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Author SHA1 Message Date
Soulter
6f53e8d805 docs: revise README.md for clarity and feature updates
Updated project description and added details about deployment and features.
2026-02-03 20:23:40 +08:00
1263 changed files with 35422 additions and 231792 deletions

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@@ -17,6 +17,7 @@ ENV/
.conda/
dashboard/
data/
changelogs/
tests/
.ruff_cache/
.astrbot

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

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@@ -3,8 +3,8 @@
### Modifications / 改动点
<!--Please summarize your changes: What core files were modified? What functionality was implemented?-->
<!--请总结你的改动:哪些核心文件被修改了?实现了什么功能?-->
<!--Please summarize your changes: What core files were modified? What functionality was implemented?-->
- [x] This is NOT a breaking change. / 这不是一个破坏性变更。
<!-- If your changes is a breaking change, please uncheck the checkbox above -->
@@ -21,14 +21,7 @@
<!--If merged, your code will serve tens of thousands of users! Please double-check the following items before submitting.-->
<!--如果分支被合并,您的代码将服务于数万名用户!在提交前,请核查一下几点内容。-->
- [ ] 😊 If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
/ 如果 PR 中有新加入的功能,已经通过 Issue / 邮件等方式和作者讨论过。
- [ ] 👀 My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
/ 我的更改经过了良好的测试,**并已在上方提供了“验证步骤”和“运行截图”**。
- [ ] 🤓 I have ensured that no new dependencies are introduced, OR if new dependencies are introduced, they have been added to the appropriate locations in `requirements.txt` and `pyproject.toml`.
/ 我确保没有引入新依赖库,或者引入了新依赖库的同时将其添加到 `requirements.txt``pyproject.toml` 文件相应位置。
- [ ] 😮 My changes do not introduce malicious code.
/ 我的更改没有引入恶意代码。
- [ ] 😊 如果 PR 中有新加入的功能,已经通过 Issue / 邮件等方式和作者讨论过。/ If there are new features added in the PR, I have discussed it with the authors through issues/emails, etc.
- [ ] 👀 我的更改经过了良好的测试,**并已在上方提供了“验证步骤”和“运行截图”**。/ My changes have been well-tested, **and "Verification Steps" and "Screenshots" have been provided above**.
- [ ] 🤓 我确保没有引入新依赖库,或者引入了新依赖库的同时将其添加到了 `requirements.txt``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.

92
.github/workflows/auto_release.yml vendored Normal file
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@@ -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@v6
- 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@v6
- 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

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

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@@ -17,7 +17,7 @@ jobs:
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.12'
python-version: '3.10'
- name: Install UV
run: pip install uv

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@@ -37,10 +37,9 @@ jobs:
mkdir -p data/temp
export TESTING=true
export ZHIPU_API_KEY=${{ secrets.OPENAI_API_KEY }}
pytest --cov=astrbot -v -o log_cli=true -o log_level=DEBUG
pytest --cov=. -v -o log_cli=true -o log_level=DEBUG
- name: Upload results to Codecov
if: github.repository == 'AstrBotDevs/AstrBot'
uses: codecov/codecov-action@v7
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}

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@@ -8,28 +8,22 @@ on:
jobs:
build:
if: github.repository == 'AstrBotDevs/AstrBot'
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v6
- name: Setup pnpm
uses: pnpm/action-setup@v6.0.9
with:
version: 10.28.2
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: '24.13.0'
cache: "pnpm"
cache-dependency-path: dashboard/pnpm-lock.yaml
node-version: 'latest'
- name: Install and Build
working-directory: dashboard
- name: npm install, build
run: |
pnpm install --frozen-lockfile
cd dashboard
npm install pnpm -g
pnpm install
pnpm i --save-dev @types/markdown-it
pnpm run build
- name: Inject Commit SHA
@@ -42,7 +36,7 @@ jobs:
zip -r dist.zip dist
- name: Archive production artifacts
uses: actions/upload-artifact@v7
uses: actions/upload-artifact@v6
with:
name: dist-without-markdown
path: |
@@ -51,11 +45,11 @@ jobs:
- name: Create GitHub Release
if: github.event_name == 'push'
uses: ncipollo/release-action@v1.21.0
uses: ncipollo/release-action@v1
with:
tag: release-${{ github.sha }}
owner: AstrBotDevs
repo: astrbot-release-harbour
body: "Automated release from commit ${{ github.sha }}"
token: ${{ secrets.ASTRBOT_HARBOUR_TOKEN }}
artifacts: "dashboard/dist.zip"
artifacts: "dashboard/dist.zip"

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@@ -11,11 +11,11 @@ on:
jobs:
build-nightly-image:
if: github.repository == 'AstrBotDevs/AstrBot' && github.event_name == 'schedule'
if: github.event_name == 'schedule'
runs-on: ubuntu-latest
env:
DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
GHCR_OWNER: astrbotdevs
GHCR_OWNER: soulter
HAS_GHCR_TOKEN: ${{ secrets.GHCR_GITHUB_TOKEN != '' }}
steps:
@@ -64,20 +64,20 @@ jobs:
echo "build_date=$build_date" >> $GITHUB_OUTPUT
- name: Set QEMU
uses: docker/setup-qemu-action@v4.1.0
uses: docker/setup-qemu-action@v3
- name: Set Docker Buildx
uses: docker/setup-buildx-action@v4.1.0
uses: docker/setup-buildx-action@v3
- name: Log in to DockerHub
uses: docker/login-action@v4.2.0
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_HUB_USERNAME }}
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
- name: Login to GitHub Container Registry
if: env.HAS_GHCR_TOKEN == 'true'
uses: docker/login-action@v4.2.0
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ env.GHCR_OWNER }}
@@ -98,7 +98,7 @@ jobs:
echo "EOF" >> $GITHUB_OUTPUT
- name: Build and Push Nightly Image
uses: docker/build-push-action@v7.2.0
uses: docker/build-push-action@v6
with:
context: .
platforms: linux/amd64,linux/arm64
@@ -109,11 +109,11 @@ jobs:
run: echo "Test Docker image has been built and pushed successfully"
build-release-image:
if: github.repository == 'AstrBotDevs/AstrBot' && (github.event_name == 'workflow_dispatch' || (github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v')))
if: github.event_name == 'workflow_dispatch' || (github.event_name == 'push' && startsWith(github.ref, 'refs/tags/v'))
runs-on: ubuntu-latest
env:
DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
GHCR_OWNER: astrbotdevs
GHCR_OWNER: soulter
HAS_GHCR_TOKEN: ${{ secrets.GHCR_GITHUB_TOKEN != '' }}
steps:
@@ -163,27 +163,27 @@ jobs:
cp -r dashboard/dist data/
- name: Set QEMU
uses: docker/setup-qemu-action@v4.1.0
uses: docker/setup-qemu-action@v3
- name: Set Docker Buildx
uses: docker/setup-buildx-action@v4.1.0
uses: docker/setup-buildx-action@v3
- name: Log in to DockerHub
uses: docker/login-action@v4.2.0
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKER_HUB_USERNAME }}
password: ${{ secrets.DOCKER_HUB_PASSWORD }}
- name: Login to GitHub Container Registry
if: env.HAS_GHCR_TOKEN == 'true'
uses: docker/login-action@v4.2.0
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ env.GHCR_OWNER }}
password: ${{ secrets.GHCR_GITHUB_TOKEN }}
- name: Build and Push Release Image
uses: docker/build-push-action@v7.2.0
uses: docker/build-push-action@v6
with:
context: .
platforms: linux/amd64,linux/arm64

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

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

View File

@@ -13,23 +13,10 @@ on:
jobs:
smoke-test:
name: Smoke test (${{ matrix.os }}, Python ${{ matrix.python-version }})
runs-on: ${{ matrix.os }}
name: Run smoke tests
runs-on: ubuntu-latest
timeout-minutes: 10
strategy:
fail-fast: false
matrix:
os:
- ubuntu-latest
- macos-latest
- windows-latest
python-version:
- '3.10'
- '3.11'
- '3.12'
- '3.13'
- '3.14'
steps:
- name: Checkout
uses: actions/checkout@v6
@@ -39,21 +26,33 @@ jobs:
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python-version }}
cache: 'pip'
cache-dependency-path: requirements.txt
- name: Install uv
python-version: '3.12'
- name: Install UV package manager
run: |
python -m pip install --upgrade pip
python -m pip install uv
pip install uv
- name: Install dependencies
run: |
uv pip install --system -r requirements.txt
uv sync
timeout-minutes: 15
- name: Run smoke tests
run: |
python scripts/smoke_startup_check.py
uv run main.py &
APP_PID=$!
echo "Waiting for application to start..."
for i in {1..60}; do
if curl -f http://localhost:6185 > /dev/null 2>&1; then
echo "Application started successfully!"
kill $APP_PID
exit 0
fi
sleep 1
done
echo "Application failed to start within 30 seconds"
kill $APP_PID 2>/dev/null || true
exit 1
timeout-minutes: 2

View File

@@ -18,7 +18,6 @@ on:
jobs:
stale:
if: github.repository == 'AstrBotDevs/AstrBot'
runs-on: ubuntu-latest
permissions:
issues: write

View File

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

View File

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

14
.gitignore vendored
View File

@@ -32,13 +32,10 @@ tests/astrbot_plugin_openai
# Dashboard
dashboard/node_modules/
dashboard/dist/
.pnpm-store/
package-lock.json
package.json
yarn.lock
# Bundled dashboard dist (generated by hatch_build.py during pip wheel build)
astrbot/dashboard/dist/
# Operating System
**/.DS_Store
.DS_Store
@@ -56,11 +53,4 @@ IFLOW.md
# genie_tts data
CharacterModels/
GenieData/
.agent/
.codex/
.opencode/
.kilocode/
.worktrees/
dashboard/bun.lock
GenieData/

View File

@@ -1 +1 @@
3.12
3.10

100
AGENTS.md
View File

@@ -19,115 +19,15 @@ pnpm dev
Runs on `http://localhost:3000` by default.
## Pre-commit setup
AstrBot uses [pre-commit](https://pre-commit.com/) hooks to automatically format and lint Python code before each commit. The hooks run `ruff check`, `ruff format`, and `pyupgrade` (see [`.pre-commit-config.yaml`](.pre-commit-config.yaml) for details).
To set it up:
```bash
pip install pre-commit
pre-commit install
```
After installation, the hooks will run automatically on `git commit`. You can also run them manually at any time:
```bash
ruff format .
ruff check .
```
> **Note:** If you use VSCode, install the `Ruff` extension for real-time formatting and linting in the editor.
## Dev environment tips
### Basic
1. When modifying the WebUI, be sure to maintain componentization and clean code. Avoid duplicate code.
2. Do not add any report files such as xxx_SUMMARY.md.
3. After finishing, use `ruff format .` and `ruff check .` to format and check the code.
4. When committing, ensure to use conventional commits messages, such as `feat: add new agent for data analysis` or `fix: resolve bug in provider manager`.
5. Use English for all new comments.
6. For path handling, use `pathlib.Path` instead of string paths, and use `astrbot.core.utils.path_utils` to get the AstrBot data and temp directory.
7. When backend API routes, request/response schemas, or OpenAPI definitions change, regenerate the frontend API client by running `cd dashboard && pnpm generate:api`.
### KISS and First Principles
Follow the KISS principle and reason from first principles during development. Start by identifying the real problem, required behavior, and smallest useful change before adding code. Do not pile on features, configuration switches, abstractions, dependencies, or compatibility layers unless they directly solve the current problem and have clear evidence of need.
Prefer the simplest implementation that is correct, maintainable, and consistent with the existing codebase. If a broader design seems attractive, reduce it to the essential behavior needed now and leave optional expansion for a later, explicit requirement.
### No Unnecessary Helpers
Prioritize inline implementation over abstraction. Avoid over-engineering and do not create helper functions unless absolutely necessary.
1. **Inline-First Rule**: If a logic block can be implemented directly within the main function without breaking overall readability, **do not** extract it into a new helper function.
2. **Strict Justification for Helpers**: You may only create a separate helper function if it meets at least one of these criteria:
- **High Reuse**: The exact same logic is repeated across **3 or more** different locations.
- **Extreme Complexity**: Inlining the logic makes the main function too long (e.g., >50 lines) or severely derails the main execution flow.
3. **No Fragmentation**: Do not split continuous linear logic (e.g., a single API call, simple form validation, or one-time data formatting) into tiny functions just for the sake of "clean code."
4. **Keep Context Compact**: Handle edge cases, error catching, and logging directly inside the main function block instead of offloading them.
5. **Refactoring Constraint**: When modifying existing code, do not alter the current function structure or extract code into new helpers unless the existing code already violates the complexity or reuse rules above.
### Mandatory Google-Style Docstrings
* **Comment the complex**: Add clear comments to any non-obvious function, method, or parameter.
* **Google Format**: All docstrings must strictly use the Google format (`Args:`, `Returns:`, `Raises:`).
#### Example:
```py
def calculate_metrics(user_id: int, force_refresh: bool = False) -> dict:
"""Brief description of the function.
Args:
user_id: Description of the ID.
force_refresh: Description of the flag.
Returns:
Description of the returned dict.
Raises:
ValueError: Description of when this occurs.
"""
# Inline implementation here...
```
## PR instructions
1. Title format: use conventional commit messages
2. Use English to write PR title and descriptions.
## Release versions
Use a short-lived `release/*` branch for each release. The release branch is the stabilization area for version bumps, changelog updates, release-blocking fixes, and final validation only. Do not add unrelated features or broad refactors to a release branch.
Prepare a release from a clean worktree with:
```bash
uv run python scripts/prepare_release.py 4.25.0
```
The script updates `pyproject.toml`, creates `changelogs/v4.25.0.md`, runs the required Python checks, and prints the remaining steps. Use these flags when needed:
```bash
uv run python scripts/prepare_release.py 4.25.0 --generate-api-client
uv run python scripts/prepare_release.py 4.25.0 --dashboard-build
uv run python scripts/prepare_release.py 4.25.0 --commit --push
```
Open a PR from `release/4.25.0` to `master`. The PR title must use the conventional commit format, for example `chore: bump version to 4.25.0`. After the release PR is merged, create and push the tag from the updated `master` branch so the tag points to the exact code that was merged:
```bash
git checkout master
git pull --ff-only origin master
git tag v4.25.0
git push origin v4.25.0
```
For one-off release candidate branches, delete the release branch after the tag is pushed and verified. For maintained release lines, use a branch such as `release/4.25` and keep it until that line reaches EOL.
```bash
git branch -d release/4.25.0
git push origin --delete release/4.25.0
```

18
ASYNC_TASK_new.md Normal file
View File

@@ -0,0 +1,18 @@
我需要让 Agent 能够在未来提醒自己去做某些事情,这样 Agent 能够主动地去完成一些任务,而不是等用户主动来下达命令。
你需要实现一个 CronJob 系统,允许 Agent 创建未来任务,并且在未来的某个时间点自动触发这些任务的执行.
CronJob 系统分为 BasicCronJob 和 ActiveAgentCronJob 两种类型。前者只是简单的提供一个定时任务功能(给插件用),而后者则允许 Agent 主动地去完成一些任务。BasicCronJob 不必多说,就是定时执行某个函数。对于 ActiveAgentCronJobAgent 应该可以主动管理比如通过Tool来管理这些 CronJobs当添加的时候Agent 可以给 CronJob 捎一段文字以说明未来的自己需要做什么事情。比如说Agent 在听到用户 “每天早上都给我整理一份今日早报” 之后,应该可以创建 Cron Job并且自己写脚本来完成这个任务并且注册 cron job。Agent 给未来的自己捎去的信息应该只是呈现为一段文字,这样可以保持设计简约。当触发后, CronJobManager 会调用 MainAgent 的一轮循环MainAgent 通过上下文知道这是一个定时任务触发的循环,从而执行相应的操作。
此外,我还有一个需求,后台长任务。需要给当前的 FunctionTool 类增加一个属性is_background_task: bool = False插件可以通过这个属性来声明这是一个异步任务。这是为了解决一些 Tool 需要长时间运行的问题,比如 Deep Search tool 需要长时间搜索网页内容、Sub Agent 需要长时间运行来完成一个复杂任务。
基于上面的讨论,我觉得,应该:
1. 需要给当前的 FunctionTool 类增加一个属性is_background_task: bool = Falsetool runner 在执行这个 tool 的时候,如果发现是后台任务,就不等待结果返回,而是直接返回一个任务 ID 已经创建成功提示的结果tool runner 在后台继续执行这个任务。当任务完成之后,任务的结果回传给 MainAgent其实就是再执行一次 main agent loop但是上下文应该是最新的并且 MainAgent 此时应该有 send_message_to_user 的工具,通过这个工具可以选择是否主动通知用户任务完成的结果。
2. 增加一个 CronJobManager 类负责管理所有的定时任务。Agent 可以通过调用这个类的方法来创建、删除、修改定时任务。通过 cron expression 来定义触发条件。
3. CronJobManager 除了管理普通的定时任务(比如插件可能有一些自己的定时任务),还有一种特殊的任务类型,就是上面提到的主动型 Agent 任务。用户提需求MainAgent 选择性地调用 CronJobManager 的方法来创建这些任务并且在任务触发时CronJobManager 的回调就是执行 MainAgent 的一轮循环(需要加 send_message_to_user toolMainAgent 通过上下文知道这是一个定时任务触发的循环,从而执行相应的操作。
4. WebUI 需要增加 Cron Job 管理界面,用户可以在界面上查看、创建、修改、删除定时任务。对于主动型 Agent 任务,用户可以看到任务的描述、触发条件等信息。
5. 除此之外,现在的代码中已经有了 subagent 的管理。WebUI 可以创建 SubAgent但是还没写完。除了结合上面我说的之外你还需要将 SubAgent 与 Persona 结合起来——因为 Persona 是一个包含了 tool、skills、name、description 的完整体,所以 SubAgent 应该直接继承 Persona 的定义,而不是单独定义 SubAgent。SubAgent 本质上就是一个有特定角色和能力的 Persona多么美妙的设计啊
6. 为了实现大一统is_background_task = True 的时候,后台任务也挂到 CronJobManager 上去管理,只不过这个是立即触发的任务,不需要等到未来某个时间点才触发罢了。
我希望设计尽可能简单,但是强大。

View File

@@ -46,32 +46,6 @@ ruff check .
如果您使用 VSCode可以安装 `Ruff` 插件。
##### PR 功能完整性验证(推荐)
如果您希望在本地做一套接近 CI 的完整验证,可使用:
```bash
make pr-test-neo
```
该命令会执行:
- `uv sync --group dev`
- `ruff format --check .``ruff check .`
- Neo 相关关键测试
- `main.py` 启动 smoke test检测 `http://localhost:6185`
需要全量验证时可使用:
```bash
make pr-test-full
```
如果只想快速重复执行(跳过依赖同步和 dashboard 构建):
```bash
make pr-test-full-fast
```
## Contributing Guide
@@ -114,29 +88,3 @@ We use Ruff as our code formatter and static analysis tool. Before submitting yo
ruff format .
ruff check .
```
##### PR completeness checks (recommended)
To run a local validation flow close to CI, use:
```bash
make pr-test-neo
```
This command runs:
- `uv sync --group dev`
- `ruff format --check .` and `ruff check .`
- Neo-related critical tests
- a startup smoke test against `http://localhost:6185`
For full validation, use:
```bash
make pr-test-full
```
For faster repeated runs (skip dependency sync and dashboard build), use:
```bash
make pr-test-full-fast
```

View File

@@ -1,4 +1,4 @@
FROM python:3.12-slim
FROM python:3.11-slim
WORKDIR /AstrBot
COPY . /AstrBot/
@@ -12,22 +12,20 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
ca-certificates \
bash \
ffmpeg \
libavcodec-extra \
curl \
gnupg \
git \
ripgrep \
&& curl -fsSL https://deb.nodesource.com/setup_lts.x | bash - \
&& apt-get install -y --no-install-recommends nodejs \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
RUN apt-get update && apt-get install -y curl gnupg \
&& curl -fsSL https://deb.nodesource.com/setup_lts.x | bash - \
&& apt-get install -y nodejs
RUN python -m pip install uv \
&& echo "3.12" > .python-version \
&& uv lock \
&& uv export --format requirements.txt --output-file requirements.txt --frozen \
&& uv pip install -r requirements.txt --no-cache-dir --system \
&& uv pip install socksio uv pilk --no-cache-dir --system
&& echo "3.11" > .python-version
RUN uv pip install -r requirements.txt --no-cache-dir --system
RUN uv pip install socksio uv pilk --no-cache-dir --system
EXPOSE 6185

View File

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

View File

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

View File

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

View File

@@ -1,4 +1,4 @@
.PHONY: worktree worktree-add worktree-rm pr-test-neo pr-test-full pr-test-full-fast
.PHONY: worktree worktree-add worktree-rm
WORKTREE_DIR ?= ../astrbot_worktree
BRANCH ?= $(word 2,$(MAKECMDGOALS))
@@ -27,15 +27,6 @@ endif
echo "Worktree $(WORKTREE_DIR)/$(BRANCH) not found."; \
fi
pr-test-neo:
./scripts/pr_test_env.sh --profile neo
pr-test-full:
./scripts/pr_test_env.sh --profile full
pr-test-full-fast:
./scripts/pr_test_env.sh --profile full --skip-sync --no-dashboard
# Swallow extra args (branch/base) so make doesn't treat them as targets
%:
@true

313
README.md
View File

@@ -1,18 +1,16 @@
![astrbot-github-banner-v2-light-0405_副本](https://github.com/user-attachments/assets/36fb04e4-cc75-4454-bd8b-049d11aa86f9)
![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
<div align="center">
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
<br>
<div>
<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="FeaturedHelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
</div>
@@ -24,43 +22,42 @@
<img src="https://deepwiki.com/badge.svg" href="https://deepwiki.com/AstrBotDevs/AstrBot">
<a href="https://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjc1ODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?color=76bad9"/></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20plugins&label=Marketplace&cacheSeconds=3600">
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E4%B8%AA&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%9C%BA&cacheSeconds=3600">
<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
</div>
<br>
<a href="https://astrbot.app/">Documentation</a>
<a href="https://astrbot.app/">文档</a>
<a href="https://blog.astrbot.app/">Blog</a>
<a href="https://astrbot.featurebase.app/roadmap">Roadmap</a>
<a href="https://github.com/AstrBotDevs/AstrBot/issues">Issue Tracker</a>
<a href="mailto:community@astrbot.app">Email Support</a>
<a href="https://astrbot.featurebase.app/roadmap">路线图</a>
<a href="https://github.com/AstrBotDevs/AstrBot/issues">问题提交</a>
</div>
AstrBot is an open-source all-in-one Agent chatbot platform that integrates with mainstream instant messaging apps. It provides reliable and scalable conversational AI infrastructure for individuals, developers, and teams. Whether you're building a personal AI companion, intelligent customer service, automation assistant, or enterprise knowledge base, AstrBot enables you to quickly build production-ready AI applications within your IM platform workflows.
AstrBot 是一个开源的一站式 Agentic 个人和群聊助手,可在 QQ、Telegram、企业微信、飞书、钉钉、Slack、等数十款主流即时通讯软件上部署此外还内置类似 OpenWebUI 的轻量化 ChatUI为个人、开发者和团队打造可靠、可扩展的对话式智能基础设施。无论是个人 AI 伙伴、智能客服、自动化助手还是企业知识库AstrBot 都能在你的即时通讯软件平台的工作流中快速构建 AI 应用。
![screenshot_1 5x_postspark_2026-02-27_22-37-45](https://github.com/user-attachments/assets/f17cdb90-52d7-4773-be2e-ff64b566af6b)
![521771166-00782c4c-4437-4d97-aabc-605e3738da5c (1)](https://github.com/user-attachments/assets/61e7b505-f7db-41aa-a75f-4ef8f079b8ba)
## Key Features
## 主要功能
1. 💯 Free & Open Source.
2. ✨ AI LLM Conversations, Multimodal, Agent, MCP, Skills, Knowledge Base, Persona Settings, Auto Context Compression.
3. 🤖 Supports integration with Dify, Alibaba Cloud Bailian, Coze, and other agent platforms.
4. 🌐 Multi-Platform: QQ, WeChat Work, Feishu, DingTalk, WeChat Official Accounts, Telegram, Slack, and [more](#supported-messaging-platforms).
5. 📦 Plugin Extensions with 1000+ plugins available for one-click installation.
6. 🛡️ [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) for isolated, safe execution of code, shell calls, and session-level resource reuse.
7. 💻 WebUI Support.
8. 🌈 Web ChatUI Support with built-in agent sandbox and web search.
9. 🌐 Internationalization (i18n) Support.
1. 💯 免费 & 开源。
1. ✨ AI 大模型对话,多模态,AgentMCPSkills,知识库,人格设定,自动压缩对话。
2. 🤖 支持接入 Dify、阿里云百炼、Coze 等智能体平台。
2. 🌐 多平台,支持 QQ、企业微信、飞书、钉钉、微信公众号、TelegramSlack 以及[更多](#支持的消息平台)
3. 📦 插件扩展,已有近 800 个插件可一键安装。
5. 🛡️ [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) 隔离化环境,安全地执行任何代码、调用 Shell、会话级资源复用。
6. 💻 WebUI 支持。
7. 🌈 Web ChatUI 支持ChatUI 内置代理沙盒、网页搜索等。
8. 🌐 国际化i18n支持。
<br>
<table align="center">
<tr align="center">
<th>💙 Role-playing & Emotional Companionship</th>
<th>✨ Proactive Agent</th>
<th>🚀 General Agentic Capabilities</th>
<th>🧩 1000+ Community Plugins</th>
<th>💙 角色扮演 & 情感陪伴</th>
<th>✨ 主动式 Agent</th>
<th>🚀 通用 Agentic 能力</th>
<th>🧩 900+ 社区插件</th>
</tr>
<tr>
<td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
@@ -70,158 +67,151 @@ AstrBot is an open-source all-in-one Agent chatbot platform that integrates with
</tr>
</table>
## Quick Start
陪伴与能力**从来不应该是**对立面。我们希望创造的是一个既能理解情绪、给予陪伴,也能可靠完成工作的机器人——致敬[ATRI](https://zh.wikipedia.org/zh-cn/ATRI_-My_Dear_Moments-)。
### One-Click Deployment
## 快速开始
For users who want to quickly experience AstrBot, are familiar with command-line usage, and can install a `uv` environment on their own, we recommend the `uv` one-click deployment method ⚡️:
#### Docker 部署(推荐 🥳)
推荐使用 Docker / Docker Compose 方式部署 AstrBot。
请参阅官方文档 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) 。
#### uv 部署
```bash
uv tool install astrbot --python 3.12
astrbot init # Only execute this command for the first time to initialize the environment
astrbot run
uvx astrbot
```
> Requires [uv](https://docs.astral.sh/uv/) to be installed.
> AstrBot requires Python 3.12 or later. The `--python 3.12` option ensures that `uv` creates the tool environment with Python 3.12.
#### 宝塔面板部署
> [!NOTE]
> For macOS users: due to macOS security checks, the first run of the `astrbot` command may take longer (about 10-20s).
AstrBot 与宝塔面板合作,已上架至宝塔面板。
Update `astrbot`:
请参阅官方文档 [宝塔面板部署](https://astrbot.app/deploy/astrbot/btpanel.html) 。
```bash
uv tool upgrade astrbot --python 3.12
```
#### 1Panel 部署
> [!WARNING]
> AstrBot deployed via `uv` **does not support upgrading through the WebUI**. To update, please run the command above from the command line.
AstrBot 已由 1Panel 官方上架至 1Panel 面板。
### Docker Deployment
请参阅官方文档 [1Panel 部署](https://astrbot.app/deploy/astrbot/1panel.html) 。
For users familiar with containers and looking for a more stable, production-ready deployment method, we recommend deploying AstrBot with Docker / Docker Compose.
#### 在 雨云 上部署
Please refer to the official documentation: [Deploy AstrBot with Docker](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
### Deploy on RainYun
For users who want one-click deployment and do not want to manage servers themselves, we recommend RainYun's one-click cloud deployment service ☁️:
AstrBot 已由雨云官方上架至云应用平台,可一键部署。
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### Desktop Application Deployment
#### 在 Replit 上部署
For users who want to use AstrBot on desktop and mainly use ChatUI, we recommend AstrBot App.
Visit [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) to download and install; this method is designed for desktop usage and is not recommended for server scenarios.
### Launcher Deployment
For desktop users who also want fast deployment and isolated multi-instance usage, we recommend AstrBot Launcher.
Visit [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) to download and install.
### Deploy on Replit
Replit deployment is maintained by the community and is suitable for online demos and lightweight trials.
社区贡献的部署方式。
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
#### Windows 一键安装器部署
AUR deployment targets Arch Linux users who prefer installing AstrBot through the system package workflow.
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) 。
Run the command below to install `astrbot-git`, then start AstrBot in your local environment.
#### 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
yay -S astrbot-git
pip install uv
```
**More deployment methods**
通过 Git Clone 安装 AstrBot
If you need panel-based management or deeper customization, see [BT-Panel Deployment](https://docs.astrbot.app/deploy/astrbot/btpanel.html) for BT Panel app-store setup, [1Panel Deployment](https://docs.astrbot.app/deploy/astrbot/1panel.html) for 1Panel app-market deployment, [CasaOS Deployment](https://docs.astrbot.app/deploy/astrbot/casaos.html) for NAS/home-server visual deployment, and [Manual Deployment](https://docs.astrbot.app/deploy/astrbot/cli.html) for fully custom source-based installation with `uv`.
```bash
git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
uv run main.py
```
## Supported Messaging Platforms
或者请参阅官方文档 [通过源码部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html) 。
Connect AstrBot to your favorite chat platform.
## 支持的消息平台
| Platform | Maintainer |
|---------|---------------|
| QQ | Official |
| OneBot v11 protocol implementation | Official |
| Telegram | Official |
| Wecom & Wecom AI Bot | Official |
| WeChat Official Accounts | Official |
| Feishu (Lark) | Official |
| DingTalk | Official |
| Slack | Official |
| Discord | Official |
| LINE | Official |
| Satori | Official |
| KOOK | Official |
| Misskey | Official |
| Mattermost | Official |
| WhatsApp (Coming Soon) | Official |
| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | Community |
| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | Community |
| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | Community |
**官方维护**
## Supported Model Services
- QQ (官方平台 & OneBot)
- Telegram
- 企微应用 & 企微智能机器人
- 微信客服 & 微信公众号
- 飞书
- 钉钉
- Slack
- Discord
- Satori
- Misskey
- Whatsapp (将支持)
- LINE (将支持)
| Service | Type |
|---------|---------------|
| OpenAI and Compatible Services | LLM Services |
| Anthropic | LLM Services |
| Google Gemini | LLM Services |
| Moonshot AI | LLM Services |
| Zhipu AI | LLM Services |
| DeepSeek | LLM Services |
| Ollama (Self-hosted) | LLM Services |
| LM Studio (Self-hosted) | LLM Services |
| [AIHubMix](https://aihubmix.com/?aff=4bfH) | LLM Services (API Gateway, supports all models) |
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | LLM Services |
| [302.AI](https://share.302.ai/rr1M3l) | LLM Services |
| [TokenPony](https://www.tokenpony.cn/3YPyf) | LLM Services |
| [SiliconFlow](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | LLM Services |
| [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE) | LLM Services |
| ModelScope | LLM Services |
| OneAPI | LLM Services |
| Dify | LLMOps Platforms |
| Alibaba Cloud Bailian Applications | LLMOps Platforms |
| Coze | LLMOps Platforms |
| OpenAI Whisper | Speech-to-Text Services |
| SenseVoice | Speech-to-Text Services |
| Xiaomi MiMo Omni | Speech-to-Text Services |
| OpenAI TTS | Text-to-Speech Services |
| Gemini TTS | Text-to-Speech Services |
| GPT-Sovits-Inference | Text-to-Speech Services |
| GPT-Sovits | Text-to-Speech Services |
| FishAudio | Text-to-Speech Services |
| Edge TTS | Text-to-Speech Services |
| Alibaba Cloud Bailian TTS | Text-to-Speech Services |
| Azure TTS | Text-to-Speech Services |
| Minimax TTS | Text-to-Speech Services |
| Xiaomi MiMo TTS | Text-to-Speech Services |
| Volcano Engine TTS | Text-to-Speech Services |
**社区维护**
## ❤️ Sponsors
- [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter)
- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
<p align="center">
<img alt="sponsors" src="https://sponsors.astrbot.app/?v=1">
</p>
## 支持的模型服务
**大模型服务**
## ❤️ Contributing
- OpenAI 及兼容服务
- Anthropic
- Google Gemini
- Moonshot AI
- 智谱 AI
- DeepSeek
- Ollama (本地部署)
- LM Studio (本地部署)
- [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
- [302.AI](https://share.302.ai/rr1M3l)
- [小马算力](https://www.tokenpony.cn/3YPyf)
- [硅基流动](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot)
- [PPIO 派欧云](https://ppio.com/user/register?invited_by=AIOONE)
- ModelScope
- OneAPI
Issues and Pull Requests are always welcome! Feel free to submit your changes to this project :)
**LLMOps 平台**
### How to Contribute
- Dify
- 阿里云百炼应用
- Coze
You can contribute by reviewing issues or helping with pull request reviews. Any issues or PRs are welcome to encourage community participation. Of course, these are just suggestions—you can contribute in any way you like. For adding new features, please discuss through an Issue first.
**语音转文本服务**
### Development Environment
- OpenAI Whisper
- SenseVoice
AstrBot uses `ruff` for code formatting and linting.
**文本转语音服务**
- OpenAI TTS
- Gemini TTS
- GPT-Sovits-Inference
- GPT-Sovits
- FishAudio
- Edge TTS
- 阿里云百炼 TTS
- Azure TTS
- Minimax TTS
- 火山引擎 TTS
## ❤️ 贡献
欢迎任何 Issues/Pull Requests只需要将你的更改提交到此项目 )
### 如何贡献
你可以通过查看问题或帮助审核 PR拉取请求来贡献。任何问题或 PR 都欢迎参与,以促进社区贡献。当然,这些只是建议,你可以以任何方式进行贡献。对于新功能的添加,请先通过 Issue 讨论。
### 开发环境
AstrBot 使用 `ruff` 进行代码格式化和检查。
```bash
git clone https://github.com/AstrBotDevs/AstrBot
@@ -229,46 +219,42 @@ pip install pre-commit
pre-commit install
```
## 🌍 社区
## 🌍 Community
### QQ 群组
### QQ Groups
- 1 群322154837
- 3 群630166526
- 5 群822130018
- 6 群753075035
- 7 群743746109
- 8 群1030353265
- 开发者群975206796
- Group 12: 916228568 (New)
- Group 9: 1076659624 (Full)
- Group 10: 1078079676 (Full)
- Group 11: 704659519 (Full)
- Group 1: 322154837 (Full)
- Group 3: 630166526 (Full)
- Group 4: 1077826412 (Full)
- Group 5: 822130018 (Full)
- Group 6: 753075035 (Full)
- Group 7: 743746109 (Full)
- Group 8: 1030353265 (Full)
### Telegram 群组
- Developer Group(Chit-chat): 975206796
- Developer Group(Formal): 1039761811
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
### Discord Server
### Discord 群组
<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
## ❤️ Special Thanks
Special thanks to all Contributors and plugin developers for their contributions to AstrBot ❤️
特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️
<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot&max=300&columns=15" />
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
</a>
Additionally, the birth of this project would not have been possible without the help of the following open-source projects:
此外,本项目的诞生离不开以下开源项目的帮助:
- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - The amazing cat framework
- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 伟大的猫猫框架
## ⭐ Star History
> [!TIP]
> If this project has helped you in your life or work, or if you're interested in its future development, please give the project a Star. It's the driving force behind maintaining this open-source project <3
> 如果本项目对您的生活 / 工作产生了帮助,或者您关注本项目的未来发展,请给项目 Star这是我们维护这个开源项目的动力 <3
<div align="center">
@@ -276,11 +262,12 @@ Additionally, the birth of this project would not have been possible without the
</div>
<div align="center">
</details>
_Companionship and capability should never be at odds. What we aim to create is a robot that can understand emotions, provide genuine companionship, and reliably accomplish tasks._
<div align="center">
_私は、高性能ですから!_
<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
</div>
</div

