ghcr.io/open-webui/open-webui:v0.5.19 linux/amd64

Docker拉取命令 无权限下载?点我修复

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.5.19
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.5.19  ghcr.io/open-webui/open-webui:v0.5.19

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.5.19
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.5.19  ghcr.io/open-webui/open-webui:v0.5.19

Shell快速替换命令

sed -i 's#ghcr.io/open-webui/open-webui:v0.5.19#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.5.19#' 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/open-webui/open-webui:v0.5.19 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.5.19  ghcr.io/open-webui/open-webui:v0.5.19'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.5.19 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.5.19  ghcr.io/open-webui/open-webui:v0.5.19'

镜像构建历史

# 2025-03-05 14:25:41  0.00B 设置默认要执行的命令
CMD ["bash" "start.sh"]
                        
# 2025-03-05 14:25:41  0.00B 设置环境变量 DOCKER
ENV DOCKER=true
                        
# 2025-03-05 14:25:41  0.00B 设置环境变量 WEBUI_BUILD_VERSION
ENV WEBUI_BUILD_VERSION=1a51584fe02ba917e229f52367363ff783babd22
                        
# 2025-03-05 14:25:41  0.00B 定义构建参数
ARG BUILD_HASH=1a51584fe02ba917e229f52367363ff783babd22
                        
# 2025-03-05 14:25:41  0.00B 指定运行容器时使用的用户
USER 0:0
                        
# 2025-03-05 14:25:41  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1"] "0s" "0s" "0s" "0s" '\x00'}
                        
# 2025-03-05 14:25:41  0.00B 声明容器运行时监听的端口
EXPOSE map[8080/tcp:{}]
                        
# 2025-03-05 14:25:41  70.00MB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend . # buildkit
                        
# 2025-03-05 14:25:41  3.96KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/package.json /app/package.json # buildkit
                        
# 2025-03-05 14:25:41  133.71KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/CHANGELOG.md /app/CHANGELOG.md # buildkit
                        
# 2025-03-05 14:25:41  306.52MB 复制新文件或目录到容器中
COPY --chown=0:0 /app/build /app/build # buildkit
                        
# 2025-03-05 14:24:20  2.97GB 执行命令并创建新的镜像层
RUN |7 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu121 USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= UID=0 GID=0 /bin/sh -c pip3 install uv &&     if [ "$USE_CUDA" = "true" ]; then     pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir &&     uv pip install --system -r requirements.txt --no-cache-dir &&     python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" &&     python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])";     python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])";     else     pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir &&     uv pip install --system -r requirements.txt --no-cache-dir &&     python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" &&     python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])";     python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])";     fi;     chown -R $UID:$GID /app/backend/data/ # buildkit
                        
# 2025-03-05 14:23:19  1.77KB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend/requirements.txt ./requirements.txt # buildkit
                        
# 2025-02-27 19:47:48  1.02GB 执行命令并创建新的镜像层
RUN |7 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu121 USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= UID=0 GID=0 /bin/sh -c if [ "$USE_OLLAMA" = "true" ]; then     apt-get update &&     apt-get install -y --no-install-recommends git build-essential pandoc netcat-openbsd curl &&     apt-get install -y --no-install-recommends gcc python3-dev &&     apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 &&     apt-get install -y --no-install-recommends curl jq &&     curl -fsSL https://ollama.com/install.sh | sh &&     rm -rf /var/lib/apt/lists/*;     else     apt-get update &&     apt-get install -y --no-install-recommends git build-essential pandoc gcc netcat-openbsd curl jq &&     apt-get install -y --no-install-recommends gcc python3-dev &&     apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 &&     rm -rf /var/lib/apt/lists/*;     fi # buildkit
                        
# 2025-02-27 19:47:06  0.00B 执行命令并创建新的镜像层
RUN |7 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu121 USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= UID=0 GID=0 /bin/sh -c chown -R $UID:$GID /app $HOME # buildkit
                        
