chore: replace issues-helper with gh CLI and refresh README (#25687)

Migrate issue label/close workflows to native gh scripts with explicit permissions, and update README cloud/AI coverage plus typo fixes.
This commit is contained in:
Zexi Li
2026-09-15 18:17:48 +08:00
committed by GitHub
parent edcbd48487
commit 07cb45bfac
7 changed files with 169 additions and 73 deletions

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@@ -4,14 +4,42 @@ on:
schedule:
- cron: "0 0 * * *"
permissions:
issues: write
jobs:
issue-check-inactive:
runs-on: ubuntu-latest
steps:
- name: check-inactive
uses: actions-cool/issues-helper@v2
with:
actions: 'check-inactive'
inactive-label: 'stale'
inactive-day: 30
exclude-labels: 'announcement'
- name: Label inactive issues as stale
env:
GH_TOKEN: ${{ github.token }}
INACTIVE_DAY: "30"
INACTIVE_LABEL: "stale"
EXCLUDE_LABEL: "announcement"
run: |
set -euo pipefail
cutoff="$(date -u -d "${INACTIVE_DAY} days ago" +%Y-%m-%dT%H:%M:%SZ)"
gh issue list \
--repo "${{ github.repository }}" \
--state open \
--limit 1000 \
--json number,labels,updatedAt \
| jq -c \
--arg cutoff "$cutoff" \
--arg inactive "$INACTIVE_LABEL" \
--arg exclude "$EXCLUDE_LABEL" \
'
.[]
| select(.updatedAt < $cutoff)
| select([.labels[].name] | index($exclude) | not)
| select([.labels[].name] | index($inactive) | not)
' \
| while IFS= read -r issue; do
number="$(echo "$issue" | jq -r .number)"
echo "Marking issue #${number} as ${INACTIVE_LABEL}"
gh issue edit "$number" \
--repo "${{ github.repository }}" \
--add-label "$INACTIVE_LABEL"
done

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@@ -4,17 +4,41 @@ on:
schedule:
- cron: "0 1 * * *"
permissions:
issues: write
jobs:
issue-close-require:
runs-on: ubuntu-latest
steps:
- name: need reproduce
uses: actions-cool/issues-helper@v2
with:
actions: 'close-issues'
labels: 'stale,state/awaiting user feedback'
inactive-day: 7
body: |
If you do not provide feedback for more than 37 days, we will close the issue and you can either reopen it or submit a new issue.
- name: Close inactive issues awaiting user feedback
env:
GH_TOKEN: ${{ github.token }}
INACTIVE_DAY: "7"
run: |
set -euo pipefail
cutoff="$(date -u -d "${INACTIVE_DAY} days ago" +%Y-%m-%dT%H:%M:%SZ)"
body="$(cat <<'EOF'
If you do not provide feedback for more than 37 days, we will close the issue and you can either reopen it or submit a new issue.
您超过 37 天未反馈信息,我们将关闭该 issue如有需求您可以重新打开或者提交新的 issue。
您超过 37 天未反馈信息,我们将关闭该 issue如有需求您可以重新打开或者提交新的 issue。
EOF
)"
# Trim leading indentation from heredoc lines for a cleaner comment.
body="$(printf '%s\n' "$body" | sed 's/^[[:space:]]*//')"
gh issue list \
--repo "${{ github.repository }}" \
--state open \
--label "stale" \
--label "state/awaiting user feedback" \
--limit 1000 \
--json number,updatedAt \
| jq -c --arg cutoff "$cutoff" '.[] | select(.updatedAt < $cutoff)' \
| while IFS= read -r issue; do
number="$(echo "$issue" | jq -r .number)"
echo "Closing issue #${number}"
gh issue close "$number" \
--repo "${{ github.repository }}" \
--comment "$body"
done

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@@ -4,13 +4,19 @@ on:
issues:
types: [closed]
permissions:
issues: write
jobs:
issue-closed-remove-labels:
runs-on: ubuntu-latest
if: "!contains(github.event.issue.labels.*.name, 'stale')"
steps:
- name: Remove statle labels when issue that hasn't stale label is closed
uses: actions-cool/issues-helper@v2
with:
actions: 'remove-labels'
labels: 'state/awaiting processing,state/awaiting user feedback'
- name: Remove state labels when issue that hasn't stale label is closed
env:
GH_TOKEN: ${{ github.token }}
run: |
gh issue edit "${{ github.event.issue.number }}" \
--repo "${{ github.repository }}" \
--remove-label "state/awaiting processing" \
--remove-label "state/awaiting user feedback" || true

