyncSession
                 result = await session.execute(
-                    select(func.sum(PlatformStat.count)).select_from(PlatformStat),
+                    select(func.sum(PlatformStat.count)).select_from(PlatformStat)
                 )
                 total_count = result.scalar_one_or_none()
                 return total_count if total_count is not None else 0
@@ -981,7 +656,7 @@ class SQLiteDatabase(BaseDatabase):
                 result = await session.execute(
                     select(PlatformStat.platform_id, func.sum(PlatformStat.count))
                     .where(PlatformStat.timestamp >= start_time)
-                    .group_by(PlatformStat.platform_id),
+                    .group_by(PlatformStat.platform_id)
                 )
                 grouped_stats = result.all()
                 deprecated_stats = DeprecatedStats()
@@ -991,7 +666,7 @@ class SQLiteDatabase(BaseDatabase):
                             name=platform_id,
                             count=count,
                             timestamp=int(start_time.timestamp()),
-                        ),
+                        )
                     )
                 return deprecated_stats
 
@@ -1005,101 +680,3 @@ class SQLiteDatabase(BaseDatabase):
         t.start()
         t.join()
         return result
-
-    # ====
-    # Platform Session Management
-    # ====
-
-    async def create_platform_session(
-        self,
-        creator: str,
-        platform_id: str = "webchat",
-        session_id: str | None = None,
-        display_name: str | None = None,
-        is_group: int = 0,
-    ) -> PlatformSession:
-        """Create a new Platform session."""
-        kwargs = {}
-        if session_id:
-            kwargs["session_id"] = session_id
-
-        async with self.get_db() as session:
-            session: AsyncSession
-            async with session.begin():
-                new_session = PlatformSession(
-                    creator=creator,
-                    platform_id=platform_id,
-                    display_name=display_name,
-                    is_group=is_group,
-                    **kwargs,
-                )
-                session.add(new_session)
-                await session.flush()
-                await session.refresh(new_session)
-                return new_session
-
-    async def get_platform_session_by_id(
-        self, session_id: str
-    ) -> PlatformSession | None:
-        """Get a Platform session by its ID."""
-        async with self.get_db() as session:
-            session: AsyncSession
-            query = select(PlatformSession).where(
-                PlatformSession.session_id == session_id,
-            )
-            result = await session.execute(query)
-            return result.scalar_one_or_none()
-
-    async def get_platform_sessions_by_creator(
-        self,
-        creator: str,
-        platform_id: str | None = None,
-        page: int = 1,
-        page_size: int = 20,
-    ) -> list[PlatformSession]:
-        """Get all Platform sessions for a specific creator (username) and optionally platform."""
-        async with self.get_db() as session:
-            session: AsyncSession
-            offset = (page - 1) * page_size
-            query = select(PlatformSession).where(PlatformSession.creator == creator)
-
-            if platform_id:
-                query = query.where(PlatformSession.platform_id == platform_id)
-
-            query = (
-                query.order_by(desc(PlatformSession.updated_at))
-                .offset(offset)
-                .limit(page_size)
-            )
-            result = await session.execute(query)
-            return list(result.scalars().all())
-
-    async def update_platform_session(
-        self,
-        session_id: str,
-        display_name: str | None = None,
-    ) -> None:
-        """Update a Platform session's updated_at timestamp and optionally display_name."""
-        async with self.get_db() as session:
-            session: AsyncSession
-            async with session.begin():
-                values: dict[str, T.Any] = {"updated_at": datetime.now(timezone.utc)}
-                if display_name is not None:
-                    values["display_name"] = display_name
-
-                await session.execute(
-                    update(PlatformSession)
-                    .where(col(PlatformSession.session_id) == session_id)
-                    .values(**values),
-                )
-
-    async def delete_platform_session(self, session_id: str) -> None:
-        """Delete a Platform session by its ID."""
-        async with self.get_db() as session:
-            session: AsyncSession
-            async with session.begin():
-                await session.execute(
-                    delete(PlatformSession).where(
-                        col(PlatformSession.session_id) == session_id,
-                    ),
-                )

astrbot/core/db/vec_db/base.py

@@ -10,47 +10,22 @@ class Result:
 
 class BaseVecDB:
     async def initialize(self):
-        """初始化向量数据库"""
+        """
+        初始化向量数据库
+        """
+        pass
 
     @abc.abstractmethod
-    async def insert(
-        self,
-        content: str,
-        metadata: dict | None = None,
-        id: str | None = None,
-    ) -> int:
-        """插入一条文本和其对应向量，自动生成 ID 并保持一致性。"""
-        ...
-
-    @abc.abstractmethod
-    async def insert_batch(
-        self,
-        contents: list[str],
-        metadatas: list[dict] | None = None,
-        ids: list[str] | None = None,
-        batch_size: int = 32,
-        tasks_limit: int = 3,
-        max_retries: int = 3,
-        progress_callback=None,
-    ) -> int:
-        """批量插入文本和其对应向量，自动生成 ID 并保持一致性。
-
-        Args:
-            progress_callback: 进度回调函数，接收参数 (current, total)
-
+    async def insert(self, content: str, metadata: dict = None, id: str = None) -> int:
+        """
+        插入一条文本和其对应向量，自动生成 ID 并保持一致性。
         """
         ...
 