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@@ -0,0 +1,255 @@
![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
<div align="center">
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
<br>
<div>
<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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<br>
<div>
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
<img src="https://deepwiki.com/badge.svg" href="https://deepwiki.com/AstrBotDevs/AstrBot">
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<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?color=76bad9"/></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20plugins&label=Marketplace&cacheSeconds=3600">
<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
</div>
<br>
<a href="https://astrbot.app/">Documentation</a>
<a href="https://blog.astrbot.app/">Blog</a>
<a href="https://astrbot.featurebase.app/roadmap">Roadmap</a>
<a href="https://github.com/AstrBotDevs/AstrBot/issues">Issue Tracker</a>
</div>
AstrBot is an open-source all-in-one Agent chatbot platform that integrates with mainstream instant messaging apps. It provides reliable and scalable conversational AI infrastructure for individuals, developers, and teams. Whether you're building a personal AI companion, intelligent customer service, automation assistant, or enterprise knowledge base, AstrBot enables you to quickly build production-ready AI applications within your IM platform workflows.
![070d50ba43ea3c96980787127bbbe552](https://github.com/user-attachments/assets/6fe147c5-68d9-4f47-a8de-252e63fdcbd8)
## Key Features
1. 💯 Free & Open Source.
2. ✨ AI LLM Conversations, Multimodal, Agent, MCP, Skills, Knowledge Base, Persona Settings, Auto Context Compression.
3. 🤖 Supports integration with Dify, Alibaba Cloud Bailian, Coze, and other agent platforms.
4. 🌐 Multi-Platform: QQ, WeChat Work, Feishu, DingTalk, WeChat Official Accounts, Telegram, Slack, and [more](#supported-messaging-platforms).
5. 📦 Plugin Extensions with nearly 800 plugins available for one-click installation.
6. 🛡️ [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) for isolated, safe execution of code, shell calls, and session-level resource reuse.
7. 💻 WebUI Support.
8. 🌈 Web ChatUI Support with built-in agent sandbox and web search.
9. 🌐 Internationalization (i18n) Support.
## Quick Start
#### Docker Deployment (Recommended 🥳)
We recommend deploying AstrBot using Docker or Docker Compose.
Please refer to the official documentation: [Deploy AstrBot with Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
#### uv Deployment
```bash
uvx astrbot
```
#### BT-Panel Deployment
AstrBot has partnered with BT-Panel and is now available in their marketplace.
Please refer to the official documentation: [BT-Panel Deployment](https://astrbot.app/deploy/astrbot/btpanel.html).
#### 1Panel Deployment
AstrBot has been officially listed on the 1Panel marketplace.
Please refer to the official documentation: [1Panel Deployment](https://astrbot.app/deploy/astrbot/1panel.html).
#### Deploy on RainYun
AstrBot has been officially listed on RainYun's cloud application platform with one-click deployment.
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
#### Deploy on Replit
Community-contributed deployment method.
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
#### Windows One-Click Installer
Please refer to the official documentation: [Deploy AstrBot with Windows One-Click Installer](https://astrbot.app/deploy/astrbot/windows.html).
#### CasaOS Deployment
Community-contributed deployment method.
Please refer to the official documentation: [CasaOS Deployment](https://astrbot.app/deploy/astrbot/casaos.html).
#### Manual Deployment
First, install uv:
```bash
pip install uv
```
Install AstrBot via Git Clone:
```bash
git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
uv run main.py
```
Or refer to the official documentation: [Deploy AstrBot from Source](https://astrbot.app/deploy/astrbot/cli.html).
## Supported Messaging Platforms
**Officially Maintained**
- QQ (Official Platform & OneBot)
- Telegram
- WeChat Work Application & WeChat Work Intelligent Bot
- WeChat Customer Service & WeChat Official Accounts
- Feishu (Lark)
- DingTalk
- Slack
- Discord
- Satori
- Misskey
- WhatsApp (Coming Soon)
- LINE (Coming Soon)
**Community Maintained**
- [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter)
- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
## Supported Model Services
**LLM Services**
- OpenAI and Compatible Services
- Anthropic
- Google Gemini
- Moonshot AI
- Zhipu AI
- DeepSeek
- Ollama (Self-hosted)
- LM Studio (Self-hosted)
- [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
- [302.AI](https://share.302.ai/rr1M3l)
- [TokenPony](https://www.tokenpony.cn/3YPyf)
- [SiliconFlow](https://docs.siliconflow.cn/cn/usecases/use-siliconcloud-in-astrbot)
- [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE)
- ModelScope
- OneAPI
**LLMOps Platforms**
- Dify
- Alibaba Cloud Bailian Applications
- Coze
**Speech-to-Text Services**
- OpenAI Whisper
- SenseVoice
**Text-to-Speech Services**
- OpenAI TTS
- Gemini TTS
- GPT-Sovits-Inference
- GPT-Sovits
- FishAudio
- Edge TTS
- Alibaba Cloud Bailian TTS
- Azure TTS
- Minimax TTS
- Volcano Engine TTS
## ❤️ Contributing
Issues and Pull Requests are always welcome! Feel free to submit your changes to this project :)
### How to Contribute
You can contribute by reviewing issues or helping with pull request reviews. Any issues or PRs are welcome to encourage community participation. Of course, these are just suggestions—you can contribute in any way you like. For adding new features, please discuss through an Issue first.
### Development Environment
AstrBot uses `ruff` for code formatting and linting.
```bash
git clone https://github.com/AstrBotDevs/AstrBot
pip install pre-commit
pre-commit install
```
## 🌍 Community
### QQ Groups
- Group 1: 322154837
- Group 3: 630166526
- Group 5: 822130018
- Group 6: 753075035
- Group 7: 743746109
- Group 8: 1030353265
- Developer Group: 975206796
### Telegram Group
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
### Discord Server
<a href="https://discord.gg/hAVk6tgV36"><img alt="Discord_community" src="https://img.shields.io/badge/Discord-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
## ❤️ Special Thanks
Special thanks to all Contributors and plugin developers for their contributions to AstrBot ❤️
<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
</a>
Additionally, the birth of this project would not have been possible without the help of the following open-source projects:
- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - The amazing cat framework
## ⭐ Star History
> [!TIP]
> If this project has helped you in your life or work, or if you're interested in its future development, please give the project a Star. It's the driving force behind maintaining this open-source project <3
<div align="center">
[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
</div>
</details>
<div align="center">
_私は、高性能ですから!_
<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
</div>

View File

@@ -1,207 +1,186 @@
![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
<div align="center">
</p>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
<div align="center">
<br>
<div>
<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://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>
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</div>
<br>
<div>
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
<img src="https://deepwiki.com/badge.svg" href="https://deepwiki.com/AstrBotDevs/AstrBot">
<a href="https://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFZIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjc1ODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?color=76bad9"/></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20&label=Marketplace&cacheSeconds=3600">
<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20plugins&style=for-the-badge&label=Marketplace&cacheSeconds=3600">
</div>
<br>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
<a href="https://astrbot.app/">Documentation</a>
<a href="https://blog.astrbot.app/">Blog</a>
<a href="https://astrbot.featurebase.app/roadmap">Feuille de route</a>
<a href="https://github.com/AstrBotDevs/AstrBot/issues">Signaler un problème</a>
<a href="mailto:community@astrbot.app">Email Support</a>
</div>
AstrBot est une plateforme de chatbot Agent tout-en-un open source qui s'intègre aux principales applications de messagerie instantanée. Elle fournit une infrastructure d'IA conversationnelle fiable et évolutive pour les particuliers, les développeurs et les équipes. Que vous construisiez un compagnon IA personnel, un service client intelligent, un assistant d'automatisation ou une base de connaissances d'entreprise, AstrBot vous permet de créer rapidement des applications d'IA prêtes pour la production dans les flux de travail de votre plateforme de messagerie.
![521771166-00782c4c-4437-4d97-aabc-605e3738da5c (1)](https://github.com/user-attachments/assets/61e7b505-f7db-41aa-a75f-4ef8f079b8ba)
<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
## Fonctionnalités principales
1. 💯 Gratuit & Open Source.
2.Dialogue avec de grands modèles d'IA, multimodal, Agent, MCP, Skills, Base de connaissances, Paramétrage de personnalité, compression automatique des dialogues.
3. 🤖 Prise en charge de l'accès aux plateformes d'Agents telles que Dify, Alibaba Cloud Bailian, Coze, etc.
4. 🌐 Multiplateforme : supporte QQ, WeChat Enterprise, Feishu, DingTalk, Comptes officiels WeChat, Telegram, Slack et [plus encore](#plateformes-de-messagerie-prises-en-charge).
5. 📦 Extension par plugins, avec plus de 1000 plugins déjà disponibles pour une installation en un clic.
6. 🛡️ Environnement isolé [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) : exécution sécurisée de code, appels Shell et réutilisation des ressources au niveau de la session.
7. 💻 Support WebUI.
8. 🌈 Support Web ChatUI, avec sandbox d'agent intégrée, recherche web, etc.
9. 🌐 Support de l'internationalisation (i18n).
<br>
<table align="center">
<tr align="center">
<th>💙 Jeux de rôle & Accompagnement émotionnel</th>
<th>✨ Agent proactif</th>
<th>🚀 Capacités agentiques générales</th>
<th>🧩 1000+ Plugins de communauté</th>
</tr>
<tr>
<td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
<td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
<td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
<td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
</tr>
</table>
2.Conversations avec LLM IA, Multimodal, Agent, MCP, Base de connaissances, Paramètres de personnalité.
3. 🤖 Prise en charge de l'intégration avec Dify, Alibaba Cloud Bailian, Coze et autres plateformes d'agents.
4. 🌐 Multi-plateforme : QQ, WeChat Work, Feishu, DingTalk, Comptes officiels WeChat, Telegram, Slack, et [plus encore](#plateformes-de-messagerie-prises-en-charge).
5. 📦 Extensions de plugins avec ps de 800 plugins disponibles pour une installation en un clic.
6. 💻 Support WebUI.
7. 🌐 Support de l'internationalisation (i18n).
## Démarrage rapide
### Déploiement en un clic
#### Déploiement Docker (Recommandé 🥳)
Pour les utilisateurs qui veulent découvrir AstrBot rapidement, qui sont familiers avec la ligne de commande et peuvent installer eux-mêmes l'environnement `uv`, nous recommandons la méthode de déploiement en un clic avec `uv` ⚡️ :
Nous recommandons de déployer AstrBot en utilisant Docker ou Docker Compose.
Veuillez consulter la documentation officielle : [Déployer AstrBot avec Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
#### Déploiement uv
```bash
uv tool install astrbot --python 3.12
astrbot init # Exécutez cette commande uniquement la première fois pour initialiser l'environnement
astrbot run
uvx astrbot
```
> [uv](https://docs.astral.sh/uv/) doit être installé.
> AstrBot nécessite Python 3.12 ou une version plus récente. L'option `--python 3.12` garantit que `uv` crée l'environnement tool avec Python 3.12.
#### Déploiement BT-Panel
> [!NOTE]
> Pour les utilisateurs macOS : en raison des vérifications de sécurité de macOS, la première exécution de la commande `astrbot` peut prendre plus de temps (environ 10-20s).
AstrBot s'est associé à BT-Panel et est maintenant disponible sur leur marketplace.
Mettre à jour `astrbot` :
Veuillez consulter la documentation officielle : [Déploiement BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html).
```bash
uv tool upgrade astrbot --python 3.12
```
#### Déploiement 1Panel
> [!WARNING]
> AstrBot déployé via `uv` **ne prend pas en charge la mise à jour via le WebUI**. Pour mettre à jour, exécutez la commande ci-dessus depuis le terminal.
AstrBot a été officiellement listé sur le marketplace 1Panel.
### Déploiement Docker
Veuillez consulter la documentation officielle : [Déploiement 1Panel](https://astrbot.app/deploy/astrbot/1panel.html).
Pour les utilisateurs familiers avec les conteneurs et qui souhaitent une méthode plus stable et adaptée à la production, nous recommandons de déployer AstrBot avec Docker / Docker Compose.
#### Déployer sur RainYun
Veuillez consulter la documentation officielle [Déployer AstrBot avec Docker](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
### Déployer sur RainYun
Pour les utilisateurs qui souhaitent déployer AstrBot en un clic sans gérer le serveur eux-mêmes, nous recommandons le service de déploiement cloud en un clic de RainYun ☁️ :
AstrBot a été officiellement listé sur la plateforme d'applications cloud de RainYun avec un déploiement en un clic.
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### Déploiement de l'application de bureau
#### Déployer sur Replit
Pour les utilisateurs qui veulent utiliser AstrBot sur desktop et passer principalement par ChatUI, nous recommandons AstrBot App.
Accédez à [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) pour télécharger et installer l'application ; cette méthode est conçue pour un usage desktop et n'est pas recommandée pour les scénarios serveur.
### Déploiement avec le lanceur
Également sur desktop, pour les utilisateurs qui souhaitent un déploiement rapide avec isolation d'environnement et multi-instances, nous recommandons AstrBot Launcher.
Accédez à [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) pour télécharger et installer.
### Déployer sur Replit
Le déploiement sur Replit est maintenu par la communauté et convient aux démonstrations en ligne et aux essais légers.
Méthode de déploiement contribuée par la communauté.
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
#### Installateur Windows en un clic
Le mode AUR s'adresse aux utilisateurs Arch Linux qui préfèrent installer AstrBot via le gestionnaire de paquets système.
Veuillez consulter la documentation officielle : [Déployer AstrBot avec l'installateur Windows en un clic](https://astrbot.app/deploy/astrbot/windows.html).
Exécutez la commande ci-dessous pour installer `astrbot-git`, puis lancez AstrBot localement.
#### Déploiement CasaOS
Méthode de déploiement contribuée par la communauté.
Veuillez consulter la documentation officielle : [Déploiement CasaOS](https://astrbot.app/deploy/astrbot/casaos.html).
#### Déploiement manuel
Tout d'abord, installez uv :
```bash
yay -S astrbot-git
pip install uv
```
**Autres méthodes de déploiement**
Installez AstrBot via Git Clone :
Si vous avez besoin d'une gestion par panneau ou d'une personnalisation plus poussée, consultez [Déploiement BT-Panel](https://docs.astrbot.app/deploy/astrbot/btpanel.html) pour une installation via BT Panel, [Déploiement 1Panel](https://docs.astrbot.app/deploy/astrbot/1panel.html) pour le marketplace 1Panel, [Déploiement CasaOS](https://docs.astrbot.app/deploy/astrbot/casaos.html) pour un déploiement visuel sur NAS/serveur domestique, et [Déploiement manuel](https://docs.astrbot.app/deploy/astrbot/cli.html) pour une installation complète depuis les sources avec `uv`.
```bash
git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
uv run main.py
```
Ou consultez la documentation officielle : [Déployer AstrBot depuis les sources](https://astrbot.app/deploy/astrbot/cli.html).
## Plateformes de messagerie prises en charge
Connectez AstrBot à vos plateformes de chat préférées.
**Maintenues officiellement**
| Plateforme | Maintenance |
|---------|---------------|
| QQ | Officielle |
| Implémentation du protocole OneBot v11 | Officielle |
| Telegram | Officielle |
| Application WeChat Work & Bot intelligent WeChat Work | Officielle |
| Service client WeChat & Comptes officiels WeChat | Officielle |
| Feishu (Lark) | Officielle |
| DingTalk | Officielle |
| Slack | Officielle |
| Discord | Officielle |
| LINE | Officielle |
| Satori | Officielle |
| KOOK | Officielle |
| Misskey | Officielle |
| Mattermost | Officielle |
| WhatsApp (Bientôt disponible) | Officielle |
| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | Communauté |
| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | Communauté |
| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | Communauté |
- QQ (Plateforme officielle & OneBot)
- Telegram
- Application WeChat Work & Bot intelligent WeChat Work
- Service client WeChat & Comptes officiels WeChat
- Feishu (Lark)
- DingTalk
- Slack
- Discord
- Satori
- Misskey
- WhatsApp (Bientôt disponible)
- LINE (Bientôt disponible)
**Maintenues par la communauté**
- [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter)
- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
## Services de modèles pris en charge
| Service | Type |
|---------|---------------|
| OpenAI et services compatibles | Services LLM |
| Anthropic | Services LLM |
| Google Gemini | Services LLM |
| Moonshot AI | Services LLM |
| Zhipu AI | Services LLM |
| DeepSeek | Services LLM |
| Ollama (Auto-hébergé) | Services LLM |
| LM Studio (Auto-hébergé) | Services LLM |
| [AIHubMix](https://aihubmix.com/?aff=4bfH) | Services LLM (Passerelle API, prend en charge tous les modèles) |
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | Services LLM |
| [302.AI](https://share.302.ai/rr1M3l) | Services LLM |
| [TokenPony](https://www.tokenpony.cn/3YPyf) | Services LLM |
| [SiliconFlow](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | Services LLM |
| [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE) | Services LLM |
| ModelScope | Services LLM |
| OneAPI | Services LLM |
| Dify | Plateformes LLMOps |
| Applications Alibaba Cloud Bailian | Plateformes LLMOps |
| Coze | Plateformes LLMOps |
| OpenAI Whisper | Services de reconnaissance vocale |
| SenseVoice | Services de reconnaissance vocale |
| Xiaomi MiMo Omni | Services de reconnaissance vocale |
| OpenAI TTS | Services de synthèse vocale |
| Gemini TTS | Services de synthèse vocale |
| GPT-Sovits-Inference | Services de synthèse vocale |
| GPT-Sovits | Services de synthèse vocale |
| FishAudio | Services de synthèse vocale |
| Edge TTS | Services de synthèse vocale |
| Alibaba Cloud Bailian TTS | Services de synthèse vocale |
| Azure TTS | Services de synthèse vocale |
| Minimax TTS | Services de synthèse vocale |
| Xiaomi MiMo TTS | Services de synthèse vocale |
| Volcano Engine TTS | Services de synthèse vocale |
**Services LLM**
- OpenAI et services compatibles
- Anthropic
- Google Gemini
- Moonshot AI
- Zhipu AI
- DeepSeek
- Ollama (Auto-hébergé)
- LM Studio (Auto-hébergé)
- [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
- [302.AI](https://share.302.ai/rr1M3l)
- [TokenPony](https://www.tokenpony.cn/3YPyf)
- [SiliconFlow](https://docs.siliconflow.cn/cn/usecases/use-siliconcloud-in-astrbot)
- [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE)
- ModelScope
- OneAPI
**Plateformes LLMOps**
- Dify
- Applications Alibaba Cloud Bailian
- Coze
**Services de reconnaissance vocale**
- OpenAI Whisper
- SenseVoice
**Services de synthèse vocale**
- OpenAI TTS
- Gemini TTS
- GPT-Sovits-Inference
- GPT-Sovits
- FishAudio
- Edge TTS
- Alibaba Cloud Bailian TTS
- Azure TTS
- Minimax TTS
- Volcano Engine TTS
## ❤️ Contribuer
@@ -225,19 +204,15 @@ pre-commit install
### Groupes QQ
- Groupe 12 : 916228568 (nouveau)
- Groupe 9 : 1076659624 (complet)
- Groupe 10 : 1078079676 (complet)
- Groupe 11 : 704659519 (complet)
- Groupe 1 : 322154837 (complet)
- Groupe 3 : 630166526 (complet)
- Groupe 4 : 1077826412 (complet)
- Groupe 5 : 822130018 (complet)
- Groupe 6 : 753075035 (complet)
- Groupe 7 : 743746109 (complet)
- Groupe 8 : 1030353265 (complet)
- Groupe 1 : 322154837
- Groupe 3 : 630166526
- Groupe 5 : 822130018
- Groupe 6 : 753075035
- Groupe développeurs : 975206796
- Groupe développeurs (officiel) : 1039761811
### Groupe Telegram
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
### Serveur Discord
@@ -248,7 +223,7 @@ pre-commit install
Un grand merci à tous les contributeurs et développeurs de plugins pour leurs contributions à AstrBot ❤️
<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot&max=300&columns=15" />
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
</a>
De plus, la naissance de ce projet n'aurait pas été possible sans l'aide des projets open source suivants :
@@ -266,12 +241,7 @@ De plus, la naissance de ce projet n'aurait pas été possible sans l'aide des p
</div>
<div align="center">
_La compagnie et la capacité ne devraient jamais être des opposés. Nous souhaitons créer un robot capable à la fois de comprendre les émotions, d'offrir de la présence, et d'accomplir des tâches de manière fiable._
</details>
_私は、高性能ですから!_
<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
</div>

View File

@@ -1,208 +1,187 @@
![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
<div align="center">
</p>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
<div align="center">
<br>
<div>
<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="FeaturedHelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
</div>
<br>
<div>
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
<img src="https://deepwiki.com/badge.svg" href="https://deepwiki.com/AstrBotDevs/AstrBot">
<a href="https://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFZIiBmaWxsPSIjZmZmIi8%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%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDRMNCAxMlpFIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?color=76bad9"/></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20&label=%E3%83%97%E3%83%A9%E3%82%B0%E3%82%A4%E3%83%B3%E3%83%9E%E3%83%BC%E3%82%B1%E3%83%83%E3%83%88&cacheSeconds=3600">
<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E5%80%8B&style=for-the-badge&label=%E3%83%97%E3%83%A9%E3%82%B0%E3%82%A4%E3%83%B3&cacheSeconds=3600">
</div>
<br>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
<a href="https://astrbot.app/">ドキュメント</a>
<a href="https://blog.astrbot.app/">Blog</a>
<a href="https://astrbot.featurebase.app/roadmap">ロードマップ</a>
<a href="https://github.com/AstrBotDevs/AstrBot/issues">Issue</a>
<a href="mailto:community@astrbot.app">Email Support</a>
</div>
AstrBot は、主要なインスタントメッセージングアプリと統合できるオープンソースのオールインワン Agent チャットボットプラットフォームです。個人、開発者、チームに信頼性が高くスケーラブルな会話型 AI インフラストラクチャを提供します。パーソナル AI コンパニオン、インテリジェントカスタマーサービス、オートメーションアシスタント、エンタープライズナレッジベースなど、AstrBot を使用すると、IM プラットフォームのワークフロー内で本番環境対応の AI アプリケーションを迅速に構築できます。
![screenshot_1 5x_postspark_2026-02-27_22-37-45](https://github.com/user-attachments/assets/f17cdb90-52d7-4773-be2e-ff64b566af6b)
<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
## 主な機能
1. 💯 無料 & オープンソース。
2. ✨ AI大規模言語モデル対話、マルチモーダル、Agent、MCP、Skills、ナレッジベース、ペルソナ設定、対話の自動圧縮
3. 🤖 Dify、Alibaba Cloud Bailian百煉、Coze などのAgentプラットフォームへの接続をサポート。
4. 🌐 マルチプラットフォームQQ、企業微信WeCom、飛書Lark、釘釘DingTalk、WeChat公式アカウント、Telegram、Slack、[その他](#サポートされているメッセージプラットフォーム)に対応
5. 📦 プラグイン拡張1000を超える既存プラグインをワンクリックでインストール可能。
6. 🛡️ 隔離環境[Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html)コードの安全な実行、Shell呼び出し、セッションレベルのリソース再利用
7. 💻 WebUI 対応
8. 🌈 Web ChatUI 対応ChatUI内にAgent Sandboxやウェブ検索などを内蔵。
9. 🌐 多言語対応i18n
<br>
<table align="center">
<tr align="center">
<th>💙 ロールプレイ & 感情的な対話</th>
<th>✨ プロアクティブ・エージェント (Proactive Agent)</th>
<th>🚀 汎用 エージェント的能力</th>
<th>🧩 1000+ コミュニティプラグイン</th>
</tr>
<tr>
<td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
<td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
<td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
<td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
</tr>
</table>
2. ✨ AI 大規模言語モデル対話、マルチモーダル、Agent、MCP、ナレッジベース、ペルソナ設定。
3. 🤖 Dify、Alibaba Cloud 百炼、Coze などの Agent プラットフォームとの統合をサポート。
4. 🌐 マルチプラットフォームQQ、WeChat Work、Feishu、DingTalk、WeChat 公式アカウント、Telegram、Slack、[その他](#サポートされているメッセージプラットフォーム)。
5. 📦 約800個のプラグインをワンクリックでインストール可能なプラグイン拡張機能
6. 💻 WebUI サポート
7. 🌐 国際化i18nサポート
## クイックスタート
### ワンクリックデプロイ
#### Docker デプロイ(推奨 🥳)
AstrBot を素早く試したいユーザーで、コマンドラインに慣れており `uv` 環境を自分でインストールできる場合は、`uv` のワンクリックデプロイをおすすめします ⚡️:
Docker / Docker Compose を使用した AstrBot のデプロイを推奨します。
公式ドキュメント [Docker を使用した AstrBot のデプロイ](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) をご参照ください。
#### uv デプロイ
```bash
uv tool install astrbot --python 3.12
astrbot init # 初回のみ実行して環境を初期化します
astrbot run
uvx astrbot
```
> [uv](https://docs.astral.sh/uv/) のインストールが必要です。
> AstrBot には Python 3.12 以降が必要です。`--python 3.12` を指定すると、`uv` は Python 3.12 で tool 環境を作成します。
#### 宝塔パネルデプロイ
> [!NOTE]
> macOS ユーザーの場合macOS のセキュリティチェックにより、`astrbot` コマンドの初回実行に時間がかかる場合があります(約 10〜20 秒)。
AstrBot は宝塔パネルと提携し、宝塔パネルに公開されています。
`astrbot` の更新:
公式ドキュメント [宝塔パネルデプロイ](https://astrbot.app/deploy/astrbot/btpanel.html) をご参照ください。
```bash
uv tool upgrade astrbot --python 3.12
```
#### 1Panel デプロイ
> [!WARNING]
> `uv` 経由でデプロイした AstrBot は、**WebUI からのバージョンアップグレードに対応していません**。更新するには、上記のコマンドをコマンドラインで実行してください。
AstrBot は 1Panel 公式により 1Panel パネルに公開されています。
### Docker デプロイ
公式ドキュメント [1Panel デプロイ](https://astrbot.app/deploy/astrbot/1panel.html) をご参照ください。
コンテナ運用に慣れており、より安定した本番向けのデプロイ方法を求めるユーザーには、Docker / Docker Compose での AstrBot デプロイをおすすめします。
#### 雨云でのデプロイ
公式ドキュメント [Docker を使用した AstrBot のデプロイ](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot) をご参照ください
### 雨云でのデプロイ
AstrBot をワンクリックでデプロイしたく、サーバーを自分で管理したくないユーザーには、雨云のワンクリッククラウドデプロイサービスをおすすめします ☁️:
AstrBot は雨云公式によりクラウドアプリケーションプラットフォームに公開され、ワンクリックでデプロイ可能です
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### デスクトップアプリのデプロイ
#### Replit でのデプロイ
デスクトップで AstrBot を使い、主に ChatUI を入口として利用するユーザーには、AstrBot App をおすすめします
[AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) からダウンロードしてインストールしてください。この方式はデスクトップ向けであり、サーバー用途には推奨されません。
### ランチャーのデプロイ
同じくデスクトップで、素早くデプロイしつつ環境を分離して多重起動したいユーザーには、AstrBot Launcher をおすすめします。
[AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) からダウンロードしてインストールしてください。
### Replit でのデプロイ
Replit デプロイはコミュニティ提供の方式で、オンラインデモや軽量な試用に向いています。
コミュニティ貢献によるデプロイ方法
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
#### Windows ワンクリックインストーラーデプロイ
AUR 方式は Arch Linux ユーザー向けで、システムのパッケージ運用に合わせて AstrBot を導入したい場合に適しています
公式ドキュメント [Windows ワンクリックインストーラーを使用した AstrBot のデプロイ](https://astrbot.app/deploy/astrbot/windows.html) をご参照ください
次のコマンドで `astrbot-git` をインストールし、ローカル環境で AstrBot を起動してください。
#### CasaOS デプロイ
コミュニティ貢献によるデプロイ方法。
公式ドキュメント [CasaOS デプロイ](https://astrbot.app/deploy/astrbot/casaos.html) をご参照ください。
#### 手動デプロイ
まず uv をインストールします:
```bash
yay -S astrbot-git
pip install uv
```
**その他のデプロイ方法**
Git Clone で AstrBot をインストール:
パネル操作での導入やより高度なカスタマイズが必要な場合は、[宝塔パネルデプロイ](https://docs.astrbot.app/deploy/astrbot/btpanel.html)BT Panel 経由の導入)、[1Panel デプロイ](https://docs.astrbot.app/deploy/astrbot/1panel.html)1Panel アプリマーケット経由)、[CasaOS デプロイ](https://docs.astrbot.app/deploy/astrbot/casaos.html)NAS / ホームサーバー向け可視化導入)、[手動デプロイ](https://docs.astrbot.app/deploy/astrbot/cli.html)`uv` とソースベースのフルカスタム導入)を参照してください。
```bash
git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
uv run main.py
```
または、公式ドキュメント [ソースコードから AstrBot をデプロイ](https://astrbot.app/deploy/astrbot/cli.html) をご参照ください。
## サポートされているメッセージプラットフォーム
AstrBot をよく使うチャットプラットフォームに接続できます。
**公式メンテナンス**
| プラットフォーム | 保守 |
|---------|---------------|
| QQ | 公式 |
| OneBot v11 プロトコル実装 | 公式 |
| Telegram | 公式 |
| WeChat Work アプリケーション & WeChat Work インテリジェントボット | 公式 |
| WeChat カスタマーサービス & WeChat 公式アカウント | 公式 |
| Feishu (Lark) | 公式 |
| DingTalk | 公式 |
| Slack | 公式 |
| Discord | 公式 |
| LINE | 公式 |
| Satori | 公式 |
| KOOK | 公式 |
| Misskey | 公式 |
| Mattermost | 公式 |
| WhatsApp (近日対応予定) | 公式 |
| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | コミュニティ |
| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | コミュニティ |
| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | コミュニティ |
- QQ (公式プラットフォーム & OneBot)
- Telegram
- WeChat Work アプリケーション & WeChat Work インテリジェントボット
- WeChat カスタマーサービス & WeChat 公式アカウント
- Feishu (Lark)
- DingTalk
- Slack
- Discord
- Satori
- Misskey
- WhatsApp (近日対応予定)
- LINE (近日対応予定)
**コミュニティメンテナンス**
- [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter)
- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
## サポートされているモデルサービス
| サービス | 種類 |
|---------|---------------|
| OpenAI および互換サービス | 大規模言語モデルサービス |
| Anthropic | 大規模言語モデルサービス |
| Google Gemini | 大規模言語モデルサービス |
| Moonshot AI | 大規模言語モデルサービス |
| 智谱 AI | 大規模言語モデルサービス |
| DeepSeek | 大規模言語モデルサービス |
| Ollama (セルフホスト) | 大規模言語モデルサービス |
| LM Studio (セルフホスト) | 大規模言語モデルサービス |
| [AIHubMix](https://aihubmix.com/?aff=4bfH) | 大規模言語モデルサービスAPIゲートウェイ、全モデル対応 |
| [優云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | 大規模言語モデルサービス |
| [302.AI](https://share.302.ai/rr1M3l) | 大規模言語モデルサービス |
| [小馬算力](https://www.tokenpony.cn/3YPyf) | 大規模言語モデルサービス |
| [硅基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | 大規模言語モデルサービス |
| [PPIO 派欧云](https://ppio.com/user/register?invited_by=AIOONE) | 大規模言語モデルサービス |
| ModelScope | 大規模言語モデルサービス |
| OneAPI | 大規模言語モデルサービス |
| Dify | LLMOps プラットフォーム |
| Alibaba Cloud 百炼アプリケーション | LLMOps プラットフォーム |
| Coze | LLMOps プラットフォーム |
| OpenAI Whisper | 音声認識サービス |
| SenseVoice | 音声認識サービス |
| Xiaomi MiMo Omni | 音声認識サービス |
| OpenAI TTS | 音声合成サービス |
| Gemini TTS | 音声合成サービス |
| GPT-Sovits-Inference | 音声合成サービス |
| GPT-Sovits | 音声合成サービス |
| FishAudio | 音声合成サービス |
| Edge TTS | 音声合成サービス |
| Alibaba Cloud 百炼 TTS | 音声合成サービス |
| Azure TTS | 音声合成サービス |
| Minimax TTS | 音声合成サービス |
| Xiaomi MiMo TTS | 音声合成サービス |
| Volcano Engine TTS | 音声合成サービス |
**大規模言語モデルサービス**
- OpenAI および互換サービス
- Anthropic
- Google Gemini
- Moonshot AI
- 智谱 AI
- DeepSeek
- Ollama (セルフホスト)
- LM Studio (セルフホスト)
- [優云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
- [302.AI](https://share.302.ai/rr1M3l)
- [小馬算力](https://www.tokenpony.cn/3YPyf)
- [硅基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot)
- [PPIO 派欧云](https://ppio.com/user/register?invited_by=AIOONE)
- ModelScope
- OneAPI
**LLMOps プラットフォーム**
- Dify
- Alibaba Cloud 百炼アプリケーション
- Coze
**音声認識サービス**
- OpenAI Whisper
- SenseVoice
**音声合成サービス**
- OpenAI TTS
- Gemini TTS
- GPT-Sovits-Inference
- GPT-Sovits
- FishAudio
- Edge TTS
- Alibaba Cloud 百炼 TTS
- Azure TTS
- Minimax TTS
- Volcano Engine TTS
## ❤️ コントリビューション
@@ -226,19 +205,15 @@ pre-commit install
### QQ グループ
- 12群: 916228568 (新)
- 9群: 1076659624 (満員)
- 10群: 1078079676 (満員)
- 11群: 704659519 (満員)
- 1群: 322154837 (満員)
- 3群: 630166526 (満員)
- 4群: 1077826412 (満員)
- 5群: 822130018 (満員)
- 6群: 753075035 (満員)
- 7群: 743746109 (満員)
- 8群: 1030353265 (満員)
- 1群: 322154837
- 3群: 630166526
- 5群: 822130018
- 6群: 753075035
- 開発者群: 975206796
- 開発者群(正式): 1039761811
### Telegram グループ
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
### Discord サーバー
@@ -249,7 +224,7 @@ pre-commit install
AstrBot への貢献をしていただいたすべてのコントリビューターとプラグイン開発者に特別な感謝を ❤️
<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot&max=300&columns=15" />
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
</a>
また、このプロジェクトの誕生は以下のオープンソースプロジェクトの助けなしには実現できませんでした:
@@ -267,12 +242,6 @@ AstrBot への貢献をしていただいたすべてのコントリビュータ
</div>
<div align="center">
_共感力と能力は決して対立するものではありません。私たちが目指すのは、感情を理解し、心の支えとなるだけでなく、確実に仕事をこなせるロボットの創造です。_
</details>
_私は、高性能ですから!_
<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
</div>