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@@ -4,35 +4,48 @@ on:
name: Add issues workflow labels
permissions:
issues: write
jobs:
add-label-if-is-author:
runs-on: ubuntu-latest
if: (github.event.issue.user.id == github.event.comment.user.id) && !github.event.issue.pull_request && (github.event.issue.state == 'open')
steps:
- name: Add require handle label
uses: actions-cool/issues-helper@v2
with:
actions: 'add-labels'
labels: 'state/awaiting processing'
env:
GH_TOKEN: ${{ github.token }}
run: |
gh issue edit "${{ github.event.issue.number }}" \
--repo "${{ github.repository }}" \
--add-label "state/awaiting processing"
- name: Remove require reply label
uses: actions-cool/issues-helper@v2
with:
actions: 'remove-labels'
labels: 'state/awaiting user feedback,stale'
env:
GH_TOKEN: ${{ github.token }}
run: |
gh issue edit "${{ github.event.issue.number }}" \
--repo "${{ github.repository }}" \
--remove-label "state/awaiting user feedback" \
--remove-label "stale" || true
add-label-if-not-author:
runs-on: ubuntu-latest
if: (github.event.issue.user.id != github.event.comment.user.id) && !github.event.issue.pull_request && (github.event.issue.state == 'open') && (!contains(github.event.comment.body, '/keep-state'))
steps:
- name: Add require replay label
uses: actions-cool/issues-helper@v2
with:
actions: 'add-labels'
labels: 'state/awaiting user feedback'
- name: Add require reply label
env:
GH_TOKEN: ${{ github.token }}
run: |
gh issue edit "${{ github.event.issue.number }}" \
--repo "${{ github.repository }}" \
--add-label "state/awaiting user feedback"
- name: Remove require handle label
uses: actions-cool/issues-helper@v2
with:
actions: 'remove-labels'
labels: 'state/awaiting processing,stale'
env:
GH_TOKEN: ${{ github.token }}
run: |
gh issue edit "${{ github.event.issue.number }}" \
--repo "${{ github.repository }}" \
--remove-label "state/awaiting processing" \
--remove-label "stale" || true

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@@ -4,22 +4,30 @@ on:
issues:
types: [opened, reopened]
permissions:
issues: write
jobs:
issue-open-add-labels:
runs-on: ubuntu-latest
if: ${{ !github.event.issue.pull_request }}
steps:
- name: Add labels
uses: actions-cool/issues-helper@v2
if: ${{ !github.event.comment.pull_request.pull_request }}
with:
actions: 'add-labels'
labels: 'state/awaiting processing'
env:
GH_TOKEN: ${{ github.token }}
run: |
gh issue edit "${{ github.event.issue.number }}" \
--repo "${{ github.repository }}" \
--add-label "state/awaiting processing"
- name: Remove require reply label
uses: actions-cool/issues-helper@v2
with:
actions: 'remove-labels'
labels: 'state/awaiting user feedback,stale'
env:
GH_TOKEN: ${{ github.token }}
run: |
gh issue edit "${{ github.event.issue.number }}" \
--repo "${{ github.repository }}" \
--remove-label "state/awaiting user feedback" \
--remove-label "stale" || true
notify-author-comment:
runs-on: ubuntu-latest

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@@ -20,7 +20,7 @@ Cloudpods还提供了 **AI 云**一个面向大语言模型LLM推理与
* 将VMware vSphere虚拟化集群转换为一个可以自服务的私有云平台
* 在混合云的场景,能够在一个界面访问私有云和公有云
* 通过一个集中的入口访问分布在多个公有云平台上的多个账号
* 当前只使用一个公有云账号但希望将来使用多云的用户
* 当前只使用一个公有云账号但希望将来使用多云的用户
* 需要部署和管理 LLM 推理服务及 AI 容器应用,并需要 GPU 调度支持的用户
## 功能
@@ -29,15 +29,15 @@ Cloudpods还提供了 **AI 云**一个面向大语言模型LLM推理与
### AI 云
* **AI 推理服务**:部署和管理 LLM 推理实例,支持 GPU 调度、模型挂载与推理服务地址分配。
* **AI 推理服务**:部署和管理 LLM 推理实例(支持 Ollama、vLLM、SGLang 等),支持 GPU 调度、模型挂载与推理服务地址分配。
* **AI 应用管理**:一站式部署 LLM 应用编排、智能体助手、图像生成等 AI 容器应用。
* **模型库**:统一管理模型来源、版本与缓存,支持多实例复用、离线分发,避免重复下载。
* **模板与镜像**:通过模板定义 CPU/内存/GPU 等资源规格,通过镜像管理容器运行环境,实现标准化交付。
* **GPU 运维**GPU 设备自动探测与注册,支持 NVIDIA/CUDA 环境的统一配置与管理。
支持的 AI 应用
* AI 推理Ollama
* AI 应用OpenClaw、Dify、ComfyUI
支持的 AI 工作负载
* AI 推理Ollama、vLLM、SGLang
* AI 应用OpenClaw、Dify、ComfyUI、Hermes Agent
### 支持的云平台
@@ -52,29 +52,38 @@ Cloudpods还提供了 **AI 云**一个面向大语言模型LLM推理与
* 天翼云
* 移动云
* 京东云
* 火山引擎
* 百度云
* 金山云
* 青云
* Oracle Cloud
* 联通云
* 私有云:
* OpenStack
* ZStack
* Alibaba Cloud Aspara (阿里飞天)
* Alibaba Cloud Apsara (阿里飞天)
* Huawei HCSO (华为HCSO)
* Nutanix
* BingoCloud
* OceanBase
* 本地基础设施资源:
* 基于 KVM 实现的轻量级私有云
* VMWare vSphere vCenter/ESXi
* Baremetals (IPMI, Redfish API)
* Object storages (Minio, Ceph, XSky)
* VMware vSphere vCenter/ESXi
* Proxmox VE
* 裸金属 (IPMI, Redfish API)
* 对象存储 (Minio, Ceph, XSky)
* NAS (Ceph)
### 支持的云资源
* Servers: instances, disks, network interfaces, networks, vpcs, storages, hosts, wires, snapshots, snapshot policies, security groups, elastic IPs, SSH keypairs, images
* Load Balancers: instances, listeners, backend groups, backends, TLS certificates, ACLs
* Object Storage: buckets, objects
* NAS: file_systems, access_groups, mount_targets
* RDS: instances, accounts, backups, databases, parameters, privileges
* Elastic Cache: instances, accounts, backups, parameters
* DNS: DNS zones, DNS records
* VPC: VPCs, VPC peering, inter-VPC network, NAT gateway, DNAT/SNAT rules, route tables, route entries
* 服务器实例、磁盘、网卡、网络、VPC、存储、宿主机、二层网络、快照、快照策略、安全组、弹性 IP、SSH 密钥对、镜像
* 负载均衡实例、监听、后端服务器组、后端服务器、TLS 证书、访问控制
* 对象存储:存储桶、对象
* NAS:文件系统、权限组、挂载点
* RDS:实例、账号、备份、数据库、参数、权限
* 弹性缓存:实例、账号、备份、参数
* DNSDNS 区域、DNS 记录
* VPCVPCVPC 对等连接、跨 VPC 网络、NAT 网关、DNAT/SNAT 规则、路由表、路由条目
## 安装部署