     @abc.abstractmethod
-    async def retrieve(
-        self,
-        query: str,
-        top_k: int = 5,
-        fetch_k: int = 20,
-        rerank: bool = False,
-        metadata_filters: dict | None = None,
-    ) -> list[Result]:
-        """搜索最相似的文档。
+    async def retrieve(self, query: str, top_k: int = 5) -> list[Result]:
+        """
+        搜索最相似的文档。
         Args:
             query (str): 查询文本
             top_k (int): 返回的最相似文档的数量
@@ -61,13 +36,11 @@ class BaseVecDB:
 
     @abc.abstractmethod
     async def delete(self, doc_id: str) -> bool:
-        """删除指定文档。
+        """
+        删除指定文档。
         Args:
             doc_id (str): 要删除的文档 ID
         Returns:
             bool: 删除是否成功
         """
         ...
-
-    @abc.abstractmethod
-    async def close(self): ...

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

@@ -1,232 +1,59 @@
-import json
+import aiosqlite
 import os
-from contextlib import asynccontextmanager
-from datetime import datetime
-
-from sqlalchemy import Column, Text
-from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, create_async_engine
-from sqlalchemy.orm import sessionmaker
-from sqlmodel import Field, MetaData, SQLModel, col, func, select, text
-
-from astrbot.core import logger
-
-
-class BaseDocModel(SQLModel, table=False):
-    metadata = MetaData()
-
-
-class Document(BaseDocModel, table=True):
-    """SQLModel for documents table."""
-
-    __tablename__ = "documents"  # type: ignore
-
-    id: int | None = Field(
-        default=None,
-        primary_key=True,
-        sa_column_kwargs={"autoincrement": True},
-    )
-    doc_id: str = Field(nullable=False)
-    text: str = Field(nullable=False)
-    metadata_: str | None = Field(default=None, sa_column=Column("metadata", Text))
-    created_at: datetime | None = Field(default=None)
-    updated_at: datetime | None = Field(default=None)
 
 
 class DocumentStorage:
     def __init__(self, db_path: str):
         self.db_path = db_path
-        self.DATABASE_URL = f"sqlite+aiosqlite:///{db_path}"
-        self.engine: AsyncEngine | None = None
-        self.async_session_maker: sessionmaker | None = None
+        self.connection = None
         self.sqlite_init_path = os.path.join(
-            os.path.dirname(__file__),
-            "sqlite_init.sql",
+            os.path.dirname(__file__), "sqlite_init.sql"
         )
 
     async def initialize(self):
         """Initialize the SQLite database and create the documents table if it doesn't exist."""
-        await self.connect()
-        async with self.engine.begin() as conn:  # type: ignore
-            # Create tables using SQLModel
-            await conn.run_sync(BaseDocModel.metadata.create_all)
-
-            try:
-                await conn.execute(
-                    text(
-                        "ALTER TABLE documents ADD COLUMN kb_doc_id TEXT "
-                        "GENERATED ALWAYS AS (json_extract(metadata, '$.kb_doc_id')) STORED",
-                    ),
-                )
-                await conn.execute(
-                    text(
-                        "ALTER TABLE documents ADD COLUMN user_id TEXT "
-                        "GENERATED ALWAYS AS (json_extract(metadata, '$.user_id')) STORED",
-                    ),
-                )
-
-                # Create indexes
-                await conn.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_documents_kb_doc_id ON documents(kb_doc_id)",
-                    ),
-                )
-                await conn.execute(
-                    text(
-                        "CREATE INDEX IF NOT EXISTS idx_documents_user_id ON documents(user_id)",
-                    ),
-                )
-            except BaseException:
-                pass
-
-            await conn.commit()
+        if not os.path.exists(self.db_path):
+            await self.connect()
+            async with self.connection.cursor() as cursor:
+                with open(self.sqlite_init_path, "r", encoding="utf-8") as f:
+                    sql_script = f.read()
+                await cursor.executescript(sql_script)
+            await self.connection.commit()
+        else:
+            await self.connect()
 
     async def connect(self):
         """Connect to the SQLite database."""
-        if self.engine is None:
-            self.engine = create_async_engine(
-                self.DATABASE_URL,
-                echo=False,
-                future=True,
-            )
-            self.async_session_maker = sessionmaker(
-                self.engine,  # type: ignore
-                class_=AsyncSession,
-                expire_on_commit=False,
-            )  # type: ignore
+        self.connection = await aiosqlite.connect(self.db_path)
 