View File

@@ -1,207 +1,186 @@
![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
<div align="center">
</p>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
<div align="center">
<br>
<div>
<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="FeaturedHelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
</div>
<br>
<div>
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
<img src="https://deepwiki.com/badge.svg" href="https://deepwiki.com/AstrBotDevs/AstrBot">
<a href="https://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFZIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjczODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?color=76bad9"/></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20&label=%D0%9C%D0%B0%D1%80%D0%BA%D0%B5%D1%82%D0%BF%D0%BB%D0%B5%D0%B9%D1%81&cacheSeconds=3600">
<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%20%D0%BF%D0%BB%D0%B0%D0%B3%D0%B8%D0%BD%D0%BE%D0%B2&style=for-the-badge&label=%D0%9C%D0%B0%D0%B3%D0%B0%D0%B7%D0%B8%D0%BD&cacheSeconds=3600">
</div>
<br>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
<a href="https://astrbot.app/">Документация</a>
<a href="https://blog.astrbot.app/">Блог</a>
<a href="https://astrbot.featurebase.app/roadmap">Дорожная карта</a>
<a href="https://github.com/AstrBotDevs/AstrBot/issues">Сообщить о проблеме</a>
<a href="mailto:community@astrbot.app">Email Support</a>
</div>
AstrBot — это универсальная платформа Agent-чатботов с открытым исходным кодом, которая интегрируется с основными приложениями для обмена мгновенными сообщениями. Она предоставляет надёжную и масштабируемую инфраструктуру разговорного ИИ для частных лиц, разработчиков и команд. Будь то персональный ИИ-компаньон, интеллектуальная служба поддержки, автоматизированный помощник или корпоративная база знаний — AstrBot позволяет быстро создавать готовые к использованию ИИ-приложения в рабочих процессах вашей платформы обмена сообщениями.
![521771166-00782c4c-4437-4d97-aabc-605e3738da5c (1)](https://github.com/user-attachments/assets/61e7b505-f7db-41aa-a75f-4ef8f079b8ba)
<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
## Основные возможности
1. 💯 Бесплатно & Открытый исходный код.
2.Диалоги с ИИ-моделями, мультимодальность, Agent, MCP, Skills, База знаний, Настройка личности, автоматическое сжатие диалогов.
3. 🤖 Поддержка интеграции с платформами Agents, такими как Dify, Alibaba Cloud Bailian, Coze и др.
4. 🌐 Мультиплатформенность: поддержка QQ, WeChat для предприятий, Feishu, DingTalk, публичных аккаунтов WeChat, Telegram, Slack и [других](#Поддерживаемые-платформы-обмена-сообщениями).
5. 📦 Расширение плагинами: доступно более 1000 плагинов для установки в один клик.
6. 🛡️ Изолированная среда[Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html): безопасное выполнение любого кода, вызов Shell, повторное использование ресурсов на уровне сессии.
7. 💻 Поддержка WebUI.
8. 🌈 Поддержка Web ChatUI: встроенная песочница агента, веб-поиск и др.
9. 🌐 Поддержка интернационализации (i18n).
<br>
<table align="center">
<tr align="center">
<th>💙 Ролевые игры & Эмоциональная поддержка</th>
<th>✨ Проактивный Агент (Agent)</th>
<th>🚀 Универсальные возможности Агента</th>
<th>🧩 1000+ плагинов сообщества</th>
</tr>
<tr>
<td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
<td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
<td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
<td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
</tr>
</table>
1. 💯 Бесплатно и с открытым исходным кодом.
2.ИИ-диалоги с LLM, мультимодальность, Agent, MCP, база знаний, настройки личности.
3. 🤖 Поддержка интеграции с Dify, Alibaba Cloud Bailian, Coze и другими платформами агентов.
4. 🌐 Мультиплатформенность: QQ, WeChat Work, Feishu, DingTalk, официальные аккаунты WeChat, Telegram, Slack и [другие](#поддерживаемые-платформы-обмена-сообщениями).
5. 📦 Расширения плагинов с почти 800 плагинами, доступными для установки в один клик.
6. 💻 Поддержка WebUI.
7. 🌐 Поддержка интернационализации (i18n).
## Быстрый старт
### Развёртывание в один клик
#### Развёртывание Docker (Рекомендуется 🥳)
Для пользователей, которые хотят быстро попробовать AstrBot, знакомы с командной строкой и могут самостоятельно установить окружение `uv`, мы рекомендуем использовать развёртывание в один клик через `uv` ⚡️:
Мы рекомендуем развёртывать AstrBot с помощью Docker или Docker Compose.
См. официальную документацию: [Развёртывание AstrBot с Docker](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
#### Развёртывание uv
```bash
uv tool install astrbot --python 3.12
astrbot init # Выполните эту команду только при первом запуске для инициализации окружения
astrbot run
uvx astrbot
```
> Требуется установленный [uv](https://docs.astral.sh/uv/).
> Для AstrBot требуется Python 3.12 или новее. Параметр `--python 3.12` гарантирует, что `uv` создаст tool-окружение с Python 3.12.
#### Развёртывание BT-Panel
> [!NOTE]
> Для пользователей macOS: из-за проверок безопасности macOS первый запуск команды `astrbot` может занять больше времени (около 10-20 секунд).
AstrBot в партнёрстве с BT-Panel теперь доступен на их маркетплейсе.
Обновить `astrbot`:
См. официальную документацию: [Развёртывание BT-Panel](https://astrbot.app/deploy/astrbot/btpanel.html).
```bash
uv tool upgrade astrbot --python 3.12
```
#### Развёртывание 1Panel
> [!WARNING]
> AstrBot, развёрнутый через `uv`, **не поддерживает обновление через WebUI**. Для обновления выполните указанную выше команду из командной строки.
AstrBot официально размещён на маркетплейсе 1Panel.
### Развёртывание Docker
См. официальную документацию: [Развёртывание 1Panel](https://astrbot.app/deploy/astrbot/1panel.html).
Для пользователей, знакомых с контейнерами и которым нужен более стабильный и подходящий для production способ, мы рекомендуем разворачивать AstrBot через Docker / Docker Compose.
#### Развёртывание на RainYun
См. официальную документацию [Развёртывание AstrBot с Docker](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot).
### Развёртывание на RainYun
Для пользователей, которые хотят развернуть AstrBot в один клик и не хотят самостоятельно управлять сервером, мы рекомендуем облачный сервис развёртывания в один клик от RainYun ☁️:
AstrBot официально размещён на облачной платформе приложений RainYun с развёртыванием в один клик.
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### Развёртывание десктопного приложения
#### Развёртывание на Replit
Для пользователей, которые хотят использовать AstrBot на десктопе и в основном работают через ChatUI, мы рекомендуем AstrBot App.
Перейдите в [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop), скачайте и установите приложение; этот вариант предназначен для десктопа и не рекомендуется для серверных сценариев.
### Развёртывание через лаунчер
Также на десктопе, для пользователей, которым нужен быстрый запуск и мультиинстанс с изоляцией окружений, мы рекомендуем AstrBot Launcher.
Перейдите в [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher), чтобы скачать и установить.
### Развёртывание на Replit
Развёртывание через Replit поддерживается сообществом и подходит для онлайн-демо и лёгких тестовых запусков.
Метод развёртывания от сообщества.
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
#### Установщик Windows в один клик
AUR-вариант предназначен для пользователей Arch Linux, которым удобна установка через системный менеджер пакетов.
См. официальную документацию: [Развёртывание AstrBot с установщиком Windows в один клик](https://astrbot.app/deploy/astrbot/windows.html).
Выполните команду ниже для установки `astrbot-git`, затем запустите AstrBot локально.
#### Развёртывание CasaOS
Метод развёртывания от сообщества.
См. официальную документацию: [Развёртывание CasaOS](https://astrbot.app/deploy/astrbot/casaos.html).
#### Ручное развёртывание
Сначала установите uv:
```bash
yay -S astrbot-git
pip install uv
```
**Другие способы развёртывания**
Установите AstrBot через Git Clone:
Если вам нужна панельная установка или более глубокая кастомизация, смотрите [Развёртывание BT-Panel](https://docs.astrbot.app/deploy/astrbot/btpanel.html) (установка через BT Panel), [Развёртывание 1Panel](https://docs.astrbot.app/deploy/astrbot/1panel.html) (развёртывание через маркетплейс 1Panel), [Развёртывание CasaOS](https://docs.astrbot.app/deploy/astrbot/casaos.html) (визуальный вариант для NAS и домашних серверов) и [Ручное развёртывание](https://docs.astrbot.app/deploy/astrbot/cli.html) (полностью настраиваемая установка из исходников через `uv`).
```bash
git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
uv run main.py
```
Или см. официальную документацию: [Развёртывание AstrBot из исходного кода](https://astrbot.app/deploy/astrbot/cli.html).
## Поддерживаемые платформы обмена сообщениями
Подключите AstrBot к вашим любимым чат-платформам.
**Официально поддерживаемые**
| Платформа | Поддержка |
|---------|---------------|
| QQ | Официальная |
| Реализация протокола OneBot v11 | Официальная |
| Telegram | Официальная |
| Приложение WeChat Work и интеллектуальный бот WeChat Work | Официальная |
| Служба поддержки WeChat и официальные аккаунты WeChat | Официальная |
| Feishu (Lark) | Официальная |
| DingTalk | Официальная |
| Slack | Официальная |
| Discord | Официальная |
| LINE | Официальная |
| Satori | Официальная |
| KOOK | Официальная |
| Misskey | Официальная |
| Mattermost | Официальная |
| WhatsApp (Скоро) | Официальная |
| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | Сообщество |
| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | Сообщество |
| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | Сообщество |
- QQ (Официальная платформа и OneBot)
- Telegram
- Приложение WeChat Work и интеллектуальный бот WeChat Work
- Служба поддержки WeChat и официальные аккаунты WeChat
- Feishu (Lark)
- DingTalk
- Slack
- Discord
- Satori
- Misskey
- WhatsApp (Скоро)
- LINE (Скоро)
**Поддерживаемые сообществом**
- [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter)
- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
## Поддерживаемые сервисы моделей
| Сервис | Тип |
|---------|---------------|
| OpenAI и совместимые сервисы | Сервисы LLM |
| Anthropic | Сервисы LLM |
| Google Gemini | Сервисы LLM |
| Moonshot AI | Сервисы LLM |
| Zhipu AI | Сервисы LLM |
| DeepSeek | Сервисы LLM |
| Ollama (Самостоятельное размещение) | Сервисы LLM |
| LM Studio (Самостоятельное размещение) | Сервисы LLM |
| [AIHubMix](https://aihubmix.com/?aff=4bfH) | Сервисы LLM (API-шлюз, поддерживает все модели) |
| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | Сервисы LLM |
| [302.AI](https://share.302.ai/rr1M3l) | Сервисы LLM |
| [TokenPony](https://www.tokenpony.cn/3YPyf) | Сервисы LLM |
| [SiliconFlow](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | Сервисы LLM |
| [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE) | Сервисы LLM |
| ModelScope | Сервисы LLM |
| OneAPI | Сервисы LLM |
| Dify | Платформы LLMOps |
| Приложения Alibaba Cloud Bailian | Платформы LLMOps |
| Coze | Платформы LLMOps |
| OpenAI Whisper | Сервисы распознавания речи |
| SenseVoice | Сервисы распознавания речи |
| Xiaomi MiMo Omni | Сервисы распознавания речи |
| OpenAI TTS | Сервисы синтеза речи |
| Gemini TTS | Сервисы синтеза речи |
| GPT-Sovits-Inference | Сервисы синтеза речи |
| GPT-Sovits | Сервисы синтеза речи |
| FishAudio | Сервисы синтеза речи |
| Edge TTS | Сервисы синтеза речи |
| Alibaba Cloud Bailian TTS | Сервисы синтеза речи |
| Azure TTS | Сервисы синтеза речи |
| Minimax TTS | Сервисы синтеза речи |
| Xiaomi MiMo TTS | Сервисы синтеза речи |
| Volcano Engine TTS | Сервисы синтеза речи |
**Сервисы LLM**
- OpenAI и совместимые сервисы
- Anthropic
- Google Gemini
- Moonshot AI
- Zhipu AI
- DeepSeek
- Ollama (Самостоятельное размещение)
- LM Studio (Самостоятельное размещение)
- [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
- [302.AI](https://share.302.ai/rr1M3l)
- [TokenPony](https://www.tokenpony.cn/3YPyf)
- [SiliconFlow](https://docs.siliconflow.cn/cn/usecases/use-siliconcloud-in-astrbot)
- [PPIO Cloud](https://ppio.com/user/register?invited_by=AIOONE)
- ModelScope
- OneAPI
**Платформы LLMOps**
- Dify
- Приложения Alibaba Cloud Bailian
- Coze
**Сервисы распознавания речи**
- OpenAI Whisper
- SenseVoice
**Сервисы синтеза речи**
- OpenAI TTS
- Gemini TTS
- GPT-Sovits-Inference
- GPT-Sovits
- FishAudio
- Edge TTS
- Alibaba Cloud Bailian TTS
- Azure TTS
- Minimax TTS
- Volcano Engine TTS
## ❤️ Вклад в проект
@@ -225,19 +204,15 @@ pre-commit install
### Группы QQ
- Группа 12: 916228568 (новая)
- Группа 9: 1076659624 (полная)
- Группа 10: 1078079676 (полная)
- Группа 11: 704659519 (полная)
- Группа 1: 322154837 (полная)
- Группа 3: 630166526 (полная)
- Группа 4: 1077826412 (полная)
- Группа 5: 822130018 (полная)
- Группа 6: 753075035 (полная)
- Группа 7: 743746109 (полная)
- Группа 8: 1030353265 (полная)
- Группа 1: 322154837
- Группа 3: 630166526
- Группа 5: 822130018
- Группа 6: 753075035
- Группа разработчиков: 975206796
- Группа разработчиков (официальная): 1039761811
### Группа Telegram
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
### Сервер Discord
@@ -248,7 +223,7 @@ pre-commit install
Особая благодарность всем контрибьюторам и разработчикам плагинов за их вклад в AstrBot ❤️
<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot&max=300&columns=15" />
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
</a>
Кроме того, рождение этого проекта было бы невозможно без помощи следующих проектов с открытым исходным кодом:
@@ -260,19 +235,13 @@ pre-commit install
> [!TIP]
> Если этот проект помог вам в жизни или работе, или если вас интересует его будущее развитие, пожалуйста, поставьте проекту звезду. Это движущая сила поддержки этого проекта с открытым исходным кодом <3
<div align="center">
[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
</div>
<div align="center">
_Сопровождение и способности никогда не должны быть противоположностями. Мы стремимся создать робота, который сможет как понимать эмоции, оказывать душевную поддержку, так и надёжно выполнять работу._
</details>
_私は、高性能ですから!_
<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
</div>

View File

@@ -1,207 +1,186 @@
![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
<div align="center">
</p>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh.md">简体中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
<div align="center">
<br>
<div>
<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://trendshift.io/repositories/12875" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12875" alt="Soulter%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="FeaturedHelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
</div>
<br>
<div>
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
<img src="https://deepwiki.com/badge.svg" href="https://deepwiki.com/AstrBotDevs/AstrBot">
<a href="https://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjc1ODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?color=76bad9"/></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E5%80%8B&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%A0%B4&cacheSeconds=3600">
<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?style=for-the-badge&color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg?style=for-the-badge&color=76bad9" alt="python">
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?style=for-the-badge&color=76bad9"/></a>
<a href="https://qm.qq.com/cgi-bin/qm/qr?k=wtbaNx7EioxeaqS9z7RQWVXPIxg2zYr7&jump_from=webapi&authKey=vlqnv/AV2DbJEvGIcxdlNSpfxVy+8vVqijgreRdnVKOaydpc+YSw4MctmEbr0k5"><img alt="QQ_community" src="https://img.shields.io/badge/QQ群-775869627-purple?style=for-the-badge&color=76bad9"></a>
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E5%80%8B&style=for-the-badge&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%A0%B4&cacheSeconds=3600">
</div>
<br>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">简体中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_en.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
<a href="https://astrbot.app/">文件</a>
<a href="https://blog.astrbot.app/">Blog</a>
<a href="https://astrbot.featurebase.app/roadmap">路線圖</a>
<a href="https://github.com/AstrBotDevs/AstrBot/issues">問題回報</a>
<a href="mailto:community@astrbot.app">Email</a>
<a href="https://github.com/AstrBotDevs/AstrBot/issues">問題回報</a>
</div>
AstrBot 是一個開源的一站式 Agent 聊天機器人平台,可接入主流即時通訊軟體,為個人、開發者和團隊打造可靠、可擴展的對話式智慧基礎設施。無論是個人 AI 夥伴、智慧客服、自動化助手還是企業知識庫AstrBot 都能在您的即時通訊軟體平台的工作流程中快速構建生產可用的 AI 應用程式。
![screenshot_1 5x_postspark_2026-02-27_22-37-45](https://github.com/user-attachments/assets/f17cdb90-52d7-4773-be2e-ff64b566af6b)
<img width="1776" height="1080" alt="image" src="https://github.com/user-attachments/assets/00782c4c-4437-4d97-aabc-605e3738da5c" />
## 主要功能
1. 💯 免費 & 開源。
2. ✨ AI 大模型對話多模態AgentMCPSkills知識庫,人格設定,自動壓縮對話
3. 🤖 支援接入 Dify、阿里雲百煉、Coze 等智慧體 (Agent) 平台。
4. 🌐 多平台,支援 QQ、企業微信、飛書、釘釘、微信公眾號、Telegram、Slack 以及[更多](#支援的訊息平台)。
5. 📦 插件擴展,已有 1000+插件可一鍵安裝。
6. 🛡️ [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) 隔離化環境,安全地執行任何代碼、調用 Shell、會話級資源複用
7. 💻 WebUI 支援。
8. 🌈 Web ChatUI 支援ChatUI 內置代理沙盒 (Agent Sandbox)、網頁搜尋等。
9. 🌐 國際化i18n支援。
<br>
<table align="center">
<tr align="center">
<th>💙 角色扮演 & 情感陪伴</th>
<th>✨ 主動式 Agent</th>
<th>🚀 通用 Agentic 能力</th>
<th>🧩 1000+ 社區外掛程式</th>
</tr>
<tr>
<td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
<td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
<td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
<td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
</tr>
</table>
2. ✨ AI 大模型對話多模態AgentMCP知識庫人格設定。
3. 🤖 支援接入 Dify、阿里雲百煉、Coze 等智慧體平台。
4. 🌐 多平台QQ、企業微信、飛書、釘釘、微信公眾號、Telegram、Slack 以及[更多](#支援的訊息平台)。
5. 📦 外掛擴充,已有近 800 個外掛可一鍵安裝。
6. 💻 WebUI 支援
7. 🌐 國際化i18n支援。
## 快速開始
### 一鍵部署
#### Docker 部署(推薦 🥳)
對於想快速體驗 AstrBot、且熟悉命令列並能自行安裝 `uv` 環境的使用者,我們推薦使用 `uv` 一鍵部署方式 ⚡️
推薦使用 Docker / Docker Compose 方式部署 AstrBot
請參閱官方文件 [使用 Docker 部署 AstrBot](https://astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)。
#### uv 部署
```bash
uv tool install astrbot --python 3.12
astrbot init # 僅首次執行此命令以初始化環境
astrbot run
uvx astrbot
```
> 需要安裝 [uv](https://docs.astral.sh/uv/)。
> AstrBot 需要 Python 3.12 或更高版本。`--python 3.12` 會確保 `uv` 使用 Python 3.12 建立 tool 環境。
#### 寶塔面板部署
> [!NOTE]
> 對於 macOS 使用者:由於 macOS 安全性檢查,首次執行 `astrbot` 指令可能需要較長時間(約 10-20 秒)。
AstrBot 與寶塔面板合作,已上架至寶塔面板。
更新 `astrbot`
請參閱官方文件 [寶塔面板部署](https://astrbot.app/deploy/astrbot/btpanel.html)。
```bash
uv tool upgrade astrbot --python 3.12
```
#### 1Panel 部署
> [!WARNING]
> 透過 `uv` 部署的 AstrBot **不支援在 WebUI 中進行版本升級**。如需更新,請透過命令列執行上述命令。
AstrBot 已由 1Panel 官方上架至 1Panel 面板。
### Docker 部署
請參閱官方文件 [1Panel 部署](https://astrbot.app/deploy/astrbot/1panel.html)。
對於熟悉容器、希望獲得更穩定且更適合正式環境部署方式的使用者,我們推薦使用 Docker / Docker Compose 部署 AstrBot。
#### 在雨雲上部署
請參考官方文件 [使用 Docker 部署 AstrBot](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)
### 在雨雲上部署
對於希望一鍵部署 AstrBot 且不想自行管理伺服器的使用者,我們推薦使用雨雲的一鍵雲端部署服務 ☁️:
AstrBot 已由雨雲官方上架至雲端應用程式平台,可一鍵部署
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### 桌面客戶端部署
#### 在 Replit 上部署
對於希望在桌面端使用 AstrBot、並以 ChatUI 為主要入口的使用者,我們推薦使用 AstrBot App
前往 [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) 下載並安裝;此方式面向桌面使用,不建議伺服器場景。
### 啟動器部署
同樣在桌面端,對於希望快速部署並實現環境隔離多開的使用者,我們推薦使用 AstrBot Launcher。
前往 [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) 下載並安裝。
### 在 Replit 上部署
Replit 部署由社群維護,適合線上示範與輕量試用情境。
社群貢獻的部署方式
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
#### Windows 一鍵安裝器部署
AUR 方式面向 Arch Linux 使用者,適合希望透過系統套件管理器安裝 AstrBot 的場景
請參閱官方文件 [使用 Windows 一鍵安裝器部署 AstrBot](https://astrbot.app/deploy/astrbot/windows.html)
在終端執行下方命令安裝 `astrbot-git` 套件,安裝完成後即可啟動使用。
#### CasaOS 部署
社群貢獻的部署方式。
請參閱官方文件 [CasaOS 部署](https://astrbot.app/deploy/astrbot/casaos.html)。
#### 手動部署
首先安裝 uv
```bash
yay -S astrbot-git
pip install uv
```
**更多部署方式**
透過 Git Clone 安裝 AstrBot
若你需要面板化或更高自訂程度的部署,可參考 [寶塔面板](https://docs.astrbot.app/deploy/astrbot/btpanel.html)BT Panel 應用商店安裝)、[1Panel](https://docs.astrbot.app/deploy/astrbot/1panel.html)1Panel 應用商店安裝)、[CasaOS](https://docs.astrbot.app/deploy/astrbot/casaos.html)NAS / 家用伺服器可視化部署)與 [手動部署](https://docs.astrbot.app/deploy/astrbot/cli.html)(基於原始碼與 `uv` 的完整自訂安裝)。
```bash
git clone https://github.com/AstrBotDevs/AstrBot && cd AstrBot
uv run main.py
```
或者請參閱官方文件 [透過原始碼部署 AstrBot](https://astrbot.app/deploy/astrbot/cli.html)。
## 支援的訊息平台
將 AstrBot 連接到你常用的聊天平台。
**官方維護**
| 平台 | 維護方 |
|---------|---------------|
| QQ | 官方維護 |
| OneBot v11 協議實作 | 官方維護 |
| Telegram | 官方維護 |
| 企微應用 & 企微智慧機器人 | 官方維護 |
| 微信客服 & 微信公眾號 | 官方維護 |
| 飛書 | 官方維護 |
| 釘釘 | 官方維護 |
| Slack | 官方維護 |
| Discord | 官方維護 |
| LINE | 官方維護 |
| Satori | 官方維護 |
| KOOK | 官方維護 |
| Misskey | 官方維護 |
| Mattermost | 官方維護 |
| WhatsApp即將支援 | 官方維護 |
| [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | 社群維護 |
| [Rocket.Chat](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | 社群維護 |
| [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat) | 社群維護 |
- QQ官方平台 & OneBot
- Telegram
- 企微應用 & 企微智慧機器人
- 微信客服 & 微信公眾號
- 飛書
- 釘釘
- Slack
- Discord
- Satori
- Misskey
- Whatsapp即將支援
- LINE(即將支援)
**社群維護**
- [Matrix](https://github.com/stevessr/astrbot_plugin_matrix_adapter)
- [KOOK](https://github.com/wuyan1003/astrbot_plugin_kook_adapter)
- [VoceChat](https://github.com/HikariFroya/astrbot_plugin_vocechat)
## 支援的模型服務
| 服務 | 類型 |
|---------|---------------|
| OpenAI 及相容服務 | 大型模型服務 |
| Anthropic | 大型模型服務 |
| Google Gemini | 大型模型服務 |
| Moonshot AI | 大型模型服務 |
| 智譜 AI | 大型模型服務 |
| DeepSeek | 大型模型服務 |
| Ollama本機部署 | 大型模型服務 |
| LM Studio本機部署 | 大型模型服務 |
| [AIHubMix](https://aihubmix.com/?aff=4bfH) | 大型模型服務API 閘道,支援所有模型) |
| [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | 大型模型服務 |
| [302.AI](https://share.302.ai/rr1M3l) | 大型模型服務 |
| [小馬算力](https://www.tokenpony.cn/3YPyf) | 大型模型服務 |
| [矽基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | 大型模型服務 |
| [PPIO 派歐雲](https://ppio.com/user/register?invited_by=AIOONE) | 大型模型服務 |
| ModelScope | 大型模型服務 |
| OneAPI | 大型模型服務 |
| Dify | LLMOps 平台 |
| 阿里雲百煉應用 | LLMOps 平台 |
| Coze | LLMOps 平台 |
| OpenAI Whisper | 語音轉文字服務 |
| SenseVoice | 語音轉文字服務 |
| Xiaomi MiMo Omni | 語音轉文字服務 |
| OpenAI TTS | 文字轉語音服務 |
| Gemini TTS | 文字轉語音服務 |
| GPT-Sovits-Inference | 文字轉語音服務 |
| GPT-Sovits | 文字轉語音服務 |
| FishAudio | 文字轉語音服務 |
| Edge TTS | 文字轉語音服務 |
| 阿里雲百煉 TTS | 文字轉語音服務 |
| Azure TTS | 文字轉語音服務 |
| Minimax TTS | 文字轉語音服務 |
| Xiaomi MiMo TTS | 文字轉語音服務 |
| 火山引擎 TTS | 文字轉語音服務 |
**大型模型服務**
- OpenAI 及相容服務
- Anthropic
- Google Gemini
- Moonshot AI
- 智譜 AI
- DeepSeek
- Ollama本機部署
- LM Studio本機部署
- [優雲智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74)
- [302.AI](https://share.302.ai/rr1M3l)
- [小馬算力](https://www.tokenpony.cn/3YPyf)
- [矽基流動](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot)
- [PPIO 派歐雲](https://ppio.com/user/register?invited_by=AIOONE)
- ModelScope
- OneAPI
**LLMOps 平台**
- Dify
- 阿里雲百煉應用
- Coze
**語音轉文字服務**
- OpenAI Whisper
- SenseVoice
**文字轉語音服務**
- OpenAI TTS
- Gemini TTS
- GPT-Sovits-Inference
- GPT-Sovits
- FishAudio
- Edge TTS
- 阿里雲百煉 TTS
- Azure TTS
- Minimax TTS
- 火山引擎 TTS
## ❤️ 貢獻
@@ -225,19 +204,15 @@ pre-commit install
### QQ 群組
- 12 群:916228568 (新)
- 9 群:1076659624 (人滿)
- 10 群:1078079676 (人滿)
- 11704659519 (人滿)
- 1 群322154837 (人滿)
- 3 群630166526 (人滿)
- 4 群1077826412 (人滿)
- 5 群822130018 (人滿)
- 6 群753075035 (人滿)
- 7 群743746109 (人滿)
- 8 群1030353265 (人滿)
- 開發者群闲聊吹水975206796
- 開發者群正式1039761811
- 1 群:322154837
- 3 群:630166526
- 5 群:822130018
- 6753075035
- 開發者群975206796
### Telegram 群組
<a href="https://t.me/+hAsD2Ebl5as3NmY1"><img alt="Telegram_community" src="https://img.shields.io/badge/Telegram-AstrBot-purple?style=for-the-badge&color=76bad9"></a>
### Discord 群組
@@ -248,7 +223,7 @@ pre-commit install
特別感謝所有 Contributors 和外掛開發者對 AstrBot 的貢獻 ❤️
<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot&max=300&columns=15" />
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot" />
</a>
此外,本專案的誕生離不開以下開源專案的幫助:
@@ -266,12 +241,7 @@ pre-commit install
</div>
<div align="center">
_陪伴與能力從來不應該是對立面。我們希望創造的是一個既能理解情緒、給予陪伴,也能可靠完成工作的機器人。_
</details>
_私は、高性能ですから!_
<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
</div>

View File

@@ -1,288 +0,0 @@
![AstrBot-Logo-Simplified](https://github.com/user-attachments/assets/ffd99b6b-3272-4682-beaa-6fe74250f7d9)
<div align="center">
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README.md">English</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_zh-TW.md">繁體中文</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ja.md">日本語</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_fr.md">Français</a>
<a href="https://github.com/AstrBotDevs/AstrBot/blob/master/README_ru.md">Русский</a>
<div>
<a href="https://trendshift.io/repositories/21369" target="_blank"><img src="https://trendshift.io/api/badge/repositories/21369" alt="AstrBotDevs%2FAstrBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
<a href="https://hellogithub.com/repository/AstrBotDevs/AstrBot" target="_blank"><img src="https://api.hellogithub.com/v1/widgets/recommend.svg?rid=d127d50cd5e54c5382328acc3bb25483&claim_uid=ZO9by7qCXgSd6Lp&t=2" alt="FeaturedHelloGitHub" style="width: 250px; height: 54px;" width="250" height="54" /></a>
</div>
<br>
<div>
<img src="https://img.shields.io/github/v/release/AstrBotDevs/AstrBot?color=76bad9" href="https://github.com/AstrBotDevs/AstrBot/releases/latest">
<img src="https://img.shields.io/badge/python-3.10+-blue.svg" alt="python">
<img src="https://deepwiki.com/badge.svg" href="https://deepwiki.com/AstrBotDevs/AstrBot">
<a href="https://zread.ai/AstrBotDevs/AstrBot" target="_blank"><img src="https://img.shields.io/badge/Ask_Zread-_.svg?style=flat&color=00b0aa&labelColor=000000&logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPHN2ZyB3aWR0aD0iMTYiIGhlaWdodD0iMTYiIHZpZXdCb3g9IjAgMCAxNiAxNiIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggZD0iTTQuOTYxNTYgMS42MDAxSDIuMjQxNTZDMS44ODgxIDEuNjAwMSAxLjYwMTU2IDEuODg2NjQgMS42MDE1NiAyLjI0MDFWNC45NjAxQzEuNjAxNTYgNS4zMTM1NiAxLjg4ODEgNS42MDAxIDIuMjQxNTYgNS42MDAxSDQuOTYxNTZDNS4zMTUwMiA1LjYwMDEgNS42MDE1NiA1LjMxMzU2IDUuNjAxNTYgNC45NjAxVjIuMjQwMUM1LjYwMTU2IDEuODg2NjQgNS4zMTUwMiAxLjYwMDEgNC45NjE1NiAxLjYwMDFaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00Ljk2MTU2IDEwLjM5OTlIMi4yNDE1NkMxLjg4ODEgMTAuMzk5OSAxLjYwMTU2IDEwLjY4NjQgMS42MDE1NiAxMS4wMzk5VjEzLjc1OTlDMS42MDE1NiAxNC4xMTM0IDEuODg4MSAxNC4zOTk5IDIuMjQxNTYgMTQuMzk5OUg0Ljk2MTU2QzUuMzE1MDIgMTQuMzk5OSA1LjYwMTU2IDE0LjExMzQgNS42MDE1NiAxMy43NTk5VjExLjAzOTlDNS42MDE1NiAxMC42ODY0IDUuMzE1MDIgMTAuMzk5OSA0Ljk2MTU2IDEwLjM5OTlaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik0xMy43NTg0IDEuNjAwMUgxMS4wMzg0QzEwLjY4NSAxLjYwMDEgMTAuMzk4NCAxLjg4NjY0IDEwLjM5ODQgMi4yNDAxVjQuOTYwMUMxMC4zOTg0IDUuMzEzNTYgMTAuNjg1IDUuNjAwMSAxMS4wMzg0IDUuNjAwMUgxMy43NTg0QzE0LjExMTkgNS42MDAxIDE0LjM5ODQgNS4zMTM1NiAxNC4zOTg0IDQuOTYwMVYyLjI0MDFDMTQuMzk4NCAxLjg4NjY0IDE0LjExMTkgMS42MDAxIDEzLjc1ODQgMS42MDAxWiIgZmlsbD0iI2ZmZiIvPgo8cGF0aCBkPSJNNCAxMkwxMiA0TDQgMTJaIiBmaWxsPSIjZmZmIi8%2BCjxwYXRoIGQ9Ik00IDEyTDEyIDQiIHN0cm9rZT0iI2ZmZiIgc3Ryb2tlLXdpZHRoPSIxLjUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIvPgo8L3N2Zz4K&logoColor=ffffff" alt="zread"/></a>
<a href="https://hub.docker.com/r/soulter/astrbot"><img alt="Docker pull" src="https://img.shields.io/docker/pulls/soulter/astrbot.svg?color=76bad9"/></a>
<img src="https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.soulter.top%2Fastrbot%2Fplugin-num&query=%24.result&suffix=%E4%B8%AA&label=%E6%8F%92%E4%BB%B6%E5%B8%82%E5%9C%BA&cacheSeconds=3600">
<img src="https://gitcode.com/Soulter/AstrBot/star/badge.svg" href="https://gitcode.com/Soulter/AstrBot">
</div>
<br>
<a href="https://astrbot.app/">主页</a>
<a href="https://astrbot.app/">文档</a>
<a href="https://blog.astrbot.app/">博客</a>
<a href="https://astrbot.featurebase.app/roadmap">路线图</a>
<a href="https://github.com/AstrBotDevs/AstrBot/issues">问题提交</a>
<a href="mailto:community@astrbot.app">Email</a>
</div>
AstrBot 是一个开源的一站式 Agentic 个人和群聊助手,可在 QQ、Telegram、企业微信、飞书、钉钉、Slack 等数十款主流即时通讯软件上部署,此外还内置类似 OpenWebUI 的轻量化 ChatUI为个人、开发者和团队打造可靠、可扩展的对话式智能基础设施。无论是个人 AI 伙伴、智能客服、自动化助手还是企业知识库AstrBot 都能在你的即时通讯软件平台的工作流中快速构建 AI 应用。
![landingpage](https://github.com/user-attachments/assets/45fc5699-cddf-4e21-af35-13040706f6c0)
## 主要功能
1. 💯 免费 & 开源。
2. ✨ AI 大模型对话多模态AgentMCPSkills知识库人格设定自动压缩对话。
3. 🤖 支持接入 Dify、阿里云百炼、Coze 等智能体平台。
4. 🌐 多平台,支持 QQ、企业微信、飞书、钉钉、微信公众号、Telegram、Slack 以及[更多](#支持的消息平台)。
5. 📦 插件扩展,已有 1000+ 个插件可一键安装。
6. 🛡️ [Agent Sandbox](https://docs.astrbot.app/use/astrbot-agent-sandbox.html) 隔离化环境,安全地执行任何代码、调用 Shell、会话级资源复用。
7. 💻 WebUI 支持。
8. 🌈 Web ChatUI 支持ChatUI 内置代理沙盒、网页搜索等。
9. 🌐 国际化i18n支持。
<br>
<table align="center">
<tr align="center">
<th>💙 角色扮演 & 情感陪伴</th>
<th>✨ 主动式 Agent</th>
<th>🚀 通用 Agentic 能力</th>
<th>🧩 1000+ 社区插件</th>
</tr>
<tr>
<td align="center"><p align="center"><img width="984" height="1746" alt="99b587c5d35eea09d84f33e6cf6cfd4f" src="https://github.com/user-attachments/assets/89196061-3290-458d-b51f-afa178049f84" /></p></td>
<td align="center"><p align="center"><img width="976" height="1612" alt="c449acd838c41d0915cc08a3824025b1" src="https://github.com/user-attachments/assets/f75368b4-e022-41dc-a9e0-131c3e73e32e" /></p></td>
<td align="center"><p align="center"><img width="974" height="1732" alt="image" src="https://github.com/user-attachments/assets/e22a3968-87d7-4708-a7cd-e7f198c7c32e" /></p></td>
<td align="center"><p align="center"><img width="976" height="1734" alt="image" src="https://github.com/user-attachments/assets/0952b395-6b4a-432a-8a50-c294b7f89750" /></p></td>
</tr>
</table>
## 快速开始
### 一键部署
对于想快速体验 AstrBot、且熟悉命令行并能够自行安装 `uv` 环境的用户,我们推荐使用 `uv` 一键部署方式 ⚡️。
```bash
uv tool install astrbot --python 3.12
astrbot init # 仅首次执行此命令以初始化环境
astrbot run
```
> 需要安装 [uv](https://docs.astral.sh/uv/)。
> AstrBot 需要 Python 3.12 或更高版本。`--python 3.12` 会确保 `uv` 使用 Python 3.12 创建 tool 环境。
> [!NOTE]
> 对于 macOS 用户:由于 macOS 安全检查,首次运行 `astrbot` 命令可能需要较长时间(约 10-20 秒)。
更新 `astrbot`
```bash
uv tool upgrade astrbot --python 3.12
```
> [!WARNING]
> 通过 `uv` 部署的 AstrBot **不支持在 WebUI 中进行版本升级**。如需更新,请通过命令行执行上述命令。
### Docker 部署
对于熟悉容器、希望获得更稳定且更适合生产环境部署方式的用户,我们推荐使用 Docker / Docker Compose 部署 AstrBot。
请参考官方文档 [使用 Docker 部署 AstrBot](https://docs.astrbot.app/deploy/astrbot/docker.html#%E4%BD%BF%E7%94%A8-docker-%E9%83%A8%E7%BD%B2-astrbot)。
### 在 雨云 上部署
对于希望一键部署 AstrBot 且不想自行管理服务器的用户,我们推荐使用雨云的一键云部署服务 ☁️:
[![Deploy on RainYun](https://rainyun-apps.cn-nb1.rains3.com/materials/deploy-on-rainyun-en.svg)](https://app.rainyun.com/apps/rca/store/5994?ref=NjU1ODg0)
### 桌面客户端部署
对于希望在桌面端使用 AstrBot、并以 ChatUI 为主要入口的用户,我们推荐使用 AstrBot App。
前往 [AstrBot-desktop](https://github.com/AstrBotDevs/AstrBot-desktop) 下载并安装;该方式面向桌面使用,不推荐服务器场景。
### 启动器部署
同样在桌面端,希望快速部署并实现环境隔离多开的用户,我们推荐使用 AstrBot Launcher。
前往 [AstrBot Launcher](https://github.com/Raven95676/astrbot-launcher) 下载并安装。
### 在 Replit 上部署
Replit 部署由社区维护,适合在线演示和轻量试用场景。
[![Run on Repl.it](https://repl.it/badge/github/AstrBotDevs/AstrBot)](https://repl.it/github/AstrBotDevs/AstrBot)
### AUR
AUR 方式面向 Arch Linux 用户,适合希望通过系统包管理器安装 AstrBot 的场景。
在终端执行下方命令安装 `astrbot-git` 包,安装完成后即可启动使用。
```bash
yay -S astrbot-git
```
**更多部署方式**
若你需要面板化或更高自定义部署,可参考 [宝塔面板](https://docs.astrbot.app/deploy/astrbot/btpanel.html)BT Panel 应用商店安装)、[1Panel](https://docs.astrbot.app/deploy/astrbot/1panel.html)1Panel 应用商店安装)、[CasaOS](https://docs.astrbot.app/deploy/astrbot/casaos.html)NAS / 家庭服务器可视化部署)和 [手动部署](https://docs.astrbot.app/deploy/astrbot/cli.html)(基于源码与 `uv` 的完整自定义安装)。
## 支持的消息平台
将 AstrBot 连接到你常用的聊天平台。
| 平台 | 维护方 |
|---------|---------------|
| **QQ** | 官方维护 |
| **OneBot v11** | 官方维护 |
| **Telegram** | 官方维护 |
| **企微应用 & 企微智能机器人** | 官方维护 |
| **微信客服 & 微信公众号** | 官方维护 |
| **飞书** | 官方维护 |
| **钉钉** | 官方维护 |
| **Slack** | 官方维护 |
| **Discord** | 官方维护 |
| **LINE** | 官方维护 |
| **Satori** | 官方维护 |
| **KOOK** | 官方维护 |
| **Misskey** | 官方维护 |
| **Mattermost** | 官方维护 |
| **WhatsApp将支持** | 官方维护 |
| [**Matrix**](https://github.com/stevessr/astrbot_plugin_matrix_adapter) | 社区维护 |
| [**Rocket.Chat**](https://github.com/NET-Homeless/astrbot_plugin_rocket_chat_adapter) | 社区维护 |
| [**VoceChat**](https://github.com/HikariFroya/astrbot_plugin_vocechat) | 社区维护 |
## 支持的模型提供商
| 提供商 | 类型 |
|---------|---------------|
| 自定义 | 任何 OpenAI API 兼容的服务 |
| OpenAI | LLM |
| Anthropic | LLM |
| Google Gemini | LLM |
| Moonshot AI | LLM |
| 智谱 AI | LLM |
| DeepSeek | LLM |
| Ollama (本地部署) | LLM |
| LM Studio (本地部署) | LLM |
| [AIHubMix](https://aihubmix.com/?aff=4bfH) | LLM (API 网关, 支持所有模型) |
| [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_astrbot&referral_code=FV7DcGowN4hB5UuXKgpE74) | LLM (API 网关, 支持所有模型) |
| [硅基流动](https://docs.siliconflow.cn/cn/usercases/use-siliconcloud-in-astrbot) | LLM (API 网关, 支持所有模型) |
| [PPIO 派欧云](https://ppio.com/user/register?invited_by=AIOONE) | LLM (API 网关, 支持所有模型) |
| [302.AI](https://share.302.ai/rr1M3l) | LLM (API 网关, 支持所有模型)|
| [小马算力](https://www.tokenpony.cn/3YPyf) | LLM (API 网关, 支持所有模型)|
| ModelScope | LLM |
| OneAPI | LLM |
| Dify | LLMOps 平台 |
| 阿里云百炼应用 | LLMOps 平台 |
| Coze | LLMOps 平台 |
| OpenAI Whisper | 语音转文本 |
| SenseVoice | 语音转文本 |
| Xiaomi MiMo Omni | 语音转文本 |
| OpenAI TTS | 文本转语音 |
| Gemini TTS | 文本转语音 |
| GPT-Sovits-Inference | 文本转语音 |
| GPT-Sovits | 文本转语音 |
| FishAudio | 文本转语音 |
| Edge TTS | 文本转语音 |
| 阿里云百炼 TTS | 文本转语音 |
| Azure TTS | 文本转语音 |
| Minimax TTS | 文本转语音 |
| Xiaomi MiMo TTS | 文本转语音 |
| 火山引擎 TTS | 文本转语音 |
## ❤️ 贡献
欢迎任何 Issues/Pull Requests只需要将你的更改提交到此项目 )
### 如何贡献
你可以通过查看问题或帮助审核 PR拉取请求来贡献。任何问题或 PR 都欢迎参与,以促进社区贡献。当然,这些只是建议,你可以以任何方式进行贡献。对于新功能的添加,请先通过 Issue 讨论。
### 开发环境
AstrBot 使用 `ruff` 进行代码格式化和检查。
```bash
git clone https://github.com/AstrBotDevs/AstrBot
pip install pre-commit
pre-commit install
```
## 🌍 社区
### QQ 群组
- 12 群916228568 (新)
- 9 群1076659624 (人满)
- 10 群1078079676 (人满)
- 11 群704659519 (人满)
- 1 群322154837 (人满)
- 3 群630166526 (人满)
- 4 群1077826412 (人满)
- 5 群822130018 (人满)
- 6 群753075035 (人满)
- 7 群743746109 (人满)
- 8 群1030353265 (人满)
- 开发者群偏闲聊吹水975206796
- 开发者群正式1039761811
### Discord 频道
- [Discord](https://discord.gg/hAVk6tgV36)
## ❤️ Special Thanks
特别感谢所有 Contributors 和插件开发者对 AstrBot 的贡献 ❤️
<a href="https://github.com/AstrBotDevs/AstrBot/graphs/contributors">
<img src="https://contrib.rocks/image?repo=AstrBotDevs/AstrBot&max=300&columns=15" />
</a>
此外,本项目的诞生离不开以下开源项目的帮助:
- [NapNeko/NapCatQQ](https://github.com/NapNeko/NapCatQQ) - 伟大的猫猫框架
开源项目友情链接:
- [NoneBot2](https://github.com/nonebot/nonebot2) - 优秀的 Python 异步 ChatBot 框架
- [Koishi](https://github.com/koishijs/koishi) - 优秀的 Node.js ChatBot 框架
- [MaiBot](https://github.com/Mai-with-u/MaiBot) - 优秀的拟人化 AI ChatBot
- [nekro-agent](https://github.com/KroMiose/nekro-agent) - 优秀的 Agent ChatBot
- [LangBot](https://github.com/langbot-app/LangBot) - 优秀的多平台 AI ChatBot
- [ChatLuna](https://github.com/ChatLunaLab/chatluna) - 优秀的多平台 AI ChatBot Koishi 插件
- [Operit AI](https://github.com/AAswordman/Operit) - 优秀的 AI 智能助手 Android APP
## ⭐ Star History
> [!TIP]
> 如果本项目对您的生活 / 工作产生了帮助,或者您关注本项目的未来发展,请给项目 Star这是我们维护这个开源项目的动力 <3
<div align="center">
[![Star History Chart](https://api.star-history.com/svg?repos=astrbotdevs/astrbot&type=Date)](https://star-history.com/#astrbotdevs/astrbot&Date)
</div>
<div align="center">
_陪伴与能力从来不应该是对立面。我们希望创造的是一个既能理解情绪、给予陪伴,也能可靠完成工作的机器人。_
_私は、高性能ですから!_
<img src="https://files.astrbot.app/watashiwa-koseino-desukara.gif" width="100"/>
</div>

