ghcr.io/tbphp/gpt-load:v1.0.20 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/tbphp/gpt-load:v1.0.20
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/tbphp/gpt-load:v1.0.20  ghcr.io/tbphp/gpt-load:v1.0.20

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/tbphp/gpt-load:v1.0.20
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/tbphp/gpt-load:v1.0.20  ghcr.io/tbphp/gpt-load:v1.0.20

Shell快速替换命令

sed -i 's#ghcr.io/tbphp/gpt-load:v1.0.20#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/tbphp/gpt-load:v1.0.20#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/tbphp/gpt-load:v1.0.20 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/tbphp/gpt-load:v1.0.20  ghcr.io/tbphp/gpt-load:v1.0.20'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/tbphp/gpt-load:v1.0.20 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/tbphp/gpt-load:v1.0.20  ghcr.io/tbphp/gpt-load:v1.0.20'

镜像构建历史

# 2025-08-11 07:46:57  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/app/gpt-load"]
                        
# 2025-08-11 07:46:57  0.00B 声明容器运行时监听的端口
EXPOSE map[3001/tcp:{}]
                        
# 2025-08-11 07:46:57  21.59MB 复制新文件或目录到容器中
COPY /build/gpt-load . # buildkit
                        
# 2025-08-11 07:45:08  1.82MB 执行命令并创建新的镜像层
RUN /bin/sh -c apk upgrade --no-cache     && apk add --no-cache ca-certificates tzdata     && update-ca-certificates # buildkit
                        
# 2025-08-11 07:45:06  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-07-15 19:01:16  0.00B 设置默认要执行的命令
CMD ["/bin/sh"]
                        
# 2025-07-15 19:01:16  8.31MB 复制文件或目录到容器中
ADD alpine-minirootfs-3.22.1-x86_64.tar.gz / # buildkit
                        
                    

镜像信息

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    "Id": "sha256:73777dc66e4a7d28edace97d8e5cc6d0bf4335a30c6b5dc4caaceb684d0e9bdb",
    "RepoTags": [
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    ],
    "RepoDigests": [
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    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-08-10T23:46:57.609614214Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "3001/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": [
            "/app/gpt-load"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-08-10T23:45:03.950Z",
            "org.opencontainers.image.description": "智能密钥轮询的多渠道 AI 代理。 Multi-channel AI proxy with intelligent key rotation.",
            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.revision": "3dd98f4b0a6e0da14ecc74db51d33b01806d711e",
            "org.opencontainers.image.source": "https://github.com/tbphp/gpt-load",
            "org.opencontainers.image.title": "gpt-load",
            "org.opencontainers.image.url": "https://github.com/tbphp/gpt-load",
            "org.opencontainers.image.version": "v1.0.20"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 31722755,
    "GraphDriver": {
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            "MergedDir": "/var/lib/docker/overlay2/9c3357eada680e21c0052f7221ab04e66747c6bfb9f100644feb3c43d9c8808c/merged",
            "UpperDir": "/var/lib/docker/overlay2/9c3357eada680e21c0052f7221ab04e66747c6bfb9f100644feb3c43d9c8808c/diff",
            "WorkDir": "/var/lib/docker/overlay2/9c3357eada680e21c0052f7221ab04e66747c6bfb9f100644feb3c43d9c8808c/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
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