chore: bump version to 4.3.1

closes: #2284

.dockerignore

@@ -0,0 +1,24 @@
+# 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 acions
+.github/
+.*ignore
+.git/
+# User-specific stuff
+.idea/
+# Byte-compiled / optimized / DLL files
+__pycache__/
+# Environments
+.env
+.venv
+env/
+venv*/
+ENV/
+.conda/
+README*.md
+dashboard/
+data/
+changelogs/
+tests/
+.ruff_cache/
+.astrbot

.github/FUNDING.yml

@@ -0,0 +1,15 @@
+# These are supported funding model platforms
+
+github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
+patreon: # Replace with a single Patreon username
+open_collective: astrbot
+ko_fi: # Replace with a single Ko-fi username
+tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
+community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
+liberapay: # Replace with a single Liberapay username
+issuehunt: # Replace with a single IssueHunt username
+lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
+polar: # Replace with a single Polar username
+buy_me_a_coffee: # Replace with a single Buy Me a Coffee username
+thanks_dev: # Replace with a single thanks.dev username
+custom: ['https://afdian.com/a/astrbot_team']

.github/ISSUE_TEMPLATE/PLUGIN_PUBLISH.yml

@@ -0,0 +1,56 @@
+name: 🥳 发布插件
+description: 提交插件到插件市场
+title: "[Plugin] 插件名"
+labels: ["plugin-publish"]
+assignees: []
+body:
+  - type: markdown
+    attributes:
+      value: |
+        欢迎发布插件到插件市场！
+
+  - type: markdown
+    attributes:
+      value: |
+        ## 插件基本信息
+
+        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 ？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
+    attributes:
+      label: 插件信息
+      description: 请在下方代码块中填写您的插件信息，确保反引号包裹了JSON
+      value: |
+        ```json
+        {
+          "name": "插件名",
+          "desc": "插件介绍",
+          "author": "作者名",
+          "repo": "插件仓库链接",
+          "tags": [],
+          "social_link": ""
+        }
+        ```
+    validations:
+      required: true
+
+  - type: markdown
+    attributes:
+      value: |
+        ## 检查
+
+  - type: checkboxes
+    id: checks
+    attributes:
+      label: 插件检查清单
+      description: 请确认以下所有项目
+      options:
+        - label: 我的插件经过完整的测试
+          required: true
+        - label: 我的插件不包含恶意代码
+          required: true
+        - label: 我已阅读并同意遵守该项目的 [行为准则](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
+          required: true

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -0,0 +1,82 @@
+name: '🐛 报告 Bug'
+title: '[Bug]'
+description: 提交报告帮助我们改进。
+labels: [ 'bug' ]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        感谢您抽出时间报告问题！请准确解释您的问题。如果可能，请提供一个可复现的片段（这有助于更快地解决问题）。
+  - type: textarea
+    attributes:
+      label: 发生了什么
+      description: 描述你遇到的异常
+      placeholder: >
+        一个清晰且具体的描述这个异常是什么。
+    validations:
+      required: true
+
+  - type: textarea
+    attributes:
+      label: 如何复现？
+      description: >
+        复现该问题的步骤
+      placeholder: >
+        如: 1. 打开 '...'
+    validations:
+      required: true
+
+  - type: textarea
+    attributes:
+      label: AstrBot 版本、部署方式（如 Windows Docker Desktop 部署）、使用的提供商、使用的消息平台适配器
+      description: >
+        请提供您的 AstrBot 版本和部署方式。
+      placeholder: >
+        如: 3.1.8 Docker, 3.1.7 Windows启动器
+    validations:
+      required: true
+
+  - type: dropdown
+    attributes:
+      label: 操作系统
+      description: |
+        你在哪个操作系统上遇到了这个问题？
+      multiple: false
+      options:
+        - 'Windows'
+        - 'macOS'
+        - 'Linux'
+        - 'Other'
+        - 'Not sure'
+    validations:
+      required: true
+
+  - type: textarea
+    attributes:
+      label: 报错日志
+      description: >
+        如报错日志、截图等。请提供完整的 Debug 级别的日志，不要介意它很长！
+      placeholder: >
+        请提供完整的报错日志或截图。
+    validations:
+      required: true
+
+  - type: checkboxes
+    attributes:
+      label: 你愿意提交 PR 吗？
+      description: >
+        这不是必需的，但我们很乐意在贡献过程中为您提供指导特别是如果你已经很好地理解了如何实现修复。
+      options:
+        - label: 是的，我愿意提交 PR!
+
+  - type: checkboxes
+    attributes:
+      label: Code of Conduct
+      options:
+        - label: >
+            我已阅读并同意遵守该项目的 [行为准则](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
+          required: true
+
+  - type: markdown
+    attributes:
+      value: "感谢您填写我们的表单！"

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -0,0 +1,42 @@
+
+name: '🎉 功能建议'
+title: "[Feature]"
+description: 提交建议帮助我们改进。
+labels: [ "enhancement" ]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        感谢您抽出时间提出新功能建议，请准确解释您的想法。
+
+  - type: textarea
+    attributes:
+      label: 描述
+      description: 简短描述您的功能建议。
+
+  - type: textarea
+    attributes:
+      label: 使用场景
+      description: 你想要发生什么？
+      placeholder: >
+        一个清晰且具体的描述这个功能的使用场景。
+
+  - type: checkboxes
+    attributes:
+      label: 你愿意提交PR吗?
+      description: >
+        这不是必须的，但我们欢迎您的贡献。
+      options:
+        - label: 是的, 我愿意提交PR!
+
+  - type: checkboxes
+    attributes:
+      label: Code of Conduct
+      options:
+        - label: >
+            我已阅读并同意遵守该项目的 [行为准则](https://docs.github.com/zh/site-policy/github-terms/github-community-code-of-conduct)。
+          required: true
+
+  - type: markdown
+    attributes:
+      value: "感谢您填写我们的表单！"

.github/PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,46 @@
+<!-- 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?-->
+
+### Verification Steps / 验证步骤
+
+<!--请为审查者 (Reviewer) 提供清晰、可复现的验证步骤（例如：1. 导航到... 2. 点击...）。-->
+<!--Please provide clear and reproducible verification steps for the Reviewer (e.g., 1. Navigate to... 2. Click...).-->
+
+### Screenshots or Test Results / 运行截图或测试结果
+
+<!--请粘贴截图、GIF 或测试日志，作为执行“验证步骤”的证据，证明此改动有效。-->
+<!--Please paste screenshots, GIFs, or test logs here as evidence of executing the "Verification Steps" to prove this change is effective.-->
+
+### Compatibility & Breaking Changes / 兼容性与破坏性变更
+
+<!--请说明此变更的兼容性：哪些是破坏性变更？哪些地方做了向后兼容处理？是否提供了数据迁移方法？-->
+<!--Please explain the compatibility of this change: What are the breaking changes? What backward-compatible measures were taken? Are data migration paths provided?-->
+
+- [ ] 这是一个破坏性变更 (Breaking Change)。/ This is a breaking change.
+- [ ] 这不是一个破坏性变更。/ This is NOT a breaking change.
+
+---
+
+### Checklist / 检查清单
+
+<!--如果分支被合并，您的代码将服务于数万名用户！在提交前，请核查一下几点内容。-->
+<!--If merged, your code will serve tens of thousands of users! Please double-check the following items before submitting.-->
+
+- [ ] 😊 如果 PR 中有新加入的功能，已经通过 Issue / 邮件等方式和作者讨论过。/ If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
+- [ ] 👀 我的更改经过了良好的测试，**并已在上方提供了“验证步骤”和“运行截图”**。/ My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
+- [ ] 🤓 我确保没有引入新依赖库，或者引入了新依赖库的同时将其添加到了 `requirements.txt` 和 `pyproject.toml` 文件相应位置。/ I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
+- [ ] 😮 我的更改没有引入恶意代码。/ My changes do not introduce malicious code.

.github/auto_assign.yml

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

.github/copilot-instructions.md

@@ -0,0 +1,63 @@
+# AstrBot Development Instructions
+
+AstrBot is a multi-platform LLM chatbot and development framework written in Python with a Vue.js dashboard. It supports multiple messaging platforms (QQ, Telegram, Discord, etc.) and various LLM providers (OpenAI, Anthropic, Google Gemini, etc.).
+
+Always reference these instructions first and fallback to search or bash commands only when you encounter unexpected information that does not match the info here.
+
+## Working Effectively
+
+### Bootstrap and Install Dependencies
+- **Python 3.10+ required** - Check `.python-version` file
+- Install UV package manager: `pip install uv`
+- Install project dependencies: `uv sync` -- takes 6-7 minutes. NEVER CANCEL. Set timeout to 10+ minutes.
+- Create required directories: `mkdir -p data/plugins data/config data/temp`
+
+### 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
+- Navigate to dashboard: `cd dashboard`
+- Install dashboard dependencies: `npm install` -- takes 2-3 minutes. NEVER CANCEL. Set timeout to 5+ minutes.
+- Build dashboard: `npm run build` -- takes 25-30 seconds. NEVER CANCEL.
+- Dashboard creates optimized production build in `dashboard/dist/`
+
+### Testing
+- Do not generate test files for now.
+
+### Code Quality and Linting
+- Install ruff linter: `uv add --dev ruff`
+- Check code style: `uv run ruff check .` -- takes <1 second
+- Check formatting: `uv run ruff format --check .` -- takes <1 second
+- Fix formatting: `uv run ruff format .`
+- **ALWAYS** run `uv run ruff check .` and `uv run ruff format .` before committing changes
+
+### Plugin Development
+- 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
+
+### Common Issues and Workarounds
+- **Dashboard download fails**: Known issue with "division by zero" error - application still works
+- **Import errors in tests**: Ensure `uv run` is used to run tests in proper environment
+=- **Build timeouts**: Always set appropriate timeouts (10+ minutes for uv sync, 5+ minutes for npm install)
+
+## CI/CD Integration
+- GitHub Actions workflows in `.github/workflows/`
+- Docker builds supported via `Dockerfile`
+- Pre-commit hooks enforce ruff formatting and linting
+
+## Docker Support
+- Primary deployment method: `docker run soulter/astrbot:latest`
+- Compose file available: `compose.yml`
+- Exposes ports: 6185 (WebUI), 6195 (WeChat), 6199 (QQ), etc.
+- Volume mount required: `./data:/AstrBot/data`
+
+## Multi-language Support
+- Documentation in Chinese (README.md), English (README_en.md), Japanese (README_ja.md)
+- UI supports internationalization
+- Default language is Chinese
+
+Remember: This is a production chatbot framework with real users. Always test thoroughly and ensure changes don't break existing functionality.

.github/dependabot.yml

@@ -0,0 +1,13 @@
+# Keep GitHub Actions up to date with GitHub's Dependabot...
+# https://docs.github.com/en/code-security/dependabot/working-with-dependabot/keeping-your-actions-up-to-date-with-dependabot
+# https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#package-ecosystem
+version: 2
+updates:
+  - package-ecosystem: github-actions
+    directory: /
+    groups:
+      github-actions:
+        patterns:
+          - "*"  # Group all Actions updates into a single larger pull request
+    schedule:
+      interval: weekly

.github/workflows/auto_release.yml

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

.github/workflows/code-format.yml

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

.github/workflows/codeql.yml

@@ -0,0 +1,93 @@
+# For most projects, this workflow file will not need changing; you simply need
+# to commit it to your repository.
+#
+# You may wish to alter this file to override the set of languages analyzed,
+# or to provide custom queries or build logic.
+#
+# ******** NOTE ********
+# We have attempted to detect the languages in your repository. Please check
+# the `language` matrix defined below to confirm you have the correct set of
+# supported CodeQL languages.
+#
+name: "CodeQL"
+
+on:
+  push:
+    branches: [ "master" ]
+  pull_request:
+    branches: [ "master" ]
+  schedule:
+    - cron: '21 15 * * 5'
+
+jobs:
+  analyze:
+    name: Analyze (${{ matrix.language }})
+    # Runner size impacts CodeQL analysis time. To learn more, please see:
+    #   - https://gh.io/recommended-hardware-resources-for-running-codeql
+    #   - https://gh.io/supported-runners-and-hardware-resources
+    #   - https://gh.io/using-larger-runners (GitHub.com only)
+    # Consider using larger runners or machines with greater resources for possible analysis time improvements.
+    runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}
+    timeout-minutes: ${{ (matrix.language == 'swift' && 120) || 360 }}
+    permissions:
+      # required for all workflows
+      security-events: write
+
+      # required to fetch internal or private CodeQL packs
+      packages: read
+
+      # only required for workflows in private repositories
+      actions: read
+      contents: read
+
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+        - language: python
+          build-mode: none
+        # CodeQL supports the following values keywords for 'language': 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'swift'
+        # Use `c-cpp` to analyze code written in C, C++ or both
+        # Use 'java-kotlin' to analyze code written in Java, Kotlin or both
+        # Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both
+        # To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,
+        # see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.
+        # If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how
+        # your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v5
+
+    # Initializes the CodeQL tools for scanning.
+    - name: Initialize CodeQL
+      uses: github/codeql-action/init@v3
+      with:
+        languages: ${{ matrix.language }}
+        build-mode: ${{ matrix.build-mode }}
+        # If you wish to specify custom queries, you can do so here or in a config file.
+        # By default, queries listed here will override any specified in a config file.
+        # Prefix the list here with "+" to use these queries and those in the config file.
+
+        # For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
+        # queries: security-extended,security-and-quality
+
+    # If the analyze step fails for one of the languages you are analyzing with
+    # "We were unable to automatically build your code", modify the matrix above
+    # to set the build mode to "manual" for that language. Then modify this step
+    # to build your code.
+    # ℹ️ Command-line programs to run using the OS shell.
+    # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
+    - if: matrix.build-mode == 'manual'
+      shell: bash
+      run: |
+        echo 'If you are using a "manual" build mode for one or more of the' \
+          'languages you are analyzing, replace this with the commands to build' \
+          'your code, for example:'
+        echo '  make bootstrap'
+        echo '  make release'
+        exit 1
+
+    - name: Perform CodeQL Analysis
+      uses: github/codeql-action/analyze@v3
+      with:
+        category: "/language:${{matrix.language}}"

.github/workflows/coverage_test.yml

@@ -0,0 +1,45 @@
+name: Run tests and upload coverage
+
+on:
+  push:
+    branches:
+      - master
+    paths-ignore:
+      - 'README.md'
+      - 'changelogs/**'
+      - 'dashboard/**'
+  pull_request:
+  workflow_dispatch:
+
+jobs:
+  test:
+    name: Run tests and collect coverage
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v5
+        with:
+          fetch-depth: 0
+
+      - name: Set up Python
+        uses: actions/setup-python@v6
+      
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install pytest pytest-asyncio pytest-cov
+          pip install --editable .
+
+      - name: Run tests
+        run: |
+          mkdir -p data/plugins
+          mkdir -p data/config
+          mkdir -p data/temp
+          export TESTING=true
+          export ZHIPU_API_KEY=${{ secrets.OPENAI_API_KEY }}
+          pytest --cov=. -v -o log_cli=true -o log_level=DEBUG
+
+      - name: Upload results to Codecov
+        uses: codecov/codecov-action@v5
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}

.github/workflows/dashboard_ci.yml

@@ -0,0 +1,48 @@
+name: AstrBot Dashboard CI
+
+on:
+  push:
+    branches: [ "master" ]
+  pull_request:
+    branches: [ "master" ]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v5
+
+      - name: npm install, build
+        run: |
+          cd dashboard
+          npm install
+          npm run build
+
+      - name: Inject Commit SHA
+        id: get_sha
+        run: |
+          echo "COMMIT_SHA=$(git rev-parse HEAD)" >> $GITHUB_ENV
+          mkdir -p dashboard/dist/assets
+          echo $COMMIT_SHA > dashboard/dist/assets/version
+          cd dashboard
+          zip -r dist.zip dist
+
+      - name: Archive production artifacts
+        uses: actions/upload-artifact@v4
+        with:
+          name: dist-without-markdown
+          path: |
+            dashboard/dist
+            !dist/**/*.md
+
+      - name: Create GitHub Release
+        if: github.event_name == 'push'
+        uses: ncipollo/release-action@v1
+        with:
+          tag: release-${{ github.sha }}
+          owner: AstrBotDevs
+          repo: astrbot-release-harbour
+          body: "Automated release from commit ${{ github.sha }}"
+          token: ${{ secrets.ASTRBOT_HARBOUR_TOKEN }}
+          artifacts: "dashboard/dist.zip"

.github/workflows/docker-image.yml

@@ -0,0 +1,89 @@
+name: Docker Image CI/CD
+
+on:
+  push:
+    tags:
+      - 'v*'
+  workflow_dispatch:
+
+jobs:
+  publish-docker:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Pull The Codes
+        uses: actions/checkout@v5
+        with:
+          fetch-depth: 0  # Must be 0 so we can fetch tags
+
+      - name: Get latest tag (only on manual trigger)
+        id: get-latest-tag
+        if: github.event_name == 'workflow_dispatch'
+        run: |
+          tag=$(git describe --tags --abbrev=0)
+          echo "latest_tag=$tag" >> $GITHUB_OUTPUT
+
+      - name: Checkout to latest tag (only on manual trigger)
+        if: github.event_name == 'workflow_dispatch'
+        run: git checkout ${{ steps.get-latest-tag.outputs.latest_tag }}
+
+      - name: Check if version is pre-release
+        id: check-prerelease
+        run: |
+          if [ "${{ github.event_name }}" == "workflow_dispatch" ]; then
+            version="${{ steps.get-latest-tag.outputs.latest_tag }}"
+          else
+            version="${{ github.ref_name }}"
+          fi
+          if [[ "$version" == *"beta"* ]] || [[ "$version" == *"alpha"* ]]; then
+            echo "is_prerelease=true" >> $GITHUB_OUTPUT
+            echo "Version $version is a pre-release, will not push latest tag"
+          else
+            echo "is_prerelease=false" >> $GITHUB_OUTPUT
+            echo "Version $version is a stable release, will push latest tag"
+          fi
+
+      - name: Build Dashboard
+        run: |
+          cd dashboard
+          npm install
+          npm run build
+          mkdir -p dist/assets
+          echo $(git rev-parse HEAD) > dist/assets/version
+          cd ..
+          mkdir -p data
+          cp -r dashboard/dist data/
+
+      - name: Set QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - 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
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: Soulter
+          password: ${{ secrets.GHCR_GITHUB_TOKEN }}
+
+      - 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.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 "Docker image has been built and pushed successfully"

.github/workflows/stale.yml

@@ -0,0 +1,27 @@
+# This workflow warns and then closes issues and PRs that have had no activity for a specified amount of time.
+#
+# You can adjust the behavior by modifying this file.
+# For more information, see:
+# https://github.com/actions/stale
+name: Mark stale issues and pull requests
+
+on:
+  schedule:
+  - cron: '21 23 * * *'
+
+jobs:
+  stale:
+
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: write
+
+    steps:
+    - uses: actions/stale@v10
+      with:
+        repo-token: ${{ secrets.GITHUB_TOKEN }}
+        stale-issue-message: 'Stale issue message'
+        stale-pr-message: 'Stale pull request message'
+        stale-issue-label: 'no-issue-activity'
+        stale-pr-label: 'no-pr-activity'

.gitignore

@@ -1,3 +1,35 @@
 __pycache__
 botpy.log
 .vscode
+.venv*
+.idea
+data_v2.db
+data_v3.db
+configs/session
+configs/config.yaml
+**/.DS_Store
+temp
+cmd_config.json
+data
+cookies.json
+logs/
+addons/plugins
+.coverage
+
+
+tests/astrbot_plugin_openai
+chroma
+dashboard/node_modules/
+dashboard/dist/
+.DS_Store
+package-lock.json
+package.json
+venv/*
+packages/python_interpreter/workplace
+.venv/*
+.conda/
+.idea
+pytest.ini
+.astrbot
+
+uv.lock

.pre-commit-config.yaml

@@ -0,0 +1,13 @@
+default_install_hook_types: [pre-commit, prepare-commit-msg]
+ci:
+  autofix_commit_msg: ":balloon: auto fixes by pre-commit hooks"
+  autofix_prs: true
+  autoupdate_branch: master
+  autoupdate_schedule: weekly
+  autoupdate_commit_msg: ":balloon: pre-commit autoupdate"
+repos:
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.11.2
+    hooks:
+      - id: ruff
+      - id: ruff-format

.python-version

@@ -0,0 +1 @@
+3.10

Dockerfile

@@ -0,0 +1,30 @@
+FROM python:3.11-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 \
+    ca-certificates \
+    bash \
+    ffmpeg \
+    && apt-get clean \
+    && 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 && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN python -m pip install uv
+RUN uv pip install -r requirements.txt --no-cache-dir --system
+RUN uv pip install socksio uv pilk --no-cache-dir --system
+
+EXPOSE 6185
+EXPOSE 6186
+
+CMD [ "python", "main.py" ]

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"]

LICENSE

@@ -629,8 +629,8 @@ to attach them to the start of each source file to most effectively
 state the exclusion of warranty; and each file should have at least
 the "copyright" line and a pointer to where the full notice is found.
 
-    <one line to give the program's name and a brief idea of what it does.>
-    Copyright (C) <year>  <name of author>
+    AstrBot is a llm-powered chatbot and develop framework.
+    Copyright (C) 2022-2099 Soulter
 
     This program is free software: you can redistribute it and/or modify
     it under the terms of the GNU Affero General Public License as published

README.md

@@ -1,311 +1,211 @@
+<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">
 
-<img src="https://socialify.git.ci/Soulter/QQChannelChatGPT/image?description=1&forks=1&issues=1&language=1&name=1&owner=1&pattern=Circuit%20Board&stargazers=1&theme=Light" alt="QQChannelChatGPT" width="600" height="300" />
+<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>
 
-[![Language](https://img.shields.io/badge/language-python-green.svg?style=plastic)](https://www.python.org/)
-[![License](https://img.shields.io/badge/license-AGPL3-orange.svg?style=plastic)](https://github.com/Soulter/QQChannelChatGPT/blob/master/LICENSE)
-![Python](https://img.shields.io/badge/python-3.9+-blue)
- 
-_✨在QQ和QQ频道上使用ChatGPT、NewBing等语言模型，稳定，一次部署，同时使用✨_
+[![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)
 
-_✨教程：https://github.com/Soulter/QQChannelChatGPT/wiki ✨_
- 
-_✨插件开发教程：https://github.com/Soulter/QQChannelChatGPT/wiki/%E5%9B%9B%E3%80%81%E5%BC%80%E5%8F%91%E6%8F%92%E4%BB%B6 ✨_
+<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://github.com/Soulter/AstrBot/issues">问题提交</a>
+</div>
 
-_✨欢迎体验😊（频道名: GPT机器人 | 频道号: x42d56aki2) | QQ群号：322154837）✨_
+AstrBot 是一个开源的一站式 Agentic 聊天机器人平台及开发框架。
 
-<!-- <img src="https://user-images.githubusercontent.com/37870767/230417115-9dd3c9d5-6b6b-4928-8fe3-82f559208aab.JPG" width="300"></img> -->
+## 主要功能
+
+1. **大模型对话**。支持接入多种大模型服务。支持多模态、工具调用、MCP、原生知识库、人设等功能。
+2. **多消息平台支持**。支持接入 QQ、企业微信、微信公众号、飞书、Telegram、钉钉、Discord、KOOK 等平台。支持速率限制、白名单、百度内容审核。
+3. **Agent**。完善适配的 Agentic 能力。支持多轮工具调用、内置沙盒代码执行器、网页搜索等功能。
+4. **插件扩展**。深度优化的插件机制，支持[开发插件](https://astrbot.app/dev/plugin.html)扩展功能，社区插件生态丰富。
+5. **WebUI**。可视化配置和管理机器人，功能齐全。
+
+## 部署方式
+
+#### 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) 。
+
+#### 宝塔面板部署
+
+AstrBot 与宝塔面板合作，已上架至宝塔面板。
+
+请参阅官方文档 [宝塔面板部署](https://astrbot.app/deploy/astrbot/btpanel.html) 。
+
+#### 1Panel 部署
+
+AstrBot 已由 1Panel 官方上架至 1Panel 面板。
+
+请参阅官方文档 [1Panel 部署](https://astrbot.app/deploy/astrbot/1panel.html) 。
+
+#### 在 雨云 上部署
+
+AstrBot 已由雨云官方上架至云应用平台，可一键部署。
+
+[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
+
+#### 在 Replit 上部署
+
+社区贡献的部署方式。
+
+[![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
+
+请参阅官方文档 [使用 Windows 一键安装器部署 AstrBot](https://astrbot.app/deploy/astrbot/windows.html) 。
+
+#### CasaOS 部署
+
+社区贡献的部署方式。
+
+请参阅官方文档 [CasaOS 部署](https://astrbot.app/deploy/astrbot/casaos.html) 。
+
+#### 手动部署
+
+首先安装 uv：
+
+```bash
+pip install uv
+```
+
+通过 Git Clone 安装 AstrBot：
+
+```bash
+git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
+uv run main.py
+```
+
+或者请参阅官方文档 [通过源码部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html) 。
+
+## 🌍 社区
+
+### QQ 群组
+
+- 1 群：322154837
+- 3 群：630166526
+- 5 群：822130018
+- 6 群：753075035
+- 开发者群：975206796
+- 开发者群（备份）：295657329
+
+### Telegram 群组
+
+<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
+
+### Discord 群组
+
+<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
+
+## ⚡ 消息平台支持情况
+
+| 平台    | 支持性 |
+| -------- | ------- |
+| QQ(官方机器人接口) | ✔    |
+| QQ(OneBot)      | ✔    |
+| Telegram   | ✔    |
+| 企业微信    | ✔    |
+| 微信客服    | ✔    |
+| 微信公众号    | ✔    |
+| 飞书   | ✔    |
+| 钉钉   | ✔    |
+| Slack   | ✔    |
+| Discord   | ✔    |
+| [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)   | ✔    |
+| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)   | ✔    |
+| Satori   | ✔    |
+| Misskey   | ✔    |
+
+## ⚡ 提供商支持情况
+
+| 名称    | 支持性 | 类型 | 备注 |
+| -------- | ------- | ------- | ------- |
+| OpenAI | ✔    | 文本生成 | 支持任何兼容 OpenAI API 的服务 |
+| Anthropic | ✔    | 文本生成 |  |
+| Google Gemini | ✔    | 文本生成 |  |
+| Dify | ✔    | LLMOps |  |
+| 阿里云百炼应用 | ✔    | LLMOps |  |
+| Ollama | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
+| LM Studio | ✔    | 模型加载器 | 本地部署 DeepSeek、Llama 等开源语言模型 |
+| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | ✔    | 模型 API 及算力服务平台 |  |
+| [302.AI](https://share.302.ai/rr1M3l) | ✔    | 模型 API 服务平台 |  |
+| 硅基流动 | ✔    | 模型 API 服务平台 |  |
+| PPIO 派欧云 | ✔    | 模型 API 服务平台 |  |
+| OneAPI | ✔    | LLM 分发系统 |  |
+| Whisper | ✔    | 语音转文本 | 支持 API、本地部署 |
+| SenseVoice | ✔    | 语音转文本 | 本地部署 |
+| OpenAI TTS API | ✔    | 文本转语音 |  |
+| GSVI | ✔    | 文本转语音 | GPT-Sovits-Inference |
+| GPT-SoVITs | ✔    | 文本转语音 | GPT-Sovits-Inference |
+| FishAudio | ✔    | 文本转语音 | GPT-Sovits 作者参与的项目 |
+| Edge TTS | ✔    | 文本转语音 | Edge 浏览器的免费 TTS |
+| 阿里云百炼 TTS | ✔    | 文本转语音 |  |
+| Azure TTS | ✔    | 文本转语音 | Microsoft Azure TTS |
+
+## ❤️ 贡献
+
+欢迎任何 Issues/Pull Requests！只需要将你的更改提交到此项目 ：)
+
+### 如何贡献
+
+你可以通过查看问题或帮助审核 PR（拉取请求）来贡献。任何问题或 PR 都欢迎参与，以促进社区贡献。当然，这些只是建议，你可以以任何方式进行贡献。对于新功能的添加，请先通过 Issue 讨论。
+
+### 开发环境
+
+AstrBot 使用 `ruff` 进行代码格式化和检查。
+
+```bash
+git clone https://github.com/Soulter/AstrBot
+pip install pre-commit
+pre-commit install
+```
+
+## ❤️ Special Thanks
+
+特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️
+
+<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
+</a>
+
+此外，本项目的诞生离不开以下开源项目的帮助：
+
+- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 伟大的猫猫框架
+
+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，这是我维护这个开源项目的动力 <3
+
+<div align="center">
+
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
 
 </div>
 
-## ⭐功能：
-
-近期新功能：
-- 支持插件！https://github.com/Soulter/QQChannelChatGPT/wiki/%E5%9B%9B%E3%80%81%E5%BC%80%E5%8F%91%E6%8F%92%E4%BB%B6
-- 支持一键切换语言模型（使用/bing /revgpt /gpt分别可以切换newbing、逆向ChatGPT、官方ChatGPT模型）
-- 热更新
-- 接入QQ，支持在QQ上和QQ频道上同时聊天！https://github.com/Soulter/QQChannelChatGPT/issues/82
-- 更强大的Windows启动器，环境配置自动搞定。链接：https://github.com/Soulter/QQChatGPTLauncher/releases/latest
-
-支持的AI语言模型（请在`configs/config.yaml`下配置）：
-- 逆向ChatGPT库
-- 官方ChatGPT AI
-- 文心一言（即将支持）
-- NewBing
-- Bard （即将支持）
-
-部署此项目的教程链接：https://github.com/Soulter/QQChannelChatGPT/wiki
-
-### 基本功能
-<details> 
- <summary>✅ 回复符合上下文</summary>
-
-   -  程序向API发送近多次对话内容，模型根据上下文生成回复
-
-   -  你可在`configs/config.yaml`中修改`total_token_limit`来近似控制缓存大小。
- </details> 
-
-<details> 
- <summary>✅ 超额自动切换</summary>
-
-   -  超额时，程序自动切换openai的key，方便快捷
-   
 </details>
 