-    @asynccontextmanager
-    async def get_session(self):
-        """Context manager for database sessions."""
-        async with self.async_session_maker() as session:  # type: ignore
-            yield session
-
-    async def get_documents(
-        self,
-        metadata_filters: dict,
-        ids: list | None = None,
-        offset: int | None = 0,
-        limit: int | None = 100,
-    ) -> list[dict]:
+    async def get_documents(self, metadata_filters: dict, ids: list = None):
         """Retrieve documents by metadata filters and ids.
 
         Args:
             metadata_filters (dict): The metadata filters to apply.
-            ids (list | None): Optional list of document IDs to filter.
-            offset (int | None): Offset for pagination.
-            limit (int | None): Limit for pagination.
 
         Returns:
-            list: The list of documents that match the filters.
-
+            list: The list of document IDs(primary key, not doc_id) that match the filters.
         """
-        if self.engine is None:
-            logger.warning(
-                "Database connection is not initialized, returning empty result",
-            )
-            return []
+        # metadata filter -> SQL WHERE clause
+        where_clauses = []
+        values = []
+        for key, val in metadata_filters.items():
+            where_clauses.append(f"json_extract(metadata, '$.{key}') = ?")
+            values.append(val)
+        if ids is not None and len(ids) > 0:
+            ids = [str(i) for i in ids if i != -1]
+            where_clauses.append("id IN ({})".format(",".join("?" * len(ids))))
+            values.extend(ids)
+        where_sql = " AND ".join(where_clauses) or "1=1"
 
-        async with self.get_session() as session:
-            query = select(Document)
-
-            for key, val in metadata_filters.items():
-                query = query.where(
-                    text(f"json_extract(metadata, '$.{key}') = :filter_{key}"),
-                ).params(**{f"filter_{key}": val})
-
-            if ids is not None and len(ids) > 0:
-                valid_ids = [int(i) for i in ids if i != -1]
-                if valid_ids:
-                    query = query.where(col(Document.id).in_(valid_ids))
-
-            if limit is not None:
-                query = query.limit(limit)
-            if offset is not None:
-                query = query.offset(offset)
-
-            result = await session.execute(query)
-            documents = result.scalars().all()
-
-            return [self._document_to_dict(doc) for doc in documents]
-
-    async def insert_document(self, doc_id: str, text: str, metadata: dict) -> int:
-        """Insert a single document and return its integer ID.
-
-        Args:
-            doc_id (str): The document ID (UUID string).
-            text (str): The document text.
-            metadata (dict): The document metadata.
-
-        Returns:
-            int: The integer ID of the inserted document.
-
-        """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session, session.begin():
-            document = Document(
-                doc_id=doc_id,
-                text=text,
-                metadata_=json.dumps(metadata),
-                created_at=datetime.now(),
-                updated_at=datetime.now(),
-            )
-            session.add(document)
-            await session.flush()  # Flush to get the ID
-            return document.id  # type: ignore
-
-    async def insert_documents_batch(
-        self,
-        doc_ids: list[str],
-        texts: list[str],
-        metadatas: list[dict],
-    ) -> list[int]:
-        """Batch insert documents and return their integer IDs.
-
-        Args:
-            doc_ids (list[str]): List of document IDs (UUID strings).
-            texts (list[str]): List of document texts.
-            metadatas (list[dict]): List of document metadata.
-
-        Returns:
-            list[int]: List of integer IDs of the inserted documents.
-
-        """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session, session.begin():
-            import json
-
-            documents = []
-            for doc_id, text, metadata in zip(doc_ids, texts, metadatas):
-                document = Document(
-                    doc_id=doc_id,
-                    text=text,
-                    metadata_=json.dumps(metadata),
-                    created_at=datetime.now(),
-                    updated_at=datetime.now(),
-                )
-                documents.append(document)
-                session.add(document)
-
-            await session.flush()  # Flush to get all IDs
-            return [doc.id for doc in documents]  # type: ignore
-
-    async def delete_document_by_doc_id(self, doc_id: str):
-        """Delete a document by its doc_id.
-
-        Args:
-            doc_id (str): The doc_id of the document to delete.
-
-        """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session, session.begin():
-            query = select(Document).where(col(Document.doc_id) == doc_id)
-            result = await session.execute(query)
-            document = result.scalar_one_or_none()
-
-            if document:
-                await session.delete(document)
+        result = []
+        async with self.connection.cursor() as cursor:
+            sql = "SELECT * FROM documents WHERE " + where_sql
+            await cursor.execute(sql, values)
+            for row in await cursor.fetchall():
+                result.append(await self.tuple_to_dict(row))
+        return result
 
     async def get_document_by_doc_id(self, doc_id: str):
         """Retrieve a document by its doc_id.
@@ -235,134 +62,40 @@ class DocumentStorage:
             doc_id (str): The doc_id of the document to retrieve.
 