View File

@@ -1,4 +1,3 @@
# ruff: noqa: F401, F403, F811, I001
from astrbot.core.config.astrbot_config import AstrBotConfig
from astrbot import logger
from astrbot.core import html_renderer
@@ -52,4 +51,4 @@ from astrbot.core.platform import (
from astrbot.core.platform.register import register_platform_adapter
from .message_components import *
from .message_components import *

View File

@@ -14,8 +14,6 @@ from astrbot.core.star.register import register_command_group as command_group
from astrbot.core.star.register import register_custom_filter as custom_filter
from astrbot.core.star.register import register_event_message_type as event_message_type
from astrbot.core.star.register import register_llm_tool as llm_tool
from astrbot.core.star.register import register_on_agent_begin as on_agent_begin
from astrbot.core.star.register import register_on_agent_done as on_agent_done
from astrbot.core.star.register import register_on_astrbot_loaded as on_astrbot_loaded
from astrbot.core.star.register import (
register_on_decorating_result as on_decorating_result,
@@ -26,9 +24,6 @@ from astrbot.core.star.register import (
register_on_llm_tool_respond as on_llm_tool_respond,
)
from astrbot.core.star.register import register_on_platform_loaded as on_platform_loaded
from astrbot.core.star.register import register_on_plugin_error as on_plugin_error
from astrbot.core.star.register import register_on_plugin_loaded as on_plugin_loaded
from astrbot.core.star.register import register_on_plugin_unloaded as on_plugin_unloaded
from astrbot.core.star.register import register_on_using_llm_tool as on_using_llm_tool
from astrbot.core.star.register import (
register_on_waiting_llm_request as on_waiting_llm_request,
@@ -53,15 +48,10 @@ __all__ = [
"custom_filter",
"event_message_type",
"llm_tool",
"on_agent_begin",
"on_agent_done",
"on_astrbot_loaded",
"on_decorating_result",
"on_llm_request",
"on_llm_response",
"on_plugin_error",
"on_plugin_loaded",
"on_plugin_unloaded",
"on_platform_loaded",
"on_waiting_llm_request",
"permission_type",

View File

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

View File

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

View File

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

View File

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

View File

@@ -0,0 +1,186 @@
import datetime
import random
import uuid
from collections import defaultdict
from astrbot import logger
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent
from astrbot.api.message_components import At, Image, Plain
from astrbot.api.platform import MessageType
from astrbot.api.provider import LLMResponse, Provider, ProviderRequest
from astrbot.core.astrbot_config_mgr import AstrBotConfigManager
"""
聊天记忆增强
"""
class LongTermMemory:
def __init__(self, acm: AstrBotConfigManager, context: star.Context):
self.acm = acm
self.context = context
self.session_chats = defaultdict(list)
"""记录群成员的群聊记录"""
def cfg(self, event: AstrMessageEvent):
cfg = self.context.get_config(umo=event.unified_msg_origin)
try:
max_cnt = int(cfg["provider_ltm_settings"]["group_message_max_cnt"])
except BaseException as e:
logger.error(e)
max_cnt = 300
image_caption_prompt = cfg["provider_settings"]["image_caption_prompt"]
image_caption_provider_id = cfg["provider_ltm_settings"].get(
"image_caption_provider_id"
)
image_caption = cfg["provider_ltm_settings"]["image_caption"] and bool(
image_caption_provider_id
)
active_reply = cfg["provider_ltm_settings"]["active_reply"]
enable_active_reply = active_reply.get("enable", False)
ar_method = active_reply["method"]
ar_possibility = active_reply["possibility_reply"]
ar_prompt = active_reply.get("prompt", "")
ar_whitelist = active_reply.get("whitelist", [])
ret = {
"max_cnt": max_cnt,
"image_caption": image_caption,
"image_caption_prompt": image_caption_prompt,
"image_caption_provider_id": image_caption_provider_id,
"enable_active_reply": enable_active_reply,
"ar_method": ar_method,
"ar_possibility": ar_possibility,
"ar_prompt": ar_prompt,
"ar_whitelist": ar_whitelist,
}
return ret
async def remove_session(self, event: AstrMessageEvent) -> int:
cnt = 0
if event.unified_msg_origin in self.session_chats:
cnt = len(self.session_chats[event.unified_msg_origin])
del self.session_chats[event.unified_msg_origin]
return cnt
async def get_image_caption(
self,
image_url: str,
image_caption_provider_id: str,
image_caption_prompt: str,
) -> str:
if not image_caption_provider_id:
provider = self.context.get_using_provider()
else:
provider = self.context.get_provider_by_id(image_caption_provider_id)
if not provider:
raise Exception(f"没有找到 ID 为 {image_caption_provider_id} 的提供商")
if not isinstance(provider, Provider):
raise Exception(f"提供商类型错误({type(provider)}),无法获取图片描述")
response = await provider.text_chat(
prompt=image_caption_prompt,
session_id=uuid.uuid4().hex,
image_urls=[image_url],
persist=False,
)
return response.completion_text
async def need_active_reply(self, event: AstrMessageEvent) -> bool:
cfg = self.cfg(event)
if not cfg["enable_active_reply"]:
return False
if event.get_message_type() != MessageType.GROUP_MESSAGE:
return False
if event.is_at_or_wake_command:
# if the message is a command, let it pass
return False
if cfg["ar_whitelist"] and (
event.unified_msg_origin not in cfg["ar_whitelist"]
and (
event.get_group_id() and event.get_group_id() not in cfg["ar_whitelist"]
)
):
return False
match cfg["ar_method"]:
case "possibility_reply":
trig = random.random() < cfg["ar_possibility"]
return trig
return False
async def handle_message(self, event: AstrMessageEvent):
"""仅支持群聊"""
if event.get_message_type() == MessageType.GROUP_MESSAGE:
datetime_str = datetime.datetime.now().strftime("%H:%M:%S")
parts = [f"[{event.message_obj.sender.nickname}/{datetime_str}]: "]
cfg = self.cfg(event)
for comp in event.get_messages():
if isinstance(comp, Plain):
parts.append(f" {comp.text}")
elif isinstance(comp, Image):
if cfg["image_caption"]:
try:
url = comp.url if comp.url else comp.file
if not url:
raise Exception("图片 URL 为空")
caption = await self.get_image_caption(
url,
cfg["image_caption_provider_id"],
cfg["image_caption_prompt"],
)
parts.append(f" [Image: {caption}]")
except Exception as e:
logger.error(f"获取图片描述失败: {e}")
else:
parts.append(" [Image]")
elif isinstance(comp, At):
parts.append(f" [At: {comp.name}]")
final_message = "".join(parts)
logger.debug(f"ltm | {event.unified_msg_origin} | {final_message}")
self.session_chats[event.unified_msg_origin].append(final_message)
if len(self.session_chats[event.unified_msg_origin]) > cfg["max_cnt"]:
self.session_chats[event.unified_msg_origin].pop(0)
async def on_req_llm(self, event: AstrMessageEvent, req: ProviderRequest):
"""当触发 LLM 请求前,调用此方法修改 req"""
if event.unified_msg_origin not in self.session_chats:
return
chats_str = "\n---\n".join(self.session_chats[event.unified_msg_origin])
cfg = self.cfg(event)
if cfg["enable_active_reply"]:
prompt = req.prompt
req.prompt = (
f"You are now in a chatroom. The chat history is as follows:\n{chats_str}"
f"\nNow, a new message is coming: `{prompt}`. "
"Please react to it. Only output your response and do not output any other information. "
"You MUST use the SAME language as the chatroom is using."
)
req.contexts = [] # 清空上下文当使用了主动回复所有聊天记录都在一个prompt中。
else:
req.system_prompt += (
"You are now in a chatroom. The chat history is as follows: \n"
)
req.system_prompt += chats_str
async def after_req_llm(self, event: AstrMessageEvent, llm_resp: LLMResponse):
if event.unified_msg_origin not in self.session_chats:
return
if llm_resp.completion_text:
final_message = f"[You/{datetime.datetime.now().strftime('%H:%M:%S')}]: {llm_resp.completion_text}"
logger.debug(
f"Recorded AI response: {event.unified_msg_origin} | {final_message}"
)
self.session_chats[event.unified_msg_origin].append(final_message)
cfg = self.cfg(event)
if len(self.session_chats[event.unified_msg_origin]) > cfg["max_cnt"]:
self.session_chats[event.unified_msg_origin].pop(0)

View File

@@ -1,196 +1,66 @@
import copy
import traceback
from collections.abc import Iterable
from sys import maxsize
import astrbot.api.message_components as Comp
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, filter
from astrbot.api.message_components import Image, Plain
from astrbot.api.provider import ProviderRequest
from astrbot.api.provider import LLMResponse, ProviderRequest
from astrbot.core import logger
from astrbot.core.utils.session_waiter import (
FILTERS,
USER_SESSIONS,
SessionController,
SessionWaiter,
session_waiter,
)
from .group_chat_context import GroupChatContext
def _iter_message_components(event: AstrMessageEvent):
messages = getattr(getattr(event, "message_obj", None), "message", None)
if not isinstance(messages, Iterable) or isinstance(messages, (str, bytes)):
return ()
return tuple(messages)
from .long_term_memory import LongTermMemory
class Main(star.Star):
def __init__(self, context: star.Context) -> None:
self.context = context
self.group_chat_context = None
self.ltm = None
try:
self.group_chat_context = GroupChatContext(
self.context.astrbot_config_mgr,
self.context,
)
self.ltm = LongTermMemory(self.context.astrbot_config_mgr, self.context)
except BaseException as e:
logger.error(f"group chat context init failed: {e}")
logger.error(f"聊天增强 err: {e}")
@filter.event_message_type(filter.EventMessageType.ALL, priority=maxsize)
async def handle_session_control_agent(self, event: AstrMessageEvent) -> None:
"""会话控制代理"""
for session_filter in FILTERS:
session_id = session_filter.filter(event)
if session_id in USER_SESSIONS:
await SessionWaiter.trigger(session_id, event)
event.stop_event()
@filter.event_message_type(filter.EventMessageType.ALL, priority=maxsize - 1)
async def handle_empty_mention(self, event: AstrMessageEvent):
"""处理只有一个 @ 或仅有唤醒前缀的消息,并等待用户下一条内容。"""
try:
messages = event.get_messages()
cfg = self.context.get_config(umo=event.unified_msg_origin)
p_settings = cfg["platform_settings"]
wake_prefix = cfg.get("wake_prefix", [])
if len(messages) != 1:
return
is_empty_mention = (
isinstance(messages[0], Comp.At)
and str(messages[0].qq) == str(event.get_self_id())
and p_settings.get("empty_mention_waiting", True)
)
is_wake_prefix_only = (
isinstance(messages[0], Comp.Plain)
and messages[0].text.strip() in wake_prefix
)
if not (is_empty_mention or is_wake_prefix_only):
return
if p_settings.get("empty_mention_waiting_need_reply", True):
try:
curr_cid = await self.context.conversation_manager.get_curr_conversation_id(
event.unified_msg_origin,
)
conversation = None
if curr_cid:
conversation = (
await self.context.conversation_manager.get_conversation(
event.unified_msg_origin,
curr_cid,
)
)
else:
curr_cid = (
await self.context.conversation_manager.new_conversation(
event.unified_msg_origin,
platform_id=event.get_platform_id(),
)
)
yield event.request_llm(
prompt=(
"注意,你正在社交媒体上中与用户进行聊天,用户只是通过@来唤醒你,但并未在这条消息中输入内容,他可能会在接下来一条发送他想发送的内容。"
"你友好地询问用户想要聊些什么或者需要什么帮助,回复要符合人设,不要太过机械化。"
"请注意,你仅需要输出要回复用户的内容,不要输出其他任何东西"
),
session_id=curr_cid,
contexts=[],
system_prompt="",
conversation=conversation,
)
except Exception as e:
logger.error(f"LLM response failed: {e!s}")
yield event.plain_result("想要问什么呢?😄")
@session_waiter(60)
async def empty_mention_waiter(
controller: SessionController,
event: AstrMessageEvent,
) -> None:
if not event.message_str or not event.message_str.strip():
return
event.message_obj.message.insert(
0,
Comp.At(qq=event.get_self_id(), name=event.get_self_id()),
)
new_event = copy.copy(event)
self.context.get_event_queue().put_nowait(new_event)
event.stop_event()
controller.stop()
try:
await empty_mention_waiter(event)
except TimeoutError:
pass
except Exception as e:
yield event.plain_result("发生错误,请联系管理员: " + str(e))
finally:
event.stop_event()
except Exception as e:
logger.error("handle_empty_mention error: " + str(e))
def group_context_enabled(self, event: AstrMessageEvent):
group_context_settings = self.context.get_config(umo=event.unified_msg_origin)[
def ltm_enabled(self, event: AstrMessageEvent):
ltmse = self.context.get_config(umo=event.unified_msg_origin)[
"provider_ltm_settings"
]
return (
group_context_settings["group_icl_enable"]
or group_context_settings["active_reply"]["enable"]
)
return ltmse["group_icl_enable"] or ltmse["active_reply"]["enable"]
@filter.platform_adapter_type(filter.PlatformAdapterType.ALL)
async def on_message(self, event: AstrMessageEvent):
"""群聊上下文感知"""
message_components = _iter_message_components(event)
"""群聊记忆增强"""
has_image_or_plain = False
for comp in message_components:
for comp in event.message_obj.message:
if isinstance(comp, Plain) or isinstance(comp, Image):
has_image_or_plain = True
break
group_context_enabled = False
if self.group_chat_context:
try:
group_context_enabled = self.group_context_enabled(event)
except BaseException as e:
logger.error(f"group chat context: {e}")
if self.ltm_enabled(event) and self.ltm and has_image_or_plain:
need_active = await self.ltm.need_active_reply(event)
if group_context_enabled and self.group_chat_context and has_image_or_plain:
need_active = await self.group_chat_context.need_active_reply(event)
group_icl_enable = self.context.get_config(umo=event.unified_msg_origin)[
"provider_ltm_settings"
]["group_icl_enable"]
group_icl_enable = self.context.get_config()["provider_ltm_settings"][
"group_icl_enable"
]
if group_icl_enable:
# Skip recording if a command handler matched (e.g. /reset,
# /help, /new). Slash commands are bot instructions, not group
# chat context that should be injected into future LLM requests.
if not event.get_extra("handlers_parsed_params", {}):
try:
await self.group_chat_context.handle_message(event)
except BaseException as e:
logger.error(e)
"""记录对话"""
try:
await self.ltm.handle_message(event)
except BaseException as e:
logger.error(e)
if need_active:
"""主动回复"""
provider = self.context.get_using_provider(event.unified_msg_origin)
if not provider:
logger.error("未找到任何 LLM 提供商。请先配置。无法主动回复")
return
try:
conv = None
session_curr_cid = await self.context.conversation_manager.get_curr_conversation_id(
event.unified_msg_origin,
)
if not session_curr_cid:
logger.error(
"当前未处于对话状态,无法主动回复,请确保 平台设置->会话隔离(unique_session) 未开启,并使用 /new 创建一个会话。",
"当前未处于对话状态,无法主动回复,请确保 平台设置->会话隔离(unique_session) 未开启,并使用 /switch 序号 切换或者 /new 创建一个会话。",
)
return
@@ -199,23 +69,16 @@ class Main(star.Star):
session_curr_cid,
)
prompt = event.message_str
if not conv:
logger.error("未找到对话,无法主动回复")
return
prompt = event.message_str
image_urls = []
for comp in message_components:
if isinstance(comp, Image):
try:
image_urls.append(await comp.convert_to_file_path())
except Exception:
logger.exception("主动回复处理图片失败")
yield event.request_llm(
prompt=prompt,
func_tool_manager=self.context.get_llm_tool_manager(),
session_id=event.session_id,
image_urls=image_urls,
conversation=conv,
)
except BaseException as e:
@@ -223,23 +86,30 @@ class Main(star.Star):
logger.error(f"主动回复失败: {e}")
@filter.on_llm_request()
async def decorate_llm_req(
self, event: AstrMessageEvent, req: ProviderRequest
) -> None:
async def decorate_llm_req(self, event: AstrMessageEvent, req: ProviderRequest):
"""在请求 LLM 前注入人格信息、Identifier、时间、回复内容等 System Prompt"""
if self.group_chat_context and self.group_context_enabled(event):
if self.ltm and self.ltm_enabled(event):
try:
await self.group_chat_context.on_req_llm(event, req)
await self.ltm.on_req_llm(event, req)
except BaseException as e:
logger.error(f"group chat context: {e}")
logger.error(f"ltm: {e}")
@filter.on_llm_response()
async def record_llm_resp_to_ltm(self, event: AstrMessageEvent, resp: LLMResponse):
"""在 LLM 响应后记录对话"""
if self.ltm and self.ltm_enabled(event):
try:
await self.ltm.after_req_llm(event, resp)
except Exception as e:
logger.error(f"ltm: {e}")
@filter.after_message_sent()
async def after_message_sent(self, event: AstrMessageEvent) -> None:
async def after_message_sent(self, event: AstrMessageEvent):
"""消息发送后处理"""
if self.group_chat_context and self.group_context_enabled(event):
if self.ltm and self.ltm_enabled(event):
try:
clean_session = event.get_extra("_clean_group_context_session", False)
clean_session = event.get_extra("_clean_ltm_session", False)
if clean_session:
await self.group_chat_context.remove_session(event)
await self.ltm.remove_session(event)
except Exception as e:
logger.error(f"group chat context: {e}")
logger.error(f"ltm: {e}")

View File

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

View File

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

View File

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

View File

@@ -1,19 +1,29 @@
# Commands module
from .admin import AdminCommands
from .alter_cmd import AlterCmdCommands
from .conversation import ConversationCommands
from .help import HelpCommand
from .name import NameCommand
from .llm import LLMCommands
from .persona import PersonaCommands
from .plugin import PluginCommands
from .provider import ProviderCommands
from .setunset import SetUnsetCommands
from .sid import SIDCommand
from .t2i import T2ICommand
from .tts import TTSCommand
__all__ = [
"AdminCommands",
"AlterCmdCommands",
"ConversationCommands",
"HelpCommand",
"NameCommand",
"LLMCommands",
"PersonaCommands",
"PluginCommands",
"ProviderCommands",
"SetUnsetCommands",
"SIDCommand",
"SetUnsetCommands",
"T2ICommand",
"TTSCommand",
]

View File

@@ -1,15 +1,77 @@
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, MessageChain
from astrbot.api.event import AstrMessageEvent, MessageChain, MessageEventResult
from astrbot.core.config.default import VERSION
from astrbot.core.utils.io import download_dashboard
class AdminCommands:
def __init__(self, context: star.Context) -> None:
def __init__(self, context: star.Context):
self.context = context
async def update_dashboard(self, event: AstrMessageEvent) -> None:
async def op(self, event: AstrMessageEvent, admin_id: str = ""):
"""授权管理员。op <admin_id>"""
if not admin_id:
event.set_result(
MessageEventResult().message(
"使用方法: /op <id> 授权管理员;/deop <id> 取消管理员。可通过 /sid 获取 ID。",
),
)
return
self.context.get_config()["admins_id"].append(str(admin_id))
self.context.get_config().save_config()
event.set_result(MessageEventResult().message("授权成功。"))
async def deop(self, event: AstrMessageEvent, admin_id: str = ""):
"""取消授权管理员。deop <admin_id>"""
if not admin_id:
event.set_result(
MessageEventResult().message(
"使用方法: /deop <id> 取消管理员。可通过 /sid 获取 ID。",
),
)
return
try:
self.context.get_config()["admins_id"].remove(str(admin_id))
self.context.get_config().save_config()
event.set_result(MessageEventResult().message("取消授权成功。"))
except ValueError:
event.set_result(
MessageEventResult().message("此用户 ID 不在管理员名单内。"),
)
async def wl(self, event: AstrMessageEvent, sid: str = ""):
"""添加白名单。wl <sid>"""
if not sid:
event.set_result(
MessageEventResult().message(
"使用方法: /wl <id> 添加白名单;/dwl <id> 删除白名单。可通过 /sid 获取 ID。",
),
)
return
cfg = self.context.get_config(umo=event.unified_msg_origin)
cfg["platform_settings"]["id_whitelist"].append(str(sid))
cfg.save_config()
event.set_result(MessageEventResult().message("添加白名单成功。"))
async def dwl(self, event: AstrMessageEvent, sid: str = ""):
"""删除白名单。dwl <sid>"""
if not sid:
event.set_result(
MessageEventResult().message(
"使用方法: /dwl <id> 删除白名单。可通过 /sid 获取 ID。",
),
)
return
try:
cfg = self.context.get_config(umo=event.unified_msg_origin)
cfg["platform_settings"]["id_whitelist"].remove(str(sid))
cfg.save_config()
event.set_result(MessageEventResult().message("删除白名单成功。"))
except ValueError:
event.set_result(MessageEventResult().message("此 SID 不在白名单内。"))
async def update_dashboard(self, event: AstrMessageEvent):
"""更新管理面板"""
await event.send(MessageChain().message("⏳ Updating dashboard..."))
await event.send(MessageChain().message("正在尝试更新管理面板..."))
await download_dashboard(version=f"v{VERSION}", latest=False)
await event.send(MessageChain().message("✅ Dashboard updated successfully."))
await event.send(MessageChain().message("管理面板更新完成。"))

View File

@@ -0,0 +1,173 @@
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, MessageChain
from astrbot.core.star.filter.command import CommandFilter
from astrbot.core.star.filter.command_group import CommandGroupFilter
from astrbot.core.star.filter.permission import PermissionTypeFilter
from astrbot.core.star.star import star_map
from astrbot.core.star.star_handler import StarHandlerMetadata, star_handlers_registry
from astrbot.core.utils.command_parser import CommandParserMixin
from .utils.rst_scene import RstScene
class AlterCmdCommands(CommandParserMixin):
def __init__(self, context: star.Context):
self.context = context
async def update_reset_permission(self, scene_key: str, perm_type: str):
"""更新reset命令在特定场景下的权限设置"""
from astrbot.api import sp
alter_cmd_cfg = await sp.global_get("alter_cmd", {})
plugin_cfg = alter_cmd_cfg.get("astrbot", {})
reset_cfg = plugin_cfg.get("reset", {})
reset_cfg[scene_key] = perm_type
plugin_cfg["reset"] = reset_cfg
alter_cmd_cfg["astrbot"] = plugin_cfg
await sp.global_put("alter_cmd", alter_cmd_cfg)
async def alter_cmd(self, event: AstrMessageEvent):
token = self.parse_commands(event.message_str)
if token.len < 3:
await event.send(
MessageChain().message(
"该指令用于设置指令或指令组的权限。\n"
"格式: /alter_cmd <cmd_name> <admin/member>\n"
"例1: /alter_cmd c1 admin 将 c1 设为管理员指令\n"
"例2: /alter_cmd g1 c1 admin 将 g1 指令组的 c1 子指令设为管理员指令\n"
"/alter_cmd reset config 打开 reset 权限配置",
),
)
return
# 兼容 reset scene 的专门配置
cmd_name = token.get(1)
cmd_type = token.get(2)
if cmd_name == "reset" and cmd_type == "config":
from astrbot.api import sp
alter_cmd_cfg = await sp.global_get("alter_cmd", {})
plugin_ = alter_cmd_cfg.get("astrbot", {})
reset_cfg = plugin_.get("reset", {})
group_unique_on = reset_cfg.get("group_unique_on", "admin")
group_unique_off = reset_cfg.get("group_unique_off", "admin")
private = reset_cfg.get("private", "member")
config_menu = f"""reset命令权限细粒度配置
当前配置:
1. 群聊+会话隔离开: {group_unique_on}
2. 群聊+会话隔离关: {group_unique_off}
3. 私聊: {private}
修改指令格式:
/alter_cmd reset scene <场景编号> <admin/member>
例如: /alter_cmd reset scene 2 member"""
await event.send(MessageChain().message(config_menu))
return
if cmd_name == "reset" and cmd_type == "scene" and token.len >= 4:
scene_num = token.get(3)
perm_type = token.get(4)
if scene_num is None or perm_type is None:
await event.send(MessageChain().message("场景编号和权限类型不能为空"))
return
if not scene_num.isdigit() or int(scene_num) < 1 or int(scene_num) > 3:
await event.send(
MessageChain().message("场景编号必须是 1-3 之间的数字"),
)
return
if perm_type not in ["admin", "member"]:
await event.send(
MessageChain().message("权限类型错误,只能是 admin 或 member"),
)
return
scene_num = int(scene_num)
scene = RstScene.from_index(scene_num)
scene_key = scene.key
await self.update_reset_permission(scene_key, perm_type)
await event.send(
MessageChain().message(
f"已将 reset 命令在{scene.name}场景下的权限设为{perm_type}",
),
)
return
if cmd_type not in ["admin", "member"]:
await event.send(
MessageChain().message("指令类型错误,可选类型有 admin, member"),
)
return
# 查找指令
cmd_name = " ".join(token.tokens[1:-1])
cmd_type = token.get(-1)
found_command = None
cmd_group = False
for handler in star_handlers_registry:
assert isinstance(handler, StarHandlerMetadata)
for filter_ in handler.event_filters:
if isinstance(filter_, CommandFilter):
if filter_.equals(cmd_name):
found_command = handler
break
elif isinstance(filter_, CommandGroupFilter):
if filter_.equals(cmd_name):
found_command = handler
cmd_group = True
break
if not found_command:
await event.send(MessageChain().message("未找到该指令"))
return
found_plugin = star_map[found_command.handler_module_path]
from astrbot.api import sp
alter_cmd_cfg = await sp.global_get("alter_cmd", {})
plugin_ = alter_cmd_cfg.get(found_plugin.name, {})
cfg = plugin_.get(found_command.handler_name, {})
cfg["permission"] = cmd_type
plugin_[found_command.handler_name] = cfg
alter_cmd_cfg[found_plugin.name] = plugin_
await sp.global_put("alter_cmd", alter_cmd_cfg)
# 注入权限过滤器
found_permission_filter = False
for filter_ in found_command.event_filters:
if isinstance(filter_, PermissionTypeFilter):
if cmd_type == "admin":
from astrbot.api.event import filter
filter_.permission_type = filter.PermissionType.ADMIN
else:
from astrbot.api.event import filter
filter_.permission_type = filter.PermissionType.MEMBER
found_permission_filter = True
break
if not found_permission_filter:
from astrbot.api.event import filter
found_command.event_filters.insert(
0,
PermissionTypeFilter(
filter.PermissionType.ADMIN
if cmd_type == "admin"
else filter.PermissionType.MEMBER,
),
)
cmd_group_str = "指令组" if cmd_group else "指令"
await event.send(
MessageChain().message(
f"已将「{cmd_name}{cmd_group_str} 的权限级别调整为 {cmd_type}",
),
)

View File

@@ -1,17 +1,9 @@
from sqlalchemy import case, func, select
from sqlmodel import col
import datetime
from astrbot.api import sp, star
from astrbot.api.event import AstrMessageEvent, MessageEventResult
from astrbot.core import logger
from astrbot.core.agent.runners.deerflow.constants import (
DEERFLOW_AGENT_RUNNER_PROVIDER_ID_KEY,
DEERFLOW_PROVIDER_TYPE,
DEERFLOW_THREAD_ID_KEY,
)
from astrbot.core.agent.runners.deerflow.deerflow_api_client import DeerFlowAPIClient
from astrbot.core.db.po import ProviderStat
from astrbot.core.utils.active_event_registry import active_event_registry
from astrbot.core.platform.astr_message_event import MessageSession
from astrbot.core.platform.message_type import MessageType
from .utils.rst_scene import RstScene
@@ -19,92 +11,12 @@ THIRD_PARTY_AGENT_RUNNER_KEY = {
"dify": "dify_conversation_id",
"coze": "coze_conversation_id",
"dashscope": "dashscope_conversation_id",
DEERFLOW_PROVIDER_TYPE: DEERFLOW_THREAD_ID_KEY,
}
THIRD_PARTY_AGENT_RUNNER_STR = ", ".join(THIRD_PARTY_AGENT_RUNNER_KEY.keys())
async def _cleanup_deerflow_thread_if_present(
context: star.Context,
umo: str,
) -> None:
try:
thread_id = await sp.get_async(
scope="umo",
scope_id=umo,
key=DEERFLOW_THREAD_ID_KEY,
default="",
)
if not thread_id:
return
cfg = context.get_config(umo=umo)
provider_id = cfg["provider_settings"].get(
DEERFLOW_AGENT_RUNNER_PROVIDER_ID_KEY,
"",
)
if not provider_id:
return
merged_provider_config = context.provider_manager.get_provider_config_by_id(
provider_id,
merged=True,
)
if not merged_provider_config:
logger.warning(
"Failed to resolve DeerFlow provider config for remote thread cleanup: provider_id=%s",
provider_id,
)
return
client = DeerFlowAPIClient(
api_base=merged_provider_config.get(
"deerflow_api_base",
"http://127.0.0.1:2026",
),
api_key=merged_provider_config.get("deerflow_api_key", ""),
auth_header=merged_provider_config.get("deerflow_auth_header", ""),
proxy=merged_provider_config.get("proxy", ""),
)
try:
await client.delete_thread(thread_id)
finally:
try:
await client.close()
except Exception as e:
logger.warning(
"Failed to close DeerFlow API client after thread cleanup: %s",
e,
)
except Exception as e:
logger.warning(
"Failed to clean up DeerFlow thread for session %s: %s",
umo,
e,
)
async def _clear_third_party_agent_runner_state(
context: star.Context,
umo: str,
agent_runner_type: str,
) -> None:
session_key = THIRD_PARTY_AGENT_RUNNER_KEY.get(agent_runner_type)
if not session_key:
return
if agent_runner_type == DEERFLOW_PROVIDER_TYPE:
await _cleanup_deerflow_thread_if_present(context, umo)
await sp.remove_async(
scope="umo",
scope_id=umo,
key=session_key,
)
class ConversationCommands:
def __init__(self, context: star.Context) -> None:
def __init__(self, context: star.Context):
self.context = context
async def _get_current_persona_id(self, session_id):
@@ -121,7 +33,7 @@ class ConversationCommands:
return None
return conv.persona_id
async def reset(self, message: AstrMessageEvent) -> None:
async def reset(self, message: AstrMessageEvent):
"""重置 LLM 会话"""
umo = message.unified_msg_origin
cfg = self.context.get_config(umo=message.unified_msg_origin)
@@ -142,30 +54,25 @@ class ConversationCommands:
if required_perm == "admin" and message.role != "admin":
message.set_result(
MessageEventResult().message(
f"Reset command requires admin permission in {scene.name} scenario, "
f"you (ID {message.get_sender_id()}) are not admin, cannot perform this action.",
f"{scene.name}场景下reset命令需要管理员权限"
f" (ID {message.get_sender_id()}) 不是管理员,无法执行此操作。",
),
)
return
agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
active_event_registry.stop_all(umo, exclude=message)
await _clear_third_party_agent_runner_state(
self.context,
umo,
agent_runner_type,
)
message.set_result(
MessageEventResult().message("✅ Conversation reset successfully.")
await sp.remove_async(
scope="umo",
scope_id=umo,
key=THIRD_PARTY_AGENT_RUNNER_KEY[agent_runner_type],
)
message.set_result(MessageEventResult().message("重置对话成功。"))
return
if not self.context.get_using_provider(umo):
message.set_result(
MessageEventResult().message(
"😕 Cannot find any LLM provider. Configure one first."
),
MessageEventResult().message("未找到任何 LLM 提供商。请先配置。"),
)
return
@@ -174,68 +81,154 @@ class ConversationCommands:
if not cid:
message.set_result(
MessageEventResult().message(
"😕 You are not in a conversation. Use /new to create one.",
"当前未处于对话状态,请 /switch 切换或者 /new 创建。",
),
)
return
active_event_registry.stop_all(umo, exclude=message)
await self.context.conversation_manager.update_conversation(
umo,
cid,
[],
)
ret = "✅ Conversation reset successfully."
ret = "清除聊天历史成功!"
message.set_extra("_clean_group_context_session", True)
message.set_extra("_clean_ltm_session", True)
message.set_result(MessageEventResult().message(ret))
async def stop(self, message: AstrMessageEvent) -> None:
"""停止当前会话正在运行的 Agent"""
cfg = self.context.get_config(umo=message.unified_msg_origin)
agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
umo = message.unified_msg_origin
if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
stopped_count = active_event_registry.stop_all(umo, exclude=message)
else:
stopped_count = active_event_registry.request_agent_stop_all(
umo,
exclude=message,
)
if stopped_count > 0:
async def his(self, message: AstrMessageEvent, page: int = 1):
"""查看对话记录"""
if not self.context.get_using_provider(message.unified_msg_origin):
message.set_result(
MessageEventResult().message(
f"✅ Requested to stop {stopped_count} running tasks."
)
MessageEventResult().message("未找到任何 LLM 提供商。请先配置。"),
)
return
message.set_result(
MessageEventResult().message("✅ No running tasks in the current session.")
size_per_page = 6
conv_mgr = self.context.conversation_manager
umo = message.unified_msg_origin
session_curr_cid = await conv_mgr.get_curr_conversation_id(umo)
if not session_curr_cid:
session_curr_cid = await conv_mgr.new_conversation(
umo,
message.get_platform_id(),
)
contexts, total_pages = await conv_mgr.get_human_readable_context(
umo,
session_curr_cid,
page,
size_per_page,
)
async def new_conv(self, message: AstrMessageEvent) -> None:
parts = []
for context in contexts:
if len(context) > 150:
context = context[:150] + "..."
parts.append(f"{context}\n")
history = "".join(parts)
ret = (
f"当前对话历史记录:"
f"{history or '无历史记录'}\n\n"
f"{page} 页 | 共 {total_pages}\n"
f"*输入 /history 2 跳转到第 2 页"
)
message.set_result(MessageEventResult().message(ret).use_t2i(False))
async def convs(self, message: AstrMessageEvent, page: int = 1):
"""查看对话列表"""
cfg = self.context.get_config(umo=message.unified_msg_origin)
agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
message.set_result(
MessageEventResult().message(
f"{THIRD_PARTY_AGENT_RUNNER_STR} 对话列表功能暂不支持。",
),
)
return
size_per_page = 6
"""获取所有对话列表"""
conversations_all = await self.context.conversation_manager.get_conversations(
message.unified_msg_origin,
)
"""计算总页数"""
total_pages = (len(conversations_all) + size_per_page - 1) // size_per_page
"""确保页码有效"""
page = max(1, min(page, total_pages))
"""分页处理"""
start_idx = (page - 1) * size_per_page
end_idx = start_idx + size_per_page
conversations_paged = conversations_all[start_idx:end_idx]
parts = ["对话列表:\n---\n"]
"""全局序号从当前页的第一个开始"""
global_index = start_idx + 1
"""生成所有对话的标题字典"""
_titles = {}
for conv in conversations_all:
title = conv.title if conv.title else "新对话"
_titles[conv.cid] = title
"""遍历分页后的对话生成列表显示"""
for conv in conversations_paged:
persona_id = conv.persona_id
if not persona_id or persona_id == "[%None]":
persona = await self.context.persona_manager.get_default_persona_v3(
umo=message.unified_msg_origin,
)
persona_id = persona["name"]
title = _titles.get(conv.cid, "新对话")
parts.append(
f"{global_index}. {title}({conv.cid[:4]})\n 人格情景: {persona_id}\n 上次更新: {datetime.datetime.fromtimestamp(conv.updated_at).strftime('%m-%d %H:%M')}\n"
)
global_index += 1
parts.append("---\n")
ret = "".join(parts)
curr_cid = await self.context.conversation_manager.get_curr_conversation_id(
message.unified_msg_origin,
)
if curr_cid:
"""从所有对话的标题字典中获取标题"""
title = _titles.get(curr_cid, "新对话")
ret += f"\n当前对话: {title}({curr_cid[:4]})"
else:
ret += "\n当前对话: 无"
cfg = self.context.get_config(umo=message.unified_msg_origin)
unique_session = cfg["platform_settings"]["unique_session"]
if unique_session:
ret += "\n会话隔离粒度: 个人"
else:
ret += "\n会话隔离粒度: 群聊"
ret += f"\n{page} 页 | 共 {total_pages}"
ret += "\n*输入 /ls 2 跳转到第 2 页"
message.set_result(MessageEventResult().message(ret).use_t2i(False))
return
async def new_conv(self, message: AstrMessageEvent):
"""创建新对话"""
cfg = self.context.get_config(umo=message.unified_msg_origin)
agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
active_event_registry.stop_all(message.unified_msg_origin, exclude=message)
await _clear_third_party_agent_runner_state(
self.context,
message.unified_msg_origin,
agent_runner_type,
)
message.set_result(
MessageEventResult().message("✅ New conversation created.")
await sp.remove_async(
scope="umo",
scope_id=message.unified_msg_origin,
key=THIRD_PARTY_AGENT_RUNNER_KEY[agent_runner_type],
)
message.set_result(MessageEventResult().message("已创建新对话。"))
return
active_event_registry.stop_all(message.unified_msg_origin, exclude=message)
cpersona = await self._get_current_persona_id(message.unified_msg_origin)
cid = await self.context.conversation_manager.new_conversation(
message.unified_msg_origin,
@@ -243,69 +236,131 @@ class ConversationCommands:
persona_id=cpersona,
)
message.set_extra("_clean_group_context_session", True)
message.set_extra("_clean_ltm_session", True)
message.set_result(
MessageEventResult().message(
f"✅ Switched to new conversation: {cid[:4]}"
),
MessageEventResult().message(f"切换到新对话: 新对话({cid[:4]})。"),
)
async def stats(self, message: AstrMessageEvent) -> None:
"""Show token usage statistics for the current conversation."""
umo = message.unified_msg_origin
cid = await self.context.conversation_manager.get_curr_conversation_id(umo)
async def groupnew_conv(self, message: AstrMessageEvent, sid: str = ""):
"""创建新群聊对话"""
if sid:
session = str(
MessageSession(
platform_name=message.platform_meta.id,
message_type=MessageType("GroupMessage"),
session_id=sid,
),
)
if not cid:
cpersona = await self._get_current_persona_id(session)
cid = await self.context.conversation_manager.new_conversation(
session,
message.get_platform_id(),
persona_id=cpersona,
)
message.set_result(
MessageEventResult().message(
"❌ You are not in a conversation. Use /new to create one."
f"群聊 {session} 已切换到新对话: 新对话({cid[:4]})。",
),
)
else:
message.set_result(
MessageEventResult().message("请输入群聊 ID。/groupnew 群聊ID。"),
)
async def switch_conv(
self,
message: AstrMessageEvent,
index: int | None = None,
):
"""通过 /ls 前面的序号切换对话"""
if not isinstance(index, int):
message.set_result(
MessageEventResult().message("类型错误,请输入数字对话序号。"),
)
return
if index is None:
message.set_result(
MessageEventResult().message(
"请输入对话序号。/switch 对话序号。/ls 查看对话 /new 新建对话",
),
)
return
conversations = await self.context.conversation_manager.get_conversations(
message.unified_msg_origin,
)
if index > len(conversations) or index < 1:
message.set_result(
MessageEventResult().message("对话序号错误,请使用 /ls 查看"),
)
else:
conversation = conversations[index - 1]
title = conversation.title if conversation.title else "新对话"
await self.context.conversation_manager.switch_conversation(
message.unified_msg_origin,
conversation.cid,
)
message.set_result(
MessageEventResult().message(
f"切换到对话: {title}({conversation.cid[:4]})。",
),
)
async def rename_conv(self, message: AstrMessageEvent, new_name: str = ""):
"""重命名对话"""
if not new_name:
message.set_result(MessageEventResult().message("请输入新的对话名称。"))
return
await self.context.conversation_manager.update_conversation_title(
message.unified_msg_origin,
new_name,
)
message.set_result(MessageEventResult().message("重命名对话成功。"))
async def del_conv(self, message: AstrMessageEvent):
"""删除当前对话"""
cfg = self.context.get_config(umo=message.unified_msg_origin)
is_unique_session = cfg["platform_settings"]["unique_session"]
if message.get_group_id() and not is_unique_session and message.role != "admin":
# 群聊,没开独立会话,发送人不是管理员
message.set_result(
MessageEventResult().message(
f"会话处于群聊,并且未开启独立会话,并且您 (ID {message.get_sender_id()}) 不是管理员,因此没有权限删除当前对话。",
),
)
return
db = self.context.get_db()
async with db.get_db() as session:
result = await session.execute(
select(
func.count(case((col(ProviderStat.id).is_not(None), 1))).label(
"record_count",
),
func.coalesce(func.sum(ProviderStat.token_input_other), 0).label(
"total_input_other",
),
func.coalesce(func.sum(ProviderStat.token_input_cached), 0).label(
"total_input_cached",
),
func.coalesce(func.sum(ProviderStat.token_output), 0).label(
"total_output",
),
).where(
col(ProviderStat.agent_type) == "internal",
col(ProviderStat.conversation_id) == cid,
)
agent_runner_type = cfg["provider_settings"]["agent_runner_type"]
if agent_runner_type in THIRD_PARTY_AGENT_RUNNER_KEY:
await sp.remove_async(
scope="umo",
scope_id=message.unified_msg_origin,
key=THIRD_PARTY_AGENT_RUNNER_KEY[agent_runner_type],
)
stats = result.one()
message.set_result(MessageEventResult().message("重置对话成功。"))
return
if stats.record_count == 0:
session_curr_cid = (
await self.context.conversation_manager.get_curr_conversation_id(
message.unified_msg_origin,
)
)
if not session_curr_cid:
message.set_result(
MessageEventResult().message(
"📊 No stats available for this conversation yet."
"当前未处于对话状态,请 /switch 序号 切换或 /new 创建。",
),
)
return
total_input_other = stats.total_input_other
total_input_cached = stats.total_input_cached
total_output = stats.total_output
total_tokens = total_input_other + total_input_cached + total_output
ret = (
f"📊 Conversation Token usage (ID: {cid[:8]}...)\n"
f"Total: {total_tokens:,}\n"
f"Input (cached): {total_input_cached:,}\n"
f"Input (other): {total_input_other:,}\n"
f"Output: {total_output:,}\n"
await self.context.conversation_manager.delete_conversation(
message.unified_msg_origin,
session_curr_cid,
)
ret = "删除当前对话成功。不再处于对话状态,使用 /switch 序号 切换到其他对话或 /new 创建。"
message.set_extra("_clean_ltm_session", True)
message.set_result(MessageEventResult().message(ret))

