镜像构建历史
# 2026-03-27 08:30:41 0.00B 设置默认要执行的命令
CMD ["bash" "start.sh"]
# 2026-03-27 08:30:41 0.00B 设置环境变量 DOCKER
ENV DOCKER=true
# 2026-03-27 08:30:41 0.00B 设置环境变量 WEBUI_BUILD_VERSION
ENV WEBUI_BUILD_VERSION=9bd84258d09eefe7bf975878fb0e31a5dadfe0f8
# 2026-03-27 08:30:41 0.00B 定义构建参数
ARG BUILD_HASH=9bd84258d09eefe7bf975878fb0e31a5dadfe0f8
# 2026-03-27 08:30:41 0.00B 指定运行容器时使用的用户
USER 0:0
# 2026-03-27 08:30:41 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=true USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c if [ "$USE_PERMISSION_HARDENING" = "true" ]; then set -eux; chgrp -R 0 /app /root || true; chmod -R g+rwX /app /root || true; find /app -type d -exec chmod g+s {} + || true; find /root -type d -exec chmod g+s {} + || true; fi # buildkit
# 2026-03-27 08:30:40 0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1"] "0s" "0s" "0s" "0s" '\x00'}
# 2026-03-27 08:30:40 0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
# 2026-03-27 08:30:40 71.73MB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend . # buildkit
# 2026-03-27 08:30:40 5.30KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/package.json /app/package.json # buildkit
# 2026-03-27 08:30:40 687.75KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/CHANGELOG.md /app/CHANGELOG.md # buildkit
# 2026-03-27 08:30:40 256.31MB 复制新文件或目录到容器中
COPY --chown=0:0 /app/build /app/build # buildkit
# 2026-03-26 06:54:02 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=true USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c if [ "$USE_OLLAMA" = "true" ]; then date +%s > /tmp/ollama_build_hash && echo "Cache broken at timestamp: `cat /tmp/ollama_build_hash`" && curl -fsSL https://ollama.com/install.sh | sh && rm -rf /var/lib/apt/lists/*; fi # buildkit
# 2026-03-26 06:51:37 2.90GB 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=true USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c set -e; pip3 install --no-cache-dir uv; if [ "$USE_CUDA" = "true" ]; then pip3 install 'torch<=2.9.1' torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir; uv pip install --system -r requirements.txt --no-cache-dir; python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')"; python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ.get('AUXILIARY_EMBEDDING_MODEL', 'TaylorAI/bge-micro-v2'), device='cpu')"; python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; python -c "import nltk; nltk.download('punkt_tab')"; else pip3 install 'torch<=2.9.1' torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir; uv pip install --system -r requirements.txt --no-cache-dir; if [ "$USE_SLIM" != "true" ]; then python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')"; python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ.get('AUXILIARY_EMBEDDING_MODEL', 'TaylorAI/bge-micro-v2'), 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'])"; python -c "import nltk; nltk.download('punkt_tab')"; fi; fi; mkdir -p /app/backend/data; chown -R $UID:$GID /app/backend/data/; rm -rf /var/lib/apt/lists/*; # buildkit
# 2026-03-26 06:50:49 3.19KB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend/requirements.txt ./requirements.txt # buildkit
# 2026-03-09 08:11:06 1.04GB 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=true USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends git build-essential pandoc gcc netcat-openbsd curl jq libmariadb-dev python3-dev ffmpeg libsm6 libxext6 zstd && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-03-26 06:54:02 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=true USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c chown -R $UID:$GID /app $HOME # buildkit
# 2026-03-02 05:04:41 36.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=true USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c echo -n 00000000-0000-0000-0000-000000000000 > $HOME/.cache/chroma/telemetry_user_id # buildkit
# 2026-03-02 05:04:41 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=true USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c mkdir -p $HOME/.cache/chroma # buildkit
# 2026-03-26 06:54:02 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=true USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 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
# 2026-03-02 05:04:41 0.00B 设置环境变量 HOME
ENV HOME=/root