-<details> 
-
- <summary>✅ 支持统计频道、消息数量等信息</summary> 
-
-   -  实现了简单的统计功能
-
- </details>
-
-<details> 
- <summary>✅ 多并发处理，回复速度快</summary> 
-  
-   -  使用了协程，理论最高可以支持每个子频道每秒回复5条信息
-  
- </details>
-
-<details>
- <summary>✅ 持久化转储历史记录，重启不丢失</summary> 
-
-   -  使用内置的sqlite数据库存储历史记录到本地
-
-   -  方式为定时转储，可在`config.yaml`下修改`dump_history_interval`来修改间隔时间，单位为分钟。
-  
- </details>
-
-<details> 
- <summary>✅ 支持多种指令控制</summary> 
-  
-   -  详见下方`指令功能`
-  
- </details>
-
-<details>
-<summary>✅ 官方API，稳定</summary>
-
-   -  不使用ChatGPT逆向接口，而使用官方API接口，稳定方便。
-
-   -  QQ频道机器人框架为QQ官方开源的框架，稳定。
-
-</details>
-
-> 关于token：token就相当于是AI中的单词数（但是不等于单词数），`text-davinci-003`模型中最大可以支持`4097`个token。在发送信息时，这个机器人会将用户的历史聊天记录打包发送给ChatGPT，因此，`token`也会相应的累加，为了保证聊天的上下文的逻辑性，就有了缓存token。
-
-### 🛠️ 插件支持
-
-本项目支持接入插件。
-
-插件开发教程：https://github.com/Soulter/QQChannelChatGPT/wiki/%E5%9B%9B%E3%80%81%E5%BC%80%E5%8F%91%E6%8F%92%E4%BB%B6
-
-部分好用的插件：
-
-`HuggingChat`: https://github.com/Soulter/HuggingChatForQQBot
-
-
-### 指令功能
-
-#### OpenAI官方API
-在频道内需要先`@`机器人之后再输入指令；在QQ中暂时需要在消息前加上`ai `，不需要@
-- `/reset`重置prompt
-- `/his`查看历史记录（每个用户都有独立的会话）
-- `/his [页码数]`查看不同页码的历史记录。例如`/his 2`查看第2页
-- `/token`查看当前缓存的总token数
-- `/count` 查看统计
-- `/status` 查看chatGPT的配置
-- `/help` 查看帮助
-- `/key` 动态添加key
-- `/set` 人格设置面板
-- `/keyword nihao 你好` 设置关键词回复。nihao->你好
-- `/bing` 切换为bing
-- `/revgpt` 切换为ChatGPT逆向库
-- `/画` 画画
-
-#### Bing语言模型
-- `/reset`重置prompt
-- `/gpt` 切换为OpenAI官方API
-- `/revgpt` 切换为ChatGPT逆向库
-
-#### 逆向ChatGPT库语言模型
-- `/gpt` 切换为OpenAI官方API
-- `/bing` 切换为bing
-
-* 切换模型指令支持临时回复。如`/bing 你好`将会临时使用一次bing模型
-
-## 📰使用方法：
-
-**详细部署教程链接**https://soulter.top/posts/qpdg.html
-
-**Windows用户推荐Windows一键安装，请前往Release下载最新版本（Beta）**
-有报错请先看issue，解决不了再在频道内反馈。
-
-### 安装第三方库
-
-```shell
-pip install -r requirements.txt
-```
-> ⚠Python版本应>=3.9
-
-
-### 配置
-
-**详细部署教程链接**https://github.com/Soulter/QQChannelChatGPT/wiki
-
-### 启动
-- 启动main.py
-
-
-## 感谢
-本项目使用了一下项目:
-
-[ChatGPT by acheong08](https://github.com/acheong08/ChatGPT)
-
-[EdgeGPT by acheong08](https://github.com/acheong08/EdgeGPT)
-
-[go-cqhttp by Mrs4s](https://github.com/Mrs4s/go-cqhttp)
-
-[nakuru-project by Lxns-Network](https://github.com/Lxns-Network/nakuru-project)
-
-
-## ⚙配置文件说明：
-```yaml
-# 如果你不知道怎么部署，请查看https://github.com/Soulter/QQChannelChatGPT/wiki
-# 不一定需要key了，如果你没有key但有openAI账号或者必应账号，可以考虑使用下面的逆向库
-
-
-###############平台设置#################
-
-# QQ频道机器人
-# QQ开放平台的appid和令牌
-# q.qq.com
-# enable为true则启用，false则不启用
-qqbot:
-  enable: true
-  appid: 
-  token: 
-
-# QQ机器人
-# enable为true则启用，false则不启用
-# 需要安装GO-CQHTTP配合使用。
-# 文档：https://docs.go-cqhttp.org/
-# 请将go-cqhttp的配置文件的sever部分粘贴为以下内容，否则无法使用
-# 请先启动go-cqhttp再启动本程序
-# 
-# servers:
-#   - http:
-#       host: 127.0.0.1
-#       version: 0
-#       port: 5700
-#       timeout: 5
-#   - ws:
-#       address: 127.0.0.1:6700
-#       middlewares:
-#         <<: *default
-gocqbot:
-  enable: false
-
-# 设置是否一个人一个会话
-uniqueSessionMode: false
-# QChannelBot 的版本，请勿修改此字段，否则可能产生一些bug
-version: 3.0
-# [Beta] 转储历史记录时间间隔(分钟)
-dump_history_interval: 10
-# 一个用户只能在time秒内发送count条消息
-limit:
-  time: 60
-  count: 5
-# 公告
-notice: "此机器人由Github项目QQChannelChatGPT驱动。"
-# 是否打开私信功能
-# 设置为true则频道成员可以私聊机器人。
-# 设置为false则频道成员不能私聊机器人。
-direct_message_mode: true
-
-# 系统代理
-# http_proxy: http://localhost:7890
-# https_proxy: http://localhost:7890
-
-# 自定义回复前缀，如[Rev]或其他，务必加引号以防止不必要的bug。
-reply_prefix:
-  openai_official: "[GPT]"
-  rev_chatgpt: "[Rev]"
-  rev_edgegpt: "[RevBing]"
-
-# 百度内容审核服务
-# 新用户免费5万次调用。https://cloud.baidu.com/doc/ANTIPORN/index.html
-baidu_aip:
-  enable: false
-  app_id: 
-  api_key: 
-  secret_key: 
-
-
-
-
-###############语言模型设置#################
-
-
-# OpenAI官方API
-# 注意：已支持多key自动切换，方法：
-# key:
-#   - sk-xxxxxx
-#   - sk-xxxxxx
-# 在下方非注释的地方使用以上格式
-# 关于api_base：可以使用一些云函数（如腾讯、阿里）来避免国内被墙的问题。
-# 详见：
-# https://github.com/Ice-Hazymoon/openai-scf-proxy
-# https://github.com/Soulter/QQChannelChatGPT/issues/42
-# 设置为none则表示使用官方默认api地址
-openai:
-  key: 
-    - 
-  api_base: none
-  # 这里是GPT配置，语言模型默认使用gpt-3.5-turbo
-  chatGPTConfigs:
-    model: gpt-3.5-turbo
-    max_tokens: 3000
-    temperature: 0.9
-    top_p: 1
-    frequency_penalty: 0
-    presence_penalty: 0
-    
-  total_tokens_limit: 5000
-
-# 逆向文心一言【暂时不可用，请勿使用】
-rev_ernie:
-  enable: false
-
-# 逆向New Bing
-# 需要在项目根目录下创建cookies.json并粘贴cookies进去。
-# 详见：https://soulter.top/posts/qpdg.html
-rev_edgegpt:
-  enable: false
-
-# 逆向ChatGPT库
-# https://github.com/acheong08/ChatGPT
-# 优点：免费（无免费额度限制）；
-# 缺点：速度相对慢。OpenAI 速率限制：免费帐户每小时 50 个请求。您可以通过多帐户循环来绕过它
-# enable设置为true后，将会停止使用上面正常的官方API调用而使用本逆向项目
-#
-# 多账户可以保证每个请求都能得到及时的回复。
-# 关于account的格式
-# account:
-#   - email: 第1个账户
-#     password: 第1个账户密码
-#   - email: 第2个账户
-#     password: 第2个账户密码
-#   - ....
-# 支持使用access_token登录
-# 例：
-# - session_token: xxxxx
-# - access_token: xxxx
-# 请严格按照上面这个格式填写。
-# 逆向ChatGPT库的email-password登录方式不工作，建议使用access_token登录
-# 获取access_token的方法，详见：https://soulter.top/posts/qpdg.html
-rev_ChatGPT:
-  enable: false
-  account:
-    - access_token: 
-```
+_私は、高性能ですから!_

README_en.md

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

README_ja.md

@@ -0,0 +1,167 @@
+<p align="center">
+
+![6e1279651f16d7fdf4727558b72bbaf1](https://github.com/user-attachments/assets/ead4c551-fc3c-48f7-a6f7-afbfdb820512)
+
+</p>
+
+<div align="center">
+
+_✨ 簡単に使えるマルチプラットフォーム LLM チャットボットおよび開発フレームワーク ✨_
+
+<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Soulter/AstrBot)](https://github.com/Soulter/AstrBot/releases/latest)
+<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
+<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg"/></a>
+<img alt="Static Badge" src="https://img.shields.io/badge/QQ群-630166526-purple">
+[![wakatime](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e.svg)](https://wakatime.com/badge/user/915e5316-99c6-4563-a483-ef186cf000c9/project/018e705a-a1a7-409a-a849-3013485e6c8e)
+![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fstats&query=v&label=7%E6%97%A5%E6%B6%88%E6%81%AF%E4%B8%8A%E8%A1%8C%E9%87%8F&cacheSeconds=3600)
+[![codecov](https://codecov.io/gh/Soulter/AstrBot/graph/badge.svg?token=FF3P5967B8)](https://codecov.io/gh/Soulter/AstrBot)
+
+<a href="https://astrbot.app/">ドキュメントを見る</a> ｜
+<a href="https://github.com/Soulter/AstrBot/issues">問題を報告する</a>
+</div>
+
+AstrBot は、疎結合、非同期、複数のメッセージプラットフォームに対応したデプロイ、使いやすいプラグインシステム、および包括的な大規模言語モデル（LLM）接続機能を備えたチャットボットおよび開発フレームワークです。
+
+## ✨ 主な機能
+
+1. **大規模言語モデルの対話**。OpenAI API、Google Gemini、Llama、Deepseek、ChatGLM など、さまざまな大規模言語モデルをサポートし、Ollama、LLMTuner を介してローカルにデプロイされた大規模モデルをサポートします。多輪対話、人格シナリオ、多モーダル機能を備え、画像理解、音声からテキストへの変換（Whisper）をサポートします。
+2. **複数のメッセージプラットフォームの接続**。QQ（OneBot）、QQ チャンネル、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。
+
+> [!TIP]
+> 管理パネルのオンラインデモを体験する: [https://demo.astrbot.app/](https://demo.astrbot.app/)
+>
+> ユーザー名: `astrbot`, パスワード: `astrbot`。LLM が設定されていないため、チャットページで大規模モデルを使用することはできません。（デモのログインパスワードを変更しないでください 😭）
+
+## ✨ 使用方法
+
+#### Docker デプロイ
+
+公式ドキュメント [Docker を使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) を参照してください。
+
+#### Windows ワンクリックインストーラーのデプロイ
+
+コンピュータに Python（>3.10）がインストールされている必要があります。公式ドキュメント [Windows ワンクリックインストーラーを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/windows.html) を参照してください。
+
+#### Replit デプロイ
+
+[![Run on Repl.it](https://repl.it/badge/github/Soulter/AstrBot)](https://repl.it/github/Soulter/AstrBot)
+
+#### CasaOS デプロイ
+
+コミュニティが提供するデプロイ方法です。
+
+公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/casaos.html) を参照してください。
+
+#### 手動デプロイ
+
+公式ドキュメント [ソースコードを使用して AstrBot をデプロイする](https://astrbot.app/deploy/astrbot/cli.html) を参照してください。
+
+## ⚡ メッセージプラットフォームのサポート状況
+
+| プラットフォーム    | サポート状況 | 詳細 | メッセージタイプ |
+| -------- | ------- | ------- | ------ |
+| QQ(公式ロボットインターフェース) | ✔    | プライベートチャット、グループチャット、QQ チャンネルプライベートチャット、グループチャット | テキスト、画像 |
+| QQ(OneBot)      | ✔    | プライベートチャット、グループチャット | テキスト、画像、音声 |
+| WeChat(個人アカウント)    | ✔    | WeChat 個人アカウントのプライベートチャット、グループチャット | テキスト、画像、音声 |
+| [Telegram](https://github.com/Soulter/astrbot_plugin_telegram)   | ✔    | プライベートチャット、グループチャット | テキスト、画像 |
+| [WeChat(企業 WeChat)](https://github.com/Soulter/astrbot_plugin_wecom)    | ✔    | プライベートチャット | テキスト、画像、音声 |
+| Feishu   | ✔    | グループチャット | テキスト、画像 |
+| WeChat 対話オープンプラットフォーム | 🚧    | 計画中 | - |
+| Discord   | 🚧    | 計画中 | - |
+| WhatsApp   | 🚧    | 計画中 | - |
+| Xiaoai 音響   | 🚧    | 計画中 | - |
+
+# 🦌 今後のロードマップ
+
+> [!TIP]
+> Issue でさらに多くの提案を歓迎します <3
+
+- [ ] 現在のすべてのプラットフォームアダプターの機能の一貫性を確保し、改善する
+- [ ] プラグインインターフェースの最適化
+- [ ] GPT-Sovits などの TTS サービスをデフォルトでサポート
+- [ ] "チャット強化" 部分を完成させ、永続的な記憶をサポート
+- [ ] i18n の計画
+
+## ❤️ 貢献
+
+Issue や Pull Request を歓迎します！このプロジェクトに変更を加えるだけです :)
+
+新機能の追加については、まず Issue で議論してください。
+
+## 🌟 サポート
+
+- このプロジェクトに Star を付けてください！
+- [愛発電](https://afdian.com/a/soulter)で私をサポートしてください！
+- [WeChat](https://drive.soulter.top/f/pYfA/d903f4fa49a496fda3f16d2be9e023b5.png)で私をサポートしてください~
+
+## ✨ デモ
+
+> [!NOTE]
+> コードエグゼキューターのファイル入力/出力は現在 Napcat(QQ)、Lagrange(QQ) でのみテストされています
+
+<div align='center'>
+
+<img src="https://github.com/user-attachments/assets/4ee688d9-467d-45c8-99d6-368f9a8a92d8" width="600">
+
+_✨ Docker ベースのサンドボックス化されたコードエグゼキューター（ベータテスト中）✨_
+
+<img src="https://github.com/user-attachments/assets/0378f407-6079-4f64-ae4c-e97ab20611d2" height=500>
+
+_✨ 多モーダル、ウェブ検索、長文の画像変換（設定可能）✨_
+
+<img src="https://github.com/user-attachments/assets/8ec12797-e70f-460a-959e-48eca39ca2bb" height=100>
+
+_✨ 自然言語タスク ✨_
+
+<img src="https://github.com/user-attachments/assets/e137a9e1-340a-4bf2-bb2b-771132780735" height=150>
+<img src="https://github.com/user-attachments/assets/480f5e82-cf6a-4955-a869-0d73137aa6e1" height=150>
+
+_✨ プラグインシステム - 一部のプラグインの展示 ✨_
+
+<img src="https://github.com/user-attachments/assets/592a8630-14c7-4e06-b496-9c0386e4f36c" width="600">
+
+_✨ 管理パネル ✨_
+
+![webchat](https://drive.soulter.top/f/vlsA/ezgif-5-fb044b2542.gif)
+
+_✨ 内蔵 Web Chat、オンラインでボットと対話 ✨_
+
+</div>
+
+## ⭐ Star History
+
+> [!TIP]
+> このプロジェクトがあなたの生活や仕事に役立った場合、またはこのプロジェクトの将来の発展に関心がある場合は、プロジェクトに Star を付けてください。これはこのオープンソースプロジェクトを維持するためのモチベーションです <3
+
+<div align="center">
+
+[![Star History Chart](https://api.star-history.com/svg?repos=soulter/astrbot&type=Date)](https://star-history.com/#soulter/astrbot&Date)
+
+</div>
+
+## スポンサー
+
+[<img src="https://api.gitsponsors.com/api/badge/img?id=575865240" height="20">](https://api.gitsponsors.com/api/badge/link?p=XEpbdGxlitw/RbcwiTX93UMzNK/jgDYC8NiSzamIPMoKvG2lBFmyXhSS/b0hFoWlBBMX2L5X5CxTDsUdyvcIEHTOfnkXz47UNOZvMwyt5CzbYpq0SEzsSV1OJF1cCo90qC/ZyYKYOWedal3MhZ3ikw==)
+
+## 免責事項
+
+1. このプロジェクトは `AGPL-v3` オープンソースライセンスの下で保護されています。
+2. 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!_

addons/baidu_aip_judge.py

@@ -1,26 +0,0 @@
-from aip import AipContentCensor
-
-class BaiduJudge:
-    def __init__(self, baidu_configs) -> None:
-        if 'app_id' in baidu_configs and 'api_key' in baidu_configs and 'secret_key' in baidu_configs:
-            self.app_id = str(baidu_configs['app_id'])
-            self.api_key = baidu_configs['api_key']
-            self.secret_key = baidu_configs['secret_key']
-            self.client = AipContentCensor(self.app_id, self.api_key, self.secret_key)
-        else:
-            raise ValueError("Baidu configs error! 请填写百度内容审核服务相关配置！")
-    def judge(self, text):
-        res = self.client.textCensorUserDefined(text)
-        if 'conclusionType' not in res:
-            return False, "百度审核服务未知错误"
-        if res['conclusionType'] == 1:
-            return True, "合规"
-        else:
-            if 'data' not in res:
-                return False, "百度审核服务未知错误"
-            count = len(res['data'])
-            info = f"百度审核服务发现 {count} 处违规：\n"
-            for i in res['data']:
-                info += f"{i['msg']}；\n"
-            info += "\n判断结果："+res['conclusion']
-            return False, info

addons/plugins/helloworld/README.md

@@ -1,5 +0,0 @@
-# helloworld
-
-QQChannelChatGPT项目的测试插件
-
-A test plugin for QQChannelChatGPT plugin feature

addons/plugins/helloworld/helloworld.py

@@ -1,65 +0,0 @@
-from nakuru.entities.components import *
-from nakuru import (
-    GroupMessage,
-    FriendMessage
-)
-from botpy.message import Message, DirectMessage
-
-class HelloWorldPlugin:
-    """
-    初始化函数, 可以选择直接pass
-    """
-    def __init__(self) -> None:
-        print("这是HelloWorld测试插件, 发送 helloworld 即可触发此插件。")
-
-    """
-    入口函数，机器人会调用此函数。
-    参数规范: message: 消息文本; role: 身份; platform: 消息平台; message_obj: 消息对象
-    参数详情: role为admin或者member; platform为qqchan或者gocq; message_obj为nakuru的GroupMessage对象或者FriendMessage对象或者频道的Message, DirectMessage对象。
-    返回规范: bool: 是否hit到此插件(所有的消息均会调用每一个载入的插件, 如果没有hit到, 则应返回False)
-             Tuple: None或者长度为3的元组。当没有hit到时, 返回None. hit到时, 第1个参数为指令是否调用成功, 第2个参数为返回的消息文本或者gocq的消息链列表, 第3个参数为指令名称
-    例子：做一个名为"yuanshen"的插件；当接收到消息为“原神 可莉”, 如果不想要处理此消息，则返回False, None；如果想要处理，但是执行失败了，返回True, tuple([False, "请求失败啦~", "yuanshen"])
-          ；执行成功了，返回True, tuple([True, "结果文本", "yuanshen"])
-    """
-    def run(self, message: str, role: str, platform: str, message_obj):
-
-        if platform == "gocq":
-            """
-            QQ平台指令处理逻辑
-            """
-            img_url = "https://gchat.qpic.cn/gchatpic_new/905617992/720871955-2246763964-C6EE1A52CC668EC982453065C4FA8747/0?term=2&is_origin=0"
-            if message == "helloworld":
-                return True, tuple([True, [Plain("Hello World!!"), Image.fromURL(url=img_url)], "helloworld"])
-            else:
-                return False, None
-        elif platform == "qqchan":
-            """
-            频道处理逻辑(频道暂时只支持回复字符串类型的信息，返回的信息都会被转成字符串，如果不想处理某一个平台的信息，直接返回False, None就行)
-            """
-            if message == "helloworld":
-                return True, tuple([True, "Hello World!!", "helloworld"])
-            else:
-                return False, None
-    """
-    帮助函数，当用户输入 plugin v 插件名称 时，会调用此函数，返回帮助信息
-    返回参数要求(必填)：dict{
-        "name": str, # 插件名称
-        "desc": str, # 插件简短描述
-        "help": str, # 插件帮助信息
-        "version": str, # 插件版本
-        "author": str, # 插件作者
-    }
-    """        
-    def info(self):
-        return {
-            "name": "helloworld",
-            "desc": "测试插件",
-            "help": "测试插件, 回复helloworld即可触发",
-            "version": "v1.0.1 beta",
-            "author": "Soulter"
-        }
-
-
-        # 热知识：检测消息开头指令，使用以下方法
-        # if message.startswith("原神"):
-        #     pass

astrbot/__init__.py

@@ -0,0 +1,3 @@
+from .core.log import LogManager
+
+logger = LogManager.GetLogger(log_name="astrbot")

astrbot/api/__init__.py

@@ -0,0 +1,20 @@
+from astrbot.core.config.astrbot_config import AstrBotConfig
+from astrbot import logger
+from astrbot.core import html_renderer
+from astrbot.core import sp
+from astrbot.core.star.register import register_llm_tool as llm_tool
+from astrbot.core.star.register import register_agent as agent
+from astrbot.core.agent.tool import ToolSet, FunctionTool
+from astrbot.core.agent.tool_executor import BaseFunctionToolExecutor
+
+__all__ = [
+    "AstrBotConfig",
+    "logger",
+    "html_renderer",
+    "llm_tool",
+    "agent",
+    "sp",
+    "ToolSet",
+    "FunctionTool",
+    "BaseFunctionToolExecutor",
+]

astrbot/api/all.py

@@ -0,0 +1,53 @@
+from astrbot.core.config.astrbot_config import AstrBotConfig
+from astrbot import logger
+from astrbot.core import html_renderer
+from astrbot.core.star.register import register_llm_tool as llm_tool
+
+# event
+from astrbot.core.message.message_event_result import (
+    MessageEventResult,
+    MessageChain,
+    CommandResult,
+    EventResultType,
+)
+from astrbot.core.platform import AstrMessageEvent
+
+# star register
+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,
+)
+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.register import (
+    register_star as register,  # 注册插件（Star）
+)
+from astrbot.core.star import Context, Star
+from astrbot.core.star.config import *
+
+
+# provider
+from astrbot.core.provider import Provider, Personality, ProviderMetaData
+
+# platform
+from astrbot.core.platform import (
+    AstrMessageEvent,
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    PlatformMetadata,
+)
+
+from astrbot.core.platform.register import register_platform_adapter
+
+from .message_components import *

astrbot/api/event/__init__.py

@@ -0,0 +1,18 @@
+from astrbot.core.message.message_event_result import (
+    MessageEventResult,
+    MessageChain,
+    CommandResult,
+    EventResultType,
+    ResultContentType,
+)
+
+from astrbot.core.platform import AstrMessageEvent
+
+__all__ = [
+    "MessageEventResult",
+    "MessageChain",
+    "CommandResult",
+    "EventResultType",
+    "AstrMessageEvent",
+    "ResultContentType",
+]

astrbot/api/event/filter/__init__.py

@@ -0,0 +1,51 @@
+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.filter.event_message_type import (
+    EventMessageTypeFilter,
+    EventMessageType,
+)
+from astrbot.core.star.filter.platform_adapter_type import (
+    PlatformAdapterTypeFilter,
+    PlatformAdapterType,
+)
+from astrbot.core.star.filter.permission import PermissionTypeFilter, PermissionType
+from astrbot.core.star.filter.custom_filter import CustomFilter
+
+__all__ = [
+    "command",
+    "command_group",
+    "event_message_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/message_components.py

@@ -0,0 +1 @@
+from astrbot.core.message.components import *

astrbot/api/platform/__init__.py

@@ -0,0 +1,23 @@
+from astrbot.core.platform import (
+    AstrMessageEvent,
+    Platform,
+    AstrBotMessage,
+    MessageMember,
+    MessageType,
+    PlatformMetadata,
+    Group,
+)
+
+from astrbot.core.platform.register import register_platform_adapter
+from astrbot.core.message.components import *
+
+__all__ = [
+    "AstrMessageEvent",
+    "Platform",
+    "AstrBotMessage",
+    "MessageMember",
+    "MessageType",
+    "PlatformMetadata",
+    "register_platform_adapter",
+    "Group",
+]

astrbot/api/provider/__init__.py

@@ -0,0 +1,17 @@
+from astrbot.core.provider import Provider, STTProvider, Personality
+from astrbot.core.provider.entities import (
+    ProviderRequest,
+    ProviderType,
+    ProviderMetaData,
+    LLMResponse,
+)
+
+__all__ = [
+    "Provider",
+    "STTProvider",
+    "Personality",
+    "ProviderRequest",
+    "ProviderType",
+    "ProviderMetaData",
+    "LLMResponse",
+]

astrbot/api/star/__init__.py

@@ -0,0 +1,8 @@
+from astrbot.core.star.register import (
+    register_star as register,  # 注册插件（Star）
+)
+
+from astrbot.core.star import Context, Star, StarTools
+from astrbot.core.star.config import *
+
+__all__ = ["register", "Context", "Star", "StarTools"]

astrbot/api/util/__init__.py

@@ -0,0 +1,7 @@
+from astrbot.core.utils.session_waiter import (
+    SessionWaiter,
+    SessionController,
+    session_waiter,
+)
+
+__all__ = ["SessionWaiter", "SessionController", "session_waiter"]

astrbot/cli/__init__.py

@@ -0,0 +1 @@
+__version__ = "3.5.23"

astrbot/cli/__main__.py

@@ -0,0 +1,59 @@
+"""
+AstrBot CLI入口
+"""
+
+import click
+import sys
+from . import __version__
+from .commands import init, run, plug, conf
+
+logo_tmpl = r"""
+     ___           _______.___________..______      .______     ______   .___________.
+    /   \         /       |           ||   _  \     |   _  \   /  __  \  |           |
+   /  ^  \       |   (----`---|  |----`|  |_)  |    |  |_)  | |  |  |  | `---|  |----`
+  /  /_\  \       \   \       |  |     |      /     |   _  <  |  |  |  |     |  |
+ /  _____  \  .----)   |      |  |     |  |\  \----.|  |_)  | |  `--'  |     |  |
+/__/     \__\ |_______/       |__|     | _| `._____||______/   \______/      |__|
+"""
+
+
+@click.group()
+@click.version_option(__version__, prog_name="AstrBot")
+def cli() -> None:
+    """The AstrBot CLI"""
+    click.echo(logo_tmpl)
+    click.echo("Welcome to AstrBot CLI!")
+    click.echo(f"AstrBot CLI version: {__version__}")
+
+
+@click.command()
+@click.argument("command_name", required=False, type=str)
+def help(command_name: str | None) -> None:
+    """显示命令的帮助信息
+
+    如果提供了 COMMAND_NAME，则显示该命令的详细帮助信息。
+    否则，显示通用帮助信息。
+    """
+    ctx = click.get_current_context()
+    if command_name:
+        # 查找指定命令
+        command = cli.get_command(ctx, command_name)
+        if command:
+            # 显示特定命令的帮助信息
+            click.echo(command.get_help(ctx))
+        else:
+            click.echo(f"Unknown command: {command_name}")
+            sys.exit(1)
+    else:
+        # 显示通用帮助信息
+        click.echo(cli.get_help(ctx))
+
+
+cli.add_command(init)
+cli.add_command(run)
+cli.add_command(help)
+cli.add_command(plug)
+cli.add_command(conf)
+
+if __name__ == "__main__":
+    cli()

astrbot/cli/commands/__init__.py

@@ -0,0 +1,6 @@
+from .cmd_init import init
+from .cmd_run import run
+from .cmd_plug import plug
+from .cmd_conf import conf
+
+__all__ = ["init", "run", "plug", "conf"]