         Returns:
-            dict: The document data or None if not found.
-
+            dict: The document data.
         """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session:
-            query = select(Document).where(col(Document.doc_id) == doc_id)
-            result = await session.execute(query)
-            document = result.scalar_one_or_none()
-
-            if document:
-                return self._document_to_dict(document)
-            return None
+        async with self.connection.cursor() as cursor:
+            await cursor.execute("SELECT * FROM documents WHERE doc_id = ?", (doc_id,))
+            row = await cursor.fetchone()
+            if row:
+                return await self.tuple_to_dict(row)
+            else:
+                return None
 
     async def update_document_by_doc_id(self, doc_id: str, new_text: str):
-        """Update a document by its doc_id.
+        """Retrieve a document by its doc_id.
 
         Args:
             doc_id (str): The doc_id.
             new_text (str): The new text to update the document with.
-
         """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session, session.begin():
-            query = select(Document).where(col(Document.doc_id) == doc_id)
-            result = await session.execute(query)
-            document = result.scalar_one_or_none()
-
-            if document:
-                document.text = new_text
-                document.updated_at = datetime.now()
-                session.add(document)
-
-    async def delete_documents(self, metadata_filters: dict):
-        """Delete documents by their metadata filters.
-
-        Args:
-            metadata_filters (dict): The metadata filters to apply.
-
-        """
-        if self.engine is None:
-            logger.warning(
-                "Database connection is not initialized, skipping delete operation",
+        async with self.connection.cursor() as cursor:
+            await cursor.execute(
+                "UPDATE documents SET text = ? WHERE doc_id = ?", (new_text, doc_id)
             )
-            return
-
-        async with self.get_session() as session, session.begin():
-            query = select(Document)
-
-            for key, val in metadata_filters.items():
-                query = query.where(
-                    text(f"json_extract(metadata, '$.{key}') = :filter_{key}"),
-                ).params(**{f"filter_{key}": val})
-
-            result = await session.execute(query)
-            documents = result.scalars().all()
-
-            for doc in documents:
-                await session.delete(doc)
-
-    async def count_documents(self, metadata_filters: dict | None = None) -> int:
-        """Count documents in the database.
-
-        Args:
-            metadata_filters (dict | None): Metadata filters to apply.
-
-        Returns:
-            int: The count of documents.
-
-        """
-        if self.engine is None:
-            logger.warning("Database connection is not initialized, returning 0")
-            return 0
-
-        async with self.get_session() as session:
-            query = select(func.count(col(Document.id)))
-
-            if metadata_filters:
-                for key, val in metadata_filters.items():
-                    query = query.where(
-                        text(f"json_extract(metadata, '$.{key}') = :filter_{key}"),
-                    ).params(**{f"filter_{key}": val})
-
-            result = await session.execute(query)
-            count = result.scalar_one_or_none()
-            return count if count is not None else 0
+            await self.connection.commit()
 
     async def get_user_ids(self) -> list[str]:
         """Retrieve all user IDs from the documents table.
 
         Returns:
             list: A list of user IDs.
-
         """
-        assert self.engine is not None, "Database connection is not initialized."
-
-        async with self.get_session() as session:
-            query = text(
-                "SELECT DISTINCT user_id FROM documents WHERE user_id IS NOT NULL",
-            )
-            result = await session.execute(query)
-            rows = result.fetchall()
+        async with self.connection.cursor() as cursor:
+            await cursor.execute("SELECT DISTINCT user_id FROM documents")
+            rows = await cursor.fetchall()
             return [row[0] for row in rows]
 
-    def _document_to_dict(self, document: Document) -> dict:
-        """Convert a Document model to a dictionary.
-
-        Args:
-            document (Document): The document to convert.
-
-        Returns:
-            dict: The converted dictionary.
-
-        """
-        return {
-            "id": document.id,
-            "doc_id": document.doc_id,
-            "text": document.text,
-            "metadata": document.metadata_,
-            "created_at": document.created_at.isoformat()
-            if isinstance(document.created_at, datetime)
-            else document.created_at,
-            "updated_at": document.updated_at.isoformat()
-            if isinstance(document.updated_at, datetime)
-            else document.updated_at,
-        }
-
     async def tuple_to_dict(self, row):
         """Convert a tuple to a dictionary.
 