# 2026-03-02 05:04:41 0.00B 设置工作目录为/app/backend
WORKDIR /app/backend
# 2026-03-02 05:04:41 0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/app/backend/data/cache/embedding/models
# 2026-03-02 05:04:41 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
# 2026-03-02 05:04:41 0.00B 设置环境变量 RAG_EMBEDDING_MODEL RAG_RERANKING_MODEL AUXILIARY_EMBEDDING_MODEL SENTENCE_TRANSFORMERS_HOME
ENV RAG_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 RAG_RERANKING_MODEL= AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 SENTENCE_TRANSFORMERS_HOME=/app/backend/data/cache/embedding/models
# 2026-03-02 05:04:41 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
# 2026-03-02 05:04:41 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
# 2026-03-02 05:04:41 0.00B 设置环境变量 OLLAMA_BASE_URL OPENAI_API_BASE_URL
ENV OLLAMA_BASE_URL=/ollama OPENAI_API_BASE_URL=
# 2026-03-02 05:04:41 0.00B 设置环境变量 ENV PORT USE_OLLAMA_DOCKER USE_CUDA_DOCKER USE_SLIM_DOCKER USE_CUDA_DOCKER_VER USE_EMBEDDING_MODEL_DOCKER USE_RERANKING_MODEL_DOCKER USE_AUXILIARY_EMBEDDING_MODEL_DOCKER
ENV ENV=prod PORT=8080 USE_OLLAMA_DOCKER=false USE_CUDA_DOCKER=false USE_SLIM_DOCKER=true USE_CUDA_DOCKER_VER=cu128 USE_EMBEDDING_MODEL_DOCKER=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL_DOCKER= USE_AUXILIARY_EMBEDDING_MODEL_DOCKER=TaylorAI/bge-micro-v2
# 2026-03-02 05:04:41 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG GID=0
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG UID=0
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG USE_RERANKING_MODEL=
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG USE_PERMISSION_HARDENING=false
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG USE_SLIM=true
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG USE_CUDA_VER=cu128
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG USE_OLLAMA=false
# 2026-03-02 05:04:41 0.00B 定义构建参数
ARG USE_CUDA=false
# 2026-02-25 03:49:29 0.00B 设置默认要执行的命令
CMD ["python3"]
# 2026-02-25 03:49:29 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/$dst"; done # buildkit
# 2026-02-25 03:49:29 45.50MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(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' && echo '--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 = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' | sort -u | xargs -rt dpkg-query --search | awk 'sub(":$", "", $1) { print $1 }' | 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==79.0.1' 'wheel<0.46' ; pip3 --version # buildkit
# 2026-02-25 03:41:50 0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78
# 2026-02-25 03:41:50 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.14
# 2026-02-25 03:41:50 0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
# 2026-02-25 03:41:50 9.26MB 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
# 2026-02-25 03:41:50 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2026-02-25 03:41:50 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
# 2026-02-23 08:00:00 74.83MB
# debian.sh --arch 'amd64' out/ 'bookworm' '@1771804800'
镜像信息
{
"Id": "sha256:5b84057a598d23413e9bfa10a6a2574612f55680d3fa350f8634a1d11fc5191c",
"RepoTags": [
"ghcr.io/open-webui/open-webui:main-slim",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:main-slim"
],
"RepoDigests": [
"ghcr.io/open-webui/open-webui@sha256:6ca12fadd11cb6565b7fa98c4001e860b2ef9df2bfcb18d380c75d1994138b0c",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui@sha256:e39866a3bbe2eaf441b26b4dbc8f9143204575aaa5ce9721c77248327b655db8"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-03-27T00:30:41.057848595Z",
"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=3.11.14",
"PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78",
"PYTHONUNBUFFERED=1",
"ENV=prod",
"PORT=8080",
"USE_OLLAMA_DOCKER=false",
"USE_CUDA_DOCKER=false",
"USE_SLIM_DOCKER=true",
"USE_CUDA_DOCKER_VER=cu128",
"USE_EMBEDDING_MODEL_DOCKER=sentence-transformers/all-MiniLM-L6-v2",