View File

@@ -8,7 +8,7 @@ from astrbot.core.utils.io import get_dashboard_version
class HelpCommand:
def __init__(self, context: star.Context) -> None:
def __init__(self, context: star.Context):
self.context = context
async def _query_astrbot_notice(self):
@@ -32,8 +32,9 @@ class HelpCommand:
return []
lines: list[str] = []
hidden_commands = {"set", "unset", "websearch"}
def walk(items: list[dict], indent: int = 0) -> None:
def walk(items: list[dict], indent: int = 0):
for item in items:
if not item.get("reserved") or not item.get("enabled"):
continue
@@ -48,12 +49,9 @@ class HelpCommand:
or item.get("original_command")
or item.get("handler_name")
)
if not effective or effective in [
"set",
"unset",
"help",
"dashboard_update",
]:
if not effective:
continue
if effective in hidden_commands:
continue
description = item.get("description") or ""
@@ -64,7 +62,7 @@ class HelpCommand:
walk(commands)
return lines
async def help(self, event: AstrMessageEvent) -> None:
async def help(self, event: AstrMessageEvent):
"""查看帮助"""
notice = ""
try:
@@ -75,13 +73,12 @@ class HelpCommand:
dashboard_version = await get_dashboard_version()
command_lines = await self._build_reserved_command_lines()
commands_section = (
"\n".join(command_lines)
if command_lines
else "No enabled built-in commands."
"\n".join(command_lines) if command_lines else "暂无启用的内置指令"
)
msg_parts = [
f"AstrBot v{VERSION}(WebUI: {dashboard_version})",
"内置指令:",
commands_section,
]
if notice:

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@@ -0,0 +1,20 @@
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, MessageChain
class LLMCommands:
def __init__(self, context: star.Context):
self.context = context
async def llm(self, event: AstrMessageEvent):
"""开启/关闭 LLM"""
cfg = self.context.get_config(umo=event.unified_msg_origin)
enable = cfg["provider_settings"].get("enable", True)
if enable:
cfg["provider_settings"]["enable"] = False
status = "关闭"
else:
cfg["provider_settings"]["enable"] = True
status = "开启"
cfg.save_config()
await event.send(MessageChain().message(f"{status} LLM 聊天功能。"))

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

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@@ -0,0 +1,204 @@
import builtins
from typing import TYPE_CHECKING
from astrbot.api import sp, star
from astrbot.api.event import AstrMessageEvent, MessageEventResult
if TYPE_CHECKING:
from astrbot.core.db.po import Persona
class PersonaCommands:
def __init__(self, context: star.Context):
self.context = context
def _build_tree_output(
self,
folder_tree: list[dict],
all_personas: list["Persona"],
depth: int = 0,
) -> list[str]:
"""递归构建树状输出,使用短线条表示层级"""
lines: list[str] = []
# 使用短线条作为缩进前缀,每层只用 "│" 加一个空格
prefix = "" * depth
for folder in folder_tree:
# 输出文件夹
lines.append(f"{prefix}├ 📁 {folder['name']}/")
# 获取该文件夹下的人格
folder_personas = [
p for p in all_personas if p.folder_id == folder["folder_id"]
]
child_prefix = "" * (depth + 1)
# 输出该文件夹下的人格
for persona in folder_personas:
lines.append(f"{child_prefix}├ 👤 {persona.persona_id}")
# 递归处理子文件夹
children = folder.get("children", [])
if children:
lines.extend(
self._build_tree_output(
children,
all_personas,
depth + 1,
)
)
return lines
async def persona(self, message: AstrMessageEvent):
l = message.message_str.split(" ") # noqa: E741
umo = message.unified_msg_origin
curr_persona_name = ""
cid = await self.context.conversation_manager.get_curr_conversation_id(umo)
default_persona = await self.context.persona_manager.get_default_persona_v3(
umo=umo,
)
force_applied_persona_id = (
await sp.get_async(
scope="umo", scope_id=umo, key="session_service_config", default={}
)
).get("persona_id")
curr_cid_title = ""
if cid:
conv = await self.context.conversation_manager.get_conversation(
unified_msg_origin=umo,
conversation_id=cid,
create_if_not_exists=True,
)
if conv is None:
message.set_result(
MessageEventResult().message(
"当前对话不存在,请先使用 /new 新建一个对话。",
),
)
return
if not conv.persona_id and conv.persona_id != "[%None]":
curr_persona_name = default_persona["name"]
else:
curr_persona_name = conv.persona_id
if force_applied_persona_id:
curr_persona_name = f"{curr_persona_name} (自定义规则)"
curr_cid_title = conv.title if conv.title else "新对话"
curr_cid_title += f"({cid[:4]})"
if len(l) == 1:
message.set_result(
MessageEventResult()
.message(
f"""[Persona]
- 人格情景列表: `/persona list`
- 设置人格情景: `/persona 人格`
- 人格情景详细信息: `/persona view 人格`
- 取消人格: `/persona unset`
默认人格情景: {default_persona["name"]}
当前对话 {curr_cid_title} 的人格情景: {curr_persona_name}
配置人格情景请前往管理面板-配置页
""",
)
.use_t2i(False),
)
elif l[1] == "list":
# 获取文件夹树和所有人格
folder_tree = await self.context.persona_manager.get_folder_tree()
all_personas = self.context.persona_manager.personas
lines = ["📂 人格列表:\n"]
# 构建树状输出
tree_lines = self._build_tree_output(folder_tree, all_personas)
lines.extend(tree_lines)
# 输出根目录下的人格(没有文件夹的)
root_personas = [p for p in all_personas if p.folder_id is None]
if root_personas:
if tree_lines: # 如果有文件夹内容,加个空行
lines.append("")
for persona in root_personas:
lines.append(f"👤 {persona.persona_id}")
# 统计信息
total_count = len(all_personas)
lines.append(f"\n{total_count} 个人格")
lines.append("\n*使用 `/persona <人格名>` 设置人格")
lines.append("*使用 `/persona view <人格名>` 查看详细信息")
msg = "\n".join(lines)
message.set_result(MessageEventResult().message(msg).use_t2i(False))
elif l[1] == "view":
if len(l) == 2:
message.set_result(MessageEventResult().message("请输入人格情景名"))
return
ps = l[2].strip()
if persona := next(
builtins.filter(
lambda persona: persona["name"] == ps,
self.context.provider_manager.personas,
),
None,
):
msg = f"人格{ps}的详细信息:\n"
msg += f"{persona['prompt']}\n"
else:
msg = f"人格{ps}不存在"
message.set_result(MessageEventResult().message(msg))
elif l[1] == "unset":
if not cid:
message.set_result(
MessageEventResult().message("当前没有对话,无法取消人格。"),
)
return
await self.context.conversation_manager.update_conversation_persona_id(
message.unified_msg_origin,
"[%None]",
)
message.set_result(MessageEventResult().message("取消人格成功。"))
else:
ps = "".join(l[1:]).strip()
if not cid:
message.set_result(
MessageEventResult().message(
"当前没有对话,请先开始对话或使用 /new 创建一个对话。",
),
)
return
if persona := next(
builtins.filter(
lambda persona: persona["name"] == ps,
self.context.provider_manager.personas,
),
None,
):
await self.context.conversation_manager.update_conversation_persona_id(
message.unified_msg_origin,
ps,
)
force_warn_msg = ""
if force_applied_persona_id:
force_warn_msg = (
"提醒:由于自定义规则,您现在切换的人格将不会生效。"
)
message.set_result(
MessageEventResult().message(
f"设置成功。如果您正在切换到不同的人格,请注意使用 /reset 来清空上下文,防止原人格对话影响现人格。{force_warn_msg}",
),
)
else:
message.set_result(
MessageEventResult().message(
"不存在该人格情景。使用 /persona list 查看所有。",
),
)

View File

@@ -0,0 +1,120 @@
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, MessageEventResult
from astrbot.core import DEMO_MODE, logger
from astrbot.core.star.filter.command import CommandFilter
from astrbot.core.star.filter.command_group import CommandGroupFilter
from astrbot.core.star.star_handler import StarHandlerMetadata, star_handlers_registry
from astrbot.core.star.star_manager import PluginManager
class PluginCommands:
def __init__(self, context: star.Context):
self.context = context
async def plugin_ls(self, event: AstrMessageEvent):
"""获取已经安装的插件列表。"""
parts = ["已加载的插件:\n"]
for plugin in self.context.get_all_stars():
line = f"- `{plugin.name}` By {plugin.author}: {plugin.desc}"
if not plugin.activated:
line += " (未启用)"
parts.append(line + "\n")
if len(parts) == 1:
plugin_list_info = "没有加载任何插件。"
else:
plugin_list_info = "".join(parts)
plugin_list_info += "\n使用 /plugin help <插件名> 查看插件帮助和加载的指令。\n使用 /plugin on/off <插件名> 启用或者禁用插件。"
event.set_result(
MessageEventResult().message(f"{plugin_list_info}").use_t2i(False),
)
async def plugin_off(self, event: AstrMessageEvent, plugin_name: str = ""):
"""禁用插件"""
if DEMO_MODE:
event.set_result(MessageEventResult().message("演示模式下无法禁用插件。"))
return
if not plugin_name:
event.set_result(
MessageEventResult().message("/plugin off <插件名> 禁用插件。"),
)
return
await self.context._star_manager.turn_off_plugin(plugin_name) # type: ignore
event.set_result(MessageEventResult().message(f"插件 {plugin_name} 已禁用。"))
async def plugin_on(self, event: AstrMessageEvent, plugin_name: str = ""):
"""启用插件"""
if DEMO_MODE:
event.set_result(MessageEventResult().message("演示模式下无法启用插件。"))
return
if not plugin_name:
event.set_result(
MessageEventResult().message("/plugin on <插件名> 启用插件。"),
)
return
await self.context._star_manager.turn_on_plugin(plugin_name) # type: ignore
event.set_result(MessageEventResult().message(f"插件 {plugin_name} 已启用。"))
async def plugin_get(self, event: AstrMessageEvent, plugin_repo: str = ""):
"""安装插件"""
if DEMO_MODE:
event.set_result(MessageEventResult().message("演示模式下无法安装插件。"))
return
if not plugin_repo:
event.set_result(
MessageEventResult().message("/plugin get <插件仓库地址> 安装插件"),
)
return
logger.info(f"准备从 {plugin_repo} 安装插件。")
if self.context._star_manager:
star_mgr: PluginManager = self.context._star_manager
try:
await star_mgr.install_plugin(plugin_repo) # type: ignore
event.set_result(MessageEventResult().message("安装插件成功。"))
except Exception as e:
logger.error(f"安装插件失败: {e}")
event.set_result(MessageEventResult().message(f"安装插件失败: {e}"))
return
async def plugin_help(self, event: AstrMessageEvent, plugin_name: str = ""):
"""获取插件帮助"""
if not plugin_name:
event.set_result(
MessageEventResult().message("/plugin help <插件名> 查看插件信息。"),
)
return
plugin = self.context.get_registered_star(plugin_name)
if plugin is None:
event.set_result(MessageEventResult().message("未找到此插件。"))
return
help_msg = ""
help_msg += f"\n\n✨ 作者: {plugin.author}\n✨ 版本: {plugin.version}"
command_handlers = []
command_names = []
for handler in star_handlers_registry:
assert isinstance(handler, StarHandlerMetadata)
if handler.handler_module_path != plugin.module_path:
continue
for filter_ in handler.event_filters:
if isinstance(filter_, CommandFilter):
command_handlers.append(handler)
command_names.append(filter_.command_name)
break
if isinstance(filter_, CommandGroupFilter):
command_handlers.append(handler)
command_names.append(filter_.group_name)
if len(command_handlers) > 0:
parts = ["\n\n🔧 指令列表:\n"]
for i in range(len(command_handlers)):
line = f"- {command_names[i]}"
if command_handlers[i].desc:
line += f": {command_handlers[i].desc}"
parts.append(line + "\n")
parts.append("\nTip: 指令的触发需要添加唤醒前缀,默认为 /。")
help_msg += "".join(parts)
ret = f"🧩 插件 {plugin_name} 帮助信息:\n" + help_msg
ret += "更多帮助信息请查看插件仓库 README。"
event.set_result(MessageEventResult().message(ret).use_t2i(False))

View File

@@ -1,16 +1,14 @@
from __future__ import annotations
import asyncio
import re
from astrbot import logger
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, MessageEventResult
from astrbot.core.provider.entities import ProviderType
from astrbot.core.utils.error_redaction import safe_error
class ProviderCommands:
def __init__(self, context: star.Context) -> None:
def __init__(self, context: star.Context):
self.context = context
def _log_reachability_failure(
@@ -19,7 +17,8 @@ class ProviderCommands:
provider_capability_type: ProviderType | None,
err_code: str,
err_reason: str,
) -> None:
):
"""记录不可达原因到日志。"""
meta = provider.meta()
logger.warning(
"Provider reachability check failed: id=%s type=%s code=%s reason=%s",
@@ -30,6 +29,7 @@ class ProviderCommands:
)
async def _test_provider_capability(self, provider):
"""测试单个 provider 的可用性"""
meta = provider.meta()
provider_capability_type = meta.provider_type
@@ -38,164 +38,153 @@ class ProviderCommands:
return True, None, None
except Exception as e:
err_code = "TEST_FAILED"
err_reason = safe_error("", e)
err_reason = str(e)
self._log_reachability_failure(
provider, provider_capability_type, err_code, err_reason
)
return False, err_code, err_reason
async def _build_provider_display_data(
self,
providers,
provider_type: str,
reachability_check_enabled: bool,
) -> list[dict]:
if not providers:
return []
if reachability_check_enabled:
check_results = await asyncio.gather(
*[self._test_provider_capability(provider) for provider in providers],
return_exceptions=True,
)
else:
check_results = [None for _ in providers]
display_data = []
for provider, reachable in zip(providers, check_results):
meta = provider.meta()
id_ = meta.id
error_code = None
if isinstance(reachable, asyncio.CancelledError):
raise reachable
if isinstance(reachable, Exception):
self._log_reachability_failure(
provider,
None,
reachable.__class__.__name__,
safe_error("", reachable),
)
reachable_flag = False
error_code = reachable.__class__.__name__
elif isinstance(reachable, tuple):
reachable_flag, error_code, _ = reachable
else:
reachable_flag = reachable
if provider_type == "llm":
info = f"{id_} ({meta.model})"
else:
info = f"{id_}"
if reachable_flag is True:
mark = ""
elif reachable_flag is False:
if error_code:
mark = f" ❌(errcode: {error_code})"
else:
mark = ""
else:
mark = ""
display_data.append(
{
"info": info,
"mark": mark,
"provider": provider,
}
)
return display_data
async def provider(
self,
event: AstrMessageEvent,
idx: str | int | None = None,
idx2: int | None = None,
) -> None:
):
"""查看或者切换 LLM Provider"""
umo = event.unified_msg_origin
cfg = self.context.get_config(umo).get("provider_settings", {})
reachability_check_enabled = cfg.get("reachability_check", True)
if idx is None:
parts = ["## LLM Providers\n"]
parts = ["## 载入的 LLM 提供商\n"]
# 获取所有类型的提供商
llms = list(self.context.get_all_providers())
ttss = self.context.get_all_tts_providers()
stts = self.context.get_all_stt_providers()
if reachability_check_enabled and (llms or ttss or stts):
await event.send(
MessageEventResult().message("👀 Testing provider reachability...")
# 构造待检测列表: [(provider, type_label), ...]
all_providers = []
all_providers.extend([(p, "llm") for p in llms])
all_providers.extend([(p, "tts") for p in ttss])
all_providers.extend([(p, "stt") for p in stts])
# 并发测试连通性
if reachability_check_enabled:
if all_providers:
await event.send(
MessageEventResult().message(
"正在进行提供商可达性测试,请稍候..."
)
)
check_results = await asyncio.gather(
*[self._test_provider_capability(p) for p, _ in all_providers],
return_exceptions=True,
)
else:
# 用 None 表示未检测
check_results = [None for _ in all_providers]
# 整合结果
display_data = []
for (p, p_type), reachable in zip(all_providers, check_results):
meta = p.meta()
id_ = meta.id
error_code = None
if isinstance(reachable, Exception):
# 异常情况下兜底处理,避免单个 provider 导致列表失败
self._log_reachability_failure(
p,
None,
reachable.__class__.__name__,
str(reachable),
)
reachable_flag = False
error_code = reachable.__class__.__name__
elif isinstance(reachable, tuple):
reachable_flag, error_code, _ = reachable
else:
reachable_flag = reachable
# 根据类型构建显示名称
if p_type == "llm":
info = f"{id_} ({meta.model})"
else:
info = f"{id_}"
# 确定状态标记
if reachable_flag is True:
mark = ""
elif reachable_flag is False:
if error_code:
mark = f" ❌(错误码: {error_code})"
else:
mark = ""
else:
mark = "" # 不支持检测时不显示标记
display_data.append(
{
"type": p_type,
"info": info,
"mark": mark,
"provider": p,
}
)
llm_data, tts_data, stt_data = await asyncio.gather(
self._build_provider_display_data(
llms,
"llm",
reachability_check_enabled,
),
self._build_provider_display_data(
ttss,
"tts",
reachability_check_enabled,
),
self._build_provider_display_data(
stts,
"stt",
reachability_check_enabled,
),
)
provider_using = self.context.get_using_provider(umo=umo)
# 分组输出
# 1. LLM
llm_data = [d for d in display_data if d["type"] == "llm"]
for i, d in enumerate(llm_data):
line = f"{i + 1}. {d['info']}{d['mark']}"
provider_using = self.context.get_using_provider(umo=umo)
if (
provider_using
and provider_using.meta().id == d["provider"].meta().id
):
line += " 👈"
line += " (当前使用)"
parts.append(line + "\n")
# 2. TTS
tts_data = [d for d in display_data if d["type"] == "tts"]
if tts_data:
parts.append("\n## TTS Providers\n")
tts_using = self.context.get_using_tts_provider(umo=umo)
parts.append("\n## 载入的 TTS 提供商\n")
for i, d in enumerate(tts_data):
line = f"{i + 1}. {d['info']}{d['mark']}"
tts_using = self.context.get_using_tts_provider(umo=umo)
if tts_using and tts_using.meta().id == d["provider"].meta().id:
line += " 👈"
line += " (当前使用)"
parts.append(line + "\n")
# 3. STT
stt_data = [d for d in display_data if d["type"] == "stt"]
if stt_data:
parts.append("\n## STT Providers\n")
stt_using = self.context.get_using_stt_provider(umo=umo)
parts.append("\n## 载入的 STT 提供商\n")
for i, d in enumerate(stt_data):
line = f"{i + 1}. {d['info']}{d['mark']}"
stt_using = self.context.get_using_stt_provider(umo=umo)
if stt_using and stt_using.meta().id == d["provider"].meta().id:
line += " 👈"
line += " (当前使用)"
parts.append(line + "\n")
parts.append("\nUse /provider <idx> to switch LLM providers.")
parts.append("\n使用 /provider <序号> 切换 LLM 提供商。")
ret = "".join(parts)
if ttss:
ret += "\nUse /provider tts <idx> to switch TTS providers."
ret += "\n使用 /provider tts <序号> 切换 TTS 提供商。"
if stts:
ret += "\nUse /provider stt <idx> to switch STT providers."
ret += "\n使用 /provider stt <序号> 切换 STT 提供商。"
if not reachability_check_enabled:
ret += "\n已跳过提供商可达性检测,如需检测请在配置文件中开启。"
event.set_result(MessageEventResult().message(ret))
elif idx == "tts":
if idx2 is None:
event.set_result(
MessageEventResult().message("Please enter the index.")
)
event.set_result(MessageEventResult().message("请输入序号。"))
return
if idx2 > len(self.context.get_all_tts_providers()) or idx2 < 1:
event.set_result(
MessageEventResult().message("❌ Invalid provider index.")
)
event.set_result(MessageEventResult().message("无效的提供商序号。"))
return
provider = self.context.get_all_tts_providers()[idx2 - 1]
id_ = provider.meta().id
@@ -204,19 +193,13 @@ class ProviderCommands:
provider_type=ProviderType.TEXT_TO_SPEECH,
umo=umo,
)
event.set_result(
MessageEventResult().message(f"✅ Successfully switched to {id_}.")
)
event.set_result(MessageEventResult().message(f"成功切换到 {id_}"))
elif idx == "stt":
if idx2 is None:
event.set_result(
MessageEventResult().message("Please enter the index.")
)
event.set_result(MessageEventResult().message("请输入序号。"))
return
if idx2 > len(self.context.get_all_stt_providers()) or idx2 < 1:
event.set_result(
MessageEventResult().message("❌ Invalid provider index.")
)
event.set_result(MessageEventResult().message("无效的提供商序号。"))
return
provider = self.context.get_all_stt_providers()[idx2 - 1]
id_ = provider.meta().id
@@ -225,14 +208,10 @@ class ProviderCommands:
provider_type=ProviderType.SPEECH_TO_TEXT,
umo=umo,
)
event.set_result(
MessageEventResult().message(f"✅ Successfully switched to {id_}.")
)
event.set_result(MessageEventResult().message(f"成功切换到 {id_}"))
elif isinstance(idx, int):
if idx > len(self.context.get_all_providers()) or idx < 1:
event.set_result(
MessageEventResult().message("❌ Invalid provider index.")
)
event.set_result(MessageEventResult().message("无效的提供商序号。"))
return
provider = self.context.get_all_providers()[idx - 1]
id_ = provider.meta().id
@@ -241,8 +220,110 @@ class ProviderCommands:
provider_type=ProviderType.CHAT_COMPLETION,
umo=umo,
)
event.set_result(
MessageEventResult().message(f"✅ Successfully switched to {id_}.")
)
event.set_result(MessageEventResult().message(f"成功切换到 {id_}"))
else:
event.set_result(MessageEventResult().message("❌ Invalid parameter."))
event.set_result(MessageEventResult().message("无效的参数。"))
async def model_ls(
self,
message: AstrMessageEvent,
idx_or_name: int | str | None = None,
):
"""查看或者切换模型"""
prov = self.context.get_using_provider(message.unified_msg_origin)
if not prov:
message.set_result(
MessageEventResult().message("未找到任何 LLM 提供商。请先配置。"),
)
return
# 定义正则表达式匹配 API 密钥
api_key_pattern = re.compile(r"key=[^&'\" ]+")
if idx_or_name is None:
models = []
try:
models = await prov.get_models()
except BaseException as e:
err_msg = api_key_pattern.sub("key=***", str(e))
message.set_result(
MessageEventResult()
.message("获取模型列表失败: " + err_msg)
.use_t2i(False),
)
return
parts = ["下面列出了此模型提供商可用模型:"]
for i, model in enumerate(models, 1):
parts.append(f"\n{i}. {model}")
curr_model = prov.get_model() or ""
parts.append(f"\n当前模型: [{curr_model}]")
parts.append(
"\nTips: 使用 /model <模型名/编号>,即可实时更换模型。如目标模型不存在于上表,请输入模型名。"
)
ret = "".join(parts)
message.set_result(MessageEventResult().message(ret).use_t2i(False))
elif isinstance(idx_or_name, int):
models = []
try:
models = await prov.get_models()
except BaseException as e:
message.set_result(
MessageEventResult().message("获取模型列表失败: " + str(e)),
)
return
if idx_or_name > len(models) or idx_or_name < 1:
message.set_result(MessageEventResult().message("模型序号错误。"))
else:
try:
new_model = models[idx_or_name - 1]
prov.set_model(new_model)
except BaseException as e:
message.set_result(
MessageEventResult().message("切换模型未知错误: " + str(e)),
)
message.set_result(
MessageEventResult().message(
f"切换模型成功。当前提供商: [{prov.meta().id}] 当前模型: [{prov.get_model()}]",
),
)
else:
prov.set_model(idx_or_name)
message.set_result(
MessageEventResult().message(f"切换模型到 {prov.get_model()}"),
)
async def key(self, message: AstrMessageEvent, index: int | None = None):
prov = self.context.get_using_provider(message.unified_msg_origin)
if not prov:
message.set_result(
MessageEventResult().message("未找到任何 LLM 提供商。请先配置。"),
)
return
if index is None:
keys_data = prov.get_keys()
curr_key = prov.get_current_key()
parts = ["Key:"]
for i, k in enumerate(keys_data, 1):
parts.append(f"\n{i}. {k[:8]}")
parts.append(f"\n当前 Key: {curr_key[:8]}")
parts.append("\n当前模型: " + prov.get_model())
parts.append("\n使用 /key <idx> 切换 Key。")
ret = "".join(parts)
message.set_result(MessageEventResult().message(ret).use_t2i(False))
else:
keys_data = prov.get_keys()
if index > len(keys_data) or index < 1:
message.set_result(MessageEventResult().message("Key 序号错误。"))
else:
try:
new_key = keys_data[index - 1]
prov.set_key(new_key)
except BaseException as e:
message.set_result(
MessageEventResult().message(f"切换 Key 未知错误: {e!s}"),
)
message.set_result(MessageEventResult().message("切换 Key 成功。"))

View File

@@ -3,10 +3,10 @@ from astrbot.api.event import AstrMessageEvent, MessageEventResult
class SetUnsetCommands:
def __init__(self, context: star.Context) -> None:
def __init__(self, context: star.Context):
self.context = context
async def set_variable(self, event: AstrMessageEvent, key: str, value: str) -> None:
async def set_variable(self, event: AstrMessageEvent, key: str, value: str):
"""设置会话变量"""
uid = event.unified_msg_origin
session_var = await sp.session_get(uid, "session_variables", {})
@@ -19,7 +19,7 @@ class SetUnsetCommands:
),
)
async def unset_variable(self, event: AstrMessageEvent, key: str) -> None:
async def unset_variable(self, event: AstrMessageEvent, key: str):
"""移除会话变量"""
uid = event.unified_msg_origin
session_var = await sp.session_get(uid, "session_variables", {})

View File

@@ -7,10 +7,10 @@ from astrbot.api.event import AstrMessageEvent, MessageEventResult
class SIDCommand:
"""会话ID命令类"""
def __init__(self, context: star.Context) -> None:
def __init__(self, context: star.Context):
self.context = context
async def sid(self, event: AstrMessageEvent) -> None:
async def sid(self, event: AstrMessageEvent):
"""获取消息来源信息"""
sid = event.unified_msg_origin
user_id = str(event.get_sender_id())
@@ -18,19 +18,19 @@ class SIDCommand:
umo_msg_type = event.session.message_type.value
umo_session_id = event.session.session_id
ret = (
f"UMO: 「{sid}\n"
f"UID: 「{user_id}\n"
"*Use UMO to set whitelist and configure routing, use UID to set admin list(UMO 可用于设置白名单和配置文件路由UID 可用于设置管理员列表)\n\n"
f"Your session information:\n"
f"Bot ID: 「{umo_platform}\n"
f"Message Type: 「{umo_msg_type}\n"
f"Session ID: 「{umo_session_id}\n\n"
f"UMO: 「{sid} 此值可用于设置白名单。\n"
f"UID: 「{user_id} 此值可用于设置管理员。\n"
f"消息会话来源信息:\n"
f" 机器人 ID: 「{umo_platform}\n"
f" 消息类型: 「{umo_msg_type}\n"
f" 会话 ID: 「{umo_session_id}\n"
f"消息来源可用于配置机器人的配置文件路由。"
)
if (
self.context.get_config()["platform_settings"]["unique_session"]
and event.get_group_id()
):
ret += f"\n\nThe group's ID: 「{event.get_group_id()}. Set this ID to whitelist to allow the entire group."
ret += f"\n\n当前处于独立会话模式, 此群 ID: 「{event.get_group_id()}, 也可将此 ID 加入白名单来放行整个群聊。"
event.set_result(MessageEventResult().message(ret).use_t2i(False))

View File

@@ -0,0 +1,23 @@
"""文本转图片命令"""
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, MessageEventResult
class T2ICommand:
"""文本转图片命令类"""
def __init__(self, context: star.Context):
self.context = context
async def t2i(self, event: AstrMessageEvent):
"""开关文本转图片"""
config = self.context.get_config(umo=event.unified_msg_origin)
if config["t2i"]:
config["t2i"] = False
config.save_config()
event.set_result(MessageEventResult().message("已关闭文本转图片模式。"))
return
config["t2i"] = True
config.save_config()
event.set_result(MessageEventResult().message("已开启文本转图片模式。"))

View File

@@ -0,0 +1,36 @@
"""文本转语音命令"""
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, MessageEventResult
from astrbot.core.star.session_llm_manager import SessionServiceManager
class TTSCommand:
"""文本转语音命令类"""
def __init__(self, context: star.Context):
self.context = context
async def tts(self, event: AstrMessageEvent):
"""开关文本转语音(会话级别)"""
umo = event.unified_msg_origin
ses_tts = await SessionServiceManager.is_tts_enabled_for_session(umo)
cfg = self.context.get_config(umo=umo)
tts_enable = cfg["provider_tts_settings"]["enable"]
# 切换状态
new_status = not ses_tts
await SessionServiceManager.set_tts_status_for_session(umo, new_status)
status_text = "已开启" if new_status else "已关闭"
if new_status and not tts_enable:
event.set_result(
MessageEventResult().message(
f"{status_text}当前会话的文本转语音。但 TTS 功能在配置中未启用,请前往 WebUI 开启。",
),
)
else:
event.set_result(
MessageEventResult().message(f"{status_text}当前会话的文本转语音。"),
)