astrbot/cli/commands/cmd_conf.py

@@ -0,0 +1,206 @@
+import json
+import click
+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:
+    """验证日志级别"""
+    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"
+        )
+    return value
+
+
+def _validate_dashboard_port(value: str) -> int:
+    """验证 Dashboard 端口"""
+    try:
+        port = int(value)
+        if port < 1 or port > 65535:
+            raise click.ClickException("端口必须在 1-65535 范围内")
+        return port
+    except ValueError:
+        raise click.ClickException("端口必须是数字")
+
+
+def _validate_dashboard_username(value: str) -> str:
+    """验证 Dashboard 用户名"""
+    if not value:
+        raise click.ClickException("用户名不能为空")
+    return value
+
+
+def _validate_dashboard_password(value: str) -> str:
+    """验证 Dashboard 密码"""
+    if not value:
+        raise click.ClickException("密码不能为空")
+    return hashlib.md5(value.encode()).hexdigest()
+
+
+def _validate_timezone(value: str) -> str:
+    """验证时区"""
+    try:
+        zoneinfo.ZoneInfo(value)
+    except Exception:
+        raise click.ClickException(f"无效的时区: {value}，请使用有效的IANA时区名称")
+    return value
+
+
+def _validate_callback_api_base(value: str) -> str:
+    """验证回调接口基址"""
+    if not value.startswith("http://") and not value.startswith("https://"):
+        raise click.ClickException("回调接口基址必须以 http:// 或 https:// 开头")
+    return value
+
+
+# 可通过CLI设置的配置项，配置键到验证器函数的映射
+CONFIG_VALIDATORS: dict[str, Callable[[str], Any]] = {
+    "timezone": _validate_timezone,
+    "log_level": _validate_log_level,
+    "dashboard.port": _validate_dashboard_port,
+    "dashboard.username": _validate_dashboard_username,
+    "dashboard.password": _validate_dashboard_password,
+    "callback_api_base": _validate_callback_api_base,
+}
+
+
+def _load_config() -> dict[str, Any]:
+    """加载或初始化配置文件"""
+    root = get_astrbot_root()
+    if not check_astrbot_root(root):
+        raise click.ClickException(
+            f"{root}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"
+    if not config_path.exists():
+        from astrbot.core.config.default import DEFAULT_CONFIG
+
+        config_path.write_text(
+            json.dumps(DEFAULT_CONFIG, ensure_ascii=False, indent=2),
+            encoding="utf-8-sig",
+        )
+
+    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: {str(e)}")
+
+
+def _save_config(config: dict[str, Any]) -> None:
+    """保存配置文件"""
+    config_path = get_astrbot_root() / "data" / "cmd_config.json"
+
+    config_path.write_text(
+        json.dumps(config, ensure_ascii=False, indent=2), encoding="utf-8-sig"
+    )
+
+
+def _set_nested_item(obj: dict[str, Any], path: str, value: Any) -> None:
+    """设置嵌套字典中的值"""
+    parts = path.split(".")
+    for part in parts[:-1]:
+        if part not in obj:
+            obj[part] = {}
+        elif not isinstance(obj[part], dict):
+            raise click.ClickException(
+                f"配置路径冲突: {'.'.join(parts[: parts.index(part) + 1])} 不是字典"
+            )
+        obj = obj[part]
+    obj[parts[-1]] = value
+
+
+def _get_nested_item(obj: dict[str, Any], path: str) -> Any:
+    """获取嵌套字典中的值"""
+    parts = path.split(".")
+    for part in parts:
+        obj = obj[part]
+    return obj
+
+
+@click.group(name="conf")
+def conf():
+    """配置管理命令
+
+    支持的配置项:
+
+    - timezone: 时区设置 (例如: Asia/Shanghai)
+
+    - log_level: 日志级别 (DEBUG/INFO/WARNING/ERROR/CRITICAL)
+
+    - dashboard.port: Dashboard 端口
+
+    - dashboard.username: Dashboard 用户名
+
+    - dashboard.password: Dashboard 密码
+
+    - callback_api_base: 回调接口基址
+    """
+    pass
+
+
+@conf.command(name="set")
+@click.argument("key")
+@click.argument("value")
+def set_config(key: str, value: str):
+    """设置配置项的值"""
+    if key not in CONFIG_VALIDATORS.keys():
+        raise click.ClickException(f"不支持的配置项: {key}")
+
+    config = _load_config()
+
+    try:
+        old_value = _get_nested_item(config, key)
+        validated_value = CONFIG_VALIDATORS[key](value)
+        _set_nested_item(config, key, validated_value)
+        _save_config(config)
+
+        click.echo(f"配置已更新: {key}")
+        if key == "dashboard.password":
+            click.echo("  原值: ********")
+            click.echo("  新值: ********")
+        else:
+            click.echo(f"  原值: {old_value}")
+            click.echo(f"  新值: {validated_value}")
+
+    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: {str(e)}")
+
+
+@conf.command(name="get")
+@click.argument("key", required=False)
+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.keys():
+            raise click.ClickException(f"不支持的配置项: {key}")
+
+        try:
+            value = _get_nested_item(config, key)
+            if key == "dashboard.password":
+                value = "********"
+            click.echo(f"{key}: {value}")
+        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: {str(e)}")
+    else:
+        click.echo("当前配置:")
+        for key in CONFIG_VALIDATORS.keys():
+            try:
+                value = (
+                    "********"
+                    if key == "dashboard.password"
+                    else _get_nested_item(config, key)
+                )
+                click.echo(f"  {key}: {value}")
+            except (KeyError, TypeError):
+                pass

astrbot/cli/commands/cmd_init.py

@@ -0,0 +1,55 @@
+import asyncio
+
+import click
+from filelock import FileLock, Timeout
+
+from ..utils import check_dashboard, get_astrbot_root
+
+
+async def initialize_astrbot(astrbot_root) -> None:
+    """执行 AstrBot 初始化逻辑"""
+    dot_astrbot = astrbot_root / ".astrbot"
+
+    if not dot_astrbot.exists():
+        click.echo(f"Current Directory: {astrbot_root}")
+        click.echo(
+            "如果你确认这是 Astrbot root directory, 你需要在当前目录下创建一个 .astrbot 文件标记该目录为 AstrBot 的数据目录。"
+        )
+        if click.confirm(
+            f"请检查当前目录是否正确，确认正确请回车: {astrbot_root}",
+            default=True,
+            abort=True,
+        ):
+            dot_astrbot.touch()
+            click.echo(f"Created {dot_astrbot}")
+
+    paths = {
+        "data": astrbot_root / "data",
+        "config": astrbot_root / "data" / "config",
+        "plugins": astrbot_root / "data" / "plugins",
+        "temp": astrbot_root / "data" / "temp",
+    }
+
+    for name, path in paths.items():
+        path.mkdir(parents=True, exist_ok=True)
+        click.echo(f"{'Created' if not path.exists() else 'Directory exists'}: {path}")
+
+    await check_dashboard(astrbot_root / "data")
+
+
+@click.command()
+def init() -> None:
+    """初始化 AstrBot"""
+    click.echo("Initializing AstrBot...")
+    astrbot_root = get_astrbot_root()
+    lock_file = astrbot_root / "astrbot.lock"
+    lock = FileLock(lock_file, timeout=5)
+
+    try:
+        with lock.acquire():
+            asyncio.run(initialize_astrbot(astrbot_root))
+    except Timeout:
+        raise click.ClickException("无法获取锁文件，请检查是否有其他实例正在运行")
+
+    except Exception as e:
+        raise click.ClickException(f"初始化失败: {e!s}")

astrbot/cli/commands/cmd_plug.py

@@ -0,0 +1,247 @@
+import re
+from pathlib import Path
+
+import click
+import shutil
+
+
+from ..utils import (
+    get_git_repo,
+    build_plug_list,
+    manage_plugin,
+    PluginStatus,
+    check_astrbot_root,
+    get_astrbot_root,
+)
+
+
+@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"
+        )
+    return (base / "data").resolve()
+
+
+def display_plugins(plugins, title=None, color=None):
+    if title:
+        click.echo(click.style(title, fg=color, bold=True))
+
+    click.echo(f"{'名称':<20} {'版本':<10} {'状态':<10} {'作者':<15} {'描述':<30}")
+    click.echo("-" * 85)
+
+    for p in plugins:
+        desc = p["desc"][:30] + ("..." if len(p["desc"]) > 30 else "")
+        click.echo(
+            f"{p['name']:<20} {p['version']:<10} {p['status']:<10} "
+            f"{p['author']:<15} {desc:<30}"
+        )
+
+
+@plug.command()
+@click.argument("name")
+def new(name: str):
+    """创建新插件"""
+    base_path = _get_data_path()
+    plug_path = base_path / "plugins" / name
+
+    if plug_path.exists():
+        raise click.ClickException(f"插件 {name} 已存在")
+
+    author = click.prompt("请输入插件作者", type=str)
+    desc = click.prompt("请输入插件描述", type=str)
+    version = click.prompt("请输入插件版本", type=str)
+    if not re.match(r"^\d+\.\d+(\.\d+)?$", version.lower().lstrip("v")):
+        raise click.ClickException("版本号必须为 x.y 或 x.y.z 格式")
+    repo = click.prompt("请输入插件仓库：", type=str)
+    if not repo.startswith("http"):
+        raise click.ClickException("仓库地址必须以 http 开头")
+
+    click.echo("下载插件模板...")
+    get_git_repo(
+        "https://github.com/Soulter/helloworld",
+        plug_path,
+    )
+
+    click.echo("重写插件信息...")
+    # 重写 metadata.yaml
+    with open(plug_path / "metadata.yaml", "w", encoding="utf-8") as f:
+        f.write(
+            f"name: {name}\n"
+            f"desc: {desc}\n"
+            f"version: {version}\n"
+            f"author: {author}\n"
+            f"repo: {repo}\n"
+        )
+
+    # 重写 README.md
+    with open(plug_path / "README.md", "w", encoding="utf-8") as f:
+        f.write(f"# {name}\n\n{desc}\n\n# 支持\n\n[帮助文档](https://astrbot.app)\n")
+
+    # 重写 main.py
+    with open(plug_path / "main.py", "r", encoding="utf-8") as f:
+        content = f.read()
+
+    new_content = content.replace(
+        '@register("helloworld", "YourName", "一个简单的 Hello World 插件", "1.0.0")',
+        f'@register("{name}", "{author}", "{desc}", "{version}")',
+    )
+
+    with open(plug_path / "main.py", "w", encoding="utf-8") as f:
+        f.write(new_content)
+
+    click.echo(f"插件 {name} 创建成功")
+
+
+@plug.command()
+@click.option("--all", "-a", is_flag=True, help="列出未安装的插件")
+def list(all: bool):
+    """列出插件"""
+    base_path = _get_data_path()
+    plugins = build_plug_list(base_path / "plugins")
+
+    # 未发布的插件
+    not_published_plugins = [
+        p for p in plugins if p["status"] == PluginStatus.NOT_PUBLISHED
+    ]
+    if not_published_plugins:
+        display_plugins(not_published_plugins, "未发布的插件", "red")
+
+    # 需要更新的插件
+    need_update_plugins = [
+        p for p in plugins if p["status"] == PluginStatus.NEED_UPDATE
+    ]
+    if need_update_plugins:
+        display_plugins(need_update_plugins, "需要更新的插件", "yellow")
+
+    # 已安装的插件
+    installed_plugins = [p for p in plugins if p["status"] == PluginStatus.INSTALLED]
+    if installed_plugins:
+        display_plugins(installed_plugins, "已安装的插件", "green")
+
+    # 未安装的插件
+    not_installed_plugins = [
+        p for p in plugins if p["status"] == PluginStatus.NOT_INSTALLED
+    ]
+    if not_installed_plugins and all:
+        display_plugins(not_installed_plugins, "未安装的插件", "blue")
+
+    if (
+        not any([not_published_plugins, need_update_plugins, installed_plugins])
+        and not all
+    ):
+        click.echo("未安装任何插件")
+
+
+@plug.command()
+@click.argument("name")
+@click.option("--proxy", help="代理服务器地址")
+def install(name: str, proxy: str | None):
+    """安装插件"""
+    base_path = _get_data_path()
+    plug_path = base_path / "plugins"
+    plugins = build_plug_list(base_path / "plugins")
+
+    plugin = next(
+        (
+            p
+            for p in plugins
+            if p["name"] == name and p["status"] == PluginStatus.NOT_INSTALLED
+        ),
+        None,
+    )
+
+    if not plugin:
+        raise click.ClickException(f"未找到可安装的插件 {name}，可能是不存在或已安装")
+
+    manage_plugin(plugin, plug_path, is_update=False, proxy=proxy)
+
+
+@plug.command()
+@click.argument("name")
+def remove(name: str):
+    """卸载插件"""
+    base_path = _get_data_path()
+    plugins = build_plug_list(base_path / "plugins")
+    plugin = next((p for p in plugins if p["name"] == name), None)
+
+    if not plugin or not plugin.get("local_path"):
+        raise click.ClickException(f"插件 {name} 不存在或未安装")
+
+    plugin_path = plugin["local_path"]
+
+    click.confirm(f"确定要卸载插件 {name} 吗?", default=False, abort=True)
+
+    try:
+        shutil.rmtree(plugin_path)
+        click.echo(f"插件 {name} 已卸载")
+    except Exception as e:
+        raise click.ClickException(f"卸载插件 {name} 失败: {e}")
+
+
+@plug.command()
+@click.argument("name", required=False)
+@click.option("--proxy", help="Github代理地址")
+def update(name: str, proxy: str | None):
+    """更新插件"""
+    base_path = _get_data_path()
+    plug_path = base_path / "plugins"
+    plugins = build_plug_list(base_path / "plugins")
+
+    if name:
+        plugin = next(
+            (
+                p
+                for p in plugins
+                if p["name"] == name and p["status"] == PluginStatus.NEED_UPDATE
+            ),
+            None,
+        )
+
+        if not plugin:
+            raise click.ClickException(f"插件 {name} 不需要更新或无法更新")
+
+        manage_plugin(plugin, plug_path, is_update=True, proxy=proxy)
+    else:
+        need_update_plugins = [
+            p for p in plugins if p["status"] == PluginStatus.NEED_UPDATE
+        ]
+
+        if not need_update_plugins:
+            click.echo("没有需要更新的插件")
+            return
+
+        click.echo(f"发现 {len(need_update_plugins)} 个插件需要更新")
+        for plugin in need_update_plugins:
+            plugin_name = plugin["name"]
+            click.echo(f"正在更新插件 {plugin_name}...")
+            manage_plugin(plugin, plug_path, is_update=True, proxy=proxy)
+
+
+@plug.command()
+@click.argument("query")
+def search(query: str):
+    """搜索插件"""
+    base_path = _get_data_path()
+    plugins = build_plug_list(base_path / "plugins")
+
+    matched_plugins = [
+        p
+        for p in plugins
+        if query.lower() in p["name"].lower()
+        or query.lower() in p["desc"].lower()
+        or query.lower() in p["author"].lower()
+    ]
+
+    if not matched_plugins:
+        click.echo(f"未找到匹配 '{query}' 的插件")
+        return
+
+    display_plugins(matched_plugins, f"搜索结果: '{query}'", "cyan")

astrbot/cli/commands/cmd_run.py

@@ -0,0 +1,63 @@
+import os
+import sys
+from pathlib import Path
+
+import click
+import asyncio
+import traceback
+
+from filelock import FileLock, Timeout
+
+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 logger, LogManager, LogBroker, db_helper
+    from astrbot.core.initial_loader import InitialLoader
+
+    await check_dashboard(astrbot_root / "data")
+
+    log_broker = LogBroker()
+    LogManager.set_queue_handler(logger, log_broker)
+    db = db_helper
+
+    core_lifecycle = InitialLoader(db, log_broker)
+
+    await core_lifecycle.start()
+
+
+@click.option("--reload", "-r", is_flag=True, help="插件自动重载")
+@click.option("--port", "-p", help="Astrbot Dashboard端口", required=False, type=str)
+@click.command()
+def run(reload: bool, port: str) -> None:
+    """运行 AstrBot"""
+    try:
+        os.environ["ASTRBOT_CLI"] = "1"
+        astrbot_root = get_astrbot_root()
+
+        if not check_astrbot_root(astrbot_root):
+            raise click.ClickException(
+                f"{astrbot_root}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)
+        sys.path.insert(0, str(astrbot_root))
+
+        if port:
+            os.environ["DASHBOARD_PORT"] = port
+
+        if reload:
+            click.echo("启用插件自动重载")
+            os.environ["ASTRBOT_RELOAD"] = "1"
+
+        lock_file = astrbot_root / "astrbot.lock"
+        lock = FileLock(lock_file, timeout=5)
+        with lock.acquire():
+            asyncio.run(run_astrbot(astrbot_root))
+    except KeyboardInterrupt:
+        click.echo("AstrBot 已关闭...")
+    except Timeout:
+        raise click.ClickException("无法获取锁文件，请检查是否有其他实例正在运行")
+    except Exception as e:
+        raise click.ClickException(f"运行时出现错误: {e}\n{traceback.format_exc()}")

astrbot/cli/utils/__init__.py

@@ -0,0 +1,18 @@
+from .basic import (
+    get_astrbot_root,
+    check_astrbot_root,
+    check_dashboard,
+)
+from .plugin import get_git_repo, manage_plugin, build_plug_list, PluginStatus
+from .version_comparator import VersionComparator
+
+__all__ = [
+    "get_astrbot_root",
+    "check_astrbot_root",
+    "check_dashboard",
+    "get_git_repo",
+    "manage_plugin",
+    "build_plug_list",
+    "VersionComparator",
+    "PluginStatus",
+]

astrbot/cli/utils/basic.py

@@ -0,0 +1,76 @@
+from pathlib import Path
+
+import click
+
+
+def check_astrbot_root(path: str | Path) -> bool:
+    """检查路径是否为 AstrBot 根目录"""
+    if not isinstance(path, Path):
+        path = Path(path)
+    if not path.exists() or not path.is_dir():
+        return False
+    if not (path / ".astrbot").exists():
+        return False
+    return True
+
+
+def get_astrbot_root() -> Path:
+    """获取Astrbot根目录路径"""
+    return Path.cwd()
+
+
+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 .version_comparator import VersionComparator
+
+    try:
+        dashboard_version = await get_dashboard_version()
+        match dashboard_version:
+            case None:
+                click.echo("未安装管理面板")
+                if click.confirm(
+                    "是否安装管理面板？",
+                    default=True,
+                    abort=True,
+                ):
+                    click.echo("正在安装管理面板...")
+                    await download_dashboard(
+                        path="data/dashboard.zip",
+                        extract_path=str(astrbot_root),
+                        version=f"v{VERSION}",
+                        latest=False,
+                    )
+                    click.echo("管理面板安装完成")
+
+            case str():
+                if VersionComparator.compare_version(VERSION, dashboard_version) <= 0:
+                    click.echo("管理面板已是最新版本")
+                    return
+                else:
+                    try:
+                        version = dashboard_version.split("v")[1]
+                        click.echo(f"管理面板版本: {version}")
+                        await download_dashboard(
+                            path="data/dashboard.zip",
+                            extract_path=str(astrbot_root),
+                            version=f"v{VERSION}",
+                            latest=False,
+                        )
+                    except Exception as e:
+                        click.echo(f"下载管理面板失败: {e}")
+                        return
+    except FileNotFoundError:
+        click.echo("初始化管理面板目录...")
+        try:
+            await download_dashboard(
+                path=str(astrbot_root / "dashboard.zip"),
+                extract_path=str(astrbot_root),
+                version=f"v{VERSION}",
+                latest=False,
+            )
+            click.echo("管理面板初始化完成")
+        except Exception as e:
+            click.echo(f"下载管理面板失败: {e}")
+            return

astrbot/cli/utils/plugin.py

@@ -0,0 +1,237 @@
+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
+from .version_comparator import VersionComparator
+
+
+class PluginStatus(str, Enum):
+    INSTALLED = "已安装"
+    NEED_UPDATE = "需更新"
+    NOT_INSTALLED = "未安装"
+    NOT_PUBLISHED = "未发布"
+
+
+def get_git_repo(url: str, target_path: Path, proxy: str | None = None):
+    """从 Git 仓库下载代码并解压到指定路径"""
+    temp_dir = Path(tempfile.mkdtemp())
+    try:
+        # 解析仓库信息
+        repo_namespace = url.split("/")[-2:]
+        author = repo_namespace[0]
+        repo = repo_namespace[1]
+
+        # 尝试获取最新的 release
+        release_url = f"https://api.github.com/repos/{author}/{repo}/releases"
+        try:
+            with httpx.Client(
+                proxy=proxy if proxy else None, follow_redirects=True
+            ) as client:
+                resp = client.get(release_url)
+                resp.raise_for_status()
+                releases = resp.json()
+
+                if releases:
+                    # 使用最新的 release
+                    download_url = releases[0]["zipball_url"]
+                else:
+                    # 没有 release，使用默认分支
+                    click.echo(f"正在从默认分支下载 {author}/{repo}")
+                    download_url = f"https://github.com/{author}/{repo}/archive/refs/heads/master.zip"
+        except Exception as e:
+            click.echo(f"获取 release 信息失败: {e}，将直接使用提供的 URL")
+            download_url = url
+
+        # 应用代理
+        if proxy:
+            download_url = f"{proxy}/{download_url}"
+
+        # 下载并解压
+        with httpx.Client(
+            proxy=proxy if proxy else None, follow_redirects=True
+        ) as client:
+            resp = client.get(download_url)
+            if (
+                resp.status_code == 404
+                and "archive/refs/heads/master.zip" in download_url
+            ):
+                alt_url = download_url.replace("master.zip", "main.zip")
+                click.echo("master 分支不存在，尝试下载 main 分支")
+                resp = client.get(alt_url)
+                resp.raise_for_status()
+            else:
+                resp.raise_for_status()
+            zip_content = BytesIO(resp.content)
+        with ZipFile(zip_content) as z:
+            z.extractall(temp_dir)
+            namelist = z.namelist()
+            root_dir = Path(namelist[0]).parts[0] if namelist else ""
+            if target_path.exists():
+                shutil.rmtree(target_path)
+            shutil.move(temp_dir / root_dir, target_path)
+    finally:
+        if temp_dir.exists():
+            shutil.rmtree(temp_dir, ignore_errors=True)
+
+
+def load_yaml_metadata(plugin_dir: Path) -> dict:
+    """从 metadata.yaml 文件加载插件元数据
+
+    Args:
+        plugin_dir: 插件目录路径
+
+    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():
+        try:
+            return yaml.safe_load(yaml_path.read_text(encoding="utf-8")) or {}
+        except Exception as e:
+            click.echo(f"读取 {yaml_path} 失败: {e}", err=True)
+    return {}
+
+
+def build_plug_list(plugins_dir: Path) -> list:
+    """构建插件列表，包含本地和在线插件信息
+
+    Args:
+        plugins_dir (Path): 插件目录路径
+
+    Returns:
+        list: 包含插件信息的字典列表
+    """
+    # 获取本地插件信息
+    result = []
+    if plugins_dir.exists():
+        for plugin_name in [d.name for d in plugins_dir.glob("*") if d.is_dir()]:
+            plugin_dir = plugins_dir / plugin_name
+
+            # 从 metadata.yaml 加载元数据
+            metadata = load_yaml_metadata(plugin_dir)
+
+            if "desc" not in metadata and "description" in metadata:
+                metadata["desc"] = metadata["description"]
+
+            # 如果成功加载元数据，添加到结果列表
+            if metadata and all(
+                k in metadata for k in ["name", "desc", "version", "author", "repo"]
+            ):
+                result.append(
+                    {
+                        "name": str(metadata.get("name", "")),
+                        "desc": str(metadata.get("desc", "")),
+                        "version": str(metadata.get("version", "")),
+                        "author": str(metadata.get("author", "")),
+                        "repo": str(metadata.get("repo", "")),
+                        "status": PluginStatus.INSTALLED,
+                        "local_path": str(plugin_dir),
+                    }
+                )
+
+    # 获取在线插件列表
+    online_plugins = []
+    try:
+        with httpx.Client() as client:
+            resp = client.get("https://api.soulter.top/astrbot/plugins")
+            resp.raise_for_status()
+            data = resp.json()
+            for plugin_id, plugin_info in data.items():
+                online_plugins.append(
+                    {
+                        "name": str(plugin_id),
+                        "desc": str(plugin_info.get("desc", "")),
+                        "version": str(plugin_info.get("version", "")),
+                        "author": str(plugin_info.get("author", "")),
+                        "repo": str(plugin_info.get("repo", "")),
+                        "status": PluginStatus.NOT_INSTALLED,
+                        "local_path": None,
+                    }
+                )
+    except Exception as e:
+        click.echo(f"获取在线插件列表失败: {e}", err=True)
+
+    # 与在线插件比对，更新状态
+    online_plugin_names = {plugin["name"] for plugin in online_plugins}
+    for local_plugin in result:
+        if local_plugin["name"] in online_plugin_names:
+            # 查找对应的在线插件
+            online_plugin = next(
+                p for p in online_plugins if p["name"] == local_plugin["name"]
+            )
+            if (
+                VersionComparator.compare_version(
+                    local_plugin["version"], online_plugin["version"]
+                )
+                < 0
+            ):
+                local_plugin["status"] = PluginStatus.NEED_UPDATE
+        else:
+            # 本地插件未在线上发布
+            local_plugin["status"] = PluginStatus.NOT_PUBLISHED
+
+    # 添加未安装的在线插件
+    for online_plugin in online_plugins:
+        if not any(plugin["name"] == online_plugin["name"] for plugin in result):
+            result.append(online_plugin)
+
+    return result
+
+
+def manage_plugin(
+    plugin: dict, plugins_dir: Path, is_update: bool = False, proxy: str | None = None
+) -> None:
+    """安装或更新插件
+
+    Args:
+        plugin (dict): 插件信息字典
+        plugins_dir (Path): 插件目录
+        is_update (bool, optional): 是否为更新操作. 默认为 False
+        proxy (str, optional): 代理服务器地址
+    """
+    plugin_name = plugin["name"]
+    repo_url = plugin["repo"]
+
+    # 如果是更新且有本地路径，直接使用本地路径
+    if is_update and plugin.get("local_path"):
+        target_path = Path(plugin["local_path"])
+    else:
+        target_path = plugins_dir / plugin_name
+
+    backup_path = Path(f"{target_path}_backup") if is_update else None
+
+    # 检查插件是否存在
+    if is_update and not target_path.exists():
+        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.exists():
+        shutil.rmtree(backup_path)
+    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}..."
+        )
+        get_git_repo(repo_url, target_path, proxy)
+
+        # 更新成功，删除备份
+        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.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}"
+        )

astrbot/cli/utils/version_comparator.py

@@ -0,0 +1,92 @@
+"""
+拷贝自 astrbot.core.utils.version_comparator
+"""
+
+import re
+
+
+class VersionComparator:
+    @staticmethod
+    def compare_version(v1: str, v2: str) -> int:
+        """根据 Semver 语义版本规范来比较版本号的大小。支持不仅局限于 3 个数字的版本号，并处理预发布标签。
+
+        参考: https://semver.org/lang/zh-CN/
+
+        返回 1 表示 v1 > v2，返回 -1 表示 v1 < v2，返回 0 表示 v1 = v2。
+        """
+        v1 = v1.lower().replace("v", "")
+        v2 = v2.lower().replace("v", "")
+
+        def split_version(version):
+            match = re.match(
+                r"^([0-9]+(?:\.[0-9]+)*)(?:-([0-9A-Za-z-]+(?:\.[0-9A-Za-z-]+)*))?(?:\+(.+))?$",
+                version,
+            )
+            if not match:
+                return [], None
+            major_minor_patch = match.group(1).split(".")
+            prerelease = match.group(2)
+            # buildmetadata = match.group(3) # 构建元数据在比较时忽略
+            parts = [int(x) for x in major_minor_patch]
+            prerelease = VersionComparator._split_prerelease(prerelease)
+            return parts, prerelease
+
+        v1_parts, v1_prerelease = split_version(v1)
+        v2_parts, v2_prerelease = split_version(v2)
+
+        # 比较数字部分
+        length = max(len(v1_parts), len(v2_parts))
+        v1_parts.extend([0] * (length - len(v1_parts)))
+        v2_parts.extend([0] * (length - len(v2_parts)))
+
+        for i in range(length):
+            if v1_parts[i] > v2_parts[i]:
+                return 1
+            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
+        elif v1_prerelease is not None and v2_prerelease is None:
+            return -1  # 有预发布标签的版本低于没有预发布标签的版本
+        elif v1_prerelease is not None and v2_prerelease is not None:
+            len_pre = max(len(v1_prerelease), len(v2_prerelease))
+            for i in range(len_pre):
+                p1 = v1_prerelease[i] if i < len(v1_prerelease) else None
+                p2 = v2_prerelease[i] if i < len(v2_prerelease) else None
+
+                if p1 is None and p2 is not None:
+                    return -1
+                elif p1 is not None and p2 is None:
+                    return 1
+                elif isinstance(p1, int) and isinstance(p2, str):
+                    return -1
+                elif isinstance(p1, str) and isinstance(p2, int):
+                    return 1
+                elif isinstance(p1, int) and isinstance(p2, int):
+                    if p1 > p2:
+                        return 1
+                    elif p1 < p2:
+                        return -1
+                elif isinstance(p1, str) and isinstance(p2, str):
+                    if p1 > p2:
+                        return 1
+                    elif p1 < p2:
+                        return -1
+            return 0  # 预发布标签完全相同
+
+        return 0  # 数字部分和预发布标签都相同
+
+    @staticmethod
+    def _split_prerelease(prerelease):
+        if not prerelease:
+            return None
+        parts = prerelease.split(".")
+        result = []
+        for part in parts:
+            if part.isdigit():
+                result.append(int(part))
+            else:
+                result.append(part)
+        return result

astrbot/core/__init__.py

@@ -0,0 +1,29 @@
+import os
+from .log import LogManager, LogBroker  # noqa
+from astrbot.core.utils.t2i.renderer import HtmlRenderer
+from astrbot.core.utils.shared_preferences import SharedPreferences
+from astrbot.core.utils.pip_installer import PipInstaller
+from astrbot.core.db.sqlite import SQLiteDatabase
+from astrbot.core.config.default import DB_PATH
+from astrbot.core.config import AstrBotConfig
+from astrbot.core.file_token_service import FileTokenService
+from .utils.astrbot_path import get_astrbot_data_path
+
+# 初始化数据存储文件夹
+os.makedirs(get_astrbot_data_path(), exist_ok=True)
+
+DEMO_MODE = os.getenv("DEMO_MODE", False)
+
+astrbot_config = AstrBotConfig()
+t2i_base_url = astrbot_config.get("t2i_endpoint", "https://t2i.soulter.top/text2img")
+html_renderer = HtmlRenderer(t2i_base_url)
+logger = LogManager.GetLogger(log_name="astrbot")
+db_helper = SQLiteDatabase(DB_PATH)
+# 简单的偏好设置存储, 这里后续应该存储到数据库中, 一些部分可以存储到配置中
+sp = SharedPreferences(db_helper=db_helper)
+# 文件令牌服务
+file_token_service = FileTokenService()
+pip_installer = PipInstaller(
+    astrbot_config.get("pip_install_arg", ""),
+    astrbot_config.get("pypi_index_url", None),
+)

astrbot/core/agent/agent.py

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

astrbot/core/agent/handoff.py

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

astrbot/core/agent/hooks.py

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

astrbot/core/agent/mcp_client.py

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

astrbot/core/agent/response.py

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

astrbot/core/agent/run_context.py

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

astrbot/core/agent/runners/__init__.py

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

astrbot/core/agent/runners/base.py

@@ -0,0 +1,58 @@
+import abc
+import typing as T
+from enum import Enum, auto
+from ..run_context import ContextWrapper, TContext
+from ..response import AgentResponse
+from ..hooks import BaseAgentRunHooks
+from ..tool_executor import BaseFunctionToolExecutor
+from astrbot.core.provider import Provider
+from astrbot.core.provider.entities import LLMResponse
+
+
+class AgentState(Enum):
+    """Defines the state of the agent."""
+
+    IDLE = auto()  # Initial state
+    RUNNING = auto()  # Currently processing
+    DONE = auto()  # Completed
+    ERROR = auto()  # Error state
+
+
+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.
+        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
+    def done(self) -> bool:
+        """
+        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.
+        This method should be called after the agent is done.
+        """
+        ...