@@ -371,9 +104,6 @@ class DocumentStorage:
 
         Returns:
             dict: The converted dictionary.
-
-        Note: This method is kept for backward compatibility but is no longer used internally.
-
         """
         return {
             "id": row[0],
@@ -386,7 +116,6 @@ class DocumentStorage:
 
     async def close(self):
         """Close the connection to the SQLite database."""
-        if self.engine:
-            await self.engine.dispose()
-            self.engine = None
-            self.async_session_maker = None
+        if self.connection:
+            await self.connection.close()
+            self.connection = None

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

@@ -2,15 +2,14 @@ try:
     import faiss
 except ModuleNotFoundError:
     raise ImportError(
-        "faiss 未安装。请使用 'pip install faiss-cpu' 或 'pip install faiss-gpu' 安装。",
+        "faiss 未安装。请使用 'pip install faiss-cpu' 或 'pip install faiss-gpu' 安装。"
     )
 import os
-
 import numpy as np
 
 
 class EmbeddingStorage:
-    def __init__(self, dimension: int, path: str | None = None):
+    def __init__(self, dimension: int, path: str = None):
         self.dimension = dimension
         self.path = path
         self.index = None
@@ -19,6 +18,7 @@ class EmbeddingStorage:
         else:
             base_index = faiss.IndexFlatL2(dimension)
             self.index = faiss.IndexIDMap(base_index)
+        self.storage = {}
 
     async def insert(self, vector: np.ndarray, id: int):
         """插入向量
@@ -28,32 +28,13 @@ class EmbeddingStorage:
             id (int): 向量的ID
         Raises:
             ValueError: 如果向量的维度与存储的维度不匹配
-
         """
-        assert self.index is not None, "FAISS index is not initialized."
         if vector.shape[0] != self.dimension:
             raise ValueError(
-                f"向量维度不匹配, 期望: {self.dimension}, 实际: {vector.shape[0]}",
+                f"向量维度不匹配, 期望: {self.dimension}, 实际: {vector.shape[0]}"
             )
         self.index.add_with_ids(vector.reshape(1, -1), np.array([id]))
-        await self.save_index()
-
-    async def insert_batch(self, vectors: np.ndarray, ids: list[int]):
-        """批量插入向量
-
-        Args:
-            vectors (np.ndarray): 要插入的向量数组
-            ids (list[int]): 向量的ID列表
-        Raises:
-            ValueError: 如果向量的维度与存储的维度不匹配
-
-        """
-        assert self.index is not None, "FAISS index is not initialized."
-        if vectors.shape[1] != self.dimension:
-            raise ValueError(
-                f"向量维度不匹配, 期望: {self.dimension}, 实际: {vectors.shape[1]}",
-            )
-        self.index.add_with_ids(vectors, np.array(ids))
+        self.storage[id] = vector
         await self.save_index()
 
     async def search(self, vector: np.ndarray, k: int) -> tuple:
@@ -64,32 +45,15 @@ class EmbeddingStorage:
             k (int): 返回的最相似向量的数量
         Returns:
             tuple: (距离, 索引)
-
         """
-        assert self.index is not None, "FAISS index is not initialized."
         faiss.normalize_L2(vector)
         distances, indices = self.index.search(vector, k)
         return distances, indices
 
-    async def delete(self, ids: list[int]):
-        """删除向量
-
-        Args:
-            ids (list[int]): 要删除的向量ID列表
-
-        """
-        assert self.index is not None, "FAISS index is not initialized."
-        id_array = np.array(ids, dtype=np.int64)
-        self.index.remove_ids(id_array)
-        await self.save_index()
-
     async def save_index(self):
         """保存索引
 
         Args:
             path (str): 保存索引的路径
-
         """
-        if self.index is None:
-            return
         faiss.write_index(self.index, self.path)