View File

@@ -1,15 +1,19 @@
from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, filter
from astrbot.core.star.filter.command import GreedyStr
from .commands import (
AdminCommands,
AlterCmdCommands,
ConversationCommands,
HelpCommand,
NameCommand,
LLMCommands,
PersonaCommands,
PluginCommands,
ProviderCommands,
SetUnsetCommands,
SIDCommand,
T2ICommand,
TTSCommand,
)
@@ -17,49 +21,100 @@ class Main(star.Star):
def __init__(self, context: star.Context) -> None:
self.context = context
self.help_c = HelpCommand(self.context)
self.llm_c = LLMCommands(self.context)
self.plugin_c = PluginCommands(self.context)
self.admin_c = AdminCommands(self.context)
self.conversation_c = ConversationCommands(self.context)
self.help_c = HelpCommand(self.context)
self.name_c = NameCommand(self.context)
self.provider_c = ProviderCommands(self.context)
self.persona_c = PersonaCommands(self.context)
self.alter_cmd_c = AlterCmdCommands(self.context)
self.setunset_c = SetUnsetCommands(self.context)
self.t2i_c = T2ICommand(self.context)
self.tts_c = TTSCommand(self.context)
self.sid_c = SIDCommand(self.context)
@filter.command("help")
async def help(self, event: AstrMessageEvent) -> None:
"""Show help message"""
async def help(self, event: AstrMessageEvent):
"""查看帮助"""
await self.help_c.help(event)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("llm")
async def llm(self, event: AstrMessageEvent):
"""开启/关闭 LLM"""
await self.llm_c.llm(event)
@filter.command_group("plugin")
def plugin(self):
"""插件管理"""
@plugin.command("ls")
async def plugin_ls(self, event: AstrMessageEvent):
"""获取已经安装的插件列表。"""
await self.plugin_c.plugin_ls(event)
@filter.permission_type(filter.PermissionType.ADMIN)
@plugin.command("off")
async def plugin_off(self, event: AstrMessageEvent, plugin_name: str = ""):
"""禁用插件"""
await self.plugin_c.plugin_off(event, plugin_name)
@filter.permission_type(filter.PermissionType.ADMIN)
@plugin.command("on")
async def plugin_on(self, event: AstrMessageEvent, plugin_name: str = ""):
"""启用插件"""
await self.plugin_c.plugin_on(event, plugin_name)
@filter.permission_type(filter.PermissionType.ADMIN)
@plugin.command("get")
async def plugin_get(self, event: AstrMessageEvent, plugin_repo: str = ""):
"""安装插件"""
await self.plugin_c.plugin_get(event, plugin_repo)
@plugin.command("help")
async def plugin_help(self, event: AstrMessageEvent, plugin_name: str = ""):
"""获取插件帮助"""
await self.plugin_c.plugin_help(event, plugin_name)
@filter.command("t2i")
async def t2i(self, event: AstrMessageEvent):
"""开关文本转图片"""
await self.t2i_c.t2i(event)
@filter.command("tts")
async def tts(self, event: AstrMessageEvent):
"""开关文本转语音(会话级别)"""
await self.tts_c.tts(event)
@filter.command("sid")
async def sid(self, event: AstrMessageEvent) -> None:
"""Get session ID and other related information"""
async def sid(self, event: AstrMessageEvent):
"""获取会话 ID 和 管理员 ID"""
await self.sid_c.sid(event)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("name")
async def name(self, event: AstrMessageEvent, alias: GreedyStr) -> None:
"""Set display name for current UMO"""
await self.name_c.name(event, alias)
@filter.command("op")
async def op(self, event: AstrMessageEvent, admin_id: str = ""):
"""授权管理员。op <admin_id>"""
await self.admin_c.op(event, admin_id)
@filter.command("reset")
async def reset(self, message: AstrMessageEvent) -> None:
"""Reset conversation history"""
await self.conversation_c.reset(message)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("deop")
async def deop(self, event: AstrMessageEvent, admin_id: str):
"""取消授权管理员。deop <admin_id>"""
await self.admin_c.deop(event, admin_id)
@filter.command("stop")
async def stop(self, message: AstrMessageEvent) -> None:
"""Stop agent execution"""
await self.conversation_c.stop(message)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("wl")
async def wl(self, event: AstrMessageEvent, sid: str = ""):
"""添加白名单。wl <sid>"""
await self.admin_c.wl(event, sid)
@filter.command("new")
async def new_conv(self, message: AstrMessageEvent) -> None:
"""Create new conversation"""
await self.conversation_c.new_conv(message)
@filter.command("stats")
async def stats(self, message: AstrMessageEvent) -> None:
"""Show token usage statistics for the current conversation"""
await self.conversation_c.stats(message)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("dwl")
async def dwl(self, event: AstrMessageEvent, sid: str):
"""删除白名单。dwl <sid>"""
await self.admin_c.dwl(event, sid)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("provider")
@@ -68,22 +123,89 @@ class Main(star.Star):
event: AstrMessageEvent,
idx: str | int | None = None,
idx2: int | None = None,
) -> None:
"""View or switch LLM Provider"""
):
"""查看或者切换 LLM Provider"""
await self.provider_c.provider(event, idx, idx2)
@filter.command("reset")
async def reset(self, message: AstrMessageEvent):
"""重置 LLM 会话"""
await self.conversation_c.reset(message)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("model")
async def model_ls(
self,
message: AstrMessageEvent,
idx_or_name: int | str | None = None,
):
"""查看或者切换模型"""
await self.provider_c.model_ls(message, idx_or_name)
@filter.command("history")
async def his(self, message: AstrMessageEvent, page: int = 1):
"""查看对话记录"""
await self.conversation_c.his(message, page)
@filter.command("ls")
async def convs(self, message: AstrMessageEvent, page: int = 1):
"""查看对话列表"""
await self.conversation_c.convs(message, page)
@filter.command("new")
async def new_conv(self, message: AstrMessageEvent):
"""创建新对话"""
await self.conversation_c.new_conv(message)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("groupnew")
async def groupnew_conv(self, message: AstrMessageEvent, sid: str):
"""创建新群聊对话"""
await self.conversation_c.groupnew_conv(message, sid)
@filter.command("switch")
async def switch_conv(self, message: AstrMessageEvent, index: int | None = None):
"""通过 /ls 前面的序号切换对话"""
await self.conversation_c.switch_conv(message, index)
@filter.command("rename")
async def rename_conv(self, message: AstrMessageEvent, new_name: str):
"""重命名对话"""
await self.conversation_c.rename_conv(message, new_name)
@filter.command("del")
async def del_conv(self, message: AstrMessageEvent):
"""删除当前对话"""
await self.conversation_c.del_conv(message)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("key")
async def key(self, message: AstrMessageEvent, index: int | None = None):
"""查看或者切换 Key"""
await self.provider_c.key(message, index)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("persona")
async def persona(self, message: AstrMessageEvent):
"""查看或者切换 Persona"""
await self.persona_c.persona(message)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("dashboard_update")
async def update_dashboard(self, event: AstrMessageEvent) -> None:
"""Update AstrBot WebUI"""
async def update_dashboard(self, event: AstrMessageEvent):
"""更新管理面板"""
await self.admin_c.update_dashboard(event)
@filter.command("set")
async def set_variable(self, event: AstrMessageEvent, key: str, value: str) -> None:
"""Set session variable"""
async def set_variable(self, event: AstrMessageEvent, key: str, value: str):
await self.setunset_c.set_variable(event, key, value)
@filter.command("unset")
async def unset_variable(self, event: AstrMessageEvent, key: str) -> None:
"""Unset session variable"""
async def unset_variable(self, event: AstrMessageEvent, key: str):
await self.setunset_c.unset_variable(event, key)
@filter.permission_type(filter.PermissionType.ADMIN)
@filter.command("alter_cmd", alias={"alter"})
async def alter_cmd(self, event: AstrMessageEvent):
"""修改命令权限"""
await self.alter_cmd_c.alter_cmd(event)

View File

@@ -1,4 +1,4 @@
name: builtin_commands
desc: AstrBot's internal plugin, providing all built-in commands such as /reset.
desc: AstrBot 自带指令,提供常用的对话管理、工具使用、插件管理等功能。
author: Soulter
version: 0.0.1

View File

@@ -0,0 +1,114 @@
import copy
from sys import maxsize
import astrbot.api.message_components as Comp
from astrbot.api import logger
from astrbot.api.event import AstrMessageEvent, filter
from astrbot.api.star import Context, Star
from astrbot.core.utils.session_waiter import (
FILTERS,
USER_SESSIONS,
SessionController,
SessionWaiter,
session_waiter,
)
class Main(Star):
"""会话控制"""
def __init__(self, context: Context):
super().__init__(context)
@filter.event_message_type(filter.EventMessageType.ALL, priority=maxsize)
async def handle_session_control_agent(self, event: AstrMessageEvent):
"""会话控制代理"""
for session_filter in FILTERS:
session_id = session_filter.filter(event)
if session_id in USER_SESSIONS:
await SessionWaiter.trigger(session_id, event)
event.stop_event()
@filter.event_message_type(filter.EventMessageType.ALL, priority=maxsize - 1)
async def handle_empty_mention(self, event: AstrMessageEvent):
"""实现了对只有一个 @ 的消息内容的处理"""
try:
messages = event.get_messages()
cfg = self.context.get_config(umo=event.unified_msg_origin)
p_settings = cfg["platform_settings"]
wake_prefix = cfg.get("wake_prefix", [])
if len(messages) == 1:
if (
isinstance(messages[0], Comp.At)
and str(messages[0].qq) == str(event.get_self_id())
and p_settings.get("empty_mention_waiting", True)
) or (
isinstance(messages[0], Comp.Plain)
and messages[0].text.strip() in wake_prefix
):
if p_settings.get("empty_mention_waiting_need_reply", True):
try:
# 尝试使用 LLM 生成更生动的回复
func_tools_mgr = self.context.get_llm_tool_manager()
# 获取用户当前的对话信息
curr_cid = await self.context.conversation_manager.get_curr_conversation_id(
event.unified_msg_origin,
)
conversation = None
if curr_cid:
conversation = await self.context.conversation_manager.get_conversation(
event.unified_msg_origin,
curr_cid,
)
else:
# 创建新对话
curr_cid = await self.context.conversation_manager.new_conversation(
event.unified_msg_origin,
platform_id=event.get_platform_id(),
)
# 使用 LLM 生成回复
yield event.request_llm(
prompt=(
"注意,你正在社交媒体上中与用户进行聊天,用户只是通过@来唤醒你,但并未在这条消息中输入内容,他可能会在接下来一条发送他想发送的内容。"
"你友好地询问用户想要聊些什么或者需要什么帮助,回复要符合人设,不要太过机械化。"
"请注意,你仅需要输出要回复用户的内容,不要输出其他任何东西"
),
func_tool_manager=func_tools_mgr,
session_id=curr_cid,
contexts=[],
system_prompt="",
conversation=conversation,
)
except Exception as e:
logger.error(f"LLM response failed: {e!s}")
# LLM 回复失败,使用原始预设回复
yield event.plain_result("想要问什么呢?😄")
@session_waiter(60)
async def empty_mention_waiter(
controller: SessionController,
event: AstrMessageEvent,
):
event.message_obj.message.insert(
0,
Comp.At(qq=event.get_self_id(), name=event.get_self_id()),
)
new_event = copy.copy(event)
# 重新推入事件队列
self.context.get_event_queue().put_nowait(new_event)
event.stop_event()
controller.stop()
try:
await empty_mention_waiter(event)
except TimeoutError as _:
pass
except Exception as e:
yield event.plain_result("发生错误,请联系管理员: " + str(e))
finally:
event.stop_event()
except Exception as e:
logger.error("handle_empty_mention error: " + str(e))

View File

@@ -0,0 +1,5 @@
name: session_controller
desc: 为插件支持会话控制
author: Cvandia & Soulter
version: v1.0.1
repo: https://astrbot.app

View File

@@ -0,0 +1,112 @@
import random
import urllib.parse
from dataclasses import dataclass
from aiohttp import ClientSession
from bs4 import BeautifulSoup, Tag
HEADERS = {
"User-Agent": "Mozilla/5.0 (Windows NT 6.1; rv:84.0) Gecko/20100101 Firefox/84.0",
"Accept": "*/*",
"Connection": "keep-alive",
"Accept-Language": "en-GB,en;q=0.5",
}
USER_AGENT_BING = "Mozilla/5.0 (Windows NT 6.1; rv:84.0) Gecko/20100101 Firefox/84.0"
USER_AGENTS = [
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36",
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:89.0) Gecko/20100101 Firefox/89.0",
"Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:88.0) Gecko/20100101 Firefox/88.0",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Version/14.1.2 Safari/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Version/14.1 Safari/537.36",
"Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:89.0) Gecko/20100101 Firefox/89.0",
"Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:88.0) Gecko/20100101 Firefox/88.0",
]
@dataclass
class SearchResult:
title: str
url: str
snippet: str
favicon: str | None = None
def __str__(self) -> str:
return f"{self.title} - {self.url}\n{self.snippet}"
class SearchEngine:
"""搜索引擎爬虫基类"""
def __init__(self) -> None:
self.TIMEOUT = 10
self.page = 1
self.headers = HEADERS
def _set_selector(self, selector: str) -> str:
raise NotImplementedError
def _get_next_page(self, query: str):
raise NotImplementedError
async def _get_html(self, url: str, data: dict | None = None) -> str:
headers = self.headers
headers["Referer"] = url
headers["User-Agent"] = random.choice(USER_AGENTS)
if data:
async with (
ClientSession() as session,
session.post(
url,
headers=headers,
data=data,
timeout=self.TIMEOUT,
) as resp,
):
ret = await resp.text(encoding="utf-8")
return ret
else:
async with (
ClientSession() as session,
session.get(
url,
headers=headers,
timeout=self.TIMEOUT,
) as resp,
):
ret = await resp.text(encoding="utf-8")
return ret
def tidy_text(self, text: str) -> str:
"""清理文本,去除空格、换行符等"""
return text.strip().replace("\n", " ").replace("\r", " ").replace(" ", " ")
def _get_url(self, tag: Tag) -> str:
return self.tidy_text(tag.get_text())
async def search(self, query: str, num_results: int) -> list[SearchResult]:
query = urllib.parse.quote(query)
try:
resp = await self._get_next_page(query)
soup = BeautifulSoup(resp, "html.parser")
links = soup.select(self._set_selector("links"))
results = []
for link in links:
# Safely get the title text (select_one may return None)
title_elem = link.select_one(self._set_selector("title"))
title = ""
if title_elem is not None:
title = self.tidy_text(title_elem.get_text())
url_tag = link.select_one(self._set_selector("url"))
snippet = ""
if title and url_tag:
url = self._get_url(url_tag)
results.append(SearchResult(title=title, url=url, snippet=snippet))
return results[:num_results] if len(results) > num_results else results
except Exception as e:
raise e

View File

@@ -0,0 +1,30 @@
from . import USER_AGENT_BING, SearchEngine
class Bing(SearchEngine):
def __init__(self) -> None:
super().__init__()
self.base_urls = ["https://cn.bing.com", "https://www.bing.com"]
self.headers.update({"User-Agent": USER_AGENT_BING})
def _set_selector(self, selector: str):
selectors = {
"url": "div.b_attribution cite",
"title": "h2",
"text": "p",
"links": "ol#b_results > li.b_algo",
"next": 'div#b_content nav[role="navigation"] a.sb_pagN',
}
return selectors[selector]
async def _get_next_page(self, query) -> str:
# if self.page == 1:
# await self._get_html(self.base_url)
for base_url in self.base_urls:
try:
url = f"{base_url}/search?q={query}"
return await self._get_html(url, None)
except Exception as _:
self.base_url = base_url
continue
raise Exception("Bing search failed")

View File

@@ -0,0 +1,52 @@
import random
import re
from typing import cast
from bs4 import BeautifulSoup, Tag
from . import USER_AGENTS, SearchEngine, SearchResult
class Sogo(SearchEngine):
def __init__(self) -> None:
super().__init__()
self.base_url = "https://www.sogou.com"
self.headers["User-Agent"] = random.choice(USER_AGENTS)
def _set_selector(self, selector: str):
selectors = {
"url": "h3 > a",
"title": "h3",
"text": "",
"links": "div.results > div.vrwrap:not(.middle-better-hintBox)",
"next": "",
}
return selectors[selector]
async def _get_next_page(self, query) -> str:
url = f"{self.base_url}/web?query={query}"
return await self._get_html(url, None)
def _get_url(self, tag: Tag) -> str:
return cast(str, tag.get("href"))
async def search(self, query: str, num_results: int) -> list[SearchResult]:
results = await super().search(query, num_results)
for result in results:
if result.url.startswith("/link?"):
result.url = self.base_url + result.url
result.url = await self._parse_url(result.url)
return results
async def _parse_url(self, url) -> str:
html = await self._get_html(url)
soup = BeautifulSoup(html, "html.parser")
script = soup.find("script")
if script:
script_text = (
script.string if script.string is not None else script.get_text()
)
match = re.search(r'window.location.replace\("(.+?)"\)', script_text)
if match:
url = match.group(1)
return url

View File

@@ -0,0 +1,444 @@
import asyncio
import json
import random
import uuid
import aiohttp
from bs4 import BeautifulSoup
from readability import Document
from astrbot.api import AstrBotConfig, llm_tool, logger, sp, star
from astrbot.api.event import AstrMessageEvent, MessageEventResult, filter
from astrbot.api.provider import ProviderRequest
from astrbot.core.provider.func_tool_manager import FunctionToolManager
from .engines import HEADERS, USER_AGENTS, SearchResult
from .engines.bing import Bing
from .engines.sogo import Sogo
class Main(star.Star):
TOOLS = [
"web_search",
"fetch_url",
"web_search_tavily",
"tavily_extract_web_page",
]
def __init__(self, context: star.Context) -> None:
self.context = context
self.tavily_key_index = 0
self.tavily_key_lock = asyncio.Lock()
# 将 str 类型的 key 迁移至 list[str],并保存
cfg = self.context.get_config()
provider_settings = cfg.get("provider_settings")
if provider_settings:
tavily_key = provider_settings.get("websearch_tavily_key")
if isinstance(tavily_key, str):
logger.info(
"检测到旧版 websearch_tavily_key (字符串格式),自动迁移为列表格式并保存。",
)
if tavily_key:
provider_settings["websearch_tavily_key"] = [tavily_key]
else:
provider_settings["websearch_tavily_key"] = []
cfg.save_config()
self.bing_search = Bing()
self.sogo_search = Sogo()
self.baidu_initialized = False
async def _tidy_text(self, text: str) -> str:
"""清理文本,去除空格、换行符等"""
return text.strip().replace("\n", " ").replace("\r", " ").replace(" ", " ")
async def _get_from_url(self, url: str) -> str:
"""获取网页内容"""
header = HEADERS
header.update({"User-Agent": random.choice(USER_AGENTS)})
async with aiohttp.ClientSession(trust_env=True) as session:
async with session.get(url, headers=header, timeout=6) as response:
html = await response.text(encoding="utf-8")
doc = Document(html)
ret = doc.summary(html_partial=True)
soup = BeautifulSoup(ret, "html.parser")
ret = await self._tidy_text(soup.get_text())
return ret
async def _process_search_result(
self,
result: SearchResult,
idx: int,
websearch_link: bool,
) -> str:
"""处理单个搜索结果"""
logger.info(f"web_searcher - scraping web: {result.title} - {result.url}")
try:
site_result = await self._get_from_url(result.url)
except BaseException:
site_result = ""
site_result = (
f"{site_result[:700]}..." if len(site_result) > 700 else site_result
)
header = f"{idx}. {result.title} "
if websearch_link and result.url:
header += result.url
return f"{header}\n{result.snippet}\n{site_result}\n\n"
async def _web_search_default(
self,
query,
num_results: int = 5,
) -> list[SearchResult]:
results = []
try:
results = await self.bing_search.search(query, num_results)
except Exception as e:
logger.error(f"bing search error: {e}, try the next one...")
if len(results) == 0:
logger.debug("search bing failed")
try:
results = await self.sogo_search.search(query, num_results)
except Exception as e:
logger.error(f"sogo search error: {e}")
if len(results) == 0:
logger.debug("search sogo failed")
return []
return results
async def _get_tavily_key(self, cfg: AstrBotConfig) -> str:
"""并发安全的从列表中获取并轮换Tavily API密钥。"""
tavily_keys = cfg.get("provider_settings", {}).get("websearch_tavily_key", [])
if not tavily_keys:
raise ValueError("错误Tavily API密钥未在AstrBot中配置。")
async with self.tavily_key_lock:
key = tavily_keys[self.tavily_key_index]
self.tavily_key_index = (self.tavily_key_index + 1) % len(tavily_keys)
return key
async def _web_search_tavily(
self,
cfg: AstrBotConfig,
payload: dict,
) -> list[SearchResult]:
"""使用 Tavily 搜索引擎进行搜索"""
tavily_key = await self._get_tavily_key(cfg)
url = "https://api.tavily.com/search"
header = {
"Authorization": f"Bearer {tavily_key}",
"Content-Type": "application/json",
}
async with aiohttp.ClientSession(trust_env=True) as session:
async with session.post(
url,
json=payload,
headers=header,
timeout=6,
) as response:
if response.status != 200:
reason = await response.text()
raise Exception(
f"Tavily web search failed: {reason}, status: {response.status}",
)
data = await response.json()
results = []
for item in data.get("results", []):
result = SearchResult(
title=item.get("title"),
url=item.get("url"),
snippet=item.get("content"),
favicon=item.get("favicon"),
)
results.append(result)
return results
async def _extract_tavily(self, cfg: AstrBotConfig, payload: dict) -> list[dict]:
"""使用 Tavily 提取网页内容"""
tavily_key = await self._get_tavily_key(cfg)
url = "https://api.tavily.com/extract"
header = {
"Authorization": f"Bearer {tavily_key}",
"Content-Type": "application/json",
}
async with aiohttp.ClientSession(trust_env=True) as session:
async with session.post(
url,
json=payload,
headers=header,
timeout=6,
) as response:
if response.status != 200:
reason = await response.text()
raise Exception(
f"Tavily web search failed: {reason}, status: {response.status}",
)
data = await response.json()
results: list[dict] = data.get("results", [])
if not results:
raise ValueError(
"Error: Tavily web searcher does not return any results.",
)
return results
@filter.command("websearch")
async def websearch(self, event: AstrMessageEvent, oper: str | None = None):
"""网页搜索指令(已废弃)"""
event.set_result(
MessageEventResult().message(
"此指令已经被废弃,请在 WebUI 中开启或关闭网页搜索功能。",
),
)
@llm_tool(name="web_search")
async def search_from_search_engine(
self,
event: AstrMessageEvent,
query: str,
max_results: int = 5,
) -> str:
"""搜索网络以回答用户的问题。当用户需要搜索网络以获取即时性的信息时调用此工具。
Args:
query(string): 和用户的问题最相关的搜索关键词,用于在 Google 上搜索。
max_results(number): 返回的最大搜索结果数量,默认为 5。
"""
logger.info(f"web_searcher - search_from_search_engine: {query}")
cfg = self.context.get_config(umo=event.unified_msg_origin)
websearch_link = cfg["provider_settings"].get("web_search_link", False)
results = await self._web_search_default(query, max_results)
if not results:
return "Error: web searcher does not return any results."
tasks = []
for idx, result in enumerate(results, 1):
task = self._process_search_result(result, idx, websearch_link)
tasks.append(task)
processed_results = await asyncio.gather(*tasks, return_exceptions=True)
ret = ""
for processed_result in processed_results:
if isinstance(processed_result, BaseException):
logger.error(f"Error processing search result: {processed_result}")
continue
ret += processed_result
if websearch_link:
ret += "\n\n针对问题,请根据上面的结果分点总结,并且在结尾处附上对应内容的参考链接(如有)。"
return ret
async def ensure_baidu_ai_search_mcp(self, umo: str | None = None):
if self.baidu_initialized:
return
cfg = self.context.get_config(umo=umo)
key = cfg.get("provider_settings", {}).get(
"websearch_baidu_app_builder_key",
"",
)
if not key:
raise ValueError(
"Error: Baidu AI Search API key is not configured in AstrBot.",
)
func_tool_mgr = self.context.get_llm_tool_manager()
await func_tool_mgr.enable_mcp_server(
"baidu_ai_search",
config={
"transport": "sse",
"url": f"http://appbuilder.baidu.com/v2/ai_search/mcp/sse?api_key={key}",
"headers": {},
"timeout": 30,
},
)
self.baidu_initialized = True
logger.info("Successfully initialized Baidu AI Search MCP server.")
@llm_tool(name="fetch_url")
async def fetch_website_content(self, event: AstrMessageEvent, url: str) -> str:
"""Fetch the content of a website with the given web url
Args:
url(string): The url of the website to fetch content from
"""
resp = await self._get_from_url(url)
return resp
@llm_tool("web_search_tavily")
async def search_from_tavily(
self,
event: AstrMessageEvent,
query: str,
max_results: int = 7,
search_depth: str = "basic",
topic: str = "general",
days: int = 3,
time_range: str = "",
start_date: str = "",
end_date: str = "",
) -> str:
"""A web search tool that uses Tavily to search the web for relevant content.
Ideal for gathering current information, news, and detailed web content analysis.
Args:
query(string): Required. Search query.
max_results(number): Optional. The maximum number of results to return. Default is 7. Range is 5-20.
search_depth(string): Optional. The depth of the search, must be one of 'basic', 'advanced'. Default is "basic".
topic(string): Optional. The topic of the search, must be one of 'general', 'news'. Default is "general".
days(number): Optional. The number of days back from the current date to include in the search results. Please note that this feature is only available when using the 'news' search topic.
time_range(string): Optional. The time range back from the current date to include in the search results. This feature is available for both 'general' and 'news' search topics. Must be one of 'day', 'week', 'month', 'year'.
start_date(string): Optional. The start date for the search results in the format 'YYYY-MM-DD'.
end_date(string): Optional. The end date for the search results in the format 'YYYY-MM-DD'.
"""
logger.info(f"web_searcher - search_from_tavily: {query}")
cfg = self.context.get_config(umo=event.unified_msg_origin)
# websearch_link = cfg["provider_settings"].get("web_search_link", False)
if not cfg.get("provider_settings", {}).get("websearch_tavily_key", []):
raise ValueError("Error: Tavily API key is not configured in AstrBot.")
# build payload
payload = {"query": query, "max_results": max_results, "include_favicon": True}
if search_depth not in ["basic", "advanced"]:
search_depth = "basic"
payload["search_depth"] = search_depth
if topic not in ["general", "news"]:
topic = "general"
payload["topic"] = topic
if topic == "news":
payload["days"] = days
if time_range in ["day", "week", "month", "year"]:
payload["time_range"] = time_range
if start_date:
payload["start_date"] = start_date
if end_date:
payload["end_date"] = end_date
results = await self._web_search_tavily(cfg, payload)
if not results:
return "Error: Tavily web searcher does not return any results."
ret_ls = []
ref_uuid = str(uuid.uuid4())[:4]
for idx, result in enumerate(results, 1):
index = f"{ref_uuid}.{idx}"
ret_ls.append(
{
"title": f"{result.title}",
"url": f"{result.url}",
"snippet": f"{result.snippet}",
# TODO: do not need ref for non-webchat platform adapter
"index": index,
}
)
if result.favicon:
sp.temorary_cache["_ws_favicon"][result.url] = result.favicon
# ret = "\n".join(ret_ls)
ret = json.dumps({"results": ret_ls}, ensure_ascii=False)
return ret
@llm_tool("tavily_extract_web_page")
async def tavily_extract_web_page(
self,
event: AstrMessageEvent,
url: str = "",
extract_depth: str = "basic",
) -> str:
"""Extract the content of a web page using Tavily.
Args:
url(string): Required. An URl to extract content from.
extract_depth(string): Optional. The depth of the extraction, must be one of 'basic', 'advanced'. Default is "basic".
"""
cfg = self.context.get_config(umo=event.unified_msg_origin)
if not cfg.get("provider_settings", {}).get("websearch_tavily_key", []):
raise ValueError("Error: Tavily API key is not configured in AstrBot.")
if not url:
raise ValueError("Error: url must be a non-empty string.")
if extract_depth not in ["basic", "advanced"]:
extract_depth = "basic"
payload = {
"urls": [url],
"extract_depth": extract_depth,
}
results = await self._extract_tavily(cfg, payload)
ret_ls = []
for result in results:
ret_ls.append(f"URL: {result.get('url', 'No URL')}")
ret_ls.append(f"Content: {result.get('raw_content', 'No content')}")
ret = "\n".join(ret_ls)
if not ret:
return "Error: Tavily web searcher does not return any results."
return ret
@filter.on_llm_request(priority=-10000)
async def edit_web_search_tools(
self,
event: AstrMessageEvent,
req: ProviderRequest,
):
"""Get the session conversation for the given event."""
cfg = self.context.get_config(umo=event.unified_msg_origin)
prov_settings = cfg.get("provider_settings", {})
websearch_enable = prov_settings.get("web_search", False)
provider = prov_settings.get("websearch_provider", "default")
tool_set = req.func_tool
if isinstance(tool_set, FunctionToolManager):
req.func_tool = tool_set.get_full_tool_set()
tool_set = req.func_tool
if not tool_set:
return
if not websearch_enable:
# pop tools
for tool_name in self.TOOLS:
tool_set.remove_tool(tool_name)
return
func_tool_mgr = self.context.get_llm_tool_manager()
if provider == "default":
web_search_t = func_tool_mgr.get_func("web_search")
fetch_url_t = func_tool_mgr.get_func("fetch_url")
if web_search_t:
tool_set.add_tool(web_search_t)
if fetch_url_t:
tool_set.add_tool(fetch_url_t)
tool_set.remove_tool("web_search_tavily")
tool_set.remove_tool("tavily_extract_web_page")
tool_set.remove_tool("AIsearch")
elif provider == "tavily":
web_search_tavily = func_tool_mgr.get_func("web_search_tavily")
tavily_extract_web_page = func_tool_mgr.get_func("tavily_extract_web_page")
if web_search_tavily:
tool_set.add_tool(web_search_tavily)
if tavily_extract_web_page:
tool_set.add_tool(tavily_extract_web_page)
tool_set.remove_tool("web_search")
tool_set.remove_tool("fetch_url")
tool_set.remove_tool("AIsearch")
elif provider == "baidu_ai_search":
try:
await self.ensure_baidu_ai_search_mcp(event.unified_msg_origin)
aisearch_tool = func_tool_mgr.get_func("AIsearch")
if not aisearch_tool:
raise ValueError("Cannot get Baidu AI Search MCP tool.")
tool_set.add_tool(aisearch_tool)
tool_set.remove_tool("web_search")
tool_set.remove_tool("fetch_url")
tool_set.remove_tool("web_search_tavily")
tool_set.remove_tool("tavily_extract_web_page")
except Exception as e:
logger.error(f"Cannot Initialize Baidu AI Search MCP Server: {e}")

View File

@@ -0,0 +1,4 @@
name: astrbot-web-searcher
desc: 让 LLM 具有网页检索能力
author: Soulter
version: 1.14.514

View File

@@ -1,3 +1 @@
from astrbot.core.config.default import VERSION
__version__ = VERSION
__version__ = "4.13.2"

View File

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

View File

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

View File

@@ -1,3 +1,4 @@
import hashlib
import json
import zoneinfo
from collections.abc import Callable
@@ -5,73 +6,61 @@ from typing import Any
import click
from astrbot.core.utils.auth_password import (
hash_dashboard_password,
hash_md5_dashboard_password,
validate_dashboard_password,
)
from ..utils import check_astrbot_root, get_astrbot_root
def _validate_log_level(value: str) -> str:
"""Validate log level"""
"""验证日志级别"""
value = value.upper()
if value not in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]:
raise click.ClickException(
"Log level must be one of DEBUG/INFO/WARNING/ERROR/CRITICAL",
"日志级别必须是 DEBUG/INFO/WARNING/ERROR/CRITICAL 之一",
)
return value
def _validate_dashboard_port(value: str) -> int:
"""Validate Dashboard port"""
"""验证 Dashboard 端口"""
try:
port = int(value)
if port < 1 or port > 65535:
raise click.ClickException("Port must be in range 1-65535")
raise click.ClickException("端口必须在 1-65535 范围内")
return port
except ValueError:
raise click.ClickException("Port must be a number")
raise click.ClickException("端口必须是数字")
def _validate_dashboard_username(value: str) -> str:
"""Validate Dashboard username"""
"""验证 Dashboard 用户名"""
if not value:
raise click.ClickException("Username cannot be empty")
raise click.ClickException("用户名不能为空")
return value
def _validate_dashboard_password(value: str) -> str:
"""Validate Dashboard password"""
try:
validate_dashboard_password(value)
except ValueError as e:
raise click.ClickException(str(e))
return value
"""验证 Dashboard 密码"""
if not value:
raise click.ClickException("密码不能为空")
return hashlib.md5(value.encode()).hexdigest()
def _validate_timezone(value: str) -> str:
"""Validate timezone"""
"""验证时区"""
try:
zoneinfo.ZoneInfo(value)
except Exception:
raise click.ClickException(
f"Invalid timezone: {value}. Please use a valid IANA timezone name"
)
raise click.ClickException(f"无效的时区: {value}请使用有效的IANA时区名称")
return value
def _validate_callback_api_base(value: str) -> str:
"""Validate callback API base URL"""
"""验证回调接口基址"""
if not value.startswith("http://") and not value.startswith("https://"):
raise click.ClickException(
"Callback API base must start with http:// or https://"
)
raise click.ClickException("回调接口基址必须以 http:// 或 https:// 开头")
return value
# Configuration items settable via CLI, mapping config keys to validator functions
# 可通过CLI设置的配置项配置键到验证器函数的映射
CONFIG_VALIDATORS: dict[str, Callable[[str], Any]] = {
"timezone": _validate_timezone,
"log_level": _validate_log_level,
@@ -83,11 +72,11 @@ CONFIG_VALIDATORS: dict[str, Callable[[str], Any]] = {
def _load_config() -> dict[str, Any]:
"""Load or initialize config file"""
"""加载或初始化配置文件"""
root = get_astrbot_root()
if not check_astrbot_root(root):
raise click.ClickException(
f"{root} is not a valid AstrBot root directory. Use 'astrbot init' to initialize",
f"{root}不是有效的 AstrBot 根目录,如需初始化请使用 astrbot init",
)
config_path = root / "data" / "cmd_config.json"
@@ -102,11 +91,11 @@ def _load_config() -> dict[str, Any]:
try:
return json.loads(config_path.read_text(encoding="utf-8-sig"))
except json.JSONDecodeError as e:
raise click.ClickException(f"Failed to parse config file: {e!s}")
raise click.ClickException(f"配置文件解析失败: {e!s}")
def _save_config(config: dict[str, Any]) -> None:
"""Save config file"""
"""保存配置文件"""
config_path = get_astrbot_root() / "data" / "cmd_config.json"
config_path.write_text(
@@ -116,105 +105,86 @@ def _save_config(config: dict[str, Any]) -> None:
def _set_nested_item(obj: dict[str, Any], path: str, value: Any) -> None:
"""Set a value in a nested dictionary"""
"""设置嵌套字典中的值"""
parts = path.split(".")
for part in parts[:-1]:
if part not in obj:
obj[part] = {}
elif not isinstance(obj[part], dict):
raise click.ClickException(
f"Config path conflict: {'.'.join(parts[: parts.index(part) + 1])} is not a dict",
f"配置路径冲突: {'.'.join(parts[: parts.index(part) + 1])} 不是字典",
)
obj = obj[part]
obj[parts[-1]] = value
def _get_nested_item(obj: dict[str, Any], path: str) -> Any:
"""Get a value from a nested dictionary"""
"""获取嵌套字典中的值"""
parts = path.split(".")
for part in parts:
obj = obj[part]
return obj
def _set_dashboard_password(config: dict[str, Any], raw_password: str) -> None:
"""Set dashboard password hashes and clear password migration flags."""
_set_nested_item(
config,
"dashboard.pbkdf2_password",
hash_dashboard_password(raw_password),
)
_set_nested_item(
config,
"dashboard.password",
hash_md5_dashboard_password(raw_password),
)
_set_nested_item(config, "dashboard.password_storage_upgraded", True)
_set_nested_item(config, "dashboard.password_change_required", False)
@click.group(name="conf")
def conf() -> None:
"""Configuration management commands
def conf():
"""配置管理命令
Supported config keys:
支持的配置项:
- timezone: Timezone setting (e.g. Asia/Shanghai)
- timezone: 时区设置 (例如: Asia/Shanghai)
- log_level: Log level (DEBUG/INFO/WARNING/ERROR/CRITICAL)
- log_level: 日志级别 (DEBUG/INFO/WARNING/ERROR/CRITICAL)
- dashboard.port: Dashboard port
- dashboard.port: Dashboard 端口
- dashboard.username: Dashboard username
- dashboard.username: Dashboard 用户名
- dashboard.password: Dashboard password
- dashboard.password: Dashboard 密码
- callback_api_base: Callback API base URL
- callback_api_base: 回调接口基址
"""
@conf.command(name="set")
@click.argument("key")
@click.argument("value")
def set_config(key: str, value: str) -> None:
"""Set the value of a config item"""
def set_config(key: str, value: str):
"""设置配置项的值"""
if key not in CONFIG_VALIDATORS:
raise click.ClickException(f"Unsupported config key: {key}")
raise click.ClickException(f"不支持的配置项: {key}")
config = _load_config()
try:
old_value = _get_nested_item(config, key)
validated_value = CONFIG_VALIDATORS[key](value)
if key == "dashboard.password":
_set_dashboard_password(config, validated_value)
else:
_set_nested_item(config, key, validated_value)
_set_nested_item(config, key, validated_value)
_save_config(config)
click.echo(f"Config updated: {key}")
click.echo(f"配置已更新: {key}")
if key == "dashboard.password":
click.echo(" Old value: ********")
click.echo(" New value: ********")
click.echo(" 原值: ********")
click.echo(" 新值: ********")
else:
click.echo(f" Old value: {old_value}")
click.echo(f" New value: {validated_value}")
click.echo(f" 原值: {old_value}")
click.echo(f" 新值: {validated_value}")
except KeyError:
raise click.ClickException(f"Unknown config key: {key}")
raise click.ClickException(f"未知的配置项: {key}")
except Exception as e:
raise click.UsageError(f"Failed to set config: {e!s}")
raise click.UsageError(f"设置配置失败: {e!s}")
@conf.command(name="get")
@click.argument("key", required=False)
def get_config(key: str | None = None) -> None:
"""Get the value of a config item. If no key is provided, show all configurable items"""
def get_config(key: str | None = None):
"""获取配置项的值不提供key则显示所有可配置项"""
config = _load_config()
if key:
if key not in CONFIG_VALIDATORS:
raise click.ClickException(f"Unsupported config key: {key}")
raise click.ClickException(f"不支持的配置项: {key}")
try:
value = _get_nested_item(config, key)
@@ -222,11 +192,11 @@ def get_config(key: str | None = None) -> None:
value = "********"
click.echo(f"{key}: {value}")
except KeyError:
raise click.ClickException(f"Unknown config key: {key}")
raise click.ClickException(f"未知的配置项: {key}")
except Exception as e:
raise click.UsageError(f"Failed to get config: {e!s}")
raise click.UsageError(f"获取配置失败: {e!s}")
else:
click.echo("Current config:")
click.echo("当前配置:")
for key in CONFIG_VALIDATORS:
try:
value = (