astrbot/core/agent/runners/tool_loop_agent_runner.py

@@ -0,0 +1,313 @@
+import sys
+import traceback
+import typing as T
+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 (
+    ProviderRequest,
+    LLMResponse,
+    ToolCallMessageSegment,
+    AssistantMessageSegment,
+    ToolCallsResult,
+)
+from mcp.types import (
+    TextContent,
+    ImageContent,
+    EmbeddedResource,
+    TextResourceContents,
+    BlobResourceContents,
+    CallToolResult,
+)
+from astrbot import logger
+
+if sys.version_info >= (3, 12):
+    from typing import override
+else:
+    from typing_extensions import override
+
+
+class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
+    @override
+    async def reset(
+        self,
+        provider: Provider,
+        request: ProviderRequest,
+        run_context: ContextWrapper[TContext],
+        tool_executor: BaseFunctionToolExecutor[TContext],
+        agent_hooks: BaseAgentRunHooks[TContext],
+        **kwargs: T.Any,
+    ) -> None:
+        self.req = request
+        self.streaming = kwargs.get("streaming", False)
+        self.provider = provider
+        self.final_llm_resp = None
+        self._state = AgentState.IDLE
+        self.tool_executor = tool_executor
+        self.agent_hooks = agent_hooks
+        self.run_context = run_context
+
+    def _transition_state(self, new_state: AgentState) -> None:
+        """转换 Agent 状态"""
+        if self._state != new_state:
+            logger.debug(f"Agent state transition: {self._state} -> {new_state}")
+            self._state = new_state
+
+    async def _iter_llm_responses(self) -> T.AsyncGenerator[LLMResponse, None]:
+        """Yields chunks *and* a final LLMResponse."""
+        if self.streaming:
+            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(**self.req.__dict__)
+
+    @override
+    async def step(self):
+        """
+        Process a single step of the agent.
+        This method should return the result of the step.
+        """
+        if not self.req:
+            raise ValueError("Request is not set. Please call reset() first.")
+
+        if self._state == AgentState.IDLE:
+            try:
+                await self.agent_hooks.on_agent_begin(self.run_context)
+            except Exception as e:
+                logger.error(f"Error in on_agent_begin hook: {e}", exc_info=True)
+
+        # 开始处理，转换到运行状态
+        self._transition_state(AgentState.RUNNING)
+        llm_resp_result = None
+
+        async for llm_response in self._iter_llm_responses():
+            assert isinstance(llm_response, LLMResponse)
+            if llm_response.is_chunk:
+                if llm_response.result_chain:
+                    yield AgentResponse(
+                        type="streaming_delta",
+                        data=AgentResponseData(chain=llm_response.result_chain),
+                    )
+                else:
+                    yield AgentResponse(
+                        type="streaming_delta",
+                        data=AgentResponseData(
+                            chain=MessageChain().message(llm_response.completion_text)
+                        ),
+                    )
+                continue
+            llm_resp_result = llm_response
+            break  # got final response
+
+        if not llm_resp_result:
+            return
+
+        # 处理 LLM 响应
+        llm_resp = llm_resp_result
+
+        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._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'}"
+                    )
+                ),
+            )
+
+        if not llm_resp.tools_call_name:
+            # 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)
+            try:
+                await self.agent_hooks.on_agent_done(self.run_context, llm_resp)
+            except Exception as e:
+                logger.error(f"Error in on_agent_done hook: {e}", exc_info=True)
+
+        # 返回 LLM 结果
+        if llm_resp.result_chain:
+            yield AgentResponse(
+                type="llm_result",
+                data=AgentResponseData(chain=llm_resp.result_chain),
+            )
+        elif llm_resp.completion_text:
+            yield AgentResponse(
+                type="llm_result",
+                data=AgentResponseData(
+                    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):
+                    yield AgentResponse(
+                        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(
+                    role="assistant",
+                    tool_calls=llm_resp.to_openai_tool_calls(),
+                    content=llm_resp.completion_text,
+                ),
+                tool_calls_result=tool_call_result_blocks,
+            )
+            self.req.append_tool_calls_result(tool_calls_result)
+
+    async def _handle_function_tools(
+        self,
+        req: ProviderRequest,
+        llm_response: LLMResponse,
+    ) -> T.AsyncGenerator[MessageChain | list[ToolCallMessageSegment], None]:
+        """处理函数工具调用。"""
+        tool_call_result_blocks: list[ToolCallMessageSegment] = []
+        logger.info(f"Agent 使用工具: {llm_response.tools_call_name}")
+
+        # 执行函数调用
+        for func_tool_name, func_tool_args, func_tool_id in zip(
+            llm_response.tools_call_name,
+            llm_response.tools_call_args,
+            llm_response.tools_call_ids,
+        ):
+            try:
+                if not req.func_tool:
+                    return
+                func_tool = req.func_tool.get_func(func_tool_name)
+                logger.info(f"使用工具：{func_tool_name}，参数：{func_tool_args}")
+
+                try:
+                    await self.agent_hooks.on_tool_start(
+                        self.run_context, func_tool, func_tool_args
+                    )
+                except Exception as e:
+                    logger.error(f"Error in on_tool_start hook: {e}", exc_info=True)
+
+                executor = self.tool_executor.execute(
+                    tool=func_tool,
+                    run_context=self.run_context,
+                    **func_tool_args,
+                )
+                async for resp in executor:
+                    if isinstance(resp, CallToolResult):
+                        res = resp
+                        if isinstance(res.content[0], TextContent):
+                            tool_call_result_blocks.append(
+                                ToolCallMessageSegment(
+                                    role="tool",
+                                    tool_call_id=func_tool_id,
+                                    content=res.content[0].text,
+                                )
+                            )
+                            yield MessageChain().message(res.content[0].text)
+                        elif isinstance(res.content[0], ImageContent):
+                            tool_call_result_blocks.append(
+                                ToolCallMessageSegment(
+                                    role="tool",
+                                    tool_call_id=func_tool_id,
+                                    content="返回了图片(已直接发送给用户)",
+                                )
+                            )
+                            yield MessageChain(type="tool_direct_result").base64_image(
+                                res.content[0].data
+                            )
+                        elif isinstance(res.content[0], EmbeddedResource):
+                            resource = res.content[0].resource
+                            if isinstance(resource, TextResourceContents):
+                                tool_call_result_blocks.append(
+                                    ToolCallMessageSegment(
+                                        role="tool",
+                                        tool_call_id=func_tool_id,
+                                        content=resource.text,
+                                    )
+                                )
+                                yield MessageChain().message(resource.text)
+                            elif (
+                                isinstance(resource, BlobResourceContents)
+                                and resource.mimeType
+                                and resource.mimeType.startswith("image/")
+                            ):
+                                tool_call_result_blocks.append(
+                                    ToolCallMessageSegment(
+                                        role="tool",
+                                        tool_call_id=func_tool_id,
+                                        content="返回了图片(已直接发送给用户)",
+                                    )
+                                )
+                                yield MessageChain(
+                                    type="tool_direct_result"
+                                ).base64_image(resource.blob)
+                            else:
+                                tool_call_result_blocks.append(
+                                    ToolCallMessageSegment(
+                                        role="tool",
+                                        tool_call_id=func_tool_id,
+                                        content="返回的数据类型不受支持",
+                                    )
+                                )
+                                yield MessageChain().message("返回的数据类型不受支持。")
+
+                    elif resp is None:
+                        # Tool 直接请求发送消息给用户
+                        # 这里我们将直接结束 Agent Loop。
+                        self._transition_state(AgentState.DONE)
+                        if res := self.run_context.event.get_result():
+                            if res.chain:
+                                yield MessageChain(
+                                    chain=res.chain, type="tool_direct_result"
+                                )
+                    else:
+                        logger.warning(
+                            f"Tool 返回了不支持的类型: {type(resp)}，将忽略。"
+                        )
+
+                try:
+                    await self.agent_hooks.on_tool_end(
+                        self.run_context, func_tool, func_tool_args, None
+                    )
+                except Exception as e:
+                    logger.error(f"Error in on_tool_end hook: {e}", exc_info=True)
+
+                self.run_context.event.clear_result()
+            except Exception as e:
+                logger.warning(traceback.format_exc())
+                tool_call_result_blocks.append(
+                    ToolCallMessageSegment(
+                        role="tool",
+                        tool_call_id=func_tool_id,
+                        content=f"error: {str(e)}",
+                    )
+                )
+
+        # 处理函数调用响应
+        if tool_call_result_blocks:
+            yield tool_call_result_blocks
+
+    def done(self) -> bool:
+        """检查 Agent 是否已完成工作"""
+        return self._state in (AgentState.DONE, AgentState.ERROR)
+
+    def get_final_llm_resp(self) -> LLMResponse | None:
+        return self.final_llm_resp

astrbot/core/agent/tool.py

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

astrbot/core/agent/tool_executor.py

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

astrbot/core/astr_agent_context.py

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

astrbot/core/astrbot_config_mgr.py

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

astrbot/core/config/__init__.py

@@ -0,0 +1,9 @@
+from .default import DEFAULT_CONFIG, VERSION, DB_PATH
+from .astrbot_config import *
+
+__all__ = [
+    "DEFAULT_CONFIG",
+    "VERSION",
+    "DB_PATH",
+    "AstrBotConfig",
+]

astrbot/core/config/astrbot_config.py

@@ -0,0 +1,170 @@
+import os
+import json
+import logging
+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")
+
+
+class RateLimitStrategy(enum.Enum):
+    STALL = "stall"
+    DISCARD = "discard"
+
+
+class AstrBotConfig(dict):
+    """从配置文件中加载的配置，支持直接通过点号操作符访问根配置项。
+
+    - 初始化时会将传入的 default_config 与配置文件进行比对，如果配置文件中缺少配置项则会自动插入默认值并进行一次写入操作。会递归检查配置项。
+    - 如果配置文件路径对应的文件不存在，则会自动创建并写入默认配置。
+    - 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。
+    """
+
+    def __init__(
+        self,
+        config_path: str = ASTRBOT_CONFIG_PATH,
+        default_config: dict = DEFAULT_CONFIG,
+        schema: dict = None,
+    ):
+        super().__init__()
+
+        # 调用父类的 __setattr__ 方法，防止保存配置时将此属性写入配置文件
+        object.__setattr__(self, "config_path", config_path)
+        object.__setattr__(self, "default_config", default_config)
+        object.__setattr__(self, "schema", schema)
+
+        if schema:
+            default_config = self._config_schema_to_default_config(schema)
+
+        if not self.check_exist():
+            """不存在时载入默认配置"""
+            with open(config_path, "w", encoding="utf-8-sig") as f:
+                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, "r", encoding="utf-8-sig") as f:
+            conf_str = f.read()
+            conf = json.loads(conf_str)
+
+        # 检查配置完整性，并插入
+        has_new = self.check_config_integrity(default_config, conf)
+        self.update(conf)
+        if has_new:
+            self.save_config()
+
+        self.update(conf)
+
+    def _config_schema_to_default_config(self, schema: dict) -> dict:
+        """将 Schema 转换成 Config"""
+        conf = {}
+
+        def _parse_schema(schema: dict, conf: 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()}"
+                    )
+                if "default" in v:
+                    default = v["default"]
+                else:
+                    default = DEFAULT_VALUE_MAP[v["type"]]
+
+                if v["type"] == "object":
+                    conf[k] = {}
+                    _parse_schema(v["items"], conf[k])
+                else:
+                    conf[k] = default
+
+        _parse_schema(schema, conf)
+
+        return conf
+
+    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
+
+        # 创建一个新的有序字典以保持参考配置的顺序
+        new_conf = {}
+
+        # 先按照参考配置的顺序添加配置项
+        for key, value in refer_conf.items():
+            if key not in conf:
+                # 配置项不存在，插入默认值
+                path_ = path + "." + key if path else key
+                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
+            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:
+                    # 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()):
+            if key not in refer_conf:
+                path_ = path + "." + key if path else key
+                logger.info(f"检查到配置项 {path_} 不存在，将从当前配置中删除")
+                has_new = True
+
+        # 顺序不一致也算作变更
+        if list(conf.keys()) != list(new_conf.keys()):
+            if path:
+                logger.info(f"检查到配置项 {path} 的子项顺序不一致，已重新排序")
+            else:
+                logger.info("检查到配置项顺序不一致，已重新排序")
+            has_new = True
+
+        # 更新原始配置
+        conf.clear()
+        conf.update(new_conf)
+
+        return has_new
+
+    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
+        """
+        if replace_config:
+            self.update(replace_config)
+        with open(self.config_path, "w", encoding="utf-8-sig") as f:
+            json.dump(self, f, indent=2, ensure_ascii=False)
+
+    def __getattr__(self, item):
+        try:
+            return self[item]
+        except KeyError:
+            return None
+
+    def __delattr__(self, key):
+        try:
+            del self[key]
+            self.save_config()
+        except KeyError:
+            raise AttributeError(f"没有找到 Key: '{key}'")
+
+    def __setattr__(self, key, value):
+        self[key] = value
+
+    def check_exist(self) -> bool:
+        return os.path.exists(self.config_path)

astrbot/core/conversation_mgr.py

@@ -0,0 +1,305 @@
+"""
+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 astrbot.core import sp
+from typing import Dict, List
+from astrbot.core.db import BaseDatabase
+from astrbot.core.db.po import Conversation, ConversationV2
+
+
+class ConversationManager:
+    """负责管理会话与 LLM 的对话，某个会话当前正在用哪个对话。"""
+
+    def __init__(self, db_helper: BaseDatabase):
+        self.session_conversations: Dict[str, str] = {}
+        self.db = db_helper
+        self.save_interval = 60  # 每 60 秒保存一次
+
+    def _convert_conv_from_v2_to_v1(self, conv_v2: ConversationV2) -> Conversation:
+        """将 ConversationV2 对象转换为 Conversation 对象"""
+        created_at = int(conv_v2.created_at.timestamp())
+        updated_at = int(conv_v2.updated_at.timestamp())
+        return Conversation(
+            platform_id=conv_v2.platform_id,
+            user_id=conv_v2.user_id,
+            cid=conv_v2.conversation_id,
+            history=json.dumps(conv_v2.content or []),
+            title=conv_v2.title,
+            persona_id=conv_v2.persona_id,
+            created_at=created_at,
+            updated_at=updated_at,
+        )
+
+    async def new_conversation(
+        self,
+        unified_msg_origin: str,
+        platform_id: str | None = None,
+        content: list[dict] | None = None,
+        title: str | None = None,
+        persona_id: str | None = None,
+    ) -> str:
+        """新建对话，并将当前会话的对话转移到新对话
+
+        Args:
+            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
+            parts = unified_msg_origin.split(":")
+            if len(parts) >= 3:
+                platform_id = parts[0]
+        if not platform_id:
+            platform_id = "unknown"
+        conv = await self.db.create_conversation(
+            user_id=unified_msg_origin,
+            platform_id=platform_id,
+            content=content,
+            title=title,
+            persona_id=persona_id,
+        )
+        self.session_conversations[unified_msg_origin] = conv.conversation_id
+        await sp.session_put(unified_msg_origin, "sel_conv_id", conv.conversation_id)
+        return conv.conversation_id
+
+    async def switch_conversation(self, unified_msg_origin: str, conversation_id: str):
+        """切换会话的对话
+
+        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
+    ):
+        """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)
+        if conversation_id:
+            await self.db.delete_conversation(cid=conversation_id)
+            curr_cid = await self.get_curr_conversation_id(unified_msg_origin)
+            if curr_cid == conversation_id:
+                self.session_conversations.pop(unified_msg_origin, None)
+                await sp.session_remove(unified_msg_origin, "sel_conv_id")
+
+    async def delete_conversations_by_user_id(self, unified_msg_origin: str):
+        """删除会话的所有对话
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+        """
+        await self.db.delete_conversations_by_user_id(user_id=unified_msg_origin)
+        self.session_conversations.pop(unified_msg_origin, None)
+        await sp.session_remove(unified_msg_origin, "sel_conv_id")
+
+    async def get_curr_conversation_id(self, unified_msg_origin: str) -> str | None:
+        """获取会话当前的对话 ID
+
+        Args:
+            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:
+            ret = await sp.session_get(unified_msg_origin, "sel_conv_id", None)
+            if ret:
+                self.session_conversations[unified_msg_origin] = ret
+        return ret
+
+    async def get_conversation(
+        self,
+        unified_msg_origin: str,
+        conversation_id: str,
+        create_if_not_exists: bool = False,
+    ) -> Conversation | None:
+        """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
+        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:
+            # 如果对话不存在且需要创建，则新建一个对话
+            conversation_id = await self.new_conversation(unified_msg_origin)
+            conv = await self.db.get_conversation_by_id(cid=conversation_id)
+        conv_res = None
+        if conv:
+            conv_res = self._convert_conv_from_v2_to_v1(conv)
+        return conv_res
+
+    async def get_conversations(
+        self, unified_msg_origin: str | 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
+        )
+        convs_res = []
+        for conv in convs:
+            conv_res = self._convert_conv_from_v2_to_v1(conv)
+            convs_res.append(conv_res)
+        return convs_res
+
+    async def get_filtered_conversations(
+        self,
+        page: int = 1,
+        page_size: int = 20,
+        platform_ids: list[str] | None = None,
+        search_query: str = "",
+        **kwargs,
+    ) -> tuple[list[Conversation], int]:
+        """获取过滤后的对话列表
+
+        Args:
+            page (int): 页码, 默认为 1
+            page_size (int): 每页大小, 默认为 20
+            platform_ids (list[str]): 平台 ID 列表, 可选
+            search_query (str): 搜索查询字符串, 可选
+        Returns:
+            conversations (list[Conversation]): 对话对象列表
+        """
+        convs, cnt = await self.db.get_filtered_conversations(
+            page=page,
+            page_size=page_size,
+            platform_ids=platform_ids,
+            search_query=search_query,
+            **kwargs,
+        )
+        convs_res = []
+        for conv in convs:
+            conv_res = self._convert_conv_from_v2_to_v1(conv)
+            convs_res.append(conv_res)
+        return convs_res, cnt
+
+    async def update_conversation(
+        self,
+        unified_msg_origin: str,
+        conversation_id: str | None = None,
+        history: list[dict] | None = None,
+        title: str | None = None,
+        persona_id: str | None = None,
+    ):
+        """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
+            conversation_id = await self.get_curr_conversation_id(unified_msg_origin)
+        if conversation_id:
+            await self.db.update_conversation(
+                cid=conversation_id,
+                title=title,
+                persona_id=persona_id,
+                content=history,
+            )
+
+    async def update_conversation_title(
+        self, unified_msg_origin: str, title: str, conversation_id: str | None = None
+    ):
+        """更新会话的对话标题
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            title (str): 对话标题
+
+        Deprecated:
+            Use `update_conversation` with `title` parameter instead.
+        """
+        await self.update_conversation(
+            unified_msg_origin=unified_msg_origin,
+            conversation_id=conversation_id,
+            title=title,
+        )
+
+    async def update_conversation_persona_id(
+        self,
+        unified_msg_origin: str,
+        persona_id: str,
+        conversation_id: str | None = None,
+    ):
+        """更新会话的对话 Persona ID
+
+        Args:
+            unified_msg_origin (str): 统一的消息来源字符串。格式为 platform_name:message_type:session_id
+            persona_id (str): 对话 Persona ID
+
+        Deprecated:
+            Use `update_conversation` with `persona_id` parameter instead.
+        """
+        await self.update_conversation(
+            unified_msg_origin=unified_msg_origin,
+            conversation_id=conversation_id,
+            persona_id=persona_id,
+        )
+
+    async def get_human_readable_context(
+        self, unified_msg_origin, conversation_id, page=1, page_size=10
+    ):
+        """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)
+        history = json.loads(conversation.history)
+
+        contexts = []
+        temp_contexts = []
+        for record in history:
+            if record["role"] == "user":
+                temp_contexts.append(f"User: {record['content']}")
+            elif record["role"] == "assistant":
+                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
+                    )
+                    temp_contexts.append(f"Assistant: [函数调用] {tool_calls_str}")
+                else:
+                    temp_contexts.append("Assistant: [未知的内容]")
+                contexts.insert(0, temp_contexts)
+                temp_contexts = []
+
+        # 展平 contexts 列表
+        contexts = [item for sublist in contexts for item in sublist]
+
+        # 计算分页
+        paged_contexts = contexts[(page - 1) * page_size : page * page_size]
+        total_pages = len(contexts) // page_size
+        if len(contexts) % page_size != 0:
+            total_pages += 1
+
+        return paged_contexts, total_pages

astrbot/core/core_lifecycle.py

@@ -0,0 +1,297 @@
+"""
+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。
+
+工作流程:
+1. 初始化所有组件
+2. 启动事件总线和任务, 所有任务都在这里运行
+3. 执行启动完成事件钩子
+"""
+
+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 typing import List
+from astrbot.core.pipeline.scheduler import PipelineScheduler, PipelineContext
+from astrbot.core.star import PluginManager
+from astrbot.core.platform.manager import PlatformManager
+from astrbot.core.star.context import Context
+from astrbot.core.persona_mgr import PersonaManager
+from astrbot.core.provider.manager import ProviderManager
+from astrbot.core import LogBroker
+from astrbot.core.db import BaseDatabase
+from astrbot.core.updator import AstrBotUpdator
+from astrbot.core import logger, sp
+from astrbot.core.config.default import VERSION
+from astrbot.core.conversation_mgr import ConversationManager
+from astrbot.core.platform_message_history_mgr import PlatformMessageHistoryManager
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
+from astrbot.core.star.star_handler import star_handlers_registry, EventType
+from astrbot.core.star.star_handler import star_map
+
+
+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。
+    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):
+        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
+
+        # 设置代理
+        proxy_config = self.astrbot_config.get("http_proxy", "")
+        if proxy_config != "":
+            os.environ["https_proxy"] = proxy_config
+            os.environ["http_proxy"] = proxy_config
+            logger.debug(f"Using proxy: {proxy_config}")
+            # 设置 no_proxy
+            no_proxy_list = self.astrbot_config.get("no_proxy", [])
+            os.environ["no_proxy"] = ",".join(no_proxy_list)
+        else:
+            # 清空代理环境变量
+            if "https_proxy" in os.environ:
+                del os.environ["https_proxy"]
+            if "http_proxy" in os.environ:
+                del os.environ["http_proxy"]
+            if "no_proxy" in os.environ:
+                del os.environ["no_proxy"]
+            logger.debug("HTTP proxy cleared")
+
+    async def initialize(self):
+        """
+        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", ""):
+            logger.setLevel("DEBUG")  # 测试模式下设置日志级别为 DEBUG
+        else:
+            logger.setLevel(self.astrbot_config["log_level"])  # 设置日志级别
+
+        await self.db.initialize()
+
+        await html_renderer.initialize()
+
+        # 初始化 AstrBot 配置管理器
+        self.astrbot_config_mgr = AstrBotConfigManager(
+            default_config=self.astrbot_config, sp=sp
+        )
+
+        # 初始化事件队列
+        self.event_queue = Queue()
+
+        # 初始化人格管理器
+        self.persona_mgr = PersonaManager(self.db, self.astrbot_config_mgr)
+        await self.persona_mgr.initialize()
+
+        # 初始化供应商管理器
+        self.provider_manager = ProviderManager(
+            self.astrbot_config_mgr, self.db, self.persona_mgr
+        )
+
+        # 初始化平台管理器
+        self.platform_manager = PlatformManager(self.astrbot_config, self.event_queue)
+
+        # 初始化对话管理器
+        self.conversation_manager = ConversationManager(self.db)
+
+        # 初始化平台消息历史管理器
+        self.platform_message_history_manager = PlatformMessageHistoryManager(self.db)
+
+        # 初始化提供给插件的上下文
+        self.star_context = Context(
+            self.event_queue,
+            self.astrbot_config,
+            self.db,
+            self.provider_manager,
+            self.platform_manager,
+            self.conversation_manager,
+            self.platform_message_history_manager,
+            self.persona_mgr,
+            self.astrbot_config_mgr,
+        )
+
+        # 初始化插件管理器
+        self.plugin_manager = PluginManager(self.star_context, self.astrbot_config)
+
+        # 扫描、注册插件、实例化插件类
+        await self.plugin_manager.reload()
+
+        # 根据配置实例化各个 Provider
+        await self.provider_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
+        self.astrbot_updator = AstrBotUpdator()
+
+        # 初始化事件总线
+        self.event_bus = EventBus(
+            self.event_queue, self.pipeline_scheduler_mapping, self.astrbot_config_mgr
+        )
+
+        # 记录启动时间
+        self.start_time = int(time.time())
+
+        # 初始化当前任务列表
+        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()
+
+        # 初始化关闭控制面板的事件
+        self.dashboard_shutdown_event = asyncio.Event()
+
+    def _load(self):
+        """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"
+        )
+
+        # 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__))
+
+        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())
+            )
+
+        self.start_time = int(time.time())
+
+    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
+        except asyncio.CancelledError:
+            pass  # 任务被取消, 静默处理
+        except Exception as e:
+            # 获取完整的异常堆栈信息, 按行分割并记录到日志中
+            logger.error(f"------- 任务 {task.get_name()} 发生错误: {e}")
+            for line in traceback.format_exc().split("\n"):
+                logger.error(f"|    {line}")
+            logger.error("-------")
+
+    async def 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
+        )
+        for handler in handlers:
+            try:
+                logger.info(
+                    f"hook(on_astrbot_loaded) -> {star_map[handler.handler_module_path].name} - {handler.handler_name}"
+                )
+                await handler.handler()
+            except BaseException:
+                logger.error(traceback.format_exc())
+
+        # 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):
+        """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()
+
+        for plugin in self.plugin_manager.context.get_all_stars():
+            try:
+                await self.plugin_manager._terminate_plugin(plugin)
+            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。"
+                )
+
+        await self.provider_manager.terminate()
+        await self.platform_manager.terminate()
+        self.dashboard_shutdown_event.set()
+
+        # 再次遍历curr_tasks等待每个任务真正结束
+        for task in self.curr_tasks:
+            try:
+                await task
+            except asyncio.CancelledError:
+                pass
+            except Exception as e:
+                logger.error(f"任务 {task.get_name()} 发生错误: {e}")
+
+    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()
+        self.dashboard_shutdown_event.set()
+        threading.Thread(
+            target=self.astrbot_updator._reboot, name="restart", daemon=True
+        ).start()
+
+    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()
+        for platform_inst in platform_insts:
+            tasks.append(
+                asyncio.create_task(
+                    platform_inst.run(),
+                    name=f"{platform_inst.meta().id}({platform_inst.meta().name})",
+                )
+            )
+        return tasks
+
+    async def load_pipeline_scheduler(self) -> dict[str, PipelineScheduler]:
+        """加载消息事件流水线调度器
+
+        Returns:
+            dict[str, PipelineScheduler]: 平台 ID 到流水线调度器的映射
+        """
+        mapping = {}
+        for conf_id, ab_config in self.astrbot_config_mgr.confs.items():
+            scheduler = PipelineScheduler(
+                PipelineContext(ab_config, self.plugin_manager, conf_id)
+            )
+            await scheduler.initialize()
+            mapping[conf_id] = scheduler
+        return mapping
+
+    async def reload_pipeline_scheduler(self, conf_id: str):
+        """重新加载消息事件流水线调度器
+
+        Returns:
+            dict[str, PipelineScheduler]: 平台 ID 到流水线调度器的映射
+        """
+        ab_config = self.astrbot_config_mgr.confs.get(conf_id)
+        if not ab_config:
+            raise ValueError(f"配置文件 {conf_id} 不存在")
+        scheduler = PipelineScheduler(
+            PipelineContext(ab_config, self.plugin_manager, conf_id)
+        )
+        await scheduler.initialize()
+        self.pipeline_scheduler_mapping[conf_id] = scheduler