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

@@ -1,18 +1,17 @@
-import time
 import uuid
-
+import json
 import numpy as np
-
-from astrbot import logger
-from astrbot.core.provider.provider import EmbeddingProvider, RerankProvider
-
-from ..base import BaseVecDB, Result
 from .document_storage import DocumentStorage
 from .embedding_storage import EmbeddingStorage
+from ..base import Result, BaseVecDB
+from astrbot.core.provider.provider import EmbeddingProvider
+from astrbot.core.provider.provider import RerankProvider
 
 
 class FaissVecDB(BaseVecDB):
-    """A class to represent a vector database."""
+    """
+    A class to represent a vector database.
+    """
 
     def __init__(
         self,
@@ -26,8 +25,7 @@ class FaissVecDB(BaseVecDB):
         self.embedding_provider = embedding_provider
         self.document_storage = DocumentStorage(doc_store_path)
         self.embedding_storage = EmbeddingStorage(
-            embedding_provider.get_dim(),
-            index_store_path,
+            embedding_provider.get_dim(), index_store_path
         )
         self.embedding_provider = embedding_provider
         self.rerank_provider = rerank_provider
@@ -36,69 +34,28 @@ class FaissVecDB(BaseVecDB):
         await self.document_storage.initialize()
 
     async def insert(
-        self,
-        content: str,
-        metadata: dict | None = None,
-        id: str | None = None,
+        self, content: str, metadata: dict | None = None, id: str | None = None
     ) -> int:
-        """插入一条文本和其对应向量，自动生成 ID 并保持一致性。"""
+        """
+        插入一条文本和其对应向量，自动生成 ID 并保持一致性。
+        """
         metadata = metadata or {}
         str_id = id or str(uuid.uuid4())  # 使用 UUID 作为原始 ID
 
         vector = await self.embedding_provider.get_embedding(content)
         vector = np.array(vector, dtype=np.float32)
+        async with self.document_storage.connection.cursor() as cursor:
+            await cursor.execute(
+                "INSERT INTO documents (doc_id, text, metadata) VALUES (?, ?, ?)",
+                (str_id, content, json.dumps(metadata)),
+            )
+            await self.document_storage.connection.commit()
+            result = await self.document_storage.get_document_by_doc_id(str_id)
+            int_id = result["id"]
 
-        # 使用 DocumentStorage 的方法插入文档
-        int_id = await self.document_storage.insert_document(str_id, content, metadata)
-
-        # 插入向量到 FAISS
-        await self.embedding_storage.insert(vector, int_id)
-        return int_id
-
-    async def insert_batch(
-        self,
-        contents: list[str],
-        metadatas: list[dict] | None = None,
-        ids: list[str] | None = None,
-        batch_size: int = 32,
-        tasks_limit: int = 3,
-        max_retries: int = 3,
-        progress_callback=None,
-    ) -> list[int]:
-        """批量插入文本和其对应向量，自动生成 ID 并保持一致性。
-
-        Args:
-            progress_callback: 进度回调函数，接收参数 (current, total)
-
-        """
-        metadatas = metadatas or [{} for _ in contents]
-        ids = ids or [str(uuid.uuid4()) for _ in contents]
-
-        start = time.time()
-        logger.debug(f"Generating embeddings for {len(contents)} contents...")
-        vectors = await self.embedding_provider.get_embeddings_batch(
-            contents,
-            batch_size=batch_size,
-            tasks_limit=tasks_limit,
-            max_retries=max_retries,
-            progress_callback=progress_callback,
-        )
-        end = time.time()
-        logger.debug(
-            f"Generated embeddings for {len(contents)} contents in {end - start:.2f} seconds.",
-        )
-
-        # 使用 DocumentStorage 的批量插入方法
-        int_ids = await self.document_storage.insert_documents_batch(
-            ids,
-            contents,
-            metadatas,
-        )
-
-        # 批量插入向量到 FAISS
-        vectors_array = np.array(vectors).astype("float32")
-        await self.embedding_storage.insert_batch(vectors_array, int_ids)
-        return int_ids
+            # 插入向量到 FAISS
+            await self.embedding_storage.insert(vector, int_id)
+            return int_id
 
     async def retrieve(
         self,
@@ -108,7 +65,8 @@ class FaissVecDB(BaseVecDB):
         rerank: bool = False,
         metadata_filters: dict | None = None,
     ) -> list[Result]:
-        """搜索最相似的文档。
+        """
+        搜索最相似的文档。
 
         Args:
             query (str): 查询文本
@@ -119,7 +77,6 @@ class FaissVecDB(BaseVecDB):
 