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@@ -19,7 +19,7 @@ Cloudpods also provides **AI Cloud**, a unified management platform for large la
* Those who need a compact and fully automatic baremetal lift-cycle management solution
* Those who want to turn a VMware vSphere virtualization cluster into a private cloud
* Those who need a cohesive view of both public and private cloud in a hybrid cloud setup
* Those who need a centric portal to access multiple acccounts from multiple public clouds
* Those who need a centric portal to access multiple accounts from multiple public clouds
* Those who is currently using a single cloud account, but will not lose the possibility to adopt multicloud strategy
* Those who need to deploy and manage LLM inference services and AI container applications with GPU support
@@ -29,15 +29,15 @@ See [Introduction](https://www.cloudpods.org/docs/introduction/) for details.
### AI Cloud
* **AI Inference Services**: Deploy and manage LLM inference instances with GPU scheduling, model mounting, and inference service address allocation.
* **AI Inference Services**: Deploy and manage LLM inference instances (Ollama, vLLM, SGLang, and more) with GPU scheduling, model mounting, and inference service address allocation.
* **AI Application Management**: One-stop deployment of LLM application orchestration, agent assistants, image generation, and other AI container applications.
* **Model Library**: Unified management of model sources, versions, and caches, supporting multi-instance reuse and offline distribution.
* **Templates and Images**: Define resource specifications (CPU/memory/GPU) through templates, manage container runtime environments through images.
* **GPU Operations**: Automatic GPU device detection and registration, unified NVIDIA/CUDA environment configuration and management.
Supported AI applications:
* AI Inference: Ollama
* AI Applications: OpenClaw, Dify, ComfyUI
Supported AI workloads:
* AI Inference: Ollama, vLLM, SGLang
* AI Applications: OpenClaw, Dify, ComfyUI, Hermes Agent
### Supported cloud providers
@@ -52,15 +52,24 @@ Supported AI applications:
* Ctyun (China Telecom)
* ECloud (China Mobile)
* JDCloud
* Volcengine
* Baidu Cloud
* Kingsoft Cloud
* QingCloud
* Oracle Cloud
* China Unicom Cloud
* Private Clouds:
* OpenStack
* ZStack
* Alibaba Cloud Aspara
* Alibaba Cloud Apsara
* Huawei HCSO
* Nutanix
* BingoCloud
* OceanBase
* On-premise resources:
* Lightweight private cloud built on KVM
* VMWare vSphere vCenter/ESXi
* VMware vSphere vCenter/ESXi
* Proxmox VE
* Baremetals (IPMI, Redfish API)
* Object storages (Minio, Ceph, XSky)
* NAS (Ceph)
@@ -99,7 +108,7 @@ Please check this [issue](https://github.com/yunionio/cloudpods/issues/11427) fo
## Changelog
See [Relase Notes](https://www.cloudpods.org/en/docs/release-notes/) and [Changelog](https://www.cloudpods.org/en/docs/development/changelog/) for details.
See [Release Notes](https://www.cloudpods.org/en/docs/release-notes/) and [Changelog](https://www.cloudpods.org/en/docs/development/changelog/) for details.
## Contribution
@@ -112,4 +121,3 @@ Apache License 2.0. See [LICENSE](./LICENSE).
## AI-generated doc
[DeepWiki](https://deepwiki.com/yunionio/cloudpods) provides an amazing AI-generated doc of this project, you may refer to it for more detailed and comprehensive understanding of codes.