# 2025-02-27 19:47:06  36.00B 执行命令并创建新的镜像层
RUN |7 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu121 USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= UID=0 GID=0 /bin/sh -c echo -n 00000000-0000-0000-0000-000000000000 > $HOME/.cache/chroma/telemetry_user_id # buildkit
                        
# 2025-02-27 19:47:06  0.00B 执行命令并创建新的镜像层
RUN |7 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu121 USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= UID=0 GID=0 /bin/sh -c mkdir -p $HOME/.cache/chroma # buildkit
                        
# 2025-02-27 19:47:06  0.00B 执行命令并创建新的镜像层
RUN |7 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu121 USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= UID=0 GID=0 /bin/sh -c if [ $UID -ne 0 ]; then     if [ $GID -ne 0 ]; then     addgroup --gid $GID app;     fi;     adduser --uid $UID --gid $GID --home $HOME --disabled-password --no-create-home app;     fi # buildkit
                        
# 2025-02-27 19:47:05  0.00B 设置环境变量 HOME
ENV HOME=/root
                        
# 2025-02-27 19:47:05  0.00B 设置工作目录为/app/backend
WORKDIR /app/backend
                        
# 2025-02-27 19:47:05  0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/app/backend/data/cache/embedding/models
                        
# 2025-02-27 19:47:05  0.00B 设置环境变量 TIKTOKEN_ENCODING_NAME TIKTOKEN_CACHE_DIR
ENV TIKTOKEN_ENCODING_NAME=cl100k_base TIKTOKEN_CACHE_DIR=/app/backend/data/cache/tiktoken
                        
# 2025-02-27 19:47:05  0.00B 设置环境变量 RAG_EMBEDDING_MODEL RAG_RERANKING_MODEL SENTENCE_TRANSFORMERS_HOME
ENV RAG_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 RAG_RERANKING_MODEL= SENTENCE_TRANSFORMERS_HOME=/app/backend/data/cache/embedding/models
                        
# 2025-02-27 19:47:05  0.00B 设置环境变量 WHISPER_MODEL WHISPER_MODEL_DIR
ENV WHISPER_MODEL=base WHISPER_MODEL_DIR=/app/backend/data/cache/whisper/models
                        
# 2025-02-27 19:47:05  0.00B 设置环境变量 OPENAI_API_KEY WEBUI_SECRET_KEY SCARF_NO_ANALYTICS DO_NOT_TRACK ANONYMIZED_TELEMETRY
ENV OPENAI_API_KEY= WEBUI_SECRET_KEY= SCARF_NO_ANALYTICS=true DO_NOT_TRACK=true ANONYMIZED_TELEMETRY=false
                        
# 2025-02-27 19:47:05  0.00B 设置环境变量 OLLAMA_BASE_URL OPENAI_API_BASE_URL
ENV OLLAMA_BASE_URL=/ollama OPENAI_API_BASE_URL=
                        
# 2025-02-27 19:47:05  0.00B 设置环境变量 ENV PORT USE_OLLAMA_DOCKER USE_CUDA_DOCKER USE_CUDA_DOCKER_VER USE_EMBEDDING_MODEL_DOCKER USE_RERANKING_MODEL_DOCKER
ENV ENV=prod PORT=8080 USE_OLLAMA_DOCKER=false USE_CUDA_DOCKER=false USE_CUDA_DOCKER_VER=cu121 USE_EMBEDDING_MODEL_DOCKER=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL_DOCKER=
                        
# 2025-02-27 19:47:05  0.00B 定义构建参数
ARG GID=0
                        
# 2025-02-27 19:47:05  0.00B 定义构建参数
ARG UID=0
                        
# 2025-02-27 19:47:05  0.00B 定义构建参数
ARG USE_RERANKING_MODEL=
                        
# 2025-02-27 19:47:05  0.00B 定义构建参数
ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
                        
# 2025-02-27 19:47:05  0.00B 定义构建参数
ARG USE_CUDA_VER=cu121
                        
# 2025-02-27 19:47:05  0.00B 定义构建参数
ARG USE_OLLAMA=false
                        
# 2025-02-27 19:47:05  0.00B 定义构建参数
ARG USE_CUDA=false
                        
# 2024-12-04 06:49:59  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2024-12-04 06:49:59  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
                        