astrbot/core/db/__init__.py

@@ -0,0 +1,300 @@
+import abc
+import datetime
+import typing as T
+from deprecated import deprecated
+from dataclasses import dataclass
+from astrbot.core.db.po import (
+    Stats,
+    PlatformStat,
+    ConversationV2,
+    PlatformMessageHistory,
+    Attachment,
+    Persona,
+    Preference,
+)
+from contextlib import asynccontextmanager
+from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
+from sqlalchemy.orm import sessionmaker
+
+
+@dataclass
+class BaseDatabase(abc.ABC):
+    """
+    数据库基类
+    """
+
+    DATABASE_URL = ""
+
+    def __init__(self) -> None:
+        self.engine = create_async_engine(
+            self.DATABASE_URL,
+            echo=False,
+            future=True,
+        )
+        self.AsyncSessionLocal = sessionmaker(
+            self.engine, class_=AsyncSession, expire_on_commit=False
+        )
+
+    async def initialize(self):
+        """初始化数据库连接"""
+        pass
+
+    @asynccontextmanager
+    async def get_db(self) -> T.AsyncGenerator[AsyncSession, None]:
+        """Get a database session."""
+        if not self.inited:
+            await self.initialize()
+            self.inited = True
+        async with self.AsyncSessionLocal() as session:
+            yield session
+
+    @deprecated(version="4.0.0", reason="Use get_platform_stats instead")
+    @abc.abstractmethod
+    def get_base_stats(self, offset_sec: int = 86400) -> Stats:
+        """获取基础统计数据"""
+        raise NotImplementedError
+
+    @deprecated(version="4.0.0", reason="Use get_platform_stats instead")
+    @abc.abstractmethod
+    def get_total_message_count(self) -> int:
+        """获取总消息数"""
+        raise NotImplementedError
+
+    @deprecated(version="4.0.0", reason="Use get_platform_stats instead")
+    @abc.abstractmethod
+    def get_grouped_base_stats(self, offset_sec: int = 86400) -> Stats:
+        """获取基础统计数据(合并)"""
+        raise NotImplementedError
+
+    # New methods in v4.0.0
+
+    @abc.abstractmethod
+    async def insert_platform_stats(
+        self,
+        platform_id: str,
+        platform_type: str,
+        count: int = 1,
+        timestamp: datetime.datetime | None = None,
+    ) -> None:
+        """Insert a new platform statistic record."""
+        ...
+
+    @abc.abstractmethod
+    async def count_platform_stats(self) -> int:
+        """Count the number of platform statistics records."""
+        ...
+
+    @abc.abstractmethod
+    async def get_platform_stats(self, offset_sec: int = 86400) -> list[PlatformStat]:
+        """Get platform statistics within the specified offset in seconds and group by platform_id."""
+        ...
+
+    @abc.abstractmethod
+    async def get_conversations(
+        self, user_id: str | None = None, platform_id: str | None = None
+    ) -> list[ConversationV2]:
+        """Get all conversations for a specific user and platform_id(optional).
+
+        content is not included in the result.
+        """
+        ...
+
+    @abc.abstractmethod
+    async def get_conversation_by_id(self, cid: str) -> ConversationV2:
+        """Get a specific conversation by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def get_all_conversations(
+        self, page: int = 1, page_size: int = 20
+    ) -> list[ConversationV2]:
+        """Get all conversations with pagination."""
+        ...
+
+    @abc.abstractmethod
+    async def get_filtered_conversations(
+        self,
+        page: int = 1,
+        page_size: int = 20,
+        platform_ids: list[str] | None = None,
+        search_query: str = "",
+        **kwargs,
+    ) -> tuple[list[ConversationV2], int]:
+        """Get conversations filtered by platform IDs and search query."""
+        ...
+
+    @abc.abstractmethod
+    async def create_conversation(
+        self,
+        user_id: str,
+        platform_id: str,
+        content: list[dict] | None = None,
+        title: str | None = None,
+        persona_id: str | None = None,
+        cid: str | None = None,
+        created_at: datetime.datetime | None = None,
+        updated_at: datetime.datetime | None = None,
+    ) -> ConversationV2:
+        """Create a new conversation."""
+        ...
+
+    @abc.abstractmethod
+    async def update_conversation(
+        self,
+        cid: str,
+        title: str | None = None,
+        persona_id: str | None = None,
+        content: list[dict] | None = None,
+    ) -> None:
+        """Update a conversation's history."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_conversation(self, cid: str) -> None:
+        """Delete a conversation by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_conversations_by_user_id(self, user_id: str) -> None:
+        """Delete all conversations for a specific user."""
+        ...
+
+    @abc.abstractmethod
+    async def insert_platform_message_history(
+        self,
+        platform_id: str,
+        user_id: str,
+        content: dict,
+        sender_id: str | None = None,
+        sender_name: str | None = None,
+    ) -> None:
+        """Insert a new platform message history record."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_platform_message_offset(
+        self, platform_id: str, user_id: str, offset_sec: int = 86400
+    ) -> None:
+        """Delete platform message history records older than the specified offset."""
+        ...
+
+    @abc.abstractmethod
+    async def get_platform_message_history(
+        self,
+        platform_id: str,
+        user_id: str,
+        page: int = 1,
+        page_size: int = 20,
+    ) -> list[PlatformMessageHistory]:
+        """Get platform message history for a specific user."""
+        ...
+
+    @abc.abstractmethod
+    async def insert_attachment(
+        self,
+        path: str,
+        type: str,
+        mime_type: str,
+    ):
+        """Insert a new attachment record."""
+        ...
+
+    @abc.abstractmethod
+    async def get_attachment_by_id(self, attachment_id: str) -> Attachment:
+        """Get an attachment by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def insert_persona(
+        self,
+        persona_id: str,
+        system_prompt: str,
+        begin_dialogs: list[str] | None = None,
+        tools: list[str] | None = None,
+    ) -> Persona:
+        """Insert a new persona record."""
+        ...
+
+    @abc.abstractmethod
+    async def get_persona_by_id(self, persona_id: str) -> Persona:
+        """Get a persona by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def get_personas(self) -> list[Persona]:
+        """Get all personas for a specific bot."""
+        ...
+
+    @abc.abstractmethod
+    async def update_persona(
+        self,
+        persona_id: str,
+        system_prompt: str | None = None,
+        begin_dialogs: list[str] | None = None,
+        tools: list[str] | None = None,
+    ) -> Persona | None:
+        """Update a persona's system prompt or begin dialogs."""
+        ...
+
+    @abc.abstractmethod
+    async def delete_persona(self, persona_id: str) -> None:
+        """Delete a persona by its ID."""
+        ...
+
+    @abc.abstractmethod
+    async def insert_preference_or_update(
+        self, scope: str, scope_id: str, key: str, value: dict
+    ) -> Preference:
+        """Insert a new preference record."""
+        ...
+
+    @abc.abstractmethod
+    async def get_preference(self, scope: str, scope_id: str, key: str) -> Preference:
+        """Get a preference by scope ID and key."""
+        ...
+
+    @abc.abstractmethod
+    async def get_preferences(
+        self, scope: str, scope_id: str | None = None, key: str | None = None
+    ) -> list[Preference]:
+        """Get all preferences for a specific scope ID or key."""
+        ...
+
+    @abc.abstractmethod
+    async def remove_preference(self, scope: str, scope_id: str, key: str) -> None:
+        """Remove a preference by scope ID and key."""
+        ...
+
+    @abc.abstractmethod
+    async def clear_preferences(self, scope: str, scope_id: str) -> None:
+        """Clear all preferences for a specific scope ID."""
+        ...
+
+    # @abc.abstractmethod
+    # async def insert_llm_message(
+    #     self,
+    #     cid: str,
+    #     role: str,
+    #     content: list,
+    #     tool_calls: list = None,
+    #     tool_call_id: str = None,
+    #     parent_id: str = None,
+    # ) -> LLMMessage:
+    #     """Insert a new LLM message into the conversation."""
+    #     ...
+
+    # @abc.abstractmethod
+    # async def get_llm_messages(self, cid: str) -> list[LLMMessage]:
+    #     """Get all LLM messages for a specific conversation."""
+    #     ...
+
+    @abc.abstractmethod
+    async def get_session_conversations(
+        self,
+        page: int = 1,
+        page_size: int = 20,
+        search_query: str | None = None,
+        platform: str | None = None,
+    ) -> tuple[list[dict], int]:
+        """Get paginated session conversations with joined conversation and persona details, support search and platform filter."""
+        ...

astrbot/core/db/migration/helper.py

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

astrbot/core/db/migration/migra_3_to_4.py

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

astrbot/core/db/migration/shared_preferences_v3.py

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

astrbot/core/db/migration/sqlite_v3.py

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

astrbot/core/db/po.py

@@ -0,0 +1,248 @@
+import uuid
+
+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):
+    """This class represents the statistics of bot usage across different platforms.
+
+    Note: In astrbot v4, we moved `platform` table to here.
+    """
+
+    __tablename__ = "platform_stats"
+
+    id: int = Field(primary_key=True, sa_column_kwargs={"autoincrement": True})
+    timestamp: datetime = Field(nullable=False)
+    platform_id: str = Field(nullable=False)
+    platform_type: str = Field(nullable=False)  # such as "aiocqhttp", "slack", etc.
+    count: int = Field(default=0, nullable=False)
+
+    __table_args__ = (
+        UniqueConstraint(
+            "timestamp",
+            "platform_id",
+            "platform_type",
+            name="uix_platform_stats",
+        ),
+    )
+
+
+class ConversationV2(SQLModel, table=True):
+    __tablename__ = "conversations"
+
+    inner_conversation_id: int = Field(
+        primary_key=True, sa_column_kwargs={"autoincrement": True}
+    )
+    conversation_id: str = Field(
+        max_length=36,
+        nullable=False,
+        unique=True,
+        default_factory=lambda: str(uuid.uuid4()),
+    )
+    platform_id: str = Field(nullable=False)
+    user_id: str = Field(nullable=False)
+    content: Optional[list] = Field(default=None, sa_type=JSON)
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+    title: Optional[str] = Field(default=None, max_length=255)
+    persona_id: Optional[str] = Field(default=None)
+
+    __table_args__ = (
+        UniqueConstraint(
+            "conversation_id",
+            name="uix_conversation_id",
+        ),
+    )
+
+
+class Persona(SQLModel, table=True):
+    """Persona is a set of instructions for LLMs to follow.
+
+    It can be used to customize the behavior of LLMs.
+    """
+
+    __tablename__ = "personas"
+
+    id: int | None = Field(
+        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: Optional[list] = Field(default=None, sa_type=JSON)
+    """a list of strings, each representing a dialog to start with"""
+    tools: Optional[list] = Field(default=None, sa_type=JSON)
+    """None means use ALL tools for default, empty list means no tools, otherwise a list of tool names."""
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+    __table_args__ = (
+        UniqueConstraint(
+            "persona_id",
+            name="uix_persona_id",
+        ),
+    )
+
+
+class Preference(SQLModel, table=True):
+    """This class represents preferences for bots."""
+
+    __tablename__ = "preferences"
+
+    id: int | None = Field(
+        default=None, primary_key=True, sa_column_kwargs={"autoincrement": True}
+    )
+    scope: str = Field(nullable=False)
+    """Scope of the preference, such as 'global', 'umo', 'plugin'."""
+    scope_id: str = Field(nullable=False)
+    """ID of the scope, such as 'global', 'umo', 'plugin_name'."""
+    key: str = Field(nullable=False)
+    value: dict = Field(sa_type=JSON, nullable=False)
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+    __table_args__ = (
+        UniqueConstraint(
+            "scope",
+            "scope_id",
+            "key",
+            name="uix_preference_scope_scope_id_key",
+        ),
+    )
+
+
+class PlatformMessageHistory(SQLModel, table=True):
+    """This class represents the message history for a specific platform.
+
+    It is used to store messages that are not LLM-generated, such as user messages
+    or platform-specific messages.
+    """
+
+    __tablename__ = "platform_message_history"
+
+    id: int | None = Field(
+        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: Optional[str] = Field(default=None)  # ID of the sender in the platform
+    sender_name: Optional[str] = Field(
+        default=None
+    )  # Name of the sender in the platform
+    content: dict = Field(sa_type=JSON, nullable=False)  # a message chain list
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+
+class Attachment(SQLModel, table=True):
+    """This class represents attachments for messages in AstrBot.
+
+    Attachments can be images, files, or other media types.
+    """
+
+    __tablename__ = "attachments"
+
+    inner_attachment_id: int | None = Field(
+        primary_key=True, sa_column_kwargs={"autoincrement": True}, default=None
+    )
+    attachment_id: str = Field(
+        max_length=36,
+        nullable=False,
+        unique=True,
+        default_factory=lambda: str(uuid.uuid4()),
+    )
+    path: str = Field(nullable=False)  # Path to the file on disk
+    type: str = Field(nullable=False)  # Type of the file (e.g., 'image', 'file')
+    mime_type: str = Field(nullable=False)  # MIME type of the file
+    created_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
+    updated_at: datetime = Field(
+        default_factory=lambda: datetime.now(timezone.utc),
+        sa_column_kwargs={"onupdate": datetime.now(timezone.utc)},
+    )
+
+    __table_args__ = (
+        UniqueConstraint(
+            "attachment_id",
+            name="uix_attachment_id",
+        ),
+    )
+
+
+@dataclass
+class Conversation:
+    """LLM 对话类
+
+    对于 WebChat，history 存储了包括指令、回复、图片等在内的所有消息。
+    对于其他平台的聊天，不存储非 LLM 的回复（因为考虑到已经存储在各自的平台上）。
+
+    在 v4.0.0 版本及之后，WebChat 的历史记录被迁移至 `PlatformMessageHistory` 表中，
+    """
+
+    platform_id: str
+    user_id: str
+    cid: str
+    """对话 ID, 是 uuid 格式的字符串"""
+    history: str = ""
+    """字符串格式的对话列表。"""
+    title: str | None = ""
+    persona_id: str | None = ""
+    created_at: int = 0
+    updated_at: int = 0
+
+
+class Personality(TypedDict):
+    """LLM 人格类。
+
+    在 v4.0.0 版本及之后，推荐使用上面的 Persona 类。并且， mood_imitation_dialogs 字段已被废弃。
+    """
+
+    prompt: str = ""
+    name: str = ""
+    begin_dialogs: list[str] = []
+    mood_imitation_dialogs: list[str] = []
+    """情感模拟对话预设。在 v4.0.0 版本及之后，已被废弃。"""
+    tools: list[str] | None = None
+    """工具列表。None 表示使用所有工具，空列表表示不使用任何工具"""
+
+    # cache
+    _begin_dialogs_processed: list[dict] = []
+    _mood_imitation_dialogs_processed: str = ""
+
+
+# ====
+# Deprecated, and will be removed in future versions.
+# ====
+
+
+@dataclass
+class Platform:
+    """平台使用统计数据"""
+
+    name: str
+    count: int
+    timestamp: int
+
+
+@dataclass
+class Stats:
+    platform: list[Platform] = field(default_factory=list)

astrbot/core/db/sqlite.py

@@ -0,0 +1,675 @@
+import asyncio
+import typing as T
+import threading
+from datetime import datetime, timedelta
+from astrbot.core.db import BaseDatabase
+from astrbot.core.db.po import (
+    ConversationV2,
+    PlatformStat,
+    PlatformMessageHistory,
+    Attachment,
+    Persona,
+    Preference,
+    Stats as DeprecatedStats,
+    Platform as DeprecatedPlatformStat,
+    SQLModel,
+)
+
+from sqlmodel import select, update, delete, text, func, or_, desc, col
+from sqlalchemy.ext.asyncio import AsyncSession
+
+NOT_GIVEN = T.TypeVar("NOT_GIVEN")
+
+
+class SQLiteDatabase(BaseDatabase):
+    def __init__(self, db_path: str) -> None:
+        self.db_path = db_path
+        self.DATABASE_URL = f"sqlite+aiosqlite:///{db_path}"
+        self.inited = False
+        super().__init__()
+
+    async def initialize(self) -> None:
+        """Initialize the database by creating tables if they do not exist."""
+        async with self.engine.begin() as conn:
+            await conn.run_sync(SQLModel.metadata.create_all)
+            await conn.commit()
+
+    # ====
+    # Platform Statistics
+    # ====
+
+    async def insert_platform_stats(
+        self,
+        platform_id,
+        platform_type,
+        count=1,
+        timestamp=None,
+    ) -> None:
+        """Insert a new platform statistic record."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                if timestamp is None:
+                    timestamp = datetime.now().replace(
+                        minute=0, second=0, microsecond=0
+                    )
+                current_hour = timestamp
+                await session.execute(
+                    text("""
+                    INSERT INTO platform_stats (timestamp, platform_id, platform_type, count)
+                    VALUES (:timestamp, :platform_id, :platform_type, :count)
+                    ON CONFLICT(timestamp, platform_id, platform_type) DO UPDATE SET
+                        count = platform_stats.count + EXCLUDED.count
+                    """),
+                    {
+                        "timestamp": current_hour,
+                        "platform_id": platform_id,
+                        "platform_type": platform_type,
+                        "count": count,
+                    },
+                )
+
+    async def count_platform_stats(self) -> int:
+        """Count the number of platform statistics records."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            result = await session.execute(
+                select(func.count(col(PlatformStat.platform_id))).select_from(
+                    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) -> 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
+            now = datetime.now()
+            start_time = now - timedelta(seconds=offset_sec)
+            result = await session.execute(
+                text("""
+                SELECT * FROM platform_stats
+                WHERE timestamp >= :start_time
+                ORDER BY timestamp DESC
+                GROUP BY platform_id
+                """),
+                {"start_time": start_time},
+            )
+            return list(result.scalars().all())
+
+    # ====
+    # Conversation Management
+    # ====
+
+    async def get_conversations(self, user_id=None, platform_id=None):
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(ConversationV2)
+
+            if user_id:
+                query = query.where(ConversationV2.user_id == user_id)
+            if platform_id:
+                query = query.where(ConversationV2.platform_id == platform_id)
+            # order by
+            query = query.order_by(desc(ConversationV2.created_at))
+            result = await session.execute(query)
+
+            return result.scalars().all()
+
+    async def get_conversation_by_id(self, cid):
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(ConversationV2).where(ConversationV2.conversation_id == cid)
+            result = await session.execute(query)
+            return result.scalar_one_or_none()
+
+    async def get_all_conversations(self, page=1, page_size=20):
+        async with self.get_db() as session:
+            session: AsyncSession
+            offset = (page - 1) * page_size
+            result = await session.execute(
+                select(ConversationV2)
+                .order_by(desc(ConversationV2.created_at))
+                .offset(offset)
+                .limit(page_size)
+            )
+            return result.scalars().all()
+
+    async def get_filtered_conversations(
+        self,
+        page=1,
+        page_size=20,
+        platform_ids=None,
+        search_query="",
+        **kwargs,
+    ):
+        async with self.get_db() as session:
+            session: AsyncSession
+            # Build the base query with filters
+            base_query = select(ConversationV2)
+
+            if platform_ids:
+                base_query = base_query.where(
+                    col(ConversationV2.platform_id).in_(platform_ids)
+                )
+            if search_query:
+                search_query = search_query.encode("unicode_escape").decode("utf-8")
+                base_query = base_query.where(
+                    or_(
+                        col(ConversationV2.title).ilike(f"%{search_query}%"),
+                        col(ConversationV2.content).ilike(f"%{search_query}%"),
+                        col(ConversationV2.user_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}:%")
+                    )
+            if "platforms" in kwargs and len(kwargs["platforms"]) > 0:
+                base_query = base_query.where(
+                    col(ConversationV2.platform_id).in_(kwargs["platforms"])
+                )
+
+            # Get total count matching the filters
+            count_query = select(func.count()).select_from(base_query.subquery())
+            total_count = await session.execute(count_query)
+            total = total_count.scalar_one()
+
+            # Get paginated results
+            offset = (page - 1) * page_size
+            result_query = (
+                base_query.order_by(desc(ConversationV2.created_at))
+                .offset(offset)
+                .limit(page_size)
+            )
+            result = await session.execute(result_query)
+            conversations = result.scalars().all()
+
+            return conversations, total
+
+    async def create_conversation(
+        self,
+        user_id,
+        platform_id,
+        content=None,
+        title=None,
+        persona_id=None,
+        cid=None,
+        created_at=None,
+        updated_at=None,
+    ):
+        kwargs = {}
+        if cid:
+            kwargs["conversation_id"] = cid
+        if created_at:
+            kwargs["created_at"] = created_at
+        if updated_at:
+            kwargs["updated_at"] = updated_at
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                new_conversation = ConversationV2(
+                    user_id=user_id,
+                    content=content or [],
+                    platform_id=platform_id,
+                    title=title,
+                    persona_id=persona_id,
+                    **kwargs,
+                )
+                session.add(new_conversation)
+                return new_conversation
+
+    async def update_conversation(self, cid, title=None, persona_id=None, content=None):
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                query = update(ConversationV2).where(
+                    col(ConversationV2.conversation_id) == cid
+                )
+                values = {}
+                if title is not None:
+                    values["title"] = title
+                if persona_id is not None:
+                    values["persona_id"] = persona_id
+                if content is not None:
+                    values["content"] = content
+                if not values:
+                    return
+                query = query.values(**values)
+                await session.execute(query)
+        return await self.get_conversation_by_id(cid)
+
+    async def delete_conversation(self, cid):
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                await session.execute(
+                    delete(ConversationV2).where(
+                        col(ConversationV2.conversation_id) == cid
+                    )
+                )
+
+    async def delete_conversations_by_user_id(self, user_id: str) -> None:
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                await session.execute(
+                    delete(ConversationV2).where(col(ConversationV2.user_id) == user_id)
+                )
+
+    async def get_session_conversations(
+        self,
+        page=1,
+        page_size=20,
+        search_query=None,
+        platform=None,
+    ) -> tuple[list[dict], int]:
+        """Get paginated session conversations with joined conversation and persona details."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            offset = (page - 1) * page_size
+
+            base_query = (
+                select(
+                    col(Preference.scope_id).label("session_id"),
+                    func.json_extract(Preference.value, "$.val").label(
+                        "conversation_id"
+                    ),  # type: ignore
+                    col(ConversationV2.persona_id).label("persona_id"),
+                    col(ConversationV2.title).label("title"),
+                    col(Persona.persona_id).label("persona_name"),
+                )
+                .select_from(Preference)
+                .outerjoin(
+                    ConversationV2,
+                    func.json_extract(Preference.value, "$.val")
+                    == ConversationV2.conversation_id,
+                )
+                .outerjoin(
+                    Persona, col(ConversationV2.persona_id) == Persona.persona_id
+                )
+                .where(Preference.scope == "umo", Preference.key == "sel_conv_id")
+            )
+
+            # 搜索筛选
+            if search_query:
+                search_pattern = f"%{search_query}%"
+                base_query = base_query.where(
+                    or_(
+                        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)
+                )
+
+            # 排序
+            base_query = base_query.order_by(Preference.scope_id)
+
+            # 分页结果
+            result_query = base_query.offset(offset).limit(page_size)
+            result = await session.execute(result_query)
+            rows = result.fetchall()
+
+            # 查询总数（应用相同的筛选条件）
+            count_base_query = (
+                select(func.count(col(Preference.scope_id)))
+                .select_from(Preference)
+                .outerjoin(
+                    ConversationV2,
+                    func.json_extract(Preference.value, "$.val")
+                    == ConversationV2.conversation_id,
+                )
+                .outerjoin(
+                    Persona, col(ConversationV2.persona_id) == Persona.persona_id
+                )
+                .where(Preference.scope == "umo", Preference.key == "sel_conv_id")
+            )
+
+            # 应用相同的搜索和平台筛选条件到计数查询
+            if search_query:
+                search_pattern = f"%{search_query}%"
+                count_base_query = count_base_query.where(
+                    or_(
+                        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)
+                )
+
+            total_result = await session.execute(count_base_query)
+            total = total_result.scalar() or 0
+
+            sessions_data = [
+                {
+                    "session_id": row.session_id,
+                    "conversation_id": row.conversation_id,
+                    "persona_id": row.persona_id,
+                    "title": row.title,
+                    "persona_name": row.persona_name,
+                }
+                for row in rows
+            ]
+            return sessions_data, total
+
+    async def insert_platform_message_history(
+        self,
+        platform_id,
+        user_id,
+        content,
+        sender_id=None,
+        sender_name=None,
+    ):
+        """Insert a new platform message history record."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                new_history = PlatformMessageHistory(
+                    platform_id=platform_id,
+                    user_id=user_id,
+                    content=content,
+                    sender_id=sender_id,
+                    sender_name=sender_name,
+                )
+                session.add(new_history)
+                return new_history
+
+    async def delete_platform_message_offset(
+        self, platform_id, user_id, offset_sec=86400
+    ):
+        """Delete platform message history records older than the specified offset."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                now = datetime.now()
+                cutoff_time = now - timedelta(seconds=offset_sec)
+                await session.execute(
+                    delete(PlatformMessageHistory).where(
+                        col(PlatformMessageHistory.platform_id) == platform_id,
+                        col(PlatformMessageHistory.user_id) == user_id,
+                        col(PlatformMessageHistory.created_at) < cutoff_time,
+                    )
+                )
+
+    async def get_platform_message_history(
+        self, platform_id, user_id, page=1, page_size=20
+    ):
+        """Get platform message history records."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            offset = (page - 1) * page_size
+            query = (
+                select(PlatformMessageHistory)
+                .where(
+                    PlatformMessageHistory.platform_id == platform_id,
+                    PlatformMessageHistory.user_id == user_id,
+                )
+                .order_by(desc(PlatformMessageHistory.created_at))
+            )
+            result = await session.execute(query.offset(offset).limit(page_size))
+            return result.scalars().all()
+
+    async def insert_attachment(self, path, type, mime_type):
+        """Insert a new attachment record."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                new_attachment = Attachment(
+                    path=path,
+                    type=type,
+                    mime_type=mime_type,
+                )
+                session.add(new_attachment)
+                return new_attachment
+
+    async def get_attachment_by_id(self, attachment_id):
+        """Get an attachment by its ID."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(Attachment).where(Attachment.attachment_id == attachment_id)
+            result = await session.execute(query)
+            return result.scalar_one_or_none()
+
+    async def insert_persona(
+        self, persona_id, system_prompt, begin_dialogs=None, tools=None
+    ):
+        """Insert a new persona record."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                new_persona = Persona(
+                    persona_id=persona_id,
+                    system_prompt=system_prompt,
+                    begin_dialogs=begin_dialogs or [],
+                    tools=tools,
+                )
+                session.add(new_persona)
+                return new_persona
+
+    async def get_persona_by_id(self, persona_id):
+        """Get a persona by its ID."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(Persona).where(Persona.persona_id == persona_id)
+            result = await session.execute(query)
+            return result.scalar_one_or_none()
+
+    async def get_personas(self):
+        """Get all personas for a specific bot."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(Persona)
+            result = await session.execute(query)
+            return result.scalars().all()
+
+    async def update_persona(
+        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:
+            session: AsyncSession
+            async with session.begin():
+                query = update(Persona).where(col(Persona.persona_id) == persona_id)
+                values = {}
+                if system_prompt is not None:
+                    values["system_prompt"] = system_prompt
+                if begin_dialogs is not None:
+                    values["begin_dialogs"] = begin_dialogs
+                if tools is not NOT_GIVEN:
+                    values["tools"] = tools
+                if not values:
+                    return
+                query = query.values(**values)
+                await session.execute(query)
+        return await self.get_persona_by_id(persona_id)
+
+    async def delete_persona(self, persona_id):
+        """Delete a persona by its ID."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                await session.execute(
+                    delete(Persona).where(col(Persona.persona_id) == persona_id)
+                )
+
+    async def insert_preference_or_update(self, scope, scope_id, key, value):
+        """Insert a new preference record or update if it exists."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                query = select(Preference).where(
+                    Preference.scope == scope,
+                    Preference.scope_id == scope_id,
+                    Preference.key == key,
+                )
+                result = await session.execute(query)
+                existing_preference = result.scalar_one_or_none()
+                if existing_preference:
+                    existing_preference.value = value
+                else:
+                    new_preference = Preference(
+                        scope=scope, scope_id=scope_id, key=key, value=value
+                    )
+                    session.add(new_preference)
+                return existing_preference or new_preference
+
+    async def get_preference(self, scope, scope_id, key):
+        """Get a preference by key."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(Preference).where(
+                Preference.scope == scope,
+                Preference.scope_id == scope_id,
+                Preference.key == key,
+            )
+            result = await session.execute(query)
+            return result.scalar_one_or_none()
+
+    async def get_preferences(self, scope, scope_id=None, key=None):
+        """Get all preferences for a specific scope ID or key."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            query = select(Preference).where(Preference.scope == scope)
+            if scope_id is not None:
+                query = query.where(Preference.scope_id == scope_id)
+            if key is not None:
+                query = query.where(Preference.key == key)
+            result = await session.execute(query)
+            return result.scalars().all()
+
+    async def remove_preference(self, scope, scope_id, key):
+        """Remove a preference by scope ID and key."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                await session.execute(
+                    delete(Preference).where(
+                        col(Preference.scope) == scope,
+                        col(Preference.scope_id) == scope_id,
+                        col(Preference.key) == key,
+                    )
+                )
+            await session.commit()
+
+    async def clear_preferences(self, scope, scope_id):
+        """Clear all preferences for a specific scope ID."""
+        async with self.get_db() as session:
+            session: AsyncSession
+            async with session.begin():
+                await session.execute(
+                    delete(Preference).where(
+                        col(Preference.scope) == scope,
+                        col(Preference.scope_id) == scope_id,
+                    )
+                )
+            await session.commit()
+
+    # ====
+    # Deprecated Methods
+    # ====
+
+    def get_base_stats(self, offset_sec=86400):
+        """Get base statistics within the specified offset in seconds."""
+
+        async def _inner():
+            async with self.get_db() as session:
+                session: AsyncSession
+                now = datetime.now()
+                start_time = now - timedelta(seconds=offset_sec)
+                result = await session.execute(
+                    select(PlatformStat).where(PlatformStat.timestamp >= start_time)
+                )
+                all_datas = result.scalars().all()
+                deprecated_stats = DeprecatedStats()
+                for data in all_datas:
+                    deprecated_stats.platform.append(
+                        DeprecatedPlatformStat(
+                            name=data.platform_id,
+                            count=data.count,
+                            timestamp=int(data.timestamp.timestamp()),
+                        )
+                    )
+                return deprecated_stats
+
+        result = None
+
+        def runner():
+            nonlocal result
+            result = asyncio.run(_inner())
+
+        t = threading.Thread(target=runner)
+        t.start()
+        t.join()
+        return result
+
+    def get_total_message_count(self):
+        """Get the total message count from platform statistics."""
+
+        async def _inner():
+            async with self.get_db() as session:
+                session: AsyncSession
+                result = await session.execute(
+                    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
+
+        result = None
+
+        def runner():
+            nonlocal result
+            result = asyncio.run(_inner())
+
+        t = threading.Thread(target=runner)
+        t.start()
+        t.join()
+        return result
+
+    def get_grouped_base_stats(self, offset_sec=86400):
+        # group by platform_id
+        async def _inner():
+            async with self.get_db() as session:
+                session: AsyncSession
+                now = datetime.now()
+                start_time = now - timedelta(seconds=offset_sec)
+                result = await session.execute(
+                    select(PlatformStat.platform_id, func.sum(PlatformStat.count))
+                    .where(PlatformStat.timestamp >= start_time)
+                    .group_by(PlatformStat.platform_id)
+                )
+                grouped_stats = result.all()
+                deprecated_stats = DeprecatedStats()
+                for platform_id, count in grouped_stats:
+                    deprecated_stats.platform.append(
+                        DeprecatedPlatformStat(
+                            name=platform_id,
+                            count=count,
+                            timestamp=int(start_time.timestamp()),
+                        )
+                    )
+                return deprecated_stats
+
+        result = None
+
+        def runner():
+            nonlocal result
+            result = asyncio.run(_inner())
+
+        t = threading.Thread(target=runner)
+        t.start()
+        t.join()
+        return result

astrbot/core/db/vec_db/base.py

@@ -0,0 +1,46 @@
+import abc
+from dataclasses import dataclass
+
+
+@dataclass
+class Result:
+    similarity: float
+    data: dict
+
+
+class BaseVecDB:
+    async def initialize(self):
+        """
+        初始化向量数据库
+        """
+        pass
+
+    @abc.abstractmethod
+    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) -> 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
+        Returns:
+            List[Result]: 查询结果
+        """
+        ...
+
+    @abc.abstractmethod
+    async def delete(self, doc_id: str) -> bool:
+        """
+        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
+        """
+        ...