         Returns:
             List[Result]: 查询结果
-
         """
         embedding = await self.embedding_provider.get_embedding(query)
         scores, indices = await self.embedding_storage.search(
@@ -132,8 +89,7 @@ class FaissVecDB(BaseVecDB):
         scores[0] = 1.0 - (scores[0] / 2.0)
         # NOTE: maybe the size is less than k.
         fetched_docs = await self.document_storage.get_documents(
-            metadata_filters=metadata_filters or {},
-            ids=indices[0],
+            metadata_filters=metadata_filters or {}, ids=indices[0]
         )
         if not fetched_docs:
             return []
@@ -154,9 +110,7 @@ class FaissVecDB(BaseVecDB):
             documents = [doc.data["text"] for doc in top_k_results]
             reranked_results = await self.rerank_provider.rerank(query, documents)
             reranked_results = sorted(
-                reranked_results,
-                key=lambda x: x.relevance_score,
-                reverse=True,
+                reranked_results, key=lambda x: x.relevance_score, reverse=True
             )
             top_k_results = [
                 top_k_results[reranked_result.index]
@@ -165,40 +119,23 @@ class FaissVecDB(BaseVecDB):
 
         return top_k_results
 
-    async def delete(self, doc_id: str):
-        """删除一条文档块（chunk）"""
-        # 获得对应的 int id
-        result = await self.document_storage.get_document_by_doc_id(doc_id)
-        int_id = result["id"] if result else None
-        if int_id is None:
-            return
-
-        # 使用 DocumentStorage 的删除方法
-        await self.document_storage.delete_document_by_doc_id(doc_id)
-        await self.embedding_storage.delete([int_id])
+    async def delete(self, doc_id: int):
+        """
+        删除一条文档
+        """
+        await self.document_storage.connection.execute(
+            "DELETE FROM documents WHERE doc_id = ?", (doc_id,)
+        )
+        await self.document_storage.connection.commit()
 
     async def close(self):
         await self.document_storage.close()
 
-    async def count_documents(self, metadata_filter: dict | None = None) -> int:
-        """计算文档数量
-
-        Args:
-            metadata_filter (dict | None): 元数据过滤器
-
+    async def count_documents(self) -> int:
         """
-        count = await self.document_storage.count_documents(
-            metadata_filters=metadata_filter or {},
-        )
-        return count
-
-    async def delete_documents(self, metadata_filters: dict):
-        """根据元数据过滤器删除文档"""
-        docs = await self.document_storage.get_documents(
-            metadata_filters=metadata_filters,
-            offset=None,
-            limit=None,
-        )
-        doc_ids: list[int] = [doc["id"] for doc in docs]
-        await self.embedding_storage.delete(doc_ids)
-        await self.document_storage.delete_documents(metadata_filters=metadata_filters)
+        计算文档数量
+        """
+        async with self.document_storage.connection.cursor() as cursor:
+            await cursor.execute("SELECT COUNT(*) FROM documents")
+            count = await cursor.fetchone()
+            return count[0] if count else 0

astrbot/core/event_bus.py

@@ -1,4 +1,5 @@
-"""事件总线, 用于处理事件的分发和处理
+"""
+事件总线, 用于处理事件的分发和处理
 事件总线是一个异步队列, 用于接收各种消息事件, 并将其发送到Scheduler调度器进行处理
 其中包含了一个无限循环的调度函数, 用于从事件队列中获取新的事件, 并创建一个新的异步任务来执行管道调度器的处理逻辑
 
@@ -12,12 +13,10 @@ class:
 
 import asyncio
 from asyncio import Queue
-
-from astrbot.core import logger
-from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 from astrbot.core.pipeline.scheduler import PipelineScheduler
-
+from astrbot.core import logger
 from .platform import AstrMessageEvent
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
 
 
 class EventBus:
@@ -27,7 +26,7 @@ class EventBus:
         self,
         event_queue: Queue,
         pipeline_scheduler_mapping: dict[str, PipelineScheduler],
-        astrbot_config_mgr: AstrBotConfigManager,
+        astrbot_config_mgr: AstrBotConfigManager = None,
     ):
         self.event_queue = event_queue  # 事件队列
         # abconf uuid -> scheduler
@@ -40,11 +39,6 @@ class EventBus:
             conf_info = self.astrbot_config_mgr.get_conf_info(event.unified_msg_origin)
             self._print_event(event, conf_info["name"])
             scheduler = self.pipeline_scheduler_mapping.get(conf_info["id"])
-            if not scheduler:
-                logger.error(
-                    f"PipelineScheduler not found for id: {conf_info['id']}, event ignored."
-                )
-                continue
             asyncio.create_task(scheduler.execute(event))
 
     def _print_event(self, event: AstrMessageEvent, conf_name: str):
@@ -52,15 +46,14 @@ class EventBus:
 
         Args:
             event (AstrMessageEvent): 事件对象
-
         """
         # 如果有发送者名称: [平台名] 发送者名称/发送者ID: 消息概要
         if event.get_sender_name():
             logger.info(
-                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_name()}/{event.get_sender_id()}: {event.get_message_outline()}",
+                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_name()}/{event.get_sender_id()}: {event.get_message_outline()}"
             )
         # 没有发送者名称: [平台名] 发送者ID: 消息概要
         else:
             logger.info(
-                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_id()}: {event.get_message_outline()}",
+                f"[{conf_name}] [{event.get_platform_id()}({event.get_platform_name()})] {event.get_sender_id()}: {event.get_message_outline()}"
             )

astrbot/core/exceptions.py

@@ -1,9 +0,0 @@
-from __future__ import annotations
-
-
-class AstrBotError(Exception):
-    """Base exception for all AstrBot errors."""
-
-
-class ProviderNotFoundError(AstrBotError):
-    """Raised when a specified provider is not found."""