# 2024-12-04 06:49:59  45.80MB 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="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		--with-lto 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:--Wl},--strip-all"; 	make -j "$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 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==65.5.1' 		wheel 	; 	pip3 --version # buildkit
                        
# 2024-12-04 06:49:59  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=2a9920c7a0cd236de33644ed980a13cbbc21058bfdc528febb6081575ed73be3
                        
# 2024-12-04 06:49:59  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.11
                        
# 2024-12-04 06:49:59  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2024-12-04 06:49:59  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
                        
# 2024-12-04 06:49:59  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2024-12-04 06:49:59  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
                        
# 2024-12-04 06:49:59  74.78MB 
# debian.sh --arch 'amd64' out/ 'bookworm' '@1740355200'
                        
                    

镜像信息

{
    "Id": "sha256:6e5b28ec50b61a54abc4495b29139d12bd1c521f72d3a9880f3878e3606bb8f5",
    "RepoTags": [
        "ghcr.io/open-webui/open-webui:v0.5.19",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.5.19"
    ],
    "RepoDigests": [
        "ghcr.io/open-webui/open-webui@sha256:6bcdb458af47c555f2b0e6f39275ba128d3c48197c118f6fd58fec2db612bc74",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui@sha256:4a32dc1bd3a23317128e1143010ff2527e6fe4c0fd60137dbeff6b3719a2bd1a"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-03-05T06:25:41.769777481Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "0:0",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8080/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
            "PYTHON_VERSION=3.11.11",
            "PYTHON_SHA256=2a9920c7a0cd236de33644ed980a13cbbc21058bfdc528febb6081575ed73be3",
            "ENV=prod",
            "PORT=8080",
            "USE_OLLAMA_DOCKER=false",
            "USE_CUDA_DOCKER=false",
            "USE_CUDA_DOCKER_VER=cu121",
            "USE_EMBEDDING_MODEL_DOCKER=sentence-transformers/all-MiniLM-L6-v2",
            "USE_RERANKING_MODEL_DOCKER=",
            "OLLAMA_BASE_URL=/ollama",
            "OPENAI_API_BASE_URL=",
            "OPENAI_API_KEY=",
            "WEBUI_SECRET_KEY=",
            "SCARF_NO_ANALYTICS=true",
            "DO_NOT_TRACK=true",
            "ANONYMIZED_TELEMETRY=false",
            "WHISPER_MODEL=base",
            "WHISPER_MODEL_DIR=/app/backend/data/cache/whisper/models",
            "RAG_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2",
            "RAG_RERANKING_MODEL=",
            "SENTENCE_TRANSFORMERS_HOME=/app/backend/data/cache/embedding/models",
            "TIKTOKEN_ENCODING_NAME=cl100k_base",
            "TIKTOKEN_CACHE_DIR=/app/backend/data/cache/tiktoken",
            "HF_HOME=/app/backend/data/cache/embedding/models",
            "HOME=/root",
            "WEBUI_BUILD_VERSION=1a51584fe02ba917e229f52367363ff783babd22",
            "DOCKER=true"
        ],
        "Cmd": [
            "bash",
            "start.sh"
        ],
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1"
            ]
        },
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app/backend",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2025-03-05T06:23:01.205Z",
            "org.opencontainers.image.description": "User-friendly AI Interface (Supports Ollama, OpenAI API, ...)",
            "org.opencontainers.image.licenses": "BSD-3-Clause",
            "org.opencontainers.image.revision": "1a51584fe02ba917e229f52367363ff783babd22",
            "org.opencontainers.image.source": "https://github.com/open-webui/open-webui",
            "org.opencontainers.image.title": "open-webui",
            "org.opencontainers.image.url": "https://github.com/open-webui/open-webui",
            "org.opencontainers.image.version": "0.5.19"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 4493508324,
    "GraphDriver": {
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