View File

@@ -1,5 +1,4 @@
import asyncio
import os
from pathlib import Path
import click
@@ -7,26 +6,18 @@ from filelock import FileLock, Timeout
from ..utils import check_dashboard, get_astrbot_root
DASHBOARD_INITIAL_PASSWORD_ENV = "ASTRBOT_DASHBOARD_INITIAL_PASSWORD"
def _initialize_config_from_env(astrbot_root: Path) -> None:
if DASHBOARD_INITIAL_PASSWORD_ENV not in os.environ:
return
from astrbot.core.config.astrbot_config import AstrBotConfig
AstrBotConfig(config_path=str(astrbot_root / "data" / "cmd_config.json"))
click.echo("Initialized data/cmd_config.json with dashboard initial password.")
async def initialize_astrbot(astrbot_root: Path) -> None:
"""Execute AstrBot initialization logic"""
"""执行 AstrBot 初始化逻辑"""
dot_astrbot = astrbot_root / ".astrbot"
if not dot_astrbot.exists():
click.echo(f"Current Directory: {astrbot_root}")
click.echo(
"如果你确认这是 Astrbot root directory, 你需要在当前目录下创建一个 .astrbot 文件标记该目录为 AstrBot 的数据目录。",
)
if click.confirm(
f"Install AstrBot to this directory? {astrbot_root}",
f"请检查当前目录是否正确,确认正确请回车: {astrbot_root}",
default=True,
abort=True,
):
@@ -44,14 +35,12 @@ async def initialize_astrbot(astrbot_root: Path) -> None:
path.mkdir(parents=True, exist_ok=True)
click.echo(f"{'Created' if not path.exists() else 'Directory exists'}: {path}")
_initialize_config_from_env(astrbot_root)
await check_dashboard(astrbot_root / "data")
@click.command()
def init() -> None:
"""Initialize AstrBot"""
"""初始化 AstrBot"""
click.echo("Initializing AstrBot...")
astrbot_root = get_astrbot_root()
lock_file = astrbot_root / "astrbot.lock"
@@ -60,11 +49,8 @@ def init() -> None:
try:
with lock.acquire():
asyncio.run(initialize_astrbot(astrbot_root))
click.echo("Done! You can now run 'astrbot run' to start AstrBot")
except Timeout:
raise click.ClickException(
"Cannot acquire lock file. Please check if another instance is running"
)
raise click.ClickException("无法获取锁文件,请检查是否有其他实例正在运行")
except Exception as e:
raise click.ClickException(f"Initialization failed: {e!s}")
raise click.ClickException(f"初始化失败: {e!s}")

View File

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

View File

@@ -15,26 +15,24 @@ from ..utils import (
@click.group()
def plug() -> None:
"""Plugin management"""
def plug():
"""插件管理"""
def _get_data_path() -> Path:
base = get_astrbot_root()
if not check_astrbot_root(base):
raise click.ClickException(
f"{base} is not a valid AstrBot root directory. Use 'astrbot init' to initialize",
f"{base}不是有效的 AstrBot 根目录,如需初始化请使用 astrbot init",
)
return (base / "data").resolve()
def display_plugins(plugins, title=None, color=None) -> None:
def display_plugins(plugins, title=None, color=None):
if title:
click.echo(click.style(title, fg=color, bold=True))
click.echo(
f"{'Name':<20} {'Version':<10} {'Status':<10} {'Author':<15} {'Description':<30}"
)
click.echo(f"{'名称':<20} {'版本':<10} {'状态':<10} {'作者':<15} {'描述':<30}")
click.echo("-" * 85)
for p in plugins:
@@ -47,31 +45,31 @@ def display_plugins(plugins, title=None, color=None) -> None:
@plug.command()
@click.argument("name")
def new(name: str) -> None:
"""Create a new plugin"""
def new(name: str):
"""创建新插件"""
base_path = _get_data_path()
plug_path = base_path / "plugins" / name
if plug_path.exists():
raise click.ClickException(f"Plugin {name} already exists")
raise click.ClickException(f"插件 {name} 已存在")
author = click.prompt("Enter plugin author", type=str)
desc = click.prompt("Enter plugin description", type=str)
version = click.prompt("Enter plugin version", type=str)
author = click.prompt("请输入插件作者", type=str)
desc = click.prompt("请输入插件描述", type=str)
version = click.prompt("请输入插件版本", type=str)
if not re.match(r"^\d+\.\d+(\.\d+)?$", version.lower().lstrip("v")):
raise click.ClickException("Version must be in x.y or x.y.z format")
repo = click.prompt("Enter plugin repository URL:", type=str)
raise click.ClickException("版本号必须为 x.y x.y.z 格式")
repo = click.prompt("请输入插件仓库:", type=str)
if not repo.startswith("http"):
raise click.ClickException("Repository URL must start with http")
raise click.ClickException("仓库地址必须以 http 开头")
click.echo("Downloading plugin template...")
click.echo("下载插件模板...")
get_git_repo(
"https://github.com/Soulter/helloworld",
plug_path,
)
click.echo("Rewriting plugin metadata...")
# Rewrite metadata.yaml
click.echo("重写插件信息...")
# 重写 metadata.yaml
with open(plug_path / "metadata.yaml", "w", encoding="utf-8") as f:
f.write(
f"name: {name}\n"
@@ -81,13 +79,11 @@ def new(name: str) -> None:
f"repo: {repo}\n",
)
# Rewrite README.md
# 重写 README.md
with open(plug_path / "README.md", "w", encoding="utf-8") as f:
f.write(
f"# {name}\n\n{desc}\n\n# Support\n\n[Documentation](https://docs.astrbot.app)\n"
)
f.write(f"# {name}\n\n{desc}\n\n# 支持\n\n[帮助文档](https://astrbot.app)\n")
# Rewrite main.py
# 重写 main.py
with open(plug_path / "main.py", encoding="utf-8") as f:
content = f.read()
@@ -99,54 +95,54 @@ def new(name: str) -> None:
with open(plug_path / "main.py", "w", encoding="utf-8") as f:
f.write(new_content)
click.echo(f"Plugin {name} created successfully")
click.echo(f"插件 {name} 创建成功")
@plug.command()
@click.option("--all", "-a", is_flag=True, help="List uninstalled plugins")
def list(all: bool) -> None:
"""List plugins"""
@click.option("--all", "-a", is_flag=True, help="列出未安装的插件")
def list(all: bool):
"""列出插件"""
base_path = _get_data_path()
plugins = build_plug_list(base_path / "plugins")
# Unpublished plugins
# 未发布的插件
not_published_plugins = [
p for p in plugins if p["status"] == PluginStatus.NOT_PUBLISHED
]
if not_published_plugins:
display_plugins(not_published_plugins, "Unpublished Plugins", "red")
display_plugins(not_published_plugins, "未发布的插件", "red")
# Plugins needing update
# 需要更新的插件
need_update_plugins = [
p for p in plugins if p["status"] == PluginStatus.NEED_UPDATE
]
if need_update_plugins:
display_plugins(need_update_plugins, "Plugins Needing Update", "yellow")
display_plugins(need_update_plugins, "需要更新的插件", "yellow")
# Installed plugins
# 已安装的插件
installed_plugins = [p for p in plugins if p["status"] == PluginStatus.INSTALLED]
if installed_plugins:
display_plugins(installed_plugins, "Installed Plugins", "green")
display_plugins(installed_plugins, "已安装的插件", "green")
# Uninstalled plugins
# 未安装的插件
not_installed_plugins = [
p for p in plugins if p["status"] == PluginStatus.NOT_INSTALLED
]
if not_installed_plugins and all:
display_plugins(not_installed_plugins, "Uninstalled Plugins", "blue")
display_plugins(not_installed_plugins, "未安装的插件", "blue")
if (
not any([not_published_plugins, need_update_plugins, installed_plugins])
and not all
):
click.echo("No plugins installed")
click.echo("未安装任何插件")
@plug.command()
@click.argument("name")
@click.option("--proxy", help="Proxy server address")
def install(name: str, proxy: str | None) -> None:
"""Install a plugin"""
@click.option("--proxy", help="代理服务器地址")
def install(name: str, proxy: str | None):
"""安装插件"""
base_path = _get_data_path()
plug_path = base_path / "plugins"
plugins = build_plug_list(base_path / "plugins")
@@ -161,40 +157,38 @@ def install(name: str, proxy: str | None) -> None:
)
if not plugin:
raise click.ClickException(f"Plugin {name} not found or already installed")
raise click.ClickException(f"未找到可安装的插件 {name},可能是不存在或已安装")
manage_plugin(plugin, plug_path, is_update=False, proxy=proxy)
@plug.command()
@click.argument("name")
def remove(name: str) -> None:
"""Uninstall a plugin"""
def remove(name: str):
"""卸载插件"""
base_path = _get_data_path()
plugins = build_plug_list(base_path / "plugins")
plugin = next((p for p in plugins if p["name"] == name), None)
if not plugin or not plugin.get("local_path"):
raise click.ClickException(f"Plugin {name} does not exist or is not installed")
raise click.ClickException(f"插件 {name} 不存在或未安装")
plugin_path = plugin["local_path"]
click.confirm(
f"Are you sure you want to uninstall plugin {name}?", default=False, abort=True
)
click.confirm(f"确定要卸载插件 {name} 吗?", default=False, abort=True)
try:
shutil.rmtree(plugin_path)
click.echo(f"Plugin {name} has been uninstalled")
click.echo(f"插件 {name} 已卸载")
except Exception as e:
raise click.ClickException(f"Failed to uninstall plugin {name}: {e}")
raise click.ClickException(f"卸载插件 {name} 失败: {e}")
@plug.command()
@click.argument("name", required=False)
@click.option("--proxy", help="GitHub proxy address")
def update(name: str, proxy: str | None) -> None:
"""Update plugins"""
@click.option("--proxy", help="Github代理地址")
def update(name: str, proxy: str | None):
"""更新插件"""
base_path = _get_data_path()
plug_path = base_path / "plugins"
plugins = build_plug_list(base_path / "plugins")
@@ -210,9 +204,7 @@ def update(name: str, proxy: str | None) -> None:
)
if not plugin:
raise click.ClickException(
f"Plugin {name} does not need updating or cannot be updated"
)
raise click.ClickException(f"插件 {name} 不需要更新或无法更新")
manage_plugin(plugin, plug_path, is_update=True, proxy=proxy)
else:
@@ -221,20 +213,20 @@ def update(name: str, proxy: str | None) -> None:
]
if not need_update_plugins:
click.echo("No plugins need updating")
click.echo("没有需要更新的插件")
return
click.echo(f"Found {len(need_update_plugins)} plugin(s) needing update")
click.echo(f"发现 {len(need_update_plugins)} 个插件需要更新")
for plugin in need_update_plugins:
plugin_name = plugin["name"]
click.echo(f"Updating plugin {plugin_name}...")
click.echo(f"正在更新插件 {plugin_name}...")
manage_plugin(plugin, plug_path, is_update=True, proxy=proxy)
@plug.command()
@click.argument("query")
def search(query: str) -> None:
"""Search for plugins"""
def search(query: str):
"""搜索插件"""
base_path = _get_data_path()
plugins = build_plug_list(base_path / "plugins")
@@ -247,7 +239,7 @@ def search(query: str) -> None:
]
if not matched_plugins:
click.echo(f"No plugins matching '{query}' found")
click.echo(f"未找到匹配 '{query}' 的插件")
return
display_plugins(matched_plugins, f"Search results: '{query}'", "cyan")
display_plugins(matched_plugins, f"搜索结果: '{query}'", "cyan")

View File

@@ -9,11 +9,9 @@ from filelock import FileLock, Timeout
from ..utils import check_astrbot_root, check_dashboard, get_astrbot_root
DASHBOARD_RESET_PASSWORD_ENV = "ASTRBOT_RESET_DASHBOARD_PASSWORD"
async def run_astrbot(astrbot_root: Path) -> None:
"""Run AstrBot"""
async def run_astrbot(astrbot_root: Path):
"""运行 AstrBot"""
from astrbot.core import LogBroker, LogManager, db_helper, logger
from astrbot.core.initial_loader import InitialLoader
@@ -28,23 +26,18 @@ async def run_astrbot(astrbot_root: Path) -> None:
await core_lifecycle.start()
@click.option("--reload", "-r", is_flag=True, help="Auto-reload plugins")
@click.option("--port", "-p", help="AstrBot Dashboard port", required=False, type=str)
@click.option(
"--reset-password",
is_flag=True,
help="Reset dashboard initial password on startup",
)
@click.option("--reload", "-r", is_flag=True, help="插件自动重载")
@click.option("--port", "-p", help="Astrbot Dashboard端口", required=False, type=str)
@click.command()
def run(reload: bool, port: str | None, reset_password: bool) -> None:
"""Run AstrBot"""
def run(reload: bool, port: str) -> None:
"""运行 AstrBot"""
try:
os.environ["ASTRBOT_CLI"] = "1"
astrbot_root = get_astrbot_root()
if not check_astrbot_root(astrbot_root):
raise click.ClickException(
f"{astrbot_root} is not a valid AstrBot root directory. Use 'astrbot init' to initialize",
f"{astrbot_root}不是有效的 AstrBot 根目录,如需初始化请使用 astrbot init",
)
os.environ["ASTRBOT_ROOT"] = str(astrbot_root)
@@ -54,21 +47,16 @@ def run(reload: bool, port: str | None, reset_password: bool) -> None:
os.environ["DASHBOARD_PORT"] = port
if reload:
click.echo("Plugin auto-reload enabled")
click.echo("启用插件自动重载")
os.environ["ASTRBOT_RELOAD"] = "1"
if reset_password:
os.environ[DASHBOARD_RESET_PASSWORD_ENV] = "1"
lock_file = astrbot_root / "astrbot.lock"
lock = FileLock(lock_file, timeout=5)
with lock.acquire():
asyncio.run(run_astrbot(astrbot_root))
except KeyboardInterrupt:
click.echo("AstrBot has been shut down.")
click.echo("AstrBot 已关闭...")
except Timeout:
raise click.ClickException(
"Cannot acquire lock file. Please check if another instance is running"
)
raise click.ClickException("无法获取锁文件,请检查是否有其他实例正在运行")
except Exception as e:
raise click.ClickException(f"Runtime error: {e}\n{traceback.format_exc()}")
raise click.ClickException(f"运行时出现错误: {e}\n{traceback.format_exc()}")

View File

@@ -2,12 +2,9 @@ from pathlib import Path
import click
# Static assets bundled inside the installed wheel (built by hatch_build.py).
_BUNDLED_DIST = Path(__file__).parent.parent.parent / "dashboard" / "dist"
def check_astrbot_root(path: str | Path) -> bool:
"""Check if the path is an AstrBot root directory"""
"""检查路径是否为 AstrBot 根目录"""
if not isinstance(path, Path):
path = Path(path)
if not path.exists() or not path.is_dir():
@@ -18,48 +15,43 @@ def check_astrbot_root(path: str | Path) -> bool:
def get_astrbot_root() -> Path:
"""Get the AstrBot root directory path"""
"""获取Astrbot根目录路径"""
return Path.cwd()
async def check_dashboard(astrbot_root: Path) -> None:
"""Check if the dashboard is installed"""
"""检查是否安装了dashboard"""
from astrbot.core.config.default import VERSION
from astrbot.core.utils.io import download_dashboard, get_dashboard_version
from .version_comparator import VersionComparator
# If the wheel ships bundled dashboard assets, no network download is needed.
if _BUNDLED_DIST.exists():
click.echo("Dashboard is bundled with the package skipping download.")
return
try:
dashboard_version = await get_dashboard_version()
match dashboard_version:
case None:
click.echo("Dashboard is not installed")
click.echo("未安装管理面板")
if click.confirm(
"Install dashboard?",
"是否安装管理面板?",
default=True,
abort=True,
):
click.echo("Installing dashboard...")
click.echo("正在安装管理面板...")
await download_dashboard(
path="data/dashboard.zip",
extract_path=str(astrbot_root),
version=f"v{VERSION}",
latest=False,
)
click.echo("Dashboard installed successfully")
click.echo("管理面板安装完成")
case str():
if VersionComparator.compare_version(VERSION, dashboard_version) <= 0:
click.echo("Dashboard is already up to date")
click.echo("管理面板已是最新版本")
return
try:
version = dashboard_version.split("v")[1]
click.echo(f"Dashboard version: {version}")
click.echo(f"管理面板版本: {version}")
await download_dashboard(
path="data/dashboard.zip",
extract_path=str(astrbot_root),
@@ -67,10 +59,10 @@ async def check_dashboard(astrbot_root: Path) -> None:
latest=False,
)
except Exception as e:
click.echo(f"Failed to download dashboard: {e}")
click.echo(f"下载管理面板失败: {e}")
return
except FileNotFoundError:
click.echo("Initializing dashboard directory...")
click.echo("初始化管理面板目录...")
try:
await download_dashboard(
path=str(astrbot_root / "dashboard.zip"),
@@ -78,7 +70,7 @@ async def check_dashboard(astrbot_root: Path) -> None:
version=f"v{VERSION}",
latest=False,
)
click.echo("Dashboard initialized successfully")
click.echo("管理面板初始化完成")
except Exception as e:
click.echo(f"Failed to download dashboard: {e}")
click.echo(f"下载管理面板失败: {e}")
return

View File

@@ -13,22 +13,22 @@ from .version_comparator import VersionComparator
class PluginStatus(str, Enum):
INSTALLED = "installed"
NEED_UPDATE = "needs-update"
NOT_INSTALLED = "not-installed"
NOT_PUBLISHED = "unpublished"
INSTALLED = "已安装"
NEED_UPDATE = "需更新"
NOT_INSTALLED = "未安装"
NOT_PUBLISHED = "未发布"
def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
"""Download code from a Git repository and extract to the specified path"""
def get_git_repo(url: str, target_path: Path, proxy: str | None = None):
"""从 Git 仓库下载代码并解压到指定路径"""
temp_dir = Path(tempfile.mkdtemp())
try:
# Parse repository info
# 解析仓库信息
repo_namespace = url.split("/")[-2:]
author = repo_namespace[0]
repo = repo_namespace[1]
# Try to get the latest release
# 尝试获取最新的 release
release_url = f"https://api.github.com/repos/{author}/{repo}/releases"
try:
with httpx.Client(
@@ -40,21 +40,21 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
releases = resp.json()
if releases:
# Use the latest release
# 使用最新的 release
download_url = releases[0]["zipball_url"]
else:
# No release found, use default branch
click.echo(f"Downloading {author}/{repo} from default branch")
# 没有 release,使用默认分支
click.echo(f"正在从默认分支下载 {author}/{repo}")
download_url = f"https://github.com/{author}/{repo}/archive/refs/heads/master.zip"
except Exception as e:
click.echo(f"Failed to get release info: {e}. Using provided URL directly")
click.echo(f"获取 release 信息失败: {e},将直接使用提供的 URL")
download_url = url
# Apply proxy
# 应用代理
if proxy:
download_url = f"{proxy}/{download_url}"
# Download and extract
# 下载并解压
with httpx.Client(
proxy=proxy if proxy else None,
follow_redirects=True,
@@ -65,7 +65,7 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
and "archive/refs/heads/master.zip" in download_url
):
alt_url = download_url.replace("master.zip", "main.zip")
click.echo("Branch 'master' not found, trying 'main' branch")
click.echo("master 分支不存在,尝试下载 main 分支")
resp = client.get(alt_url)
resp.raise_for_status()
else:
@@ -84,13 +84,13 @@ def get_git_repo(url: str, target_path: Path, proxy: str | None = None) -> None:
def load_yaml_metadata(plugin_dir: Path) -> dict:
"""Load plugin metadata from metadata.yaml file
""" metadata.yaml 文件加载插件元数据
Args:
plugin_dir: Plugin directory path
plugin_dir: 插件目录路径
Returns:
dict: Dictionary containing metadata, or empty dict if loading fails
dict: 包含元数据的字典,如果读取失败则返回空字典
"""
yaml_path = plugin_dir / "metadata.yaml"
@@ -98,34 +98,33 @@ def load_yaml_metadata(plugin_dir: Path) -> dict:
try:
return yaml.safe_load(yaml_path.read_text(encoding="utf-8")) or {}
except Exception as e:
click.echo(f"Failed to read {yaml_path}: {e}", err=True)
click.echo(f"读取 {yaml_path} 失败: {e}", err=True)
return {}
def build_plug_list(plugins_dir: Path) -> list:
"""Build plugin list containing local and online plugin information
"""构建插件列表,包含本地和在线插件信息
Args:
plugins_dir (Path): Plugin directory path
plugins_dir (Path): 插件目录路径
Returns:
list: List of dicts containing plugin information
list: 包含插件信息的字典列表
"""
# Get local plugin info
# 获取本地插件信息
result = []
if plugins_dir.is_dir():
for plugin_dir in plugins_dir.iterdir():
if not plugin_dir.is_dir():
continue
if plugins_dir.exists():
for plugin_name in [d.name for d in plugins_dir.glob("*") if d.is_dir()]:
plugin_dir = plugins_dir / plugin_name
# Load metadata from metadata.yaml
# metadata.yaml 加载元数据
metadata = load_yaml_metadata(plugin_dir)
if "desc" not in metadata and "description" in metadata:
metadata["desc"] = metadata["description"]
# If metadata loaded successfully, add to result list
# 如果成功加载元数据,添加到结果列表
if metadata and all(
k in metadata for k in ["name", "desc", "version", "author", "repo"]
):
@@ -141,45 +140,52 @@ def build_plug_list(plugins_dir: Path) -> list:
},
)
# Get online plugin list
online_plugins_dict = {}
# 获取在线插件列表
online_plugins = []
try:
with httpx.Client() as client:
resp = client.get("https://api.soulter.top/astrbot/plugins")
resp.raise_for_status()
data = resp.json()
for plugin_id, plugin_info in data.items():
online_plugins_dict[str(plugin_id)] = {
"name": str(plugin_id),
"desc": str(plugin_info.get("desc", "")),
"version": str(plugin_info.get("version", "")),
"author": str(plugin_info.get("author", "")),
"repo": str(plugin_info.get("repo", "")),
"status": PluginStatus.NOT_INSTALLED,
"local_path": None,
}
online_plugins.append(
{
"name": str(plugin_id),
"desc": str(plugin_info.get("desc", "")),
"version": str(plugin_info.get("version", "")),
"author": str(plugin_info.get("author", "")),
"repo": str(plugin_info.get("repo", "")),
"status": PluginStatus.NOT_INSTALLED,
"local_path": None,
},
)
except Exception as e:
click.echo(f"Failed to get online plugin list: {e}", err=True)
click.echo(f"获取在线插件列表失败: {e}", err=True)
# Compare with online plugins and update status
# 与在线插件比对,更新状态
online_plugin_names = {plugin["name"] for plugin in online_plugins}
for local_plugin in result:
online_plugin = online_plugins_dict.pop(local_plugin["name"], None)
if online_plugin is None:
# Local plugin is not published online
local_plugin["status"] = PluginStatus.NOT_PUBLISHED
continue
if (
VersionComparator.compare_version(
local_plugin["version"],
online_plugin["version"],
if local_plugin["name"] in online_plugin_names:
# 查找对应的在线插件
online_plugin = next(
p for p in online_plugins if p["name"] == local_plugin["name"]
)
< 0
):
local_plugin["status"] = PluginStatus.NEED_UPDATE
if (
VersionComparator.compare_version(
local_plugin["version"],
online_plugin["version"],
)
< 0
):
local_plugin["status"] = PluginStatus.NEED_UPDATE
else:
# 本地插件未在线上发布
local_plugin["status"] = PluginStatus.NOT_PUBLISHED
# Add uninstalled online plugins
result.extend(online_plugins_dict.values())
# 添加未安装的在线插件
for online_plugin in online_plugins:
if not any(plugin["name"] == online_plugin["name"] for plugin in result):
result.append(online_plugin)
return result
@@ -190,19 +196,19 @@ def manage_plugin(
is_update: bool = False,
proxy: str | None = None,
) -> None:
"""Install or update a plugin
"""安装或更新插件
Args:
plugin (dict): Plugin info dict
plugins_dir (Path): Plugins directory
is_update (bool, optional): Whether this is an update operation. Defaults to False
proxy (str, optional): Proxy server address
plugin (dict): 插件信息字典
plugins_dir (Path): 插件目录
is_update (bool, optional): 是否为更新操作. 默认为 False
proxy (str, optional): 代理服务器地址
"""
plugin_name = plugin["name"]
repo_url = plugin["repo"]
# If updating and local path exists, use it directly
# 如果是更新且有本地路径,直接使用本地路径
if is_update and plugin.get("local_path"):
target_path = Path(plugin["local_path"])
else:
@@ -210,13 +216,11 @@ def manage_plugin(
backup_path = Path(f"{target_path}_backup") if is_update else None
# Check if plugin exists
# 检查插件是否存在
if is_update and not target_path.exists():
raise click.ClickException(
f"Plugin {plugin_name} is not installed and cannot be updated"
)
raise click.ClickException(f"插件 {plugin_name} 未安装,无法更新")
# Backup existing plugin
# 备份现有插件
if is_update and backup_path is not None and backup_path.exists():
shutil.rmtree(backup_path)
if is_update and backup_path is not None:
@@ -224,21 +228,19 @@ def manage_plugin(
try:
click.echo(
f"{'Updating' if is_update else 'Downloading'} plugin {plugin_name} from {repo_url}...",
f"正在从 {repo_url} {'更新' if is_update else '下载'}插件 {plugin_name}...",
)
get_git_repo(repo_url, target_path, proxy)
# Update succeeded, delete backup
# 更新成功,删除备份
if is_update and backup_path is not None and backup_path.exists():
shutil.rmtree(backup_path)
click.echo(
f"Plugin {plugin_name} {'updated' if is_update else 'installed'} successfully"
)
click.echo(f"插件 {plugin_name} {'更新' if is_update else '安装'}成功")
except Exception as e:
if target_path.exists():
shutil.rmtree(target_path, ignore_errors=True)
if is_update and backup_path is not None and backup_path.exists():
shutil.move(backup_path, target_path)
raise click.ClickException(
f"Error {'updating' if is_update else 'installing'} plugin {plugin_name}: {e}",
f"{'更新' if is_update else '安装'}插件 {plugin_name} 时出错: {e}",
)

View File

@@ -1,4 +1,4 @@
"""Copied from astrbot.core.utils.version_comparator"""
"""拷贝自 astrbot.core.utils.version_comparator"""
import re
@@ -6,11 +6,11 @@ import re
class VersionComparator:
@staticmethod
def compare_version(v1: str, v2: str) -> int:
"""Compare version numbers according to Semver semantics. Supports version numbers with more than 3 digits and handles pre-release tags.
"""根据 Semver 语义版本规范来比较版本号的大小。支持不仅局限于 3 个数字的版本号,并处理预发布标签。
Reference: https://semver.org/
参考: https://semver.org/lang/zh-CN/
Returns 1 if v1 > v2, -1 if v1 < v2, 0 if v1 == v2.
返回 1 表示 v1 > v2,返回 -1 表示 v1 < v2,返回 0 表示 v1 = v2
"""
v1 = v1.lower().replace("v", "")
v2 = v2.lower().replace("v", "")
@@ -24,7 +24,7 @@ class VersionComparator:
return [], None
major_minor_patch = match.group(1).split(".")
prerelease = match.group(2)
# buildmetadata = match.group(3) # Build metadata is ignored in comparison
# buildmetadata = match.group(3) # 构建元数据在比较时忽略
parts = [int(x) for x in major_minor_patch]
prerelease = VersionComparator._split_prerelease(prerelease)
return parts, prerelease
@@ -32,7 +32,7 @@ class VersionComparator:
v1_parts, v1_prerelease = split_version(v1)
v2_parts, v2_prerelease = split_version(v2)
# Compare numeric parts
# 比较数字部分
length = max(len(v1_parts), len(v2_parts))
v1_parts.extend([0] * (length - len(v1_parts)))
v2_parts.extend([0] * (length - len(v2_parts)))
@@ -43,11 +43,11 @@ class VersionComparator:
if v1_parts[i] < v2_parts[i]:
return -1
# Compare pre-release tags
# 比较预发布标签
if v1_prerelease is None and v2_prerelease is not None:
return 1 # Version without pre-release tag is higher than one with it
return 1 # 没有预发布标签的版本高于有预发布标签的版本
if v1_prerelease is not None and v2_prerelease is None:
return -1 # Version with pre-release tag is lower than one without it
return -1 # 有预发布标签的版本低于没有预发布标签的版本
if v1_prerelease is not None and v2_prerelease is not None:
len_pre = max(len(v1_prerelease), len(v2_prerelease))
for i in range(len_pre):
@@ -72,9 +72,9 @@ class VersionComparator:
return 1
if p1 < p2:
return -1
return 0 # Pre-release tags are identical
return 0 # 预发布标签完全相同
return 0 # Both numeric parts and pre-release tags are equal
return 0 # 数字部分和预发布标签都相同
@staticmethod
def _split_prerelease(prerelease):

View File

@@ -4,21 +4,7 @@ from astrbot.core.config import AstrBotConfig
from astrbot.core.config.default import DB_PATH
from astrbot.core.db.sqlite import SQLiteDatabase
from astrbot.core.file_token_service import FileTokenService
from astrbot.core.utils.pip_installer import (
DependencyConflictError as DependencyConflictError,
)
from astrbot.core.utils.pip_installer import (
PipInstaller,
)
from astrbot.core.utils.requirements_utils import (
RequirementsPrecheckFailed as RequirementsPrecheckFailed,
)
from astrbot.core.utils.requirements_utils import (
find_missing_requirements as find_missing_requirements,
)
from astrbot.core.utils.requirements_utils import (
find_missing_requirements_or_raise as find_missing_requirements_or_raise,
)
from astrbot.core.utils.pip_installer import PipInstaller
from astrbot.core.utils.shared_preferences import SharedPreferences
from astrbot.core.utils.t2i.renderer import HtmlRenderer
@@ -28,7 +14,7 @@ from .utils.astrbot_path import get_astrbot_data_path
# 初始化数据存储文件夹
os.makedirs(get_astrbot_data_path(), exist_ok=True)
DEMO_MODE = os.getenv("DEMO_MODE", "False").strip().lower() in ("true", "1", "t")
DEMO_MODE = os.getenv("DEMO_MODE", False)
astrbot_config = AstrBotConfig()
t2i_base_url = astrbot_config.get("t2i_endpoint", "https://t2i.soulter.top/text2img")

View File

@@ -1,11 +1,6 @@
from typing import TYPE_CHECKING, Protocol, runtime_checkable
from ...provider.modalities import (
log_context_sanitize_stats,
sanitize_contexts_by_modalities,
)
from ..message import Message
from .token_counter import EstimateTokenCounter, TokenCounter
if TYPE_CHECKING:
from astrbot import logger
@@ -62,9 +57,7 @@ class TruncateByTurnsCompressor:
Truncates the message list by removing older turns.
"""
def __init__(
self, truncate_turns: int = 1, compression_threshold: float = 0.82
) -> None:
def __init__(self, truncate_turns: int = 1, compression_threshold: float = 0.82):
"""Initialize the truncate by turns compressor.
Args:
@@ -101,58 +94,83 @@ class TruncateByTurnsCompressor:
return truncated_messages
def _extract_system_messages(messages: list[Message]) -> list[Message]:
"""Return the leading system messages from a message list."""
result = []
for msg in messages:
if msg.role == "system":
result.append(msg)
else:
def split_history(
messages: list[Message], keep_recent: int
) -> tuple[list[Message], list[Message], list[Message]]:
"""Split the message list into system messages, messages to summarize, and recent messages.
Ensures that the split point is between complete user-assistant pairs to maintain conversation flow.
Args:
messages: The original message list.
keep_recent: The number of latest messages to keep.
Returns:
tuple: (system_messages, messages_to_summarize, recent_messages)
"""
# keep the system messages
first_non_system = 0
for i, msg in enumerate(messages):
if msg.role != "system":
first_non_system = i
break
return result
system_messages = messages[:first_non_system]
non_system_messages = messages[first_non_system:]
if len(non_system_messages) <= keep_recent:
return system_messages, [], non_system_messages
# Find the split point, ensuring recent_messages starts with a user message
# This maintains complete conversation turns
split_index = len(non_system_messages) - keep_recent
# Search backward from split_index to find the first user message
# This ensures recent_messages starts with a user message (complete turn)
while split_index > 0 and non_system_messages[split_index].role != "user":
# TODO: +=1 or -=1 ? calculate by tokens
split_index -= 1
# If we couldn't find a user message, keep all messages as recent
if split_index == 0:
return system_messages, [], non_system_messages
messages_to_summarize = non_system_messages[:split_index]
recent_messages = non_system_messages[split_index:]
return system_messages, messages_to_summarize, recent_messages
class LLMSummaryCompressor:
"""LLM-based summary compressor.
Uses LLM to summarize old conversation history while keeping a recent token
budget as exact context.
Uses LLM to summarize the old conversation history, keeping the latest messages.
"""
TASK_CONTINUATION_INSTRUCTION = (
"If a task appears to be in progress, end the summary with the latest "
"known result and the concrete next step to continue the task."
)
def __init__(
self,
provider: "Provider",
keep_recent_ratio: float = 0.15,
keep_recent: int = 4,
instruction_text: str | None = None,
compression_threshold: float = 0.82,
token_counter: TokenCounter | None = None,
) -> None:
):
"""Initialize the LLM summary compressor.
Args:
provider: The LLM provider instance.
keep_recent_ratio: Ratio of current context tokens to keep as recent
exact context. Clamped to 0-0.3.
keep_recent: The number of latest messages to keep (default: 4).
instruction_text: Custom instruction for summary generation.
compression_threshold: The compression trigger threshold (default: 0.82).
"""
self.provider = provider
self.keep_recent_ratio = min(max(float(keep_recent_ratio), 0.0), 0.3)
self.keep_recent = keep_recent
self.compression_threshold = compression_threshold
self.token_counter = token_counter or EstimateTokenCounter()
self.instruction_text = instruction_text or (
"Based on our full conversation history, produce a concise summary of key takeaways and/or project progress.\n"
"The primary goal of this summary is to enable seamless continuation of the work that follows.\n"
"1. Systematically cover all core topics discussed and the final conclusion/outcome for each; clearly highlight the latest primary focus.\n"
"2. If any tools were used, summarize tool usage (total call count) and extract the most valuable insights from tool outputs.\n"
"3. If any materials (files, documents, code, references) were read during the conversation that may be helpful for subsequent work, list each one with its scope and path.\n"
"4. If there was an initial user goal, state it first and describe the current progress/status.\n"
"5. Write the summary in the user's language.\n"
"3. If there was an initial user goal, state it first and describe the current progress/status.\n"
"4. Write the summary in the user's language.\n"
)
def should_compress(
@@ -173,120 +191,39 @@ class LLMSummaryCompressor:
usage_rate = current_tokens / max_tokens
return usage_rate > self.compression_threshold
def _split_recent_rounds_by_token_ratio(
self,
rounds: list[list[Message]],
total_tokens: int,
) -> tuple[list[list[Message]], list[list[Message]]]:
"""Split rounds into summarised history and exact recent context.
The token budget is computed from the current context token count and
`keep_recent_ratio`, then floored by `int(...)`. Mapping that budget to
rounds is round-granular: a positive ratio always preserves the latest
whole round, even if that round itself exceeds the budget. Earlier
rounds are added only while the accumulated recent rounds stay within
the budget. No round is split.
"""
if not rounds or self.keep_recent_ratio <= 0 or total_tokens <= 0:
return rounds, []
budget = max(1, int(total_tokens * self.keep_recent_ratio))
used = 0
recent_start = len(rounds)
for idx in range(len(rounds) - 1, -1, -1):
round_tokens = self.token_counter.count_tokens(rounds[idx])
if used > 0 and used + round_tokens > budget:
break
used += round_tokens
recent_start = idx
return rounds[:recent_start], rounds[recent_start:]
async def __call__(self, messages: list[Message]) -> list[Message]:
"""Use LLM to generate a summary of the conversation history.
Uses round-based splitting to preserve user-assistant turn boundaries.
On LLM failure, returns the original messages unchanged (caller should
fall back to truncation).
Process:
1. Divide messages: keep the system message and the latest N messages.
2. Send the old messages + the instruction message to the LLM.
3. Reconstruct the message list: [system message, summary message, latest messages].
"""
from .round_utils import split_into_rounds
if len(messages) <= self.keep_recent + 1:
return messages
rounds = split_into_rounds(messages)
message_rounds = [
[seg for seg in rnd if isinstance(seg, Message)] for rnd in rounds
]
total_tokens = self.token_counter.count_tokens(messages)
old_rounds, recent_rounds = self._split_recent_rounds_by_token_ratio(
message_rounds,
total_tokens,
system_messages, messages_to_summarize, recent_messages = split_history(
messages, self.keep_recent
)
# The latest user message is the active request. Keep its whole round
# exact even when the ratio is 0 or the ratio budget would otherwise
# summarize every round.
if messages and messages[-1].role == "user" and old_rounds:
latest_old_round = old_rounds[-1]
if latest_old_round and latest_old_round[-1] is messages[-1]:
old_rounds = old_rounds[:-1]
recent_rounds = [latest_old_round, *recent_rounds]
if not messages_to_summarize:
return messages
if not old_rounds:
if recent_rounds and messages and messages[-1].role == "user":
return messages
old_rounds = message_rounds
recent_rounds = []
# build payload
instruction_message = Message(role="user", content=self.instruction_text)
llm_payload = messages_to_summarize + [instruction_message]
summary_contexts = [msg for rnd in old_rounds for msg in rnd]
if not any(msg.role != "system" for msg in summary_contexts):
if recent_rounds and messages and messages[-1].role == "user":
return messages
old_rounds = message_rounds
recent_rounds = []
summary_contexts = [msg for rnd in old_rounds for msg in rnd]
if not any(msg.role != "system" for msg in summary_contexts):
return messages
if summary_contexts[-1].role != "assistant":
summary_contexts.append(
Message(
role="assistant",
content="Acknowledged.",
)
)
summary_contexts.append(
Message(
role="user",
content=(
"Generate a summary of our previous conversation history.\n"
f"<extra_instruction>\n{self.instruction_text}\n\n"
f"{self.TASK_CONTINUATION_INSTRUCTION}</extra_instruction>\n"
"Respond ONLY with the summary content, without any additional text or formatting."
),
)
)
sanitized_summary_contexts, sanitize_stats = sanitize_contexts_by_modalities(
summary_contexts,
self.provider.provider_config.get("modalities", None),
)
log_context_sanitize_stats(sanitize_stats)
# Generate summary
# generate summary
try:
response = await self.provider.text_chat(
contexts=sanitized_summary_contexts,
)
summary_content = (response.completion_text or "").strip()
response = await self.provider.text_chat(contexts=llm_payload)
summary_content = response.completion_text
except Exception as e:
logger.error(f"Failed to generate summary: {e}")
return messages
if not summary_content:
logger.warning("LLM context compression returned an empty summary.")
return messages
# Build result: system messages + summary pair + recent rounds
result = _extract_system_messages(messages)
# build result
result = []
result.extend(system_messages)
result.append(
Message(
@@ -301,10 +238,6 @@ class LLMSummaryCompressor:
)
)
# Flatten recent rounds back to message list
for rnd in recent_rounds:
for seg in rnd:
if isinstance(seg, Message):
result.append(seg)
result.extend(recent_messages)
return result