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

@@ -0,0 +1,3 @@
+from .vec_db import FaissVecDB
+
+__all__ = ["FaissVecDB"]

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

@@ -0,0 +1,121 @@
+import aiosqlite
+import os
+
+
+class DocumentStorage:
+    def __init__(self, db_path: str):
+        self.db_path = db_path
+        self.connection = None
+        self.sqlite_init_path = os.path.join(
+            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."""
+        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."""
+        self.connection = await aiosqlite.connect(self.db_path)
+
+    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.
+
+        Returns:
+            list: The list of document IDs(primary key, not doc_id) that match the filters.
+        """
+        # 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"
+
+        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.
+
+        Args:
+            doc_id (str): The doc_id of the document to retrieve.
+
+        Returns:
+            dict: The document data.
+        """
+        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):
+        """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.
+        """
+        async with self.connection.cursor() as cursor:
+            await cursor.execute(
+                "UPDATE documents SET text = ? WHERE doc_id = ?", (new_text, doc_id)
+            )
+            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.
+        """
+        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]
+
+    async def tuple_to_dict(self, row):
+        """Convert a tuple to a dictionary.
+
+        Args:
+            row (tuple): The row to convert.
+
+        Returns:
+            dict: The converted dictionary.
+        """
+        return {
+            "id": row[0],
+            "doc_id": row[1],
+            "text": row[2],
+            "metadata": row[3],
+            "created_at": row[4],
+            "updated_at": row[5],
+        }
+
+    async def close(self):
+        """Close the connection to the SQLite database."""
+        if self.connection:
+            await self.connection.close()
+            self.connection = None

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

@@ -0,0 +1,59 @@
+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。"
+    )
+import os
+import numpy as np
+
+
+class EmbeddingStorage:
+    def __init__(self, dimension: int, path: str = None):
+        self.dimension = dimension
+        self.path = path
+        self.index = None
+        if path and os.path.exists(path):
+            self.index = faiss.read_index(path)
+        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
+
+        Args:
+            vector (np.ndarray): 要插入的向量
+            id (int): 向量的ID
+        Raises:
+            ValueError: 如果向量的维度与存储的维度不匹配
+        """
+        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]}"
+            )
+        self.index.add_with_ids(vector.reshape(1, -1), np.array([id]))
+        self.storage[id] = vector
+        await self.save_index()
+
+    async def search(self, vector: np.ndarray, k: int) -> tuple:
+        """搜索最相似的向量
+
+        Args:
+            vector (np.ndarray): 查询向量
+            k (int): 返回的最相似向量的数量
+        Returns:
+            tuple: (距离, 索引)
+        """
+        faiss.normalize_L2(vector)
+        distances, indices = self.index.search(vector, k)
+        return distances, indices
+
+    async def save_index(self):
+        """保存索引
+
+        Args:
+            path (str): 保存索引的路径
+        """
+        faiss.write_index(self.index, self.path)

astrbot/core/db/vec_db/faiss_impl/sqlite_init.sql

@@ -0,0 +1,17 @@
+-- 创建文档存储表，包含 faiss 中文档的 id，文档文本，create_at，updated_at
+CREATE TABLE documents (
+    id INTEGER PRIMARY KEY AUTOINCREMENT,
+    doc_id TEXT NOT NULL,
+    text TEXT NOT NULL,
+    metadata TEXT,
+    created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
+    updated_at DATETIME DEFAULT CURRENT_TIMESTAMP
+);
+
+ALTER TABLE documents
+ADD COLUMN group_id TEXT GENERATED ALWAYS AS (json_extract(metadata, '$.group_id')) STORED;
+ALTER TABLE documents
+ADD COLUMN user_id TEXT GENERATED ALWAYS AS (json_extract(metadata, '$.user_id')) STORED;
+
+CREATE INDEX idx_documents_user_id ON documents(user_id);
+CREATE INDEX idx_documents_group_id ON documents(group_id);

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

@@ -0,0 +1,141 @@
+import uuid
+import json
+import numpy as np
+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.
+    """
+
+    def __init__(
+        self,
+        doc_store_path: str,
+        index_store_path: str,
+        embedding_provider: EmbeddingProvider,
+        rerank_provider: RerankProvider | None = None,
+    ):
+        self.doc_store_path = doc_store_path
+        self.index_store_path = index_store_path
+        self.embedding_provider = embedding_provider
+        self.document_storage = DocumentStorage(doc_store_path)
+        self.embedding_storage = EmbeddingStorage(
+            embedding_provider.get_dim(), index_store_path
+        )
+        self.embedding_provider = embedding_provider
+        self.rerank_provider = rerank_provider
+
+    async def initialize(self):
+        await self.document_storage.initialize()
+
+    async def insert(
+        self, content: str, metadata: dict | None = 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。
+        """
+        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"]
+
+            # 插入向量到 FAISS
+            await self.embedding_storage.insert(vector, int_id)
+            return int_id
+
+    async def retrieve(
+        self,
+        query: str,
+        k: int = 5,
+        fetch_k: int = 20,
+        rerank: bool = False,
+        metadata_filters: dict | None = None,
+    ) -> list[Result]:
+        """
+        搜索最相似的文档。
+
+        Args:
+            query (str): 查询文本
+            k (int): 返回的最相似文档的数量
+            fetch_k (int): 在根据 metadata 过滤前从 FAISS 中获取的数量
+            rerank (bool): 是否使用重排序。这需要在实例化时提供 rerank_provider, 如果未提供并且 rerank 为 True, 不会抛出异常。
+            metadata_filters (dict): 元数据过滤器
+
+        Returns:
+            List[Result]: 查询结果
+        """
+        embedding = await self.embedding_provider.get_embedding(query)
+        scores, indices = await self.embedding_storage.search(
+            vector=np.array([embedding]).astype("float32"),
+            k=fetch_k if metadata_filters else k,
+        )
+        if len(indices[0]) == 0 or indices[0][0] == -1:
+            return []
+        # normalize scores
+        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]
+        )
+        if not fetched_docs:
+            return []
+        result_docs: list[Result] = []
+
+        idx_pos = {fetch_doc["id"]: idx for idx, fetch_doc in enumerate(fetched_docs)}
+        for i, indice_idx in enumerate(indices[0]):
+            pos = idx_pos.get(indice_idx)
+            if pos is None:
+                continue
+            fetch_doc = fetched_docs[pos]
+            score = scores[0][i]
+            result_docs.append(Result(similarity=float(score), data=fetch_doc))
+
+        top_k_results = result_docs[:k]
+
+        if rerank and self.rerank_provider:
+            documents = [doc.data["text"] for doc in top_k_results]
+            reranked_results = await self.rerank_provider.rerank(query, documents)
+            reranked_results = sorted(
+                reranked_results, key=lambda x: x.relevance_score, reverse=True
+            )
+            top_k_results = [
+                top_k_results[reranked_result.index]
+                for reranked_result in reranked_results
+            ]
+
+        return top_k_results
+
+    async def delete(self, doc_id: int):
+        """
+        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) -> int:
+        """
+        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

@@ -0,0 +1,59 @@
+"""
+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
+
+class:
+    EventBus: 事件总线, 用于处理事件的分发和处理
+
+工作流程:
+1. 维护一个异步队列, 来接受各种消息事件
+2. 无限循环的调度函数, 从事件队列中获取新的事件, 打印日志并创建一个新的异步任务来执行管道调度器的处理逻辑
+"""
+
+import asyncio
+from asyncio import Queue
+from astrbot.core.pipeline.scheduler import PipelineScheduler
+from astrbot.core import logger
+from .platform import AstrMessageEvent
+from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
+
+
+class EventBus:
+    """用于处理事件的分发和处理"""
+
+    def __init__(
+        self,
+        event_queue: Queue,
+        pipeline_scheduler_mapping: dict[str, PipelineScheduler],
+        astrbot_config_mgr: AstrBotConfigManager = None,
+    ):
+        self.event_queue = event_queue  # 事件队列
+        # abconf uuid -> scheduler
+        self.pipeline_scheduler_mapping = pipeline_scheduler_mapping
+        self.astrbot_config_mgr = astrbot_config_mgr
+
+    async def dispatch(self):
+        while True:
+            event: AstrMessageEvent = await self.event_queue.get()
+            conf_info = self.astrbot_config_mgr.get_conf_info(event.unified_msg_origin)
+            self._print_event(event, conf_info["name"])
+            scheduler = self.pipeline_scheduler_mapping.get(conf_info["id"])
+            asyncio.create_task(scheduler.execute(event))
+
+    def _print_event(self, event: AstrMessageEvent, conf_name: str):
+        """用于记录事件信息
+
+        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()}"
+            )
+        # 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()}"
+            )

astrbot/core/file_token_service.py

@@ -0,0 +1,92 @@
+import asyncio
+import os
+import uuid
+import time
+from urllib.parse import urlparse, unquote
+import platform
+
+
+class FileTokenService:
+    """维护一个简单的基于令牌的文件下载服务，支持超时和懒清除。"""
+
+    def __init__(self, default_timeout: float = 300):
+        self.lock = asyncio.Lock()
+        self.staged_files = {}  # token: (file_path, expire_time)
+        self.default_timeout = default_timeout
+
+    async def _cleanup_expired_tokens(self):
+        """清理过期的令牌"""
+        now = time.time()
+        expired_tokens = [
+            token for token, (_, expire) in self.staged_files.items() if expire < now
+        ]
+        for token in expired_tokens:
+            self.staged_files.pop(token, None)
+
+    async def register_file(self, file_path: str, timeout: float = None) -> str:
+        """向令牌服务注册一个文件。
+
+        Args:
+            file_path(str): 文件路径
+            timeout(float): 超时时间，单位秒（可选）
+
+        Returns:
+            str: 一个单次令牌
+
+        Raises:
+            FileNotFoundError: 当路径不存在时抛出
+        """
+
+        # 处理 file:///
+        try:
+            parsed_uri = urlparse(file_path)
+            if parsed_uri.scheme == "file":
+                local_path = unquote(parsed_uri.path)
+                if platform.system() == "Windows" and local_path.startswith("/"):
+                    local_path = local_path[1:]
+            else:
+                # 如果没有 file:/// 前缀，则认为是普通路径
+                local_path = file_path
+        except Exception:
+            # 解析失败时，按原路径处理
+            local_path = file_path
+
+        async with self.lock:
+            await self._cleanup_expired_tokens()
+
+            if not os.path.exists(local_path):
+                raise FileNotFoundError(
+                    f"文件不存在: {local_path} (原始输入: {file_path})"
+                )
+
+            file_token = str(uuid.uuid4())
+            expire_time = time.time() + (
+                timeout if timeout is not None else self.default_timeout
+            )
+            # 存储转换后的真实路径
+            self.staged_files[file_token] = (local_path, expire_time)
+            return file_token
+
+    async def handle_file(self, file_token: str) -> str:
+        """根据令牌获取文件路径，使用后令牌失效。
+
+        Args:
+            file_token(str): 注册时返回的令牌
+
+        Returns:
+            str: 文件路径
+
+        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()
+
+            if file_token not in self.staged_files:
+                raise KeyError(f"无效或过期的文件 token: {file_token}")
+
+            file_path, _ = self.staged_files.pop(file_token)
+            if not os.path.exists(file_path):
+                raise FileNotFoundError(f"文件不存在: {file_path}")
+            return file_path

astrbot/core/initial_loader.py

@@ -0,0 +1,52 @@
+"""
+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
+2. 运行核心生命周期任务和仪表板服务器
+"""
+
+import asyncio
+import traceback
+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
+
+
+class InitialLoader:
+    """AstrBot 启动器，负责初始化和启动核心组件和仪表板服务器。"""
+
+    def __init__(self, db: BaseDatabase, log_broker: LogBroker):
+        self.db = db
+        self.logger = logger
+        self.log_broker = log_broker
+        self.webui_dir: str | None = None
+
+    async def start(self):
+        core_lifecycle = AstrBotCoreLifecycle(self.log_broker, self.db)
+
+        try:
+            await core_lifecycle.initialize()
+        except Exception as e:
+            logger.critical(traceback.format_exc())
+            logger.critical(f"😭 初始化 AstrBot 失败：{e} !!!")
+            return
+
+        core_task = core_lifecycle.start()
+
+        webui_dir = self.webui_dir
+
+        self.dashboard_server = AstrBotDashboard(
+            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
+
+        try:
+            await task  # 整个AstrBot在这里运行
+        except asyncio.CancelledError:
+            logger.info("🌈 正在关闭 AstrBot...")
+            await core_lifecycle.stop()

astrbot/core/log.py

@@ -0,0 +1,246 @@
+"""
+日志系统, 用于支持核心组件和插件的日志记录, 提供了日志订阅功能
+
+const:
+    CACHED_SIZE: 日志缓存大小, 用于限制缓存的日志数量
+    log_color_config: 日志颜色配置, 定义了不同日志级别的颜色
+
+class:
+    LogBroker: 日志代理类, 用于缓存和分发日志消息
+    LogQueueHandler: 日志处理器, 用于将日志消息发送到 LogBroker
+    LogManager: 日志管理器, 用于创建和配置日志记录器
+
+function:
+    is_plugin_path: 检查文件路径是否来自插件目录
+    get_short_level_name: 将日志级别名称转换为四个字母的缩写
+
+工作流程:
+1. 通过 LogManager.GetLogger() 获取日志器, 配置了控制台输出和多个格式化过滤器
+2. 通过 set_queue_handler() 设置日志处理器, 将日志消息发送到 LogBroker
+3. logBroker 维护一个订阅者列表, 负责将日志分发给所有订阅者
+4. 订阅者可以使用 register() 方法注册到 LogBroker, 订阅日志流
+"""
+
+import logging
+import colorlog
+import asyncio
+import os
+import sys
+from collections import deque
+from asyncio import Queue
+from typing import List
+
+# 日志缓存大小
+CACHED_SIZE = 200
+# 日志颜色配置
+log_color_config = {
+    "DEBUG": "green",
+    "INFO": "bold_cyan",
+    "WARNING": "bold_yellow",
+    "ERROR": "red",
+    "CRITICAL": "bold_red",
+    "RESET": "reset",
+    "asctime": "green",
+}
+
+
+def is_plugin_path(pathname):
+    """检查文件路径是否来自插件目录
+
+    Args:
+        pathname (str): 文件路径
+
+    Returns:
+        bool: 如果路径来自插件目录，则返回 True，否则返回 False
+    """
+    if not pathname:
+        return False
+
+    norm_path = os.path.normpath(pathname)
+    return ("data/plugins" in norm_path) or ("packages/" in norm_path)
+
+
+def get_short_level_name(level_name):
+    """将日志级别名称转换为四个字母的缩写
+
+    Args:
+        level_name (str): 日志级别名称, 如 "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"
+
+    Returns:
+        str: 四个字母的日志级别缩写
+    """
+    level_map = {
+        "DEBUG": "DBUG",
+        "INFO": "INFO",
+        "WARNING": "WARN",
+        "ERROR": "ERRO",
+        "CRITICAL": "CRIT",
+    }
+    return level_map.get(level_name, level_name[:4].upper())
+
+
+class LogBroker:
+    """日志代理类, 用于缓存和分发日志消息
+
+    发布-订阅模式
+    """
+
+    def __init__(self):
+        self.log_cache = deque(maxlen=CACHED_SIZE)  # 环形缓冲区, 保存最近的日志
+        self.subscribers: List[Queue] = []  # 订阅者列表
+
+    def register(self) -> Queue:
+        """注册新的订阅者, 并给每个订阅者返回一个带有日志缓存的队列
+
+        Returns:
+            Queue: 订阅者的队列, 可用于接收日志消息
+        """
+        q = Queue(maxsize=CACHED_SIZE + 10)
+        self.subscribers.append(q)
+        return q
+
+    def unregister(self, q: Queue):
+        """取消订阅
+
+        Args:
+            q (Queue): 需要取消订阅的队列
+        """
+        self.subscribers.remove(q)
+
+    def publish(self, log_entry: dict):
+        """发布新日志到所有订阅者, 使用非阻塞方式投递, 避免一个订阅者阻塞整个系统
+
+        Args:
+            log_entry (dict): 日志消息, 包含日志级别和日志内容.
+                example: {"level": "INFO", "data": "This is a log message.", "time": "2023-10-01 12:00:00"}
+        """
+        self.log_cache.append(log_entry)
+        for q in self.subscribers:
+            try:
+                q.put_nowait(log_entry)
+            except asyncio.QueueFull:
+                pass
+
+
+class LogQueueHandler(logging.Handler):
+    """日志处理器, 用于将日志消息发送到 LogBroker
+
+    继承自 logging.Handler
+    """
+
+    def __init__(self, log_broker: LogBroker):
+        super().__init__()
+        self.log_broker = log_broker
+
+    def emit(self, record):
+        """日志处理的入口方法, 接受一个日志记录, 转换为字符串后由 LogBroker 发布
+        这个方法会在每次日志记录时被调用
+
+        Args:
+            record (logging.LogRecord): 日志记录对象, 包含日志信息
+        """
+        log_entry = self.format(record)
+        self.log_broker.publish(
+            {
+                "level": record.levelname,
+                "time": record.asctime,
+                "data": log_entry,
+            }
+        )
+
+
+class LogManager:
+    """日志管理器, 用于创建和配置日志记录器
+
+    提供了获取默认日志记录器logger和设置队列处理器的方法
+    """
+
+    @classmethod
+    def GetLogger(cls, log_name: str = "default"):
+        """获取指定名称的日志记录器logger
+
+        Args:
+            log_name (str): 日志记录器的名称, 默认为 "default"
+
+        Returns:
+            logging.Logger: 返回配置好的日志记录器
+        """
+        logger = logging.getLogger(log_name)
+        # 检查该logger或父级logger是否已经有处理器, 如果已经有处理器, 直接返回该logger, 避免重复配置
+        if logger.hasHandlers():
+            return logger
+        # 如果logger没有处理器
+        console_handler = logging.StreamHandler(
+            sys.stdout
+        )  # 创建一个StreamHandler用于控制台输出
+        console_handler.setLevel(
+            logging.DEBUG
+        )  # 将日志级别设置为DEBUG(最低级别, 显示所有日志), *如果插件没有设置级别, 默认为DEBUG
+
+        # 创建彩色日志格式化器, 输出日志格式为: [时间] [插件标签] [日志级别] [文件名:行号]: 日志消息
+        console_formatter = colorlog.ColoredFormatter(
+            fmt="%(log_color)s [%(asctime)s] %(plugin_tag)s [%(short_levelname)-4s] [%(filename)s:%(lineno)d]: %(message)s %(reset)s",
+            datefmt="%H:%M:%S",
+            log_colors=log_color_config,
+        )
+
+        class PluginFilter(logging.Filter):
+            """插件过滤器类, 用于标记日志来源是插件还是核心组件"""
+
+            def filter(self, record):
+                record.plugin_tag = (
+                    "[Plug]" if is_plugin_path(record.pathname) else "[Core]"
+                )
+                return True
+
+        class FileNameFilter(logging.Filter):
+            """文件名过滤器类, 用于修改日志记录的文件名格式
+            例如: 将文件路径 /path/to/file.py 转换为 file.<file> 格式"""
+
+            # 获取这个文件和父文件夹的名字：<folder>.<file> 并且去除 .py
+            def filter(self, record):
+                dirname = os.path.dirname(record.pathname)
+                record.filename = (
+                    os.path.basename(dirname)
+                    + "."
+                    + os.path.basename(record.pathname).replace(".py", "")
+                )
+                return True
+
+        class LevelNameFilter(logging.Filter):
+            """短日志级别名称过滤器类, 用于将日志级别名称转换为四个字母的缩写"""
+
+            # 添加短日志级别名称
+            def filter(self, record):
+                record.short_levelname = get_short_level_name(record.levelname)
+                return True
+
+        console_handler.setFormatter(console_formatter)  # 设置处理器的格式化器
+        logger.addFilter(PluginFilter())  # 添加插件过滤器
+        logger.addFilter(FileNameFilter())  # 添加文件名过滤器
+        logger.addFilter(LevelNameFilter())  # 添加级别名称过滤器
+        logger.setLevel(logging.DEBUG)  # 设置日志级别为DEBUG
+        logger.addHandler(console_handler)  # 添加处理器到logger
+
+        return logger
+
+    @classmethod
+    def set_queue_handler(cls, logger: logging.Logger, log_broker: LogBroker):
+        """设置队列处理器, 用于将日志消息发送到 LogBroker
+
+        Args:
+            logger (logging.Logger): 日志记录器
+            log_broker (LogBroker): 日志代理类, 用于缓存和分发日志消息
+        """
+        handler = LogQueueHandler(log_broker)
+        handler.setLevel(logging.DEBUG)
+        if logger.handlers:
+            handler.setFormatter(logger.handlers[0].formatter)
+        else:
+            # 为队列处理器设置相同格式的formatter
+            handler.setFormatter(
+                logging.Formatter(
+                    "[%(asctime)s] [%(short_levelname)s] %(plugin_tag)s[%(filename)s:%(lineno)d]: %(message)s"
+                )
+            )
+        logger.addHandler(handler)