"USE_RERANKING_MODEL_DOCKER=",
"USE_AUXILIARY_EMBEDDING_MODEL_DOCKER=TaylorAI/bge-micro-v2",
"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=",
"AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2",
"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=9bd84258d09eefe7bf975878fb0e31a5dadfe0f8",
"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": "2026-03-27T00:27:05.398Z",
"org.opencontainers.image.description": "User-friendly AI Interface (Supports Ollama, OpenAI API, ...)",
"org.opencontainers.image.licenses": "NOASSERTION",
"org.opencontainers.image.revision": "9bd84258d09eefe7bf975878fb0e31a5dadfe0f8",
"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": "main-slim"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 4392543677,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/b038bc06d6654f9da65ff39e9229085e0e74cda42eef2ed1a6137dcd9434c579/diff:/var/lib/docker/overlay2/a509e237c0702e96f9e820d23522e6e40f02d63978ca58292892938a7af53bab/diff:/var/lib/docker/overlay2/5be2d04cfda4f5ae318d430afbfa05c00c41ab9e9efe068fa6e3b9e944e53a10/diff:/var/lib/docker/overlay2/ec3e8df14c92b9356d7f36c40ab89e095622ca00b131448d084b18d087d0ea97/diff:/var/lib/docker/overlay2/b9a3a32c126ddc854650a7f86b40ed8f387d2af7fa28f13c45670816c18cba08/diff:/var/lib/docker/overlay2/aefaa3a66211ff7630dac361cfefe8a50d5855a58fecf44aeaa651c8e6c36e74/diff:/var/lib/docker/overlay2/7fe50c1a1c968fb0efe44d233ae534ea9939e23143538d8b55c1f75fbe3b2ce8/diff:/var/lib/docker/overlay2/75a4d965107d41bf5ef21a2e70b637941a6d5c97c906dfd34e8b791d6f694ffc/diff:/var/lib/docker/overlay2/e3d484fac2c2b60c72adf12e2ecf253346d14b0f9854893c91afd975214bc9a0/diff:/var/lib/docker/overlay2/ecfaca90b5e4af4dc47d6829f0abb77efa44aa3e9c8ef60c40cf3849ec1a5403/diff:/var/lib/docker/overlay2/aa6dd54dcadc1e326642ca1cceb44c1bbc7cc3ef5af55e9f5b31e20563727b5d/diff:/var/lib/docker/overlay2/048afa1349178cd8936e72a3ce84d8c96ea7ed3214f93eda669a9cecb66ece9a/diff:/var/lib/docker/overlay2/3c1c586d5a37b18d3eff4098a35257bafffd0b61377327e795e90949b5b60e42/diff:/var/lib/docker/overlay2/aed8298f60b7e1a2b13631bbcfcbde5418c40e85932d1eeef1969beaea31ef8d/diff:/var/lib/docker/overlay2/40b17ef912b26822422b2483907bd229fe30010567dab65e6b2494a1c09c9dbb/diff:/var/lib/docker/overlay2/ce86ce915c6056cc15c73c8ff0f876f9c10efb348b68c7c7d94cce694bea99d8/diff:/var/lib/docker/overlay2/499cc6d85d37f89b7556d988116a714b6db64e0cc2224e5dbeca56ff996625ab/diff",
"MergedDir": "/var/lib/docker/overlay2/f4c0b341f7d844a5b67678d18e7973a9dd799c94da8d61e38de430adb1bc0e19/merged",
"UpperDir": "/var/lib/docker/overlay2/f4c0b341f7d844a5b67678d18e7973a9dd799c94da8d61e38de430adb1bc0e19/diff",
"WorkDir": "/var/lib/docker/overlay2/f4c0b341f7d844a5b67678d18e7973a9dd799c94da8d61e38de430adb1bc0e19/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:9eb9a78eeb101ab215acf43ffb2a709d5fca9ca2a22178564c7ee5cc30774c60",
"sha256:f3098f2e4408e57b4f0787f1e18511cd06ddecfad252a0f51f478088fe0052df",
"sha256:da331f07f3e9fb1214ced70513485eefe47e1d0a647b4af8fa5afb176b40b2a7",
"sha256:f108605b29eebcf199a536318658e173a8b1eb01172bdef33740acc5e50ee9ef",
"sha256:fd5537270fbbb029a3dee3a023deac3280b6f91bdbb97439b0b2911dd6c2331c",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:22b5b89da2b6fcbff8d0f950d83d2656c4f56e4d0c304bc9c2150ab26da95626",
"sha256:20834fbd1b3817d7965c6bea27eb045fc78b242c8b685402ccd65cb5d019635b",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:252b2e6a197e4a0424bc173a9878aa0deca3c45821e8c970e96e5fd1f59a0537",
"sha256:1ded921a62908f8292070e7a33768fcaeef18966d91b60a7775d37555a809488",
"sha256:d34e3236b704249748cefad22eece7e9fb66b5e38ade9d77c7a0ec3fcfeda8a9",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:be1566c07781f92b9e3de4af18a0b8abaeac0f0c47f9af4a8904ee4b6a4c80c4",
"sha256:ced610708378b04e2e9908bb4c71ac47b60caf36149ccb5baa70218c8ea4bad0",
"sha256:057350ff2aac7cbcf94d48db5cc49f08a0d2413f195a1d19ede2002ea8483a19",
"sha256:255ff5cf508b600d724d5f73182a597a0ce6ad5b811279a093c82db4e3944eeb",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
]
},
"Metadata": {
"LastTagTime": "2026-04-09T20:40:40.049480836+08:00"
}
}