docker.io/langgenius/dify-api:0.15.8 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8  docker.io/langgenius/dify-api:0.15.8

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8  docker.io/langgenius/dify-api:0.15.8

Shell快速替换命令

sed -i 's#langgenius/dify-api:0.15.8#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8  docker.io/langgenius/dify-api:0.15.8'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8  docker.io/langgenius/dify-api:0.15.8'

镜像构建历史

# 2025-05-30 16:28:46  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/bin/bash" "/entrypoint.sh"]
                        
# 2025-05-30 16:28:46  0.00B 设置环境变量 COMMIT_SHA
ENV COMMIT_SHA=4b938ab18d39b58a1ecad00c501cca1d78768e3f
                        
# 2025-05-30 16:28:46  0.00B 定义构建参数
ARG COMMIT_SHA=4b938ab18d39b58a1ecad00c501cca1d78768e3f
                        
# 2025-05-30 16:28:46  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /entrypoint.sh # buildkit
                        
# 2025-05-30 16:28:45  1.36KB 复制新文件或目录到容器中
COPY docker/entrypoint.sh /entrypoint.sh # buildkit
                        
# 2025-05-30 16:28:45  22.16MB 复制新文件或目录到容器中
COPY . /app/api/ # buildkit
                        
# 2025-05-30 16:28:45  90.91MB 执行命令并创建新的镜像层
RUN /bin/sh -c python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger')" # buildkit
                        
# 2025-05-30 16:28:40  0.00B 设置环境变量 PATH
ENV PATH=/app/api/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-05-30 16:28:40  2.44GB 复制新文件或目录到容器中
COPY /app/api/.venv /app/api/.venv # buildkit
                        
# 2025-05-30 16:27:10  0.00B 设置环境变量 VIRTUAL_ENV
ENV VIRTUAL_ENV=/app/api/.venv
                        
# 2025-05-30 16:27:10  248.01MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update     && apt-get install -y --no-install-recommends         curl nodejs libgmp-dev libmpfr-dev libmpc-dev         expat libldap-2.5-0 perl libsqlite3-0 zlib1g         fonts-noto-cjk         libmagic1     && apt-get autoremove -y     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-05-30 16:27:01  0.00B 设置工作目录为/app/api
WORKDIR /app/api
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 TZ
ENV TZ=UTC
                        
# 2025-05-30 16:27:01  0.00B 声明容器运行时监听的端口
EXPOSE map[5001/tcp:{}]
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 APP_WEB_URL
ENV APP_WEB_URL=http://127.0.0.1:3000
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 SERVICE_API_URL
ENV SERVICE_API_URL=http://127.0.0.1:5001
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 CONSOLE_WEB_URL
ENV CONSOLE_WEB_URL=http://127.0.0.1:3000
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 CONSOLE_API_URL
ENV CONSOLE_API_URL=http://127.0.0.1:5001
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 DEPLOY_ENV
ENV DEPLOY_ENV=PRODUCTION
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 EDITION
ENV EDITION=SELF_HOSTED
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 FLASK_APP
ENV FLASK_APP=app.py
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 POETRY_REQUESTS_TIMEOUT
ENV POETRY_REQUESTS_TIMEOUT=15
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 POETRY_VIRTUALENVS_CREATE
ENV POETRY_VIRTUALENVS_CREATE=true
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 POETRY_VIRTUALENVS_IN_PROJECT
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 POETRY_NO_INTERACTION
ENV POETRY_NO_INTERACTION=1
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 POETRY_CACHE_DIR
ENV POETRY_CACHE_DIR=/tmp/poetry_cache
                        
# 2025-05-30 16:27:01  63.18MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir poetry==${POETRY_VERSION} # buildkit
                        
# 2025-05-30 16:27:01  0.00B 设置环境变量 POETRY_VERSION
ENV POETRY_VERSION=2.0.1
                        
# 2025-05-30 10:53:05  0.00B 设置工作目录为/app/api
WORKDIR /app/api
                        
# 2025-05-09 06:27:23  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2025-05-09 06:27:23  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2025-05-09 06:27:23  40.19MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "$gnuArch" != 'riscv64-linux-musl' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 		arch="$(dpkg --print-architecture)"; arch="${arch##*-}"; 		case "$arch" in 			amd64|arm64) 				EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer"; 				;; 			i386) 				;; 			*) 				EXTRA_CFLAGS="${EXTRA_CFLAGS:-} -fno-omit-frame-pointer"; 				;; 		esac; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:--Wl},-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -r dpkg-query --search 		| cut -d: -f1 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	rm -rf /var/lib/apt/lists/*; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 	pip3 --version # buildkit
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=07ab697474595e06f06647417d3c7fa97ded07afc1a7e4454c5639919b46eaea
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.12.10
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305
                        
# 2025-05-09 06:27:23  9.24MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2025-05-09 06:27:23  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-05-09 06:27:23  74.81MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1747699200'
                        
                    

镜像信息

{
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    "RepoTags": [
        "langgenius/dify-api:0.15.8",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api:0.15.8"
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        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/langgenius/dify-api@sha256:4ebbb325bf18a47c61f67e936742f6909b3629035206a21aa43f47e3ce8cf04b"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-05-30T08:28:46.058380142Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "5001/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/app/api/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305",
            "PYTHON_VERSION=3.12.10",
            "PYTHON_SHA256=07ab697474595e06f06647417d3c7fa97ded07afc1a7e4454c5639919b46eaea",
            "POETRY_VERSION=2.0.1",
            "POETRY_CACHE_DIR=/tmp/poetry_cache",
            "POETRY_NO_INTERACTION=1",
            "POETRY_VIRTUALENVS_IN_PROJECT=true",
            "POETRY_VIRTUALENVS_CREATE=true",
            "POETRY_REQUESTS_TIMEOUT=15",
            "FLASK_APP=app.py",
            "EDITION=SELF_HOSTED",
            "DEPLOY_ENV=PRODUCTION",
            "CONSOLE_API_URL=http://127.0.0.1:5001",
            "CONSOLE_WEB_URL=http://127.0.0.1:3000",
            "SERVICE_API_URL=http://127.0.0.1:5001",
            "APP_WEB_URL=http://127.0.0.1:3000",
            "TZ=UTC",
            "VIRTUAL_ENV=/app/api/.venv",
            "COMMIT_SHA=4b938ab18d39b58a1ecad00c501cca1d78768e3f"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app/api",
        "Entrypoint": [
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            "/entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-05-30T08:26:42.808Z",
            "org.opencontainers.image.description": "Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.",
            "org.opencontainers.image.licenses": "NOASSERTION",
            "org.opencontainers.image.revision": "4b938ab18d39b58a1ecad00c501cca1d78768e3f",
            "org.opencontainers.image.source": "https://github.com/langgenius/dify",
            "org.opencontainers.image.title": "dify",
            "org.opencontainers.image.url": "https://github.com/langgenius/dify",
            "org.opencontainers.image.version": "0.15.8"
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    "Architecture": "amd64",
    "Os": "linux",
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