astrbot/core/message/components.py

@@ -0,0 +1,903 @@
+"""
+MIT License
+
+Copyright (c) 2021 Lxns-Network
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+"""
+
+import asyncio
+import base64
+import json
+import os
+import typing as T
+import uuid
+from enum import Enum
+
+from pydantic.v1 import BaseModel
+
+from astrbot.core import astrbot_config, file_token_service, logger
+from astrbot.core.utils.astrbot_path import get_astrbot_data_path
+from astrbot.core.utils.io import download_file, download_image_by_url, file_to_base64
+
+
+class ComponentType(str, Enum):
+    Plain = "Plain"  # 纯文本消息
+    Face = "Face"  # QQ表情
+    Record = "Record"  # 语音
+    Video = "Video"  # 视频
+    At = "At"  # At
+    Node = "Node"  # 转发消息的一个节点
+    Nodes = "Nodes"  # 转发消息的多个节点
+    Poke = "Poke"  # QQ 戳一戳
+    Image = "Image"  # 图片
+    Reply = "Reply"  # 回复
+    Forward = "Forward"  # 转发消息
+    File = "File"  # 文件
+
+    RPS = "RPS"  # TODO
+    Dice = "Dice"  # TODO
+    Shake = "Shake"  # TODO
+    Anonymous = "Anonymous"  # TODO
+    Share = "Share"
+    Contact = "Contact"  # TODO
+    Location = "Location"  # TODO
+    Music = "Music"
+    RedBag = "RedBag"
+    Xml = "Xml"
+    Json = "Json"
+    CardImage = "CardImage"
+    TTS = "TTS"
+    Unknown = "Unknown"
+
+    WechatEmoji = "WechatEmoji"  # Wechat 下的 emoji 表情包
+
+
+class BaseMessageComponent(BaseModel):
+    type: ComponentType
+
+    def toString(self):
+        output = f"[CQ:{self.type.lower()}"
+        for k, v in self.__dict__.items():
+            if k == "type" or v is None:
+                continue
+            if k == "_type":
+                k = "type"
+            if isinstance(v, bool):
+                v = 1 if v else 0
+            output += ",%s=%s" % (
+                k,
+                str(v)
+                .replace("&", "&")
+                .replace(",", ",")
+                .replace("[", "[")
+                .replace("]", "]"),
+            )
+        output += "]"
+        return output
+
+    def toDict(self):
+        data = {}
+        for k, v in self.__dict__.items():
+            if k == "type" or v is None:
+                continue
+            if k == "_type":
+                k = "type"
+            data[k] = v
+        return {"type": self.type.lower(), "data": data}
+
+    async def to_dict(self) -> dict:
+        # 默认情况下，回退到旧的同步 toDict()
+        return self.toDict()
+
+
+class Plain(BaseMessageComponent):
+    type = ComponentType.Plain
+    text: str
+    convert: T.Optional[bool] = True  # 若为 False 则直接发送未转换 CQ 码的消息
+
+    def __init__(self, text: str, convert: bool = True, **_):
+        super().__init__(text=text, convert=convert, **_)
+
+    def toString(self):  # 没有 [CQ:plain] 这种东西，所以直接导出纯文本
+        if not self.convert:
+            return self.text
+        return (
+            self.text.replace("&", "&").replace("[", "[").replace("]", "]")
+        )
+
+    def toDict(self):
+        return {"type": "text", "data": {"text": self.text.strip()}}
+
+    async def to_dict(self):
+        return {"type": "text", "data": {"text": self.text}}
+
+
+class Face(BaseMessageComponent):
+    type = ComponentType.Face
+    id: int
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Record(BaseMessageComponent):
+    type = ComponentType.Record
+    file: T.Optional[str] = ""
+    magic: T.Optional[bool] = False
+    url: T.Optional[str] = ""
+    cache: T.Optional[bool] = True
+    proxy: T.Optional[bool] = True
+    timeout: T.Optional[int] = 0
+    # 额外
+    path: T.Optional[str]
+
+    def __init__(self, file: T.Optional[str], **_):
+        for k in _.keys():
+            if k == "url":
+                pass
+                # Protocol.warn(f"go-cqhttp doesn't support send {self.type} by {k}")
+        super().__init__(file=file, **_)
+
+    @staticmethod
+    def fromFileSystem(path, **_):
+        return Record(file=f"file:///{os.path.abspath(path)}", path=path, **_)
+
+    @staticmethod
+    def fromURL(url: str, **_):
+        if url.startswith("http://") or url.startswith("https://"):
+            return Record(file=url, **_)
+        raise Exception("not a valid url")
+
+    @staticmethod
+    def fromBase64(bs64_data: str, **_):
+        return Record(file=f"base64://{bs64_data}", **_)
+
+    async def convert_to_file_path(self) -> str:
+        """将这个语音统一转换为本地文件路径。这个方法避免了手动判断语音数据类型，直接返回语音数据的本地路径（如果是网络 URL, 则会自动进行下载）。
+
+        Returns:
+            str: 语音的本地路径，以绝对路径表示。
+        """
+        if not self.file:
+            raise Exception(f"not a valid file: {self.file}")
+        if self.file.startswith("file:///"):
+            return self.file[8:]
+        elif self.file.startswith("http"):
+            file_path = await download_image_by_url(self.file)
+            return os.path.abspath(file_path)
+        elif self.file.startswith("base64://"):
+            bs64_data = self.file.removeprefix("base64://")
+            image_bytes = base64.b64decode(bs64_data)
+            temp_dir = os.path.join(get_astrbot_data_path(), "temp")
+            file_path = os.path.join(temp_dir, f"{uuid.uuid4()}.jpg")
+            with open(file_path, "wb") as f:
+                f.write(image_bytes)
+            return os.path.abspath(file_path)
+        elif os.path.exists(self.file):
+            return os.path.abspath(self.file)
+        else:
+            raise Exception(f"not a valid file: {self.file}")
+
+    async def convert_to_base64(self) -> str:
+        """将语音统一转换为 base64 编码。这个方法避免了手动判断语音数据类型，直接返回语音数据的 base64 编码。
+
+        Returns:
+            str: 语音的 base64 编码，不以 base64:// 或者 data:image/jpeg;base64, 开头。
+        """
+        # convert to base64
+        if not self.file:
+            raise Exception(f"not a valid file: {self.file}")
+        if self.file.startswith("file:///"):
+            bs64_data = file_to_base64(self.file[8:])
+        elif self.file.startswith("http"):
+            file_path = await download_image_by_url(self.file)
+            bs64_data = file_to_base64(file_path)
+        elif self.file.startswith("base64://"):
+            bs64_data = self.file
+        elif os.path.exists(self.file):
+            bs64_data = file_to_base64(self.file)
+        else:
+            raise Exception(f"not a valid file: {self.file}")
+        bs64_data = bs64_data.removeprefix("base64://")
+        return bs64_data
+
+    async def register_to_file_service(self) -> str:
+        """
+        将语音注册到文件服务。
+
+        Returns:
+            str: 注册后的URL
+
+        Raises:
+            Exception: 如果未配置 callback_api_base
+        """
+        callback_host = astrbot_config.get("callback_api_base")
+
+        if not callback_host:
+            raise Exception("未配置 callback_api_base，文件服务不可用")
+
+        file_path = await self.convert_to_file_path()
+
+        token = await file_token_service.register_file(file_path)
+
+        logger.debug(f"已注册：{callback_host}/api/file/{token}")
+
+        return f"{callback_host}/api/file/{token}"
+
+
+class Video(BaseMessageComponent):
+    type = ComponentType.Video
+    file: str
+    cover: T.Optional[str] = ""
+    c: T.Optional[int] = 2
+    # 额外
+    path: T.Optional[str] = ""
+
+    def __init__(self, file: str, **_):
+        super().__init__(file=file, **_)
+
+    @staticmethod
+    def fromFileSystem(path, **_):
+        return Video(file=f"file:///{os.path.abspath(path)}", path=path, **_)
+
+    @staticmethod
+    def fromURL(url: str, **_):
+        if url.startswith("http://") or url.startswith("https://"):
+            return Video(file=url, **_)
+        raise Exception("not a valid url")
+
+    async def convert_to_file_path(self) -> str:
+        """将这个视频统一转换为本地文件路径。这个方法避免了手动判断视频数据类型，直接返回视频数据的本地路径（如果是网络 URL，则会自动进行下载）。
+
+        Returns:
+            str: 视频的本地路径，以绝对路径表示。
+        """
+        url = self.file
+        if url and url.startswith("file:///"):
+            return url[8:]
+        elif url and url.startswith("http"):
+            download_dir = os.path.join(get_astrbot_data_path(), "temp")
+            video_file_path = os.path.join(download_dir, f"{uuid.uuid4().hex}")
+            await download_file(url, video_file_path)
+            if os.path.exists(video_file_path):
+                return os.path.abspath(video_file_path)
+            else:
+                raise Exception(f"download failed: {url}")
+        elif os.path.exists(url):
+            return os.path.abspath(url)
+        else:
+            raise Exception(f"not a valid file: {url}")
+
+    async def register_to_file_service(self):
+        """
+        将视频注册到文件服务。
+
+        Returns:
+            str: 注册后的URL
+
+        Raises:
+            Exception: 如果未配置 callback_api_base
+        """
+        callback_host = astrbot_config.get("callback_api_base")
+
+        if not callback_host:
+            raise Exception("未配置 callback_api_base，文件服务不可用")
+
+        file_path = await self.convert_to_file_path()
+
+        token = await file_token_service.register_file(file_path)
+
+        logger.debug(f"已注册：{callback_host}/api/file/{token}")
+
+        return f"{callback_host}/api/file/{token}"
+
+    async def to_dict(self):
+        """需要和 toDict 区分开，toDict 是同步方法"""
+        url_or_path = self.file
+        if url_or_path.startswith("http"):
+            payload_file = url_or_path
+        elif callback_host := astrbot_config.get("callback_api_base"):
+            callback_host = str(callback_host).removesuffix("/")
+            token = await file_token_service.register_file(url_or_path)
+            payload_file = f"{callback_host}/api/file/{token}"
+            logger.debug(f"Generated video file callback link: {payload_file}")
+        else:
+            payload_file = url_or_path
+        return {
+            "type": "video",
+            "data": {
+                "file": payload_file,
+            },
+        }
+
+
+class At(BaseMessageComponent):
+    type = ComponentType.At
+    qq: T.Union[int, str]  # 此处str为all时代表所有人
+    name: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+    def toDict(self):
+        return {
+            "type": "at",
+            "data": {"qq": str(self.qq)},
+        }
+
+
+class AtAll(At):
+    qq: str = "all"
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class RPS(BaseMessageComponent):  # TODO
+    type = ComponentType.RPS
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Dice(BaseMessageComponent):  # TODO
+    type = ComponentType.Dice
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Shake(BaseMessageComponent):  # TODO
+    type = ComponentType.Shake
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Anonymous(BaseMessageComponent):  # TODO
+    type = ComponentType.Anonymous
+    ignore: T.Optional[bool] = False
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Share(BaseMessageComponent):
+    type = ComponentType.Share
+    url: str
+    title: str
+    content: T.Optional[str] = ""
+    image: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Contact(BaseMessageComponent):  # TODO
+    type = ComponentType.Contact
+    _type: str  # type 字段冲突
+    id: T.Optional[int] = 0
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Location(BaseMessageComponent):  # TODO
+    type = ComponentType.Location
+    lat: float
+    lon: float
+    title: T.Optional[str] = ""
+    content: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Music(BaseMessageComponent):
+    type = ComponentType.Music
+    _type: str
+    id: T.Optional[int] = 0
+    url: T.Optional[str] = ""
+    audio: T.Optional[str] = ""
+    title: T.Optional[str] = ""
+    content: T.Optional[str] = ""
+    image: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        # for k in _.keys():
+        #     if k == "_type" and _[k] not in ["qq", "163", "xm", "custom"]:
+        #         logger.warn(f"Protocol: {k}={_[k]} doesn't match values")
+        super().__init__(**_)
+
+
+class Image(BaseMessageComponent):
+    type = ComponentType.Image
+    file: T.Optional[str] = ""
+    _type: T.Optional[str] = ""
+    subType: T.Optional[int] = 0
+    url: T.Optional[str] = ""
+    cache: T.Optional[bool] = True
+    id: T.Optional[int] = 40000
+    c: T.Optional[int] = 2
+    # 额外
+    path: T.Optional[str] = ""
+    file_unique: T.Optional[str] = ""  # 某些平台可能有图片缓存的唯一标识
+
+    def __init__(self, file: T.Optional[str], **_):
+        super().__init__(file=file, **_)
+
+    @staticmethod
+    def fromURL(url: str, **_):
+        if url.startswith("http://") or url.startswith("https://"):
+            return Image(file=url, **_)
+        raise Exception("not a valid url")
+
+    @staticmethod
+    def fromFileSystem(path, **_):
+        return Image(file=f"file:///{os.path.abspath(path)}", path=path, **_)
+
+    @staticmethod
+    def fromBase64(base64: str, **_):
+        return Image(f"base64://{base64}", **_)
+
+    @staticmethod
+    def fromBytes(byte: bytes):
+        return Image.fromBase64(base64.b64encode(byte).decode())
+
+    @staticmethod
+    def fromIO(IO):
+        return Image.fromBytes(IO.read())
+
+    async def convert_to_file_path(self) -> str:
+        """将这个图片统一转换为本地文件路径。这个方法避免了手动判断图片数据类型，直接返回图片数据的本地路径（如果是网络 URL, 则会自动进行下载）。
+
+        Returns:
+            str: 图片的本地路径，以绝对路径表示。
+        """
+        url = self.url or self.file
+        if not url:
+            raise ValueError("No valid file or URL provided")
+        if url.startswith("file:///"):
+            return url[8:]
+        elif url.startswith("http"):
+            image_file_path = await download_image_by_url(url)
+            return os.path.abspath(image_file_path)
+        elif url.startswith("base64://"):
+            bs64_data = url.removeprefix("base64://")
+            image_bytes = base64.b64decode(bs64_data)
+            temp_dir = os.path.join(get_astrbot_data_path(), "temp")
+            image_file_path = os.path.join(temp_dir, f"{uuid.uuid4()}.jpg")
+            with open(image_file_path, "wb") as f:
+                f.write(image_bytes)
+            return os.path.abspath(image_file_path)
+        elif os.path.exists(url):
+            return os.path.abspath(url)
+        else:
+            raise Exception(f"not a valid file: {url}")
+
+    async def convert_to_base64(self) -> str:
+        """将这个图片统一转换为 base64 编码。这个方法避免了手动判断图片数据类型，直接返回图片数据的 base64 编码。
+
+        Returns:
+            str: 图片的 base64 编码，不以 base64:// 或者 data:image/jpeg;base64, 开头。
+        """
+        # convert to base64
+        url = self.url or self.file
+        if not url:
+            raise ValueError("No valid file or URL provided")
+        if url.startswith("file:///"):
+            bs64_data = file_to_base64(url[8:])
+        elif url.startswith("http"):
+            image_file_path = await download_image_by_url(url)
+            bs64_data = file_to_base64(image_file_path)
+        elif url.startswith("base64://"):
+            bs64_data = url
+        elif os.path.exists(url):
+            bs64_data = file_to_base64(url)
+        else:
+            raise Exception(f"not a valid file: {url}")
+        bs64_data = bs64_data.removeprefix("base64://")
+        return bs64_data
+
+    async def register_to_file_service(self) -> str:
+        """
+        将图片注册到文件服务。
+
+        Returns:
+            str: 注册后的URL
+
+        Raises:
+            Exception: 如果未配置 callback_api_base
+        """
+        callback_host = astrbot_config.get("callback_api_base")
+
+        if not callback_host:
+            raise Exception("未配置 callback_api_base，文件服务不可用")
+
+        file_path = await self.convert_to_file_path()
+
+        token = await file_token_service.register_file(file_path)
+
+        logger.debug(f"已注册：{callback_host}/api/file/{token}")
+
+        return f"{callback_host}/api/file/{token}"
+
+
+class Reply(BaseMessageComponent):
+    type = ComponentType.Reply
+    id: T.Union[str, int]
+    """所引用的消息 ID"""
+    chain: T.Optional[T.List["BaseMessageComponent"]] = []
+    """被引用的消息段列表"""
+    sender_id: T.Optional[int] | T.Optional[str] = 0
+    """被引用的消息对应的发送者的 ID"""
+    sender_nickname: T.Optional[str] = ""
+    """被引用的消息对应的发送者的昵称"""
+    time: T.Optional[int] = 0
+    """被引用的消息发送时间"""
+    message_str: T.Optional[str] = ""
+    """被引用的消息解析后的纯文本消息字符串"""
+
+    text: T.Optional[str] = ""
+    """deprecated"""
+    qq: T.Optional[int] = 0
+    """deprecated"""
+    seq: T.Optional[int] = 0
+    """deprecated"""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class RedBag(BaseMessageComponent):
+    type = ComponentType.RedBag
+    title: str
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Poke(BaseMessageComponent):
+    type: str = ComponentType.Poke
+    id: T.Optional[int] = 0
+    qq: T.Optional[int] = 0
+
+    def __init__(self, type: str, **_):
+        type = f"Poke:{type}"
+        super().__init__(type=type, **_)
+
+
+class Forward(BaseMessageComponent):
+    type = ComponentType.Forward
+    id: str
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Node(BaseMessageComponent):
+    """群合并转发消息"""
+
+    type = ComponentType.Node
+    id: T.Optional[int] = 0  # 忽略
+    name: T.Optional[str] = ""  # qq昵称
+    uin: T.Optional[str] = "0"  # qq号
+    content: T.Optional[list[BaseMessageComponent]] = []
+    seq: T.Optional[T.Union[str, list]] = ""  # 忽略
+    time: T.Optional[int] = 0  # 忽略
+
+    def __init__(self, content: list[BaseMessageComponent], **_):
+        if isinstance(content, Node):
+            # back
+            content = [content]
+        super().__init__(content=content, **_)
+
+    async def to_dict(self):
+        data_content = []
+        for comp in self.content:
+            if isinstance(comp, (Image, Record)):
+                # For Image and Record segments, we convert them to base64
+                bs64 = await comp.convert_to_base64()
+                data_content.append(
+                    {
+                        "type": comp.type.lower(),
+                        "data": {"file": f"base64://{bs64}"},
+                    }
+                )
+            elif isinstance(comp, Plain):
+                # For Plain segments, we need to handle the plain differently
+                d = await comp.to_dict()
+                data_content.append(d)
+            elif isinstance(comp, File):
+                # For File segments, we need to handle the file differently
+                d = await comp.to_dict()
+                data_content.append(d)
+            elif isinstance(comp, (Node, Nodes)):
+                # For Node segments, we recursively convert them to dict
+                d = await comp.to_dict()
+                data_content.append(d)
+            else:
+                d = comp.toDict()
+                data_content.append(d)
+        return {
+            "type": "node",
+            "data": {
+                "user_id": str(self.uin),
+                "nickname": self.name,
+                "content": data_content,
+            },
+        }
+
+
+class Nodes(BaseMessageComponent):
+    type = ComponentType.Nodes
+    nodes: T.List[Node]
+
+    def __init__(self, nodes: T.List[Node], **_):
+        super().__init__(nodes=nodes, **_)
+
+    def toDict(self):
+        """Deprecated. Use to_dict instead"""
+        ret = {
+            "messages": [],
+        }
+        for node in self.nodes:
+            d = node.toDict()
+            ret["messages"].append(d)
+        return ret
+
+    async def to_dict(self):
+        """将 Nodes 转换为字典格式，适用于 OneBot JSON 格式"""
+        ret = {"messages": []}
+        for node in self.nodes:
+            d = await node.to_dict()
+            ret["messages"].append(d)
+        return ret
+
+
+class Xml(BaseMessageComponent):
+    type = ComponentType.Xml
+    data: str
+    resid: T.Optional[int] = 0
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Json(BaseMessageComponent):
+    type = ComponentType.Json
+    data: T.Union[str, dict]
+    resid: T.Optional[int] = 0
+
+    def __init__(self, data, **_):
+        if isinstance(data, dict):
+            data = json.dumps(data)
+        super().__init__(data=data, **_)
+
+
+class CardImage(BaseMessageComponent):
+    type = ComponentType.CardImage
+    file: str
+    cache: T.Optional[bool] = True
+    minwidth: T.Optional[int] = 400
+    minheight: T.Optional[int] = 400
+    maxwidth: T.Optional[int] = 500
+    maxheight: T.Optional[int] = 500
+    source: T.Optional[str] = ""
+    icon: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+    @staticmethod
+    def fromFileSystem(path, **_):
+        return CardImage(file=f"file:///{os.path.abspath(path)}", **_)
+
+
+class TTS(BaseMessageComponent):
+    type = ComponentType.TTS
+    text: str
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+class Unknown(BaseMessageComponent):
+    type = ComponentType.Unknown
+    text: str
+
+    def toString(self):
+        return ""
+
+
+class File(BaseMessageComponent):
+    """
+    文件消息段
+    """
+
+    type = ComponentType.File
+    name: T.Optional[str] = ""  # 名字
+    file_: T.Optional[str] = ""  # 本地路径
+    url: T.Optional[str] = ""  # url
+
+    def __init__(self, name: str, file: str = "", url: str = ""):
+        """文件消息段。"""
+        super().__init__(name=name, file_=file, url=url)
+
+    @property
+    def file(self) -> str:
+        """
+        获取文件路径，如果文件不存在但有URL，则同步下载文件
+
+        Returns:
+            str: 文件路径
+        """
+        if self.file_ and os.path.exists(self.file_):
+            return os.path.abspath(self.file_)
+
+        if self.url:
+            try:
+                loop = asyncio.get_event_loop()
+                if loop.is_running():
+                    logger.warning(
+                        (
+                            "不可以在异步上下文中同步等待下载! "
+                            "这个警告通常发生于某些逻辑试图通过 <File>.file 获取文件消息段的文件内容。"
+                            "请使用 await get_file() 代替直接获取 <File>.file 字段"
+                        )
+                    )
+                    return ""
+                else:
+                    # 等待下载完成
+                    loop.run_until_complete(self._download_file())
+
+                    if self.file_ and os.path.exists(self.file_):
+                        return os.path.abspath(self.file_)
+            except Exception as e:
+                logger.error(f"文件下载失败: {e}")
+
+        return ""
+
+    @file.setter
+    def file(self, value: str):
+        """
+        向前兼容, 设置file属性, 传入的参数可能是文件路径或URL
+
+        Args:
+            value (str): 文件路径或URL
+        """
+        if value.startswith("http://") or value.startswith("https://"):
+            self.url = value
+        else:
+            self.file_ = value
+
+    async def get_file(self, allow_return_url: bool = False) -> str:
+        """异步获取文件。请注意在使用后清理下载的文件, 以免占用过多空间
+
+        Args:
+            allow_return_url: 是否允许以文件 http 下载链接的形式返回，这允许您自行控制是否需要下载文件。
+            注意，如果为 True，也可能返回文件路径。
+        Returns:
+            str: 文件路径或者 http 下载链接
+        """
+        if allow_return_url and self.url:
+            return self.url
+
+        if self.file_ and os.path.exists(self.file_):
+            return os.path.abspath(self.file_)
+
+        if self.url:
+            await self._download_file()
+            return os.path.abspath(self.file_)
+
+        return ""
+
+    async def _download_file(self):
+        """下载文件"""
+        download_dir = os.path.join(get_astrbot_data_path(), "temp")
+        os.makedirs(download_dir, exist_ok=True)
+        file_path = os.path.join(download_dir, f"{uuid.uuid4().hex}")
+        await download_file(self.url, file_path)
+        self.file_ = os.path.abspath(file_path)
+
+    async def register_to_file_service(self):
+        """
+        将文件注册到文件服务。
+
+        Returns:
+            str: 注册后的URL
+
+        Raises:
+            Exception: 如果未配置 callback_api_base
+        """
+        callback_host = astrbot_config.get("callback_api_base")
+
+        if not callback_host:
+            raise Exception("未配置 callback_api_base，文件服务不可用")
+
+        file_path = await self.get_file()
+
+        token = await file_token_service.register_file(file_path)
+
+        logger.debug(f"已注册：{callback_host}/api/file/{token}")
+
+        return f"{callback_host}/api/file/{token}"
+
+    async def to_dict(self):
+        """需要和 toDict 区分开，toDict 是同步方法"""
+        url_or_path = await self.get_file(allow_return_url=True)
+        if url_or_path.startswith("http"):
+            payload_file = url_or_path
+        elif callback_host := astrbot_config.get("callback_api_base"):
+            callback_host = str(callback_host).removesuffix("/")
+            token = await file_token_service.register_file(url_or_path)
+            payload_file = f"{callback_host}/api/file/{token}"
+            logger.debug(f"Generated file callback link: {payload_file}")
+        else:
+            payload_file = url_or_path
+        return {
+            "type": "file",
+            "data": {
+                "name": self.name,
+                "file": payload_file,
+            },
+        }
+
+
+class WechatEmoji(BaseMessageComponent):
+    type = ComponentType.WechatEmoji
+    md5: T.Optional[str] = ""
+    md5_len: T.Optional[int] = 0
+    cdnurl: T.Optional[str] = ""
+
+    def __init__(self, **_):
+        super().__init__(**_)
+
+
+ComponentTypes = {
+    "plain": Plain,
+    "text": Plain,
+    "face": Face,
+    "record": Record,
+    "video": Video,
+    "at": At,
+    "rps": RPS,
+    "dice": Dice,
+    "shake": Shake,
+    "anonymous": Anonymous,
+    "share": Share,
+    "contact": Contact,
+    "location": Location,
+    "music": Music,
+    "image": Image,
+    "reply": Reply,
+    "redbag": RedBag,
+    "poke": Poke,
+    "forward": Forward,
+    "node": Node,
+    "nodes": Nodes,
+    "xml": Xml,
+    "json": Json,
+    "cardimage": CardImage,
+    "tts": TTS,
+    "unknown": Unknown,
+    "file": File,
+    "WechatEmoji": WechatEmoji,
+}

astrbot/core/message/message_event_result.py

@@ -0,0 +1,233 @@
+import enum
+
+from typing import List, Optional, Union, AsyncGenerator
+from dataclasses import dataclass, field
+from astrbot.core.message.components import (
+    BaseMessageComponent,
+    Plain,
+    Image,
+    At,
+    AtAll,
+)
+from typing_extensions import deprecated
+
+
+@dataclass
+class MessageChain:
+    """MessageChain 描述了一整条消息中带有的所有组件。
+    现代消息平台的一条富文本消息中可能由多个组件构成，如文本、图片、At 等，并且保留了顺序。
+
+    Attributes:
+        `chain` (list): 用于顺序存储各个组件。
+        `use_t2i_` (bool): 用于标记是否使用文本转图片服务。默认为 None，即跟随用户的设置。当设置为 True 时，将会使用文本转图片服务。
+    """
+
+    chain: List[BaseMessageComponent] = field(default_factory=list)
+    use_t2i_: Optional[bool] = None  # None 为跟随用户设置
+    type: Optional[str] = None
+    """消息链承载的消息的类型。可选，用于让消息平台区分不同业务场景的消息链。"""
+
+    def message(self, message: str):
+        """添加一条文本消息到消息链 `chain` 中。
+
+        Example:
+
+            CommandResult().message("Hello ").message("world!")
+            # 输出 Hello world!
+
+        """
+        self.chain.append(Plain(message))
+        return self
+
+    def at(self, name: str, qq: Union[str, int]):
+        """添加一条 At 消息到消息链 `chain` 中。
+
+        Example:
+
+            CommandResult().at("张三", "12345678910")
+            # 输出 @张三
+
+        """
+        self.chain.append(At(name=name, qq=qq))
+        return self
+
+    def at_all(self):
+        """添加一条 AtAll 消息到消息链 `chain` 中。
+
+        Example:
+
+            CommandResult().at_all()
+            # 输出 @所有人
+
+        """
+        self.chain.append(AtAll())
+        return self
+
+    @deprecated("请使用 message 方法代替。")
+    def error(self, message: str):
+        """添加一条错误消息到消息链 `chain` 中
+
+        Example:
+
+            CommandResult().error("解析失败")
+
+        """
+        self.chain.append(Plain(message))
+        return self
+
+    def url_image(self, url: str):
+        """添加一条图片消息（https 链接）到消息链 `chain` 中。
+
+        Note:
+            如果需要发送本地图片，请使用 `file_image` 方法。
+
+        Example:
+
+            CommandResult().image("https://example.com/image.jpg")
+
+        """
+        self.chain.append(Image.fromURL(url))
+        return self
+
+    def file_image(self, path: str):
+        """添加一条图片消息（本地文件路径）到消息链 `chain` 中。
+
+        Note:
+            如果需要发送网络图片，请使用 `url_image` 方法。
+
+        CommandResult().image("image.jpg")
+        """
+        self.chain.append(Image.fromFileSystem(path))
+        return self
+
+    def base64_image(self, base64_str: str):
+        """添加一条图片消息（base64 编码字符串）到消息链 `chain` 中。
+        Example:
+
+            CommandResult().base64_image("iVBORw0KGgoAAAANSUhEUgAAAAUA...")
+        """
+        self.chain.append(Image.fromBase64(base64_str))
+        return self
+
+    def use_t2i(self, use_t2i: bool):
+        """设置是否使用文本转图片服务。
+
+        Args:
+            use_t2i (bool): 是否使用文本转图片服务。默认为 None，即跟随用户的设置。当设置为 True 时，将会使用文本转图片服务。
+        """
+        self.use_t2i_ = use_t2i
+        return self
+
+    def get_plain_text(self) -> str:
+        """获取纯文本消息。这个方法将获取 chain 中所有 Plain 组件的文本并拼接成一条消息。空格分隔。"""
+        return " ".join([comp.text for comp in self.chain if isinstance(comp, Plain)])
+
+    def squash_plain(self):
+        """将消息链中的所有 Plain 消息段聚合到第一个 Plain 消息段中。"""
+        if not self.chain:
+            return
+
+        new_chain = []
+        first_plain = None
+        plain_texts = []
+
+        for comp in self.chain:
+            if isinstance(comp, Plain):
+                if first_plain is None:
+                    first_plain = comp
+                    new_chain.append(comp)
+                plain_texts.append(comp.text)
+            else:
+                new_chain.append(comp)
+
+        if first_plain is not None:
+            first_plain.text = "".join(plain_texts)
+
+        self.chain = new_chain
+        return self
+
+
+class EventResultType(enum.Enum):
+    """用于描述事件处理的结果类型。
+
+    Attributes:
+        CONTINUE: 事件将会继续传播
+        STOP: 事件将会终止传播
+    """
+
+    CONTINUE = enum.auto()
+    STOP = enum.auto()
+
+
+class ResultContentType(enum.Enum):
+    """用于描述事件结果的内容的类型。"""
+
+    LLM_RESULT = enum.auto()
+    """调用 LLM 产生的结果"""
+    GENERAL_RESULT = enum.auto()
+    """普通的消息结果"""
+    STREAMING_RESULT = enum.auto()
+    """调用 LLM 产生的流式结果"""
+    STREAMING_FINISH = enum.auto()
+    """流式输出完成"""
+
+
+@dataclass
+class MessageEventResult(MessageChain):
+    """MessageEventResult 描述了一整条消息中带有的所有组件以及事件处理的结果。
+    现代消息平台的一条富文本消息中可能由多个组件构成，如文本、图片、At 等，并且保留了顺序。
+
+    Attributes:
+        `chain` (list): 用于顺序存储各个组件。
+        `use_t2i_` (bool): 用于标记是否使用文本转图片服务。默认为 None，即跟随用户的设置。当设置为 True 时，将会使用文本转图片服务。
+        `result_type` (EventResultType): 事件处理的结果类型。
+    """
+
+    result_type: Optional[EventResultType] = field(
+        default_factory=lambda: EventResultType.CONTINUE
+    )
+
+    result_content_type: Optional[ResultContentType] = field(
+        default_factory=lambda: ResultContentType.GENERAL_RESULT
+    )
+
+    async_stream: Optional[AsyncGenerator] = None
+    """异步流"""
+
+    def stop_event(self) -> "MessageEventResult":
+        """终止事件传播。"""
+        self.result_type = EventResultType.STOP
+        return self
+
+    def continue_event(self) -> "MessageEventResult":
+        """继续事件传播。"""
+        self.result_type = EventResultType.CONTINUE
+        return self
+
+    def is_stopped(self) -> bool:
+        """
+        是否终止事件传播。
+        """
+        return self.result_type == EventResultType.STOP
+
+    def set_async_stream(self, stream: AsyncGenerator) -> "MessageEventResult":
+        """设置异步流。"""
+        self.async_stream = stream
+        return self
+
+    def set_result_content_type(self, typ: ResultContentType) -> "MessageEventResult":
+        """设置事件处理的结果类型。
+
+        Args:
+            result_type (EventResultType): 事件处理的结果类型。
+        """
+        self.result_content_type = typ
+        return self
+
+    def is_llm_result(self) -> bool:
+        """是否为 LLM 结果。"""
+        return self.result_content_type == ResultContentType.LLM_RESULT
+
+
+# 为了兼容旧版代码，保留 CommandResult 的别名
+CommandResult = MessageEventResult

astrbot/core/persona_mgr.py

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

astrbot/core/pipeline/__init__.py

@@ -0,0 +1,41 @@
+from astrbot.core.message.message_event_result import (
+    EventResultType,
+    MessageEventResult,
+)
+
+from .content_safety_check.stage import ContentSafetyCheckStage
+from .preprocess_stage.stage import PreProcessStage
+from .process_stage.stage import ProcessStage
+from .rate_limit_check.stage import RateLimitStage
+from .respond.stage import RespondStage
+from .result_decorate.stage import ResultDecorateStage
+from .session_status_check.stage import SessionStatusCheckStage
+from .waking_check.stage import WakingCheckStage
+from .whitelist_check.stage import WhitelistCheckStage
+
+# 管道阶段顺序
+STAGES_ORDER = [
+    "WakingCheckStage",  # 检查是否需要唤醒
+    "WhitelistCheckStage",  # 检查是否在群聊/私聊白名单
+    "SessionStatusCheckStage",  # 检查会话是否整体启用
+    "RateLimitStage",  # 检查会话是否超过频率限制
+    "ContentSafetyCheckStage",  # 检查内容安全
+    "PreProcessStage",  # 预处理
+    "ProcessStage",  # 交由 Stars 处理（a.k.a 插件），或者 LLM 调用
+    "ResultDecorateStage",  # 处理结果，比如添加回复前缀、t2i、转换为语音 等
+    "RespondStage",  # 发送消息
+]
+
+__all__ = [
+    "WakingCheckStage",
+    "WhitelistCheckStage",
+    "SessionStatusCheckStage",
+    "RateLimitStage",
+    "ContentSafetyCheckStage",
+    "PreProcessStage",
+    "ProcessStage",
+    "ResultDecorateStage",
+    "RespondStage",
+    "MessageEventResult",
+    "EventResultType",
+]

astrbot/core/pipeline/content_safety_check/stage.py

@@ -0,0 +1,37 @@
+from typing import Union, AsyncGenerator
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import MessageEventResult
+from astrbot.core import logger
+from .strategies.strategy import StrategySelector
+
+
+@register_stage
+class ContentSafetyCheckStage(Stage):
+    """检查内容安全
+
+    当前只会检查文本的。
+    """
+
+    async def initialize(self, ctx: PipelineContext):
+        config = ctx.astrbot_config["content_safety"]
+        self.strategy_selector = StrategySelector(config)
+
+    async def process(
+        self, event: AstrMessageEvent, check_text: str | None = None
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        """检查内容安全"""
+        text = check_text if check_text else event.get_message_str()
+        ok, info = self.strategy_selector.check(text)
+        if not ok:
+            if event.is_at_or_wake_command:
+                event.set_result(
+                    MessageEventResult().message(
+                        "你的消息或者大模型的响应中包含不适当的内容，已被屏蔽。"
+                    )
+                )
+                yield
+            event.stop_event()
+            logger.info(f"内容安全检查不通过，原因：{info}")
+            return

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

@@ -0,0 +1,8 @@
+import abc
+from typing import Tuple
+
+
+class ContentSafetyStrategy(abc.ABC):
+    @abc.abstractmethod
+    def check(self, content: str) -> Tuple[bool, str]:
+        raise NotImplementedError

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

@@ -0,0 +1,30 @@
+"""
+使用此功能应该先 pip install baidu-aip
+"""
+
+from . import ContentSafetyStrategy
+from aip import AipContentCensor
+
+
+class BaiduAipStrategy(ContentSafetyStrategy):
+    def __init__(self, appid: str, ak: str, sk: str) -> None:
+        self.app_id = appid
+        self.api_key = ak
+        self.secret_key = sk
+        self.client = AipContentCensor(self.app_id, self.api_key, self.secret_key)
+
+    def check(self, content: str) -> tuple[bool, str]:
+        res = self.client.textCensorUserDefined(content)
+        if "conclusionType" not in res:
+            return False, ""
+        if res["conclusionType"] == 1:
+            return True, ""
+        else:
+            if "data" not in res:
+                return False, ""
+            count = len(res["data"])
+            info = f"百度审核服务发现 {count} 处违规：\n"
+            for i in res["data"]:
+                info += f"{i['msg']}；\n"
+            info += "\n判断结果：" + res["conclusion"]
+            return False, info

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

@@ -0,0 +1,23 @@
+import re
+from . import ContentSafetyStrategy
+
+
+class KeywordsStrategy(ContentSafetyStrategy):
+    def __init__(self, extra_keywords: list) -> None:
+        self.keywords = []
+        if extra_keywords is None:
+            extra_keywords = []
+        self.keywords.extend(extra_keywords)
+        # keywords_path = os.path.join(os.path.dirname(__file__), "unfit_words")
+        # internal keywords
+        # if os.path.exists(keywords_path):
+        #     with open(keywords_path, "r", encoding="utf-8") as f:
+        #         self.keywords.extend(
+        #             json.loads(base64.b64decode(f.read()).decode("utf-8"))["keywords"]
+        #         )
+
+    def check(self, content: str) -> tuple[bool, str]:
+        for keyword in self.keywords:
+            if re.search(keyword, content):
+                return False, "内容安全检查不通过，匹配到敏感词。"
+        return True, ""