astrbot/core/file_token_service.py

@@ -1,9 +1,9 @@
 import asyncio
 import os
-import platform
-import time
 import uuid
-from urllib.parse import unquote, urlparse
+import time
+from urllib.parse import urlparse, unquote
+import platform
 
 
 class FileTokenService:
@@ -23,12 +23,7 @@ class FileTokenService:
         for token in expired_tokens:
             self.staged_files.pop(token, None)
 
-    async def check_token_expired(self, file_token: str) -> bool:
-        async with self.lock:
-            await self._cleanup_expired_tokens()
-            return file_token not in self.staged_files
-
-    async def register_file(self, file_path: str, timeout: float | None = None) -> str:
+    async def register_file(self, file_path: str, timeout: float = None) -> str:
         """向令牌服务注册一个文件。
 
         Args:
@@ -40,8 +35,8 @@ class FileTokenService:
 
         Raises:
             FileNotFoundError: 当路径不存在时抛出
-
         """
+
         # 处理 file:///
         try:
             parsed_uri = urlparse(file_path)
@@ -61,7 +56,7 @@ class FileTokenService:
 
             if not os.path.exists(local_path):
                 raise FileNotFoundError(
-                    f"文件不存在: {local_path} (原始输入: {file_path})",
+                    f"文件不存在: {local_path} (原始输入: {file_path})"
                 )
 
             file_token = str(uuid.uuid4())
@@ -84,7 +79,6 @@ class FileTokenService:
         Raises:
             KeyError: 当令牌不存在或已过期时抛出
             FileNotFoundError: 当文件本身已被删除时抛出
-
         """
         async with self.lock:
             await self._cleanup_expired_tokens()

astrbot/core/initial_loader.py

@@ -1,4 +1,5 @@
-"""AstrBot 启动器，负责初始化和启动核心组件和仪表板服务器。
+"""
+AstrBot 启动器，负责初始化和启动核心组件和仪表板服务器。
 
 工作流程:
 1. 初始化核心生命周期, 传递数据库和日志代理实例到核心生命周期
@@ -7,10 +8,10 @@
 
 import asyncio
 import traceback
-
-from astrbot.core import LogBroker, logger
+from astrbot.core import logger
 from astrbot.core.core_lifecycle import AstrBotCoreLifecycle
 from astrbot.core.db import BaseDatabase
+from astrbot.core import LogBroker
 from astrbot.dashboard.server import AstrBotDashboard
 
 
@@ -38,18 +39,12 @@ class InitialLoader:
         webui_dir = self.webui_dir
 
         self.dashboard_server = AstrBotDashboard(
-            core_lifecycle,
-            self.db,
-            core_lifecycle.dashboard_shutdown_event,
-            webui_dir,
+            core_lifecycle, self.db, core_lifecycle.dashboard_shutdown_event, webui_dir
         )
+        task = asyncio.gather(
+            core_task, self.dashboard_server.run()
+        )  # 启动核心任务和仪表板服务器
 
-        coro = self.dashboard_server.run()
-        if coro:
-            # 启动核心任务和仪表板服务器
-            task = asyncio.gather(core_task, coro)
-        else:
-            task = core_task
         try:
             await task  # 整个AstrBot在这里运行
         except asyncio.CancelledError:

astrbot/core/knowledge_base/chunking/__init__.py

@@ -1,9 +0,0 @@
-"""文档分块模块"""
-
-from .base import BaseChunker
-from .fixed_size import FixedSizeChunker
-
-__all__ = [
-    "BaseChunker",
-    "FixedSizeChunker",
-]

astrbot/core/knowledge_base/chunking/base.py

@@ -1,25 +0,0 @@
-"""文档分块器基类
-
-定义了文档分块处理的抽象接口。
-"""
-
-from abc import ABC, abstractmethod
-
-
-class BaseChunker(ABC):
-    """分块器基类
-
-    所有分块器都应该继承此类并实现 chunk 方法。
-    """
-
-    @abstractmethod
-    async def chunk(self, text: str, **kwargs) -> list[str]:
-        """将文本分块
-
-        Args:
-            text: 输入文本
-
-        Returns:
-            list[str]: 分块后的文本列表
-
-        """