View File

@@ -25,8 +25,8 @@ class ContextConfig:
"""
llm_compress_instruction: str | None = None
"""Instruction prompt for LLM-based compression."""
llm_compress_keep_recent_ratio: float = 0.15
"""Percent of current context tokens to keep as exact recent context during LLM-based compression."""
llm_compress_keep_recent: int = 0
"""Number of recent messages to keep during LLM-based compression."""
llm_compress_provider: "Provider | None" = None
"""LLM provider used for compression tasks. If None, truncation strategy is used."""
custom_token_counter: TokenCounter | None = None

View File

@@ -13,7 +13,7 @@ class ContextManager:
def __init__(
self,
config: ContextConfig,
) -> None:
):
"""Initialize the context manager.
There are two strategies to handle context limit reached:
@@ -33,9 +33,8 @@ class ContextManager:
elif config.llm_compress_provider:
self.compressor = LLMSummaryCompressor(
provider=config.llm_compress_provider,
keep_recent_ratio=config.llm_compress_keep_recent_ratio,
keep_recent=config.llm_compress_keep_recent,
instruction_text=config.llm_compress_instruction,
token_counter=self.token_counter,
)
else:
self.compressor = TruncateByTurnsCompressor(

View File

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

View File

@@ -1,7 +1,7 @@
import json
from typing import Protocol, runtime_checkable
from ..message import AudioURLPart, ImageURLPart, Message, TextPart, ThinkPart
from ..message import Message, TextPart
@runtime_checkable
@@ -28,19 +28,9 @@ class TokenCounter(Protocol):
...
# 图片/音频 token 开销估算值,参考 OpenAI vision pricing:
# low-res ~85 tokens, high-res ~170 per 512px tile, 通常几百到上千。
# 这里取一个保守中位数,宁可偏高触发压缩也不要偏低导致 API 报错。
IMAGE_TOKEN_ESTIMATE = 765
AUDIO_TOKEN_ESTIMATE = 500
class EstimateTokenCounter:
"""Estimate token counter implementation.
Provides a simple estimation of token count based on character types.
Supports multimodal content: images, audio, and thinking parts
are all counted so that the context compressor can trigger in time.
"""
def count_tokens(
@@ -55,16 +45,12 @@ class EstimateTokenCounter:
if isinstance(content, str):
total += self._estimate_tokens(content)
elif isinstance(content, list):
# 处理多模态内容
for part in content:
if isinstance(part, TextPart):
total += self._estimate_tokens(part.text)
elif isinstance(part, ThinkPart):
total += self._estimate_tokens(part.think)
elif isinstance(part, ImageURLPart):
total += IMAGE_TOKEN_ESTIMATE
elif isinstance(part, AudioURLPart):
total += AUDIO_TOKEN_ESTIMATE
# 处理 Tool Calls
if msg.tool_calls:
for tc in msg.tool_calls:
tc_str = json.dumps(tc if isinstance(tc, dict) else tc.model_dump())

View File

@@ -4,97 +4,19 @@ from ..message import Message
class ContextTruncator:
"""Context truncator."""
def _has_tool_calls(self, message: Message) -> bool:
"""Check if a message contains tool calls."""
return (
message.role == "assistant"
and message.tool_calls is not None
and len(message.tool_calls) > 0
)
@staticmethod
def _split_system_rest(
messages: list[Message],
) -> tuple[list[Message], list[Message]]:
"""Split messages into system messages and the rest.
Returns:
tuple: (system_messages, non_system_messages)
"""
first_non_system = 0
for i, msg in enumerate(messages):
if msg.role != "system":
first_non_system = i
break
return messages[:first_non_system], messages[first_non_system:]
@staticmethod
def _ensure_user_message(
system_messages: list[Message],
truncated: list[Message],
original_messages: list[Message],
) -> list[Message]:
"""Ensure the result always contains the first user message right after
system messages. This is required by many LLM APIs (e.g. Zhipu) that
mandate a ``user`` message immediately following the ``system`` message.
"""
if truncated and truncated[0].role == "user":
return system_messages + truncated
# Locate the first user message from the *original* list.
first_user = next((m for m in original_messages if m.role == "user"), None)
if first_user is None:
return system_messages + truncated
return system_messages + [first_user] + truncated
def fix_messages(self, messages: list[Message]) -> list[Message]:
"""Fix the message list to ensure the validity of tool call and tool response pairing.
This method ensures that:
1. Each `tool` message is preceded by an `assistant` message containing `tool_calls`.
2. Each `assistant` message containing `tool_calls` is followed by corresponding `
This is a requirement of the OpenAI Chat Completions API specification (Gemini enforces this strictly).
"""
if not messages:
return messages
fixed_messages: list[Message] = []
pending_assistant: Message | None = None
pending_tools: list[Message] = []
def flush_pending_if_valid() -> None:
nonlocal pending_assistant, pending_tools
if pending_assistant is not None and pending_tools:
fixed_messages.append(pending_assistant)
fixed_messages.extend(pending_tools)
pending_assistant = None
pending_tools = []
for msg in messages:
if msg.role == "tool":
# Only record tool responses when there is a pending assistant(tool_calls)
if pending_assistant is not None:
pending_tools.append(msg)
# Isolated tool messages without a preceding assistant(tool_calls) are ignored
continue
if self._has_tool_calls(msg):
# When encountering a new assistant(tool_calls), first process the old pending chain
flush_pending_if_valid()
pending_assistant = msg
continue
# Non-tool messages that do not contain tool_calls will break the pending chain.
# Flush any pending chain first, then append the current message normally.
flush_pending_if_valid()
fixed_messages.append(msg)
# Flush the last pending chain at the end,
# ensuring that any remaining valid assistant(tool_calls) and its tools are included in the final list.
flush_pending_if_valid()
fixed_messages = []
for message in messages:
if message.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
def truncate_by_turns(
@@ -103,23 +25,29 @@ class ContextTruncator:
keep_most_recent_turns: int,
drop_turns: int = 1,
) -> list[Message]:
"""
Turn-based truncation strategy, which drops the oldest turns while keeping the most recent N turns.
A turn consists of a user message and an assistant message.
This method ensures that the truncated context list conforms to OpenAI's context format.
"""截断上下文列表,确保不超过最大长度。
一个 turn 包含一个 user 消息和一个 assistant 消息。
这个方法会保证截断后的上下文列表符合 OpenAI 的上下文格式。
Args:
messages: The original list of messages in the context.
keep_most_recent_turns: The number of most recent turns to keep. If set to -1, it means keeping all turns (no truncation).
drop_turns: The number of turns to drop from the beginning.
messages: 上下文列表
keep_most_recent_turns: 保留最近的对话轮数
drop_turns: 一次性丢弃的对话轮数
Returns:
The truncated list of messages.
截断后的上下文列表
"""
if keep_most_recent_turns == -1:
return messages
system_messages, non_system_messages = self._split_system_rest(messages)
first_non_system = 0
for i, msg in enumerate(messages):
if msg.role != "system":
first_non_system = i
break
system_messages = messages[:first_non_system]
non_system_messages = messages[first_non_system:]
if len(non_system_messages) // 2 <= keep_most_recent_turns:
return messages
@@ -130,7 +58,7 @@ class ContextTruncator:
else:
truncated_contexts = non_system_messages[-num_to_keep * 2 :]
# Find the first user message
# 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(truncated_contexts) if item.role == "user"),
None,
@@ -138,9 +66,8 @@ class ContextTruncator:
if index is not None and index > 0:
truncated_contexts = truncated_contexts[index:]
result = self._ensure_user_message(
system_messages, truncated_contexts, messages
)
result = system_messages + truncated_contexts
return self.fix_messages(result)
def truncate_by_dropping_oldest_turns(
@@ -148,39 +75,53 @@ class ContextTruncator:
messages: list[Message],
drop_turns: int = 1,
) -> list[Message]:
"""Drop the oldest N turns, regardless of the number of turns to keep."""
"""丢弃最旧的 N 个对话轮次。"""
if drop_turns <= 0:
return messages
system_messages, non_system_messages = self._split_system_rest(messages)
first_non_system = 0
for i, msg in enumerate(messages):
if msg.role != "system":
first_non_system = i
break
system_messages = messages[:first_non_system]
non_system_messages = messages[first_non_system:]
if len(non_system_messages) // 2 <= drop_turns:
truncated_non_system = []
else:
truncated_non_system = non_system_messages[drop_turns * 2 :]
# Find the first user message
index = next(
(i for i, item in enumerate(truncated_non_system) if item.role == "user"),
None,
)
if index is not None:
truncated_non_system = truncated_non_system[index:]
elif truncated_non_system:
truncated_non_system = []
result = system_messages + truncated_non_system
result = self._ensure_user_message(
system_messages, truncated_non_system, messages
)
return self.fix_messages(result)
def truncate_by_halving(
self,
messages: list[Message],
) -> list[Message]:
"""Halve the number of messages, keeping the most recent ones."""
"""对半砍策略,删除 50% 的消息"""
if len(messages) <= 2:
return messages
system_messages, non_system_messages = self._split_system_rest(messages)
first_non_system = 0
for i, msg in enumerate(messages):
if msg.role != "system":
first_non_system = i
break
system_messages = messages[:first_non_system]
non_system_messages = messages[first_non_system:]
messages_to_delete = len(non_system_messages) // 2
if messages_to_delete == 0:
@@ -188,7 +129,6 @@ class ContextTruncator:
truncated_non_system = non_system_messages[messages_to_delete:]
# Find the first user message
index = next(
(i for i, item in enumerate(truncated_non_system) if item.role == "user"),
None,
@@ -196,7 +136,6 @@ class ContextTruncator:
if index is not None:
truncated_non_system = truncated_non_system[index:]
result = self._ensure_user_message(
system_messages, truncated_non_system, messages
)
result = system_messages + truncated_non_system
return self.fix_messages(result)

View File

@@ -14,7 +14,9 @@ class HandoffTool(FunctionTool, Generic[TContext]):
parameters: dict | None = None,
tool_description: str | None = None,
**kwargs,
) -> None:
):
self.agent = agent
# Avoid passing duplicate `description` to the FunctionTool dataclass.
# Some call sites (e.g. SubAgentOrchestrator) pass `description` via kwargs
# to override what the main agent sees, while we also compute a default
@@ -32,8 +34,6 @@ class HandoffTool(FunctionTool, Generic[TContext]):
# Optional provider override for this subagent. When set, the handoff
# execution will use this chat provider id instead of the global/default.
self.provider_id: str | None = None
# Note: Must assign after super().__init__() to prevent parent class from overriding this attribute
self.agent = agent
def default_parameters(self) -> dict:
return {
@@ -43,22 +43,9 @@ class HandoffTool(FunctionTool, Generic[TContext]):
"type": "string",
"description": "The input to be handed off to another agent. This should be a clear and concise request or task.",
},
"image_urls": {
"type": "array",
"items": {"type": "string"},
"description": "Optional: An array of image sources (public HTTP URLs or local file paths) used as references in multimodal tasks such as video generation.",
},
"background_task": {
"type": "boolean",
"description": (
"Defaults to false. "
"Set to true if the task may take noticeable time, involves external tools, or the user does not need to wait. "
"Use false only for quick, immediate tasks."
),
},
},
}
def default_description(self, agent_name: str | None) -> str:
agent_name = agent_name or "another"
return f"Delegate tasks to {agent_name} agent to handle the request."
return f"Delegate tasks to {self.name} agent to handle the request."

View File

@@ -9,22 +9,22 @@ from .run_context import ContextWrapper, TContext
class BaseAgentRunHooks(Generic[TContext]):
async def on_agent_begin(self, run_context: ContextWrapper[TContext]) -> None: ...
async def on_agent_begin(self, run_context: ContextWrapper[TContext]): ...
async def on_tool_start(
self,
run_context: ContextWrapper[TContext],
tool: FunctionTool,
tool_args: dict | None,
) -> None: ...
): ...
async def on_tool_end(
self,
run_context: ContextWrapper[TContext],
tool: FunctionTool,
tool_args: dict | None,
tool_result: mcp.types.CallToolResult | None,
) -> None: ...
): ...
async def on_agent_done(
self,
run_context: ContextWrapper[TContext],
llm_response: LLMResponse,
) -> None: ...
): ...

View File

@@ -1,13 +1,8 @@
import asyncio
import copy
import logging
import os
import re
import sys
from contextlib import AsyncExitStack
from datetime import timedelta
from pathlib import Path, PureWindowsPath
from typing import Any, Generic
from typing import Generic
from tenacity import (
before_sleep_log,
@@ -24,75 +19,6 @@ from astrbot.core.utils.log_pipe import LogPipe
from .run_context import TContext
from .tool import FunctionTool
_DEFAULT_STDIO_COMMAND_ALLOWLIST = frozenset(
{
"python",
"python3",
"py",
"node",
"npx",
"npm",
"pnpm",
"yarn",
"bun",
"bunx",
"deno",
"uv",
"uvx",
}
)
_DENIED_STDIO_COMMANDS = frozenset(
{
"bash",
"sh",
"zsh",
"fish",
"cmd",
"cmd.exe",
"powershell",
"powershell.exe",
"pwsh",
"pwsh.exe",
"osascript",
"open",
"curl",
"wget",
"nc",
"netcat",
"telnet",
"ssh",
"scp",
"rm",
"mv",
"cp",
"dd",
"mkfs",
"sudo",
"su",
"chmod",
"chown",
"kill",
"killall",
"shutdown",
"reboot",
"poweroff",
"halt",
}
)
_SHELL_META_RE = re.compile(r"[\r\n\x00;&|<>`$]")
_PYTHON_INLINE_CODE_FLAGS = frozenset({"-c"})
_JS_INLINE_CODE_FLAGS = frozenset({"-e", "--eval", "-p", "--print"})
_DENIED_DOCKER_ARGS = frozenset(
{
"--privileged",
"--pid=host",
"--network=host",
"--net=host",
"--ipc=host",
}
)
_STDIO_ALLOWLIST_ENV = "ASTRBOT_MCP_STDIO_ALLOWED_COMMANDS"
try:
import anyio
import mcp
@@ -114,156 +40,11 @@ def _prepare_config(config: dict) -> dict:
"""Prepare configuration, handle nested format"""
if config.get("mcpServers"):
first_key = next(iter(config["mcpServers"]))
config = dict(config["mcpServers"][first_key])
else:
config = dict(config)
config = config["mcpServers"][first_key]
config.pop("active", None)
return config
def _normalize_stdio_command_name(command: str) -> str:
command = command.strip()
if "\\" in command:
command_name = PureWindowsPath(command).name
else:
command_name = Path(command).name
command_name = command_name.lower()
for suffix in (".exe", ".cmd", ".bat"):
if command_name.endswith(suffix):
return command_name[: -len(suffix)]
return command_name
def _get_stdio_command_allowlist() -> set[str]:
allowed = set(_DEFAULT_STDIO_COMMAND_ALLOWLIST)
configured = os.environ.get(_STDIO_ALLOWLIST_ENV, "")
if configured.strip():
allowed = {
_normalize_stdio_command_name(item)
for item in configured.split(",")
if item.strip()
}
return allowed
def _is_stdio_config(config: dict) -> bool:
cfg = _prepare_config(config.copy())
return "url" not in cfg
def _validate_stdio_args(command_name: str, args: object) -> None:
if args is None:
return
if not isinstance(args, list) or not all(isinstance(arg, str) for arg in args):
raise ValueError("MCP stdio args must be a list of strings.")
for arg in args:
if "\x00" in arg or "\r" in arg or "\n" in arg:
raise ValueError("MCP stdio args cannot contain control characters.")
if command_name.startswith("python") or command_name == "py":
if any(
arg == "-c"
or (arg.startswith("-") and not arg.startswith("--") and "c" in arg)
for arg in args
):
raise ValueError(
"MCP stdio Python servers must be launched from a module or file; inline code flags such as -c are not allowed."
)
elif command_name in {"node", "deno", "bun"} or command_name.startswith("node"):
if any(
arg in _JS_INLINE_CODE_FLAGS
or arg == "eval"
or (
arg.startswith("-")
and not arg.startswith("--")
and any(c in arg for c in "ep")
)
for arg in args
):
raise ValueError(
"MCP stdio JavaScript servers must be launched from a package or file; inline eval flags are not allowed."
)
elif command_name == "docker":
denied = []
for i, arg in enumerate(args):
if arg in _DENIED_DOCKER_ARGS:
denied.append(arg)
elif (
arg in {"--network", "--net", "--pid", "--ipc"}
and i + 1 < len(args)
and args[i + 1] == "host"
):
denied.append(f"{arg} {args[i + 1]}")
if denied:
raise ValueError(
f"MCP stdio Docker args are unsafe and not allowed: {', '.join(denied)}."
)
def validate_mcp_stdio_config(config: dict) -> None:
"""Validate stdio MCP config before any subprocess can be spawned."""
cfg = _prepare_config(config.copy())
if "url" in cfg:
return
command = cfg.get("command")
if not isinstance(command, str) or not command.strip():
raise ValueError("MCP stdio server requires a non-empty command.")
if _SHELL_META_RE.search(command):
raise ValueError("MCP stdio command contains unsafe shell metacharacters.")
command_name = _normalize_stdio_command_name(command)
if command_name in _DENIED_STDIO_COMMANDS:
raise ValueError(f"MCP stdio command `{command_name}` is not allowed.")
allowed = _get_stdio_command_allowlist()
if command_name not in allowed:
allowed_display = ", ".join(sorted(allowed))
raise ValueError(
f"MCP stdio command `{command_name}` is not allowed. "
f"Allowed commands: {allowed_display}. "
f"Set {_STDIO_ALLOWLIST_ENV} to override this list if you trust another launcher."
)
_validate_stdio_args(command_name, cfg.get("args"))
env = cfg.get("env")
if env is not None and not isinstance(env, dict):
raise ValueError("MCP stdio env must be an object.")
if isinstance(env, dict) and not all(
isinstance(key, str) and isinstance(value, str) for key, value in env.items()
):
raise ValueError("MCP stdio env keys and values must be strings.")
def _prepare_stdio_env(config: dict) -> dict:
"""Preserve Windows executable resolution for stdio subprocesses."""
if sys.platform != "win32":
return config
prepared = config.copy()
env = dict(prepared.get("env") or {})
env = _merge_environment_variables(env)
prepared["env"] = env
return prepared
def _merge_environment_variables(env: dict) -> dict:
"""合并环境变量处理Windows不区分大小写的情况"""
merged = env.copy()
# 将用户环境变量转换为统一的大小写形式便于比较
user_keys_lower = {k.lower(): k for k in merged.keys()}
for sys_key, sys_value in os.environ.items():
sys_key_lower = sys_key.lower()
if sys_key_lower not in user_keys_lower:
# 使用系统环境变量中的原始大小写
merged[sys_key] = sys_value
return merged
async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
"""Quick test MCP server connectivity"""
import aiohttp
@@ -326,61 +107,8 @@ async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
return False, f"{e!s}"
def _normalize_mcp_input_schema(schema: dict[str, Any]) -> dict[str, Any]:
"""Normalize common non-standard MCP JSON Schema variants.
Some MCP servers incorrectly mark required properties with a boolean
`required: true` on the property schema itself. Draft 2020-12 requires the
parent object to declare `required` as an array of property names instead.
We lift those booleans to the parent object so the schema remains usable
without disabling validation entirely.
"""
def _normalize(node: Any) -> Any:
if isinstance(node, list):
return [_normalize(item) for item in node]
if not isinstance(node, dict):
return node
normalized = {key: _normalize(value) for key, value in node.items()}
properties = normalized.get("properties")
if isinstance(properties, dict):
original_properties = node.get("properties")
if not isinstance(original_properties, dict):
original_properties = {}
required = normalized.get("required")
required_list = required[:] if isinstance(required, list) else []
for prop_name, prop_schema in properties.items():
if not isinstance(prop_schema, dict):
continue
original_prop_schema = original_properties.get(prop_name, {})
prop_required = (
original_prop_schema.get("required")
if isinstance(original_prop_schema, dict)
else None
)
if isinstance(prop_required, bool):
if prop_schema.get("required") is prop_required:
prop_schema.pop("required", None)
if prop_required:
required_list.append(prop_name)
if required_list:
normalized["required"] = list(dict.fromkeys(required_list))
elif isinstance(required, list):
normalized.pop("required", None)
return normalized
return _normalize(copy.deepcopy(schema))
class MCPClient:
def __init__(self) -> None:
def __init__(self):
# Initialize session and client objects
self.session: mcp.ClientSession | None = None
self.exit_stack = AsyncExitStack()
@@ -398,7 +126,7 @@ class MCPClient:
self._reconnect_lock = asyncio.Lock() # Lock for thread-safe reconnection
self._reconnecting: bool = False # For logging and debugging
async def connect_to_server(self, mcp_server_config: dict, name: str) -> None:
async def connect_to_server(self, mcp_server_config: dict, name: str):
"""Connect to MCP server
If `url` parameter exists:
@@ -416,14 +144,10 @@ class MCPClient:
cfg = _prepare_config(mcp_server_config.copy())
def logging_callback(
msg: str | mcp.types.LoggingMessageNotificationParams,
) -> None:
def logging_callback(msg: str):
# Handle MCP service error logs
if isinstance(msg, mcp.types.LoggingMessageNotificationParams):
if msg.level in ("warning", "error", "critical", "alert", "emergency"):
log_msg = f"[{msg.level.upper()}] {str(msg.data)}"
self.server_errlogs.append(log_msg)
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)
@@ -486,30 +210,19 @@ class MCPClient:
)
else:
validate_mcp_stdio_config(cfg)
cfg = _prepare_stdio_env(cfg)
server_params = mcp.StdioServerParameters(
**cfg,
)
def callback(msg: str | mcp.types.LoggingMessageNotificationParams) -> None:
def callback(msg: str):
# Handle MCP service error logs
if isinstance(msg, mcp.types.LoggingMessageNotificationParams):
if msg.level in (
"warning",
"error",
"critical",
"alert",
"emergency",
):
log_msg = f"[{msg.level.upper()}] {str(msg.data)}"
self.server_errlogs.append(log_msg)
self.server_errlogs.append(msg)
stdio_transport = await self.exit_stack.enter_async_context(
mcp.stdio_client(
server_params,
errlog=LogPipe(
level=logging.INFO,
level=logging.ERROR,
logger=logger,
identifier=f"MCPServer-{name}",
callback=callback,
@@ -630,7 +343,7 @@ class MCPClient:
return await _call_with_retry()
async def cleanup(self) -> None:
async def cleanup(self):
"""Clean up resources including old exit stacks from reconnections"""
# Close current exit stack
try:
@@ -652,11 +365,11 @@ class MCPTool(FunctionTool, Generic[TContext]):
def __init__(
self, mcp_tool: mcp.Tool, mcp_client: MCPClient, mcp_server_name: str, **kwargs
) -> None:
):
super().__init__(
name=mcp_tool.name,
description=mcp_tool.description or "",
parameters=_normalize_mcp_input_schema(mcp_tool.inputSchema),
parameters=mcp_tool.inputSchema,
)
self.mcp_tool = mcp_tool
self.mcp_client = mcp_client

View File

@@ -1,20 +1,11 @@
# Inspired by MoonshotAI/kosong, credits to MoonshotAI/kosong authors for the original implementation.
# License: Apache License 2.0
from typing import Any, ClassVar, Literal, TypeVar, cast
from typing import Any, ClassVar, Literal, cast
from pydantic import (
BaseModel,
GetCoreSchemaHandler,
PrivateAttr,
ValidationError,
model_serializer,
model_validator,
)
from pydantic import BaseModel, GetCoreSchemaHandler, model_serializer, model_validator
from pydantic_core import core_schema
ContentPartT = TypeVar("ContentPartT", bound="ContentPart")
class ContentPart(BaseModel):
"""A part of the content in a message."""
@@ -22,7 +13,6 @@ class ContentPart(BaseModel):
__content_part_registry: ClassVar[dict[str, type["ContentPart"]]] = {}
type: Literal["text", "think", "image_url", "audio_url"]
_no_save: bool = PrivateAttr(default=False)
def __init_subclass__(cls, **kwargs: Any) -> None:
super().__init_subclass__(**kwargs)
@@ -53,10 +43,7 @@ class ContentPart(BaseModel):
if not isinstance(type_value, str):
raise ValueError(f"Cannot validate {value} as ContentPart")
target_class = cls.__content_part_registry[type_value]
part = target_class.model_validate(value)
if cast(dict[str, Any], value).get("_no_save"):
part._no_save = True
return part
return target_class.model_validate(value)
raise ValueError(f"Cannot validate {value} as ContentPart")
@@ -65,17 +52,6 @@ class ContentPart(BaseModel):
# for subclasses, use the default schema
return handler(source_type)
def mark_as_temp(self: ContentPartT) -> ContentPartT:
"""Mark this content part as provider-facing only, not persisted."""
self._no_save = True
return self
def model_dump_for_context(self) -> dict[str, Any]:
data = self.model_dump()
if self._no_save:
data["_no_save"] = True
return data
class TextPart(ContentPart):
"""
@@ -183,15 +159,6 @@ class ToolCallPart(BaseModel):
"""A part of the arguments of the tool call."""
class CheckpointData(BaseModel):
"""Internal checkpoint data for linking LLM turns to platform history."""
id: str
CHECKPOINT_ROLE = "_checkpoint"
class Message(BaseModel):
"""A message in a conversation."""
@@ -200,10 +167,9 @@ class Message(BaseModel):
"user",
"assistant",
"tool",
"_checkpoint",
]
content: str | list[ContentPart] | CheckpointData | None = None
content: str | list[ContentPart] | None = None
"""The content of the message."""
tool_calls: list[ToolCall] | list[dict] | None = None
@@ -212,19 +178,8 @@ class Message(BaseModel):
tool_call_id: str | None = None
"""The ID of the tool call."""
_no_save: bool = PrivateAttr(default=False)
_checkpoint_after: CheckpointData | None = PrivateAttr(default=None)
@model_validator(mode="after")
def check_content_required(self):
if self.role == CHECKPOINT_ROLE:
if not isinstance(self.content, CheckpointData):
raise ValueError("checkpoint message content must be CheckpointData")
return self
if isinstance(self.content, CheckpointData):
raise ValueError("CheckpointData is only allowed for role='_checkpoint'")
# assistant + tool_calls is not None: allow content to be None
if self.role == "assistant" and self.tool_calls is not None:
return self
@@ -268,94 +223,3 @@ class SystemMessageSegment(Message):
"""A message segment from the system."""
role: Literal["system"] = "system"
class CheckpointMessageSegment(Message):
"""Internal checkpoint segment for persisted conversation history."""
role: Literal["_checkpoint"] = "_checkpoint"
content: CheckpointData | None = None
def is_checkpoint_message(message: Message | dict) -> bool:
"""Return whether a message is an internal checkpoint."""
if isinstance(message, Message):
return message.role == CHECKPOINT_ROLE
return isinstance(message, dict) and message.get("role") == CHECKPOINT_ROLE
def get_checkpoint_id(message: Message | dict) -> str | None:
"""Return the checkpoint id from an internal checkpoint message."""
if not is_checkpoint_message(message):
return None
content = (
message.content if isinstance(message, Message) else message.get("content")
)
if isinstance(content, CheckpointData):
return content.id
if isinstance(content, dict):
checkpoint_id = content.get("id")
return (
checkpoint_id if isinstance(checkpoint_id, str) and checkpoint_id else None
)
return None
def strip_checkpoint_messages(history: list[dict]) -> list[dict]:
"""Remove internal checkpoint messages from provider-facing history."""
return [message for message in history if not is_checkpoint_message(message)]
def _get_checkpoint_data(message: Message | dict) -> CheckpointData | None:
if not is_checkpoint_message(message):
return None
content = (
message.content if isinstance(message, Message) else message.get("content")
)
if isinstance(content, CheckpointData):
return content
if isinstance(content, dict):
try:
return CheckpointData.model_validate(content)
except ValidationError:
return None
return None
def bind_checkpoint_messages(history: list[dict]) -> list[Message]:
"""Load persisted history and bind checkpoint segments to prior messages."""
messages: list[Message] = []
for item in history:
if is_checkpoint_message(item):
checkpoint = _get_checkpoint_data(item)
if checkpoint is not None and messages:
messages[-1]._checkpoint_after = checkpoint
continue
message = Message.model_validate(item)
if item.get("_no_save"):
message._no_save = True
messages.append(message)
return messages
def dump_messages_with_checkpoints(messages: list[Message]) -> list[dict]:
"""Dump runtime messages and reinsert bound checkpoint segments."""
dumped: list[dict] = []
for message in messages:
message_data = message.model_dump()
if isinstance(message.content, list):
message_data["content"] = [
part.model_dump()
for part in message.content
if not getattr(part, "_no_save", False)
]
dumped.append(message_data)
if message._checkpoint_after is not None:
dumped.append(
CheckpointMessageSegment(content=message._checkpoint_after).model_dump()
)
return dumped

View File

@@ -16,7 +16,7 @@ class ContextWrapper(Generic[TContext]):
context: TContext
messages: list[Message] = Field(default_factory=list)
"""This field stores the llm message context for the agent run, agent runners will maintain this field automatically."""
tool_call_timeout: int = 120 # Default tool call timeout in seconds
tool_call_timeout: int = 60 # Default tool call timeout in seconds
NoContext = ContextWrapper[None]

View File

@@ -1,3 +1,4 @@
import base64
import json
import sys
import typing as T
@@ -10,10 +11,8 @@ from astrbot.core.provider.entities import (
LLMResponse,
ProviderRequest,
)
from astrbot.core.utils.media_utils import MediaResolver, describe_media_ref
from ...hooks import BaseAgentRunHooks
from ...message import is_checkpoint_message
from ...response import AgentResponseData
from ...run_context import ContextWrapper, TContext
from ..base import AgentResponse, AgentState, BaseAgentRunner
@@ -149,8 +148,6 @@ class CozeAgentRunner(BaseAgentRunner[TContext]):
# 处理历史上下文
if not self.auto_save_history and contexts:
for ctx in contexts:
if is_checkpoint_message(ctx):
continue
if isinstance(ctx, dict) and "role" in ctx and "content" in ctx:
# 处理上下文中的图片
content = ctx["content"]
@@ -210,11 +207,10 @@ class CozeAgentRunner(BaseAgentRunner[TContext]):
object_string_content.append({"type": "text", "text": prompt})
for url in image_urls:
# the url is a base64 string
try:
file_id = await self._download_and_upload_image(
url,
session_id,
)
image_data = base64.b64decode(url)
file_id = await self.api_client.upload_file(image_data)
object_string_content.append(
{
"type": "image",
@@ -222,11 +218,7 @@ class CozeAgentRunner(BaseAgentRunner[TContext]):
}
)
except Exception as e:
logger.warning(
"处理图片失败 %s: %s",
describe_media_ref(url),
e,
)
logger.warning(f"处理图片失败 {url}: {e}")
continue
if object_string_content:
@@ -352,11 +344,8 @@ class CozeAgentRunner(BaseAgentRunner[TContext]):
return file_id
try:
image_bytes = await MediaResolver(
image_url,
media_type="image",
).to_bytes()
file_id = await self.api_client.upload_file(image_bytes)
image_data = await self.api_client.download_image(image_url)
file_id = await self.api_client.upload_file(image_data)
if session_id:
self.file_id_cache[session_id][cache_key] = file_id
@@ -365,8 +354,8 @@ class CozeAgentRunner(BaseAgentRunner[TContext]):
return file_id
except Exception as e:
logger.error("处理图片失败 %s: %s", describe_media_ref(image_url), e)
raise Exception(f"处理图片失败: {e!s}") from e
logger.error(f"处理图片失败 {image_url}: {e!s}")
raise Exception(f"处理图片失败: {e!s}")
@override
def done(self) -> bool:

View File

@@ -10,7 +10,7 @@ from astrbot.core import logger
class CozeAPIClient:
def __init__(self, api_key: str, api_base: str = "https://api.coze.cn") -> None:
def __init__(self, api_key: str, api_base: str = "https://api.coze.cn"):
self.api_key = api_key
self.api_base = api_base
self.session = None
@@ -277,7 +277,7 @@ class CozeAPIClient:
logger.error(f"获取Coze消息列表失败: {e!s}")
raise Exception(f"获取Coze消息列表失败: {e!s}")
async def close(self) -> None:
async def close(self):
"""关闭会话"""
if self.session:
await self.session.close()
@@ -288,7 +288,7 @@ if __name__ == "__main__":
import asyncio
import os
async def test_coze_api_client() -> None:
async def test_coze_api_client():
api_key = os.getenv("COZE_API_KEY", "")
bot_id = os.getenv("COZE_BOT_ID", "")
client = CozeAPIClient(api_key=api_key)

View File

@@ -67,7 +67,7 @@ class DashscopeAgentRunner(BaseAgentRunner[TContext]):
if isinstance(self.timeout, str):
self.timeout = int(self.timeout)
def has_rag_options(self) -> bool:
def has_rag_options(self):
"""判断是否有 RAG 选项
Returns:
@@ -302,7 +302,7 @@ class DashscopeAgentRunner(BaseAgentRunner[TContext]):
while True:
try:
item_type, item_data = await asyncio.get_running_loop().run_in_executor(
item_type, item_data = await asyncio.get_event_loop().run_in_executor(
None, response_queue.get, True, 1
)
except queue.Empty:
@@ -388,7 +388,7 @@ class DashscopeAgentRunner(BaseAgentRunner[TContext]):
# 发起请求
partial = functools.partial(Application.call, **payload)
response = await asyncio.get_running_loop().run_in_executor(None, partial)
response = await asyncio.get_event_loop().run_in_executor(None, partial)
async for resp in self._handle_streaming_response(response, session_id):
yield resp

View File

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

View File

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

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

View File

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

View File

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

View File

@@ -1,3 +1,5 @@
import base64
import os
import sys
import typing as T
@@ -8,7 +10,8 @@ from astrbot.core.provider.entities import (
LLMResponse,
ProviderRequest,
)
from astrbot.core.utils.media_utils import MediaResolver
from astrbot.core.utils.astrbot_path import get_astrbot_data_path
from astrbot.core.utils.io import download_file
from ...hooks import BaseAgentRunHooks
from ...response import AgentResponseData
@@ -103,42 +106,6 @@ class DifyAgentRunner(BaseAgentRunner[TContext]):
async for resp in self.step():
yield resp
async def _upload_image_for_dify(
self,
image_url: str,
session_id: str,
) -> dict[str, str] | None:
image_data = await MediaResolver(
image_url,
media_type="image",
).to_base64_data(strict=True)
if image_data is None:
logger.warning("Dify 图片预处理结果为空,将忽略。")
return None
image_extension = image_data.mime_type.split("/", 1)[-1] or "png"
if image_extension == "jpeg":
image_extension = "jpg"
file_response = await self.api_client.file_upload(
file_data=image_data.to_bytes(),
user=session_id,
mime_type=image_data.mime_type,
file_name=f"image.{image_extension}",
)
logger.debug(f"Dify 上传图片响应:{file_response}")
if "id" not in file_response:
logger.warning(
f"上传图片后得到未知的 Dify 响应:{file_response},图片将忽略。"
)
return None
return {
"type": "image",
"transfer_method": "local_file",
"upload_file_id": file_response["id"],
}
async def _execute_dify_request(self):
"""执行 Dify 请求的核心逻辑"""
prompt = self.req.prompt or ""
@@ -157,13 +124,31 @@ class DifyAgentRunner(BaseAgentRunner[TContext]):
# 处理图片上传
files_payload = []
for image_url in image_urls:
# image_url is a base64 string
try:
image_payload = await self._upload_image_for_dify(image_url, session_id)
image_data = base64.b64decode(image_url)
file_response = await self.api_client.file_upload(
file_data=image_data,
user=session_id,
mime_type="image/png",
file_name="image.png",
)
logger.debug(f"Dify 上传图片响应:{file_response}")
if "id" not in file_response:
logger.warning(
f"上传图片后得到未知的 Dify 响应:{file_response},图片将忽略。"
)
continue
files_payload.append(
{
"type": "image",
"transfer_method": "local_file",
"upload_file_id": file_response["id"],
}
)
except Exception as e:
logger.warning(f"上传图片失败:{e}")
continue
if image_payload:
files_payload.append(image_payload)
# 获得会话变量
payload_vars = self.variables.copy()
@@ -305,12 +290,11 @@ class DifyAgentRunner(BaseAgentRunner[TContext]):
case "image":
return Comp.Image(file=item["url"], url=item["url"])
case "audio":
audio_path = await MediaResolver(
item["url"],
media_type="audio",
default_suffix=".wav",
).to_path(target_format="wav")
return Comp.Record(file=audio_path, url=audio_path)
# 仅支持 wav
temp_dir = os.path.join(get_astrbot_data_path(), "temp")
path = os.path.join(temp_dir, f"{item['filename']}.wav")
await download_file(item["url"], path)
return Comp.Image(file=item["url"], url=item["url"])
case "video":
return Comp.Video(file=item["url"])
case _:

View File

@@ -31,7 +31,7 @@ async def _stream_sse(resp: ClientResponse) -> AsyncGenerator[dict, None]:
class DifyAPIClient:
def __init__(self, api_key: str, api_base: str = "https://api.dify.ai/v1") -> None:
def __init__(self, api_key: str, api_base: str = "https://api.dify.ai/v1"):
self.api_key = api_key
self.api_base = api_base
self.session = ClientSession(trust_env=True)
@@ -155,7 +155,7 @@ class DifyAPIClient:
raise Exception(f"Dify 文件上传失败:{resp.status}. {text}")
return await resp.json() # {"id": "xxx", ...}
async def close(self) -> None:
async def close(self):
await self.session.close()
async def get_chat_convs(self, user: str, limit: int = 20):

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