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

@@ -0,0 +1,34 @@
+from . import ContentSafetyStrategy
+from typing import List, Tuple
+from astrbot import logger
+
+
+class StrategySelector:
+    def __init__(self, config: dict) -> None:
+        self.enabled_strategies: List[ContentSafetyStrategy] = []
+        if config["internal_keywords"]["enable"]:
+            from .keywords import KeywordsStrategy
+
+            self.enabled_strategies.append(
+                KeywordsStrategy(config["internal_keywords"]["extra_keywords"])
+            )
+        if config["baidu_aip"]["enable"]:
+            try:
+                from .baidu_aip import BaiduAipStrategy
+            except ImportError:
+                logger.warning("使用百度内容审核应该先 pip install baidu-aip")
+                return
+            self.enabled_strategies.append(
+                BaiduAipStrategy(
+                    config["baidu_aip"]["app_id"],
+                    config["baidu_aip"]["api_key"],
+                    config["baidu_aip"]["secret_key"],
+                )
+            )
+
+    def check(self, content: str) -> Tuple[bool, str]:
+        for strategy in self.enabled_strategies:
+            ok, info = strategy.check(content)
+            if not ok:
+                return False, info
+        return True, ""

astrbot/core/pipeline/context.py

@@ -0,0 +1,15 @@
+from dataclasses import dataclass
+from astrbot.core.config import AstrBotConfig
+from astrbot.core.star import PluginManager
+from .context_utils import call_handler, call_event_hook
+
+
+@dataclass
+class PipelineContext:
+    """上下文对象，包含管道执行所需的上下文信息"""
+
+    astrbot_config: AstrBotConfig  # AstrBot 配置对象
+    plugin_manager: PluginManager  # 插件管理器对象
+    astrbot_config_id: str
+    call_handler = call_handler
+    call_event_hook = call_event_hook

astrbot/core/pipeline/context_utils.py

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

astrbot/core/pipeline/preprocess_stage/stage.py

@@ -0,0 +1,97 @@
+import traceback
+import asyncio
+import random
+from typing import Union, AsyncGenerator
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core import logger
+from astrbot.core.message.components import Plain, Record, Image
+
+
+@register_stage
+class PreProcessStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.ctx = ctx
+        self.config = ctx.astrbot_config
+        self.plugin_manager = ctx.plugin_manager
+
+        self.stt_settings: dict = self.config.get("provider_stt_settings", {})
+        self.platform_settings: dict = self.config.get("platform_settings", {})
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        """在处理事件之前的预处理"""
+        # 平台特异配置：platform_specific.<platform>.pre_ack_emoji
+        supported = {"telegram", "lark"}
+        platform = event.get_platform_name()
+        cfg = (
+            self.config.get("platform_specific", {})
+            .get(platform, {})
+            .get("pre_ack_emoji", {})
+        ) or {}
+        emojis = cfg.get("emojis") or []
+        if (
+            cfg.get("enable", False)
+            and platform in supported
+            and emojis
+            and event.is_at_or_wake_command
+        ):
+            try:
+                await event.react(random.choice(emojis))
+            except Exception as e:
+                logger.warning(f"{platform} 预回应表情发送失败: {e}")
+
+        # 路径映射
+        if mappings := self.platform_settings.get("path_mapping", []):
+            # 支持 Record，Image 消息段的路径映射。
+            message_chain = event.get_messages()
+
+            for idx, component in enumerate(message_chain):
+                if isinstance(component, (Record, Image)) and component.url:
+                    for mapping in mappings:
+                        from_, to_ = mapping.split(":")
+                        from_ = from_.removesuffix("/")
+                        to_ = to_.removesuffix("/")
+
+                        url = component.url.removeprefix("file://")
+                        if url.startswith(from_):
+                            component.url = url.replace(from_, to_, 1)
+                            logger.debug(f"路径映射: {url} -> {component.url}")
+                    message_chain[idx] = component
+
+        # STT
+        if self.stt_settings.get("enable", False):
+            # TODO: 独立
+            ctx = self.plugin_manager.context
+            stt_provider = ctx.get_using_stt_provider(event.unified_msg_origin)
+            if not stt_provider:
+                logger.warning(
+                    f"会话 {event.unified_msg_origin} 未配置语音转文本模型。"
+                )
+                return
+            message_chain = event.get_messages()
+            for idx, component in enumerate(message_chain):
+                if isinstance(component, Record) and component.url:
+                    path = component.url.removeprefix("file://")
+                    retry = 5
+                    for i in range(retry):
+                        try:
+                            result = await stt_provider.get_text(audio_url=path)
+                            if result:
+                                logger.info("语音转文本结果: " + result)
+                                message_chain[idx] = Plain(result)
+                                event.message_str += result
+                                event.message_obj.message_str += result
+                            break
+                        except FileNotFoundError as e:
+                            # napcat workaround
+                            logger.warning(e)
+                            logger.warning(f"重试中: {i + 1}/{retry}")
+                            await asyncio.sleep(0.5)
+                            continue
+                        except BaseException as e:
+                            logger.error(traceback.format_exc())
+                            logger.error(f"语音转文本失败: {e}")
+                            break

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

@@ -0,0 +1,630 @@
+"""
+本地 Agent 模式的 LLM 调用 Stage
+"""
+
+import asyncio
+import copy
+import json
+import traceback
+from typing import AsyncGenerator, Union
+from astrbot.core.conversation_mgr import Conversation
+from astrbot.core import logger
+from astrbot.core.message.components import Image
+from astrbot.core.message.message_event_result import (
+    MessageChain,
+    MessageEventResult,
+    ResultContentType,
+)
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.provider import Provider
+from astrbot.core.provider.entities import (
+    LLMResponse,
+    ProviderRequest,
+)
+from astrbot.core.agent.hooks import BaseAgentRunHooks
+from astrbot.core.agent.runners.tool_loop_agent_runner import ToolLoopAgentRunner
+from astrbot.core.agent.run_context import ContextWrapper
+from astrbot.core.agent.tool import ToolSet, FunctionTool
+from astrbot.core.agent.tool_executor import BaseFunctionToolExecutor
+from astrbot.core.agent.handoff import HandoffTool
+from astrbot.core.star.session_llm_manager import SessionServiceManager
+from astrbot.core.star.star_handler import EventType
+from astrbot.core.utils.metrics import Metric
+from ...context import PipelineContext, call_event_hook, call_handler
+from ..stage import Stage
+from astrbot.core.provider.register import llm_tools
+from astrbot.core.star.star_handler import star_map
+from astrbot.core.astr_agent_context import AstrAgentContext
+
+try:
+    import mcp
+except (ModuleNotFoundError, ImportError):
+    logger.warning("警告: 缺少依赖库 'mcp'，将无法使用 MCP 服务。")
+
+
+AgentContextWrapper = ContextWrapper[AstrAgentContext]
+AgentRunner = ToolLoopAgentRunner[AgentContextWrapper]
+
+
+class FunctionToolExecutor(BaseFunctionToolExecutor[AstrAgentContext]):
+    @classmethod
+    async def execute(cls, tool, run_context, **tool_args):
+        """执行函数调用。
+
+        Args:
+            event (AstrMessageEvent): 事件对象, 当 origin 为 local 时必须提供。
+            **kwargs: 函数调用的参数。
+
+        Returns:
+            AsyncGenerator[None | mcp.types.CallToolResult, None]
+        """
+        if isinstance(tool, HandoffTool):
+            async for r in cls._execute_handoff(tool, run_context, **tool_args):
+                yield r
+            return
+
+        if tool.origin == "local":
+            async for r in cls._execute_local(tool, run_context, **tool_args):
+                yield r
+            return
+
+        elif tool.origin == "mcp":
+            async for r in cls._execute_mcp(tool, run_context, **tool_args):
+                yield r
+            return
+
+        raise Exception(f"Unknown function origin: {tool.origin}")
+
+    @classmethod
+    async def _execute_handoff(
+        cls,
+        tool: HandoffTool,
+        run_context: ContextWrapper[AstrAgentContext],
+        **tool_args,
+    ):
+        input_ = tool_args.get("input", "agent")
+        agent_runner = AgentRunner()
+
+        # make toolset for the agent
+        tools = tool.agent.tools
+        if tools:
+            toolset = ToolSet()
+            for t in tools:
+                if isinstance(t, str):
+                    _t = llm_tools.get_func(t)
+                    if _t:
+                        toolset.add_tool(_t)
+                elif isinstance(t, FunctionTool):
+                    toolset.add_tool(t)
+        else:
+            toolset = None
+
+        request = ProviderRequest(
+            prompt=input_,
+            system_prompt=tool.description,
+            image_urls=[],  # 暂时不传递原始 agent 的上下文
+            contexts=[],  # 暂时不传递原始 agent 的上下文
+            func_tool=toolset,
+        )
+        astr_agent_ctx = AstrAgentContext(
+            provider=run_context.context.provider,
+            first_provider_request=run_context.context.first_provider_request,
+            curr_provider_request=request,
+            streaming=run_context.context.streaming,
+        )
+
+        logger.debug(f"正在将任务委托给 Agent: {tool.agent.name}, input: {input_}")
+        await run_context.event.send(
+            MessageChain().message("✨ 正在将任务委托给 Agent: " + tool.agent.name)
+        )
+
+        await agent_runner.reset(
+            provider=run_context.context.provider,
+            request=request,
+            run_context=AgentContextWrapper(
+                context=astr_agent_ctx, event=run_context.event
+            ),
+            tool_executor=FunctionToolExecutor(),
+            agent_hooks=tool.agent.run_hooks or BaseAgentRunHooks[AstrAgentContext](),
+            streaming=run_context.context.streaming,
+        )
+
+        async for _ in run_agent(agent_runner, 15, True):
+            pass
+
+        if agent_runner.done():
+            llm_response = agent_runner.get_final_llm_resp()
+
+            if not llm_response:
+                text_content = mcp.types.TextContent(
+                    type="text",
+                    text=f"error when deligate task to {tool.agent.name}",
+                )
+                yield mcp.types.CallToolResult(content=[text_content])
+                return
+
+            logger.debug(
+                f"Agent  {tool.agent.name} 任务完成, response: {llm_response.completion_text}"
+            )
+
+            result = (
+                f"Agent {tool.agent.name} respond with: {llm_response.completion_text}\n\n"
+                "Note: If the result is error or need user provide more information, please provide more information to the agent(you can ask user for more information first)."
+            )
+
+            text_content = mcp.types.TextContent(
+                type="text",
+                text=result,
+            )
+            yield mcp.types.CallToolResult(content=[text_content])
+        else:
+            text_content = mcp.types.TextContent(
+                type="text",
+                text=f"error when deligate task to {tool.agent.name}",
+            )
+            yield mcp.types.CallToolResult(content=[text_content])
+        return
+
+    @classmethod
+    async def _execute_local(
+        cls,
+        tool: FunctionTool,
+        run_context: ContextWrapper[AstrAgentContext],
+        **tool_args,
+    ):
+        if not run_context.event:
+            raise ValueError("Event must be provided for local function tools.")
+
+        # 检查 tool 下有没有 run 方法
+        if not tool.handler and not hasattr(tool, "run"):
+            raise ValueError("Tool must have a valid handler or 'run' method.")
+        awaitable = tool.handler or getattr(tool, "run")
+
+        wrapper = call_handler(
+            event=run_context.event,
+            handler=awaitable,
+            **tool_args,
+        )
+        async for resp in wrapper:
+            if resp is not None:
+                if isinstance(resp, mcp.types.CallToolResult):
+                    yield resp
+                else:
+                    text_content = mcp.types.TextContent(
+                        type="text",
+                        text=str(resp),
+                    )
+                    yield mcp.types.CallToolResult(content=[text_content])
+            else:
+                # NOTE: Tool 在这里直接请求发送消息给用户
+                # TODO: 是否需要判断 event.get_result() 是否为空?
+                # 如果为空,则说明没有发送消息给用户,并且返回值为空,将返回一个特殊的 TextContent,其内容如"工具没有返回内容"
+                yield None
+
+    @classmethod
+    async def _execute_mcp(
+        cls,
+        tool: FunctionTool,
+        run_context: ContextWrapper[AstrAgentContext],
+        **tool_args,
+    ):
+        if not tool.mcp_client:
+            raise ValueError("MCP client is not available for MCP function tools.")
+
+        session = tool.mcp_client.session
+        if not session:
+            raise ValueError("MCP session is not available for MCP function tools.")
+        res = await session.call_tool(
+            name=tool.name,
+            arguments=tool_args,
+        )
+        if not res:
+            return
+        yield res
+
+
+class MainAgentHooks(BaseAgentRunHooks[AgentContextWrapper]):
+    async def on_agent_done(self, run_context, llm_response):
+        # 执行事件钩子
+        await call_event_hook(
+            run_context.event, EventType.OnLLMResponseEvent, llm_response
+        )
+
+
+MAIN_AGENT_HOOKS = MainAgentHooks()
+
+
+async def run_agent(
+    agent_runner: AgentRunner, max_step: int = 30, show_tool_use: bool = True
+) -> AsyncGenerator[MessageChain, None]:
+    step_idx = 0
+    astr_event = agent_runner.run_context.event
+    while step_idx < max_step:
+        step_idx += 1
+        try:
+            async for resp in agent_runner.step():
+                if astr_event.is_stopped():
+                    return
+                if resp.type == "tool_call_result":
+                    msg_chain = resp.data["chain"]
+                    if msg_chain.type == "tool_direct_result":
+                        # tool_direct_result 用于标记 llm tool 需要直接发送给用户的内容
+                        resp.data["chain"].type = "tool_call_result"
+                        await astr_event.send(resp.data["chain"])
+                        continue
+                    # 对于其他情况，暂时先不处理
+                    continue
+                elif resp.type == "tool_call":
+                    if agent_runner.streaming:
+                        # 用来标记流式响应需要分节
+                        yield MessageChain(chain=[], type="break")
+                    if show_tool_use or astr_event.get_platform_name() == "webchat":
+                        resp.data["chain"].type = "tool_call"
+                        await astr_event.send(resp.data["chain"])
+                    continue
+
+                if not agent_runner.streaming:
+                    content_typ = (
+                        ResultContentType.LLM_RESULT
+                        if resp.type == "llm_result"
+                        else ResultContentType.GENERAL_RESULT
+                    )
+                    astr_event.set_result(
+                        MessageEventResult(
+                            chain=resp.data["chain"].chain,
+                            result_content_type=content_typ,
+                        )
+                    )
+                    yield
+                    astr_event.clear_result()
+                else:
+                    if resp.type == "streaming_delta":
+                        yield resp.data["chain"]  # MessageChain
+            if agent_runner.done():
+                break
+
+        except Exception as e:
+            logger.error(traceback.format_exc())
+            err_msg = f"\n\nAstrBot 请求失败。\n错误类型: {type(e).__name__}\n错误信息: {str(e)}\n\n请在控制台查看和分享错误详情。\n"
+            if agent_runner.streaming:
+                yield MessageChain().message(err_msg)
+            else:
+                astr_event.set_result(MessageEventResult().message(err_msg))
+            return
+
+
+class LLMRequestSubStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.ctx = ctx
+        conf = ctx.astrbot_config
+        settings = conf["provider_settings"]
+        self.bot_wake_prefixs: list[str] = conf["wake_prefix"]  # list
+        self.provider_wake_prefix: str = settings["wake_prefix"]  # str
+        self.max_context_length = settings["max_context_length"]  # int
+        self.dequeue_context_length: int = min(
+            max(1, settings["dequeue_context_length"]),
+            self.max_context_length - 1,
+        )
+        self.streaming_response: bool = settings["streaming_response"]
+        self.max_step: int = settings.get("max_agent_step", 30)
+        if isinstance(self.max_step, bool):  # workaround: #2622
+            self.max_step = 30
+        self.show_tool_use: bool = settings.get("show_tool_use_status", True)
+
+        for bwp in self.bot_wake_prefixs:
+            if self.provider_wake_prefix.startswith(bwp):
+                logger.info(
+                    f"识别 LLM 聊天额外唤醒前缀 {self.provider_wake_prefix} 以机器人唤醒前缀 {bwp} 开头，已自动去除。"
+                )
+                self.provider_wake_prefix = self.provider_wake_prefix[len(bwp) :]
+
+        self.conv_manager = ctx.plugin_manager.context.conversation_manager
+
+    def _select_provider(self, event: AstrMessageEvent) -> Provider | None:
+        """选择使用的 LLM 提供商"""
+        sel_provider = event.get_extra("selected_provider")
+        _ctx = self.ctx.plugin_manager.context
+        if sel_provider and isinstance(sel_provider, str):
+            provider = _ctx.get_provider_by_id(sel_provider)
+            if not provider:
+                logger.error(f"未找到指定的提供商: {sel_provider}。")
+            return provider
+
+        return _ctx.get_using_provider(umo=event.unified_msg_origin)
+
+    async def _get_session_conv(self, event: AstrMessageEvent) -> Conversation:
+        umo = event.unified_msg_origin
+        conv_mgr = self.conv_manager
+
+        # 获取对话上下文
+        cid = await conv_mgr.get_curr_conversation_id(umo)
+        if not cid:
+            cid = await conv_mgr.new_conversation(umo, event.get_platform_id())
+        conversation = await conv_mgr.get_conversation(umo, cid)
+        if not conversation:
+            cid = await conv_mgr.new_conversation(umo, event.get_platform_id())
+            conversation = await conv_mgr.get_conversation(umo, cid)
+        if not conversation:
+            raise RuntimeError("无法创建新的对话。")
+        return conversation
+
+    async def process(
+        self, event: AstrMessageEvent, _nested: bool = False
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        req: ProviderRequest | None = None
+
+        if not self.ctx.astrbot_config["provider_settings"]["enable"]:
+            logger.debug("未启用 LLM 能力，跳过处理。")
+            return
+
+        # 检查会话级别的LLM启停状态
+        if not SessionServiceManager.should_process_llm_request(event):
+            logger.debug(f"会话 {event.unified_msg_origin} 禁用了 LLM，跳过处理。")
+            return
+
+        provider = self._select_provider(event)
+        if provider is None:
+            return
+
+        if event.get_extra("provider_request"):
+            req = event.get_extra("provider_request")
+            assert isinstance(req, ProviderRequest), (
+                "provider_request 必须是 ProviderRequest 类型。"
+            )
+
+            if req.conversation:
+                req.contexts = json.loads(req.conversation.history)
+
+        else:
+            req = ProviderRequest(prompt="", image_urls=[])
+            if sel_model := event.get_extra("selected_model"):
+                req.model = sel_model
+            if self.provider_wake_prefix:
+                if not event.message_str.startswith(self.provider_wake_prefix):
+                    return
+            req.prompt = event.message_str[len(self.provider_wake_prefix) :]
+            # func_tool selection 现在已经转移到 packages/astrbot 插件中进行选择。
+            # req.func_tool = self.ctx.plugin_manager.context.get_llm_tool_manager()
+            for comp in event.message_obj.message:
+                if isinstance(comp, Image):
+                    image_path = await comp.convert_to_file_path()
+                    req.image_urls.append(image_path)
+
+            conversation = await self._get_session_conv(event)
+            req.conversation = conversation
+            req.contexts = json.loads(conversation.history)
+
+            event.set_extra("provider_request", req)
+
+        if not req.prompt and not req.image_urls:
+            return
+
+        # 执行请求 LLM 前事件钩子。
+        if await call_event_hook(event, EventType.OnLLMRequestEvent, req):
+            return
+
+        if isinstance(req.contexts, str):
+            req.contexts = json.loads(req.contexts)
+
+        # max context length
+        if (
+            self.max_context_length != -1  # -1 为不限制
+            and len(req.contexts) // 2 > self.max_context_length
+        ):
+            logger.debug("上下文长度超过限制，将截断。")
+            req.contexts = req.contexts[
+                -(self.max_context_length - self.dequeue_context_length + 1) * 2 :
+            ]
+            # 找到第一个role 为 user 的索引，确保上下文格式正确
+            index = next(
+                (
+                    i
+                    for i, item in enumerate(req.contexts)
+                    if item.get("role") == "user"
+                ),
+                None,
+            )
+            if index is not None and index > 0:
+                req.contexts = req.contexts[index:]
+
+        # session_id
+        if not req.session_id:
+            req.session_id = event.unified_msg_origin
+
+        # fix messages
+        req.contexts = self.fix_messages(req.contexts)
+
+        # check provider modalities
+        # 如果提供商不支持图像/工具使用，但请求中包含图像/工具列表，则清空。图片转述等的检测和调用发生在这之前，因此这里可以这样处理。
+        if req.image_urls:
+            provider_cfg = provider.provider_config.get("modalities", ["image"])
+            if "image" not in provider_cfg:
+                logger.debug(f"用户设置提供商 {provider} 不支持图像，清空图像列表。")
+                req.image_urls = []
+        if req.func_tool:
+            provider_cfg = provider.provider_config.get("modalities", ["tool_use"])
+            # 如果模型不支持工具使用，但请求中包含工具列表，则清空。
+            if "tool_use" not in provider_cfg:
+                logger.debug(
+                    f"用户设置提供商 {provider} 不支持工具使用，清空工具列表。"
+                )
+                req.func_tool = None
+        # 插件可用性设置
+        if event.plugins_name is not None and req.func_tool:
+            new_tool_set = ToolSet()
+            for tool in req.func_tool.tools:
+                mp = tool.handler_module_path
+                if not mp:
+                    continue
+                plugin = star_map.get(mp)
+                if not plugin:
+                    continue
+                if plugin.name in event.plugins_name or plugin.reserved:
+                    new_tool_set.add_tool(tool)
+            req.func_tool = new_tool_set
+
+        # run agent
+        agent_runner = AgentRunner()
+        logger.debug(
+            f"handle provider[id: {provider.provider_config['id']}] request: {req}"
+        )
+        astr_agent_ctx = AstrAgentContext(
+            provider=provider,
+            first_provider_request=req,
+            curr_provider_request=req,
+            streaming=self.streaming_response,
+        )
+        await agent_runner.reset(
+            provider=provider,
+            request=req,
+            run_context=AgentContextWrapper(context=astr_agent_ctx, event=event),
+            tool_executor=FunctionToolExecutor(),
+            agent_hooks=MAIN_AGENT_HOOKS,
+            streaming=self.streaming_response,
+        )
+
+        if self.streaming_response:
+            # 流式响应
+            event.set_result(
+                MessageEventResult()
+                .set_result_content_type(ResultContentType.STREAMING_RESULT)
+                .set_async_stream(
+                    run_agent(agent_runner, self.max_step, self.show_tool_use)
+                )
+            )
+            yield
+            if agent_runner.done():
+                if final_llm_resp := agent_runner.get_final_llm_resp():
+                    if final_llm_resp.completion_text:
+                        chain = (
+                            MessageChain().message(final_llm_resp.completion_text).chain
+                        )
+                    else:
+                        chain = final_llm_resp.result_chain.chain
+                    event.set_result(
+                        MessageEventResult(
+                            chain=chain,
+                            result_content_type=ResultContentType.STREAMING_FINISH,
+                        )
+                    )
+        else:
+            async for _ in run_agent(agent_runner, self.max_step, self.show_tool_use):
+                yield
+
+        await self._save_to_history(event, req, agent_runner.get_final_llm_resp())
+
+        # 异步处理 WebChat 特殊情况
+        if event.get_platform_name() == "webchat":
+            asyncio.create_task(self._handle_webchat(event, req, provider))
+
+        asyncio.create_task(
+            Metric.upload(
+                llm_tick=1,
+                model_name=agent_runner.provider.get_model(),
+                provider_type=agent_runner.provider.meta().type,
+            )
+        )
+
+    async def _handle_webchat(
+        self, event: AstrMessageEvent, req: ProviderRequest, prov: Provider
+    ):
+        """处理 WebChat 平台的特殊情况，包括第一次 LLM 对话时总结对话内容生成 title"""
+        conversation = await self.conv_manager.get_conversation(
+            event.unified_msg_origin, req.conversation.cid
+        )
+        if conversation and not req.conversation.title:
+            messages = json.loads(conversation.history)
+            latest_pair = messages[-2:]
+            if not latest_pair:
+                return
+            content = latest_pair[0].get("content", "")
+            if isinstance(content, list):
+                # 多模态
+                text_parts = []
+                for item in content:
+                    if isinstance(item, dict):
+                        if item.get("type") == "text":
+                            text_parts.append(item.get("text", ""))
+                        elif item.get("type") == "image":
+                            text_parts.append("[图片]")
+                    elif isinstance(item, str):
+                        text_parts.append(item)
+                cleaned_text = "User: " + " ".join(text_parts).strip()
+            elif isinstance(content, str):
+                cleaned_text = "User: " + content.strip()
+            else:
+                return
+            logger.debug(f"WebChat 对话标题生成请求，清理后的文本: {cleaned_text}")
+            llm_resp = await prov.text_chat(
+                system_prompt="You are expert in summarizing user's query.",
+                prompt=(
+                    f"Please summarize the following query of user:\n"
+                    f"{cleaned_text}\n"
+                    "Only output the summary within 10 words, DO NOT INCLUDE any other text."
+                    "You must use the same language as the user."
+                    "If you think the dialog is too short to summarize, only output a special mark: `<None>`"
+                ),
+            )
+            if llm_resp and llm_resp.completion_text:
+                logger.debug(
+                    f"WebChat 对话标题生成响应: {llm_resp.completion_text.strip()}"
+                )
+                title = llm_resp.completion_text.strip()
+                if not title or "<None>" in title:
+                    return
+                await self.conv_manager.update_conversation_title(
+                    unified_msg_origin=event.unified_msg_origin,
+                    title=title,
+                    conversation_id=req.conversation.cid,
+                )
+
+    async def _save_to_history(
+        self,
+        event: AstrMessageEvent,
+        req: ProviderRequest,
+        llm_response: LLMResponse | None,
+    ):
+        if (
+            not req
+            or not req.conversation
+            or not llm_response
+            or llm_response.role != "assistant"
+        ):
+            return
+
+        if not llm_response.completion_text and not req.tool_calls_result:
+            logger.debug("LLM 响应为空，不保存记录。")
+            return
+
+        # 历史上下文
+        messages = copy.deepcopy(req.contexts)
+        # 这一轮对话请求的用户输入
+        messages.append(await req.assemble_context())
+        # 这一轮对话的 LLM 响应
+        if req.tool_calls_result:
+            if not isinstance(req.tool_calls_result, list):
+                messages.extend(req.tool_calls_result.to_openai_messages())
+            elif isinstance(req.tool_calls_result, list):
+                for tcr in req.tool_calls_result:
+                    messages.extend(tcr.to_openai_messages())
+        messages.append({"role": "assistant", "content": llm_response.completion_text})
+        messages = list(filter(lambda item: "_no_save" not in item, messages))
+        await self.conv_manager.update_conversation(
+            event.unified_msg_origin, req.conversation.cid, history=messages
+        )
+
+    def fix_messages(self, messages: list[dict]) -> list[dict]:
+        """验证并且修复上下文"""
+        fixed_messages = []
+        for message in messages:
+            if message.get("role") == "tool":
+                # tool block 前面必须要有 user 和 assistant block
+                if len(fixed_messages) < 2:
+                    # 这种情况可能是上下文被截断导致的
+                    # 我们直接将之前的上下文都清空
+                    fixed_messages = []
+                else:
+                    fixed_messages.append(message)
+            else:
+                fixed_messages.append(message)
+        return fixed_messages

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

@@ -0,0 +1,59 @@
+"""
+本地 Agent 模式的 AstrBot 插件调用 Stage
+"""
+
+from ...context import PipelineContext, call_handler
+from ..stage import Stage
+from typing import Dict, Any, List, AsyncGenerator, Union
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.message.message_event_result import MessageEventResult
+from astrbot.core import logger
+from astrbot.core.star.star_handler import StarHandlerMetadata
+from astrbot.core.star.star import star_map
+import traceback
+
+
+class StarRequestSubStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.curr_provider = ctx.plugin_manager.context.get_using_provider()
+        self.prompt_prefix = ctx.astrbot_config["provider_settings"]["prompt_prefix"]
+        self.identifier = ctx.astrbot_config["provider_settings"]["identifier"]
+        self.ctx = ctx
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        activated_handlers: List[StarHandlerMetadata] = event.get_extra(
+            "activated_handlers"
+        )
+        handlers_parsed_params: Dict[str, Dict[str, Any]] = event.get_extra(
+            "handlers_parsed_params"
+        )
+        if not handlers_parsed_params:
+            handlers_parsed_params = {}
+
+        for handler in activated_handlers:
+            params = handlers_parsed_params.get(handler.handler_full_name, {})
+            md = star_map.get(handler.handler_module_path)
+            if not md:
+                logger.warning(
+                    f"Cannot find plugin for given handler module path: {handler.handler_module_path}"
+                )
+                continue
+            logger.debug(f"plugin -> {md.name} - {handler.handler_name}")
+            try:
+                wrapper = call_handler(event, handler.handler, **params)
+                async for ret in wrapper:
+                    yield ret
+                event.clear_result()  # 清除上一个 handler 的结果
+            except Exception as e:
+                logger.error(traceback.format_exc())
+                logger.error(f"Star {handler.handler_full_name} handle error: {e}")
+
+                if event.is_at_or_wake_command:
+                    ret = f":(\n\n在调用插件 {md.name} 的处理函数 {handler.handler_name} 时出现异常：{e}"
+                    event.set_result(MessageEventResult().message(ret))
+                    yield
+                    event.clear_result()
+
+                event.stop_event()

astrbot/core/pipeline/process_stage/stage.py

@@ -0,0 +1,68 @@
+from typing import List, Union, AsyncGenerator
+from ..stage import Stage, register_stage
+from ..context import PipelineContext
+from .method.llm_request import LLMRequestSubStage
+from .method.star_request import StarRequestSubStage
+from astrbot.core.platform.astr_message_event import AstrMessageEvent
+from astrbot.core.star.star_handler import StarHandlerMetadata
+from astrbot.core.provider.entities import ProviderRequest
+from astrbot.core import logger
+
+
+@register_stage
+class ProcessStage(Stage):
+    async def initialize(self, ctx: PipelineContext) -> None:
+        self.ctx = ctx
+        self.config = ctx.astrbot_config
+        self.plugin_manager = ctx.plugin_manager
+        self.llm_request_sub_stage = LLMRequestSubStage()
+        await self.llm_request_sub_stage.initialize(ctx)
+
+        self.star_request_sub_stage = StarRequestSubStage()
+        await self.star_request_sub_stage.initialize(ctx)
+
+    async def process(
+        self, event: AstrMessageEvent
+    ) -> Union[None, AsyncGenerator[None, None]]:
+        """处理事件"""
+        activated_handlers: List[StarHandlerMetadata] = event.get_extra(
+            "activated_handlers"
+        )
+        # 有插件 Handler 被激活
+        if activated_handlers:
+            async for resp in self.star_request_sub_stage.process(event):
+                # 生成器返回值处理
+                if isinstance(resp, ProviderRequest):
+                    # Handler 的 LLM 请求
+                    event.set_extra("provider_request", resp)
+                    _t = False
+                    async for _ in self.llm_request_sub_stage.process(event):
+                        _t = True
+                        yield
+                    if not _t:
+                        yield
+                else:
+                    yield
+
+        # 调用 LLM 相关请求
+        if not self.ctx.astrbot_config["provider_settings"].get("enable", True):
+            return
+
+        if (
+            not event._has_send_oper
+            and event.is_at_or_wake_command
+            and not event.call_llm
+        ):
+            # 是否有过发送操作 and 是否是被 @ 或者通过唤醒前缀
+            if (
+                event.get_result() and not event.get_result().is_stopped()
+            ) or not event.get_result():
+                # 事件没有终止传播
+                provider = self.ctx.plugin_manager.context.get_using_provider()
+
+                if not provider:
+                    logger.info("未找到可用的 LLM 提供商，请先前往配置服务提供商。")
+                    return
+
+                async for _ in self.llm_request_sub_stage.process(event):
+                    yield