镜像构建历史
# 2026-03-26 06:53:59 0.00B 设置默认要执行的命令
CMD ["bash" "start.sh"]
# 2026-03-26 06:53:59 0.00B 设置环境变量 DOCKER
ENV DOCKER=true
# 2026-03-26 06:53:59 0.00B 设置环境变量 WEBUI_BUILD_VERSION
ENV WEBUI_BUILD_VERSION=4d058a125b17eb57212af5eab98d683548d546e3
# 2026-03-26 06:53:59 0.00B 定义构建参数
ARG BUILD_HASH=4d058a125b17eb57212af5eab98d683548d546e3
# 2026-03-26 06:53:59 0.00B 指定运行容器时使用的用户
USER 0:0
# 2026-03-26 06:53:59 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=false 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 [ "$USE_PERMISSION_HARDENING" = "true" ]; then set -eux; chgrp -R 0 /app /root || true; chmod -R g+rwX /app /root || true; find /app -type d -exec chmod g+s {} + || true; find /root -type d -exec chmod g+s {} + || true; fi # buildkit
# 2026-03-26 06:53:59 0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1"] "0s" "0s" "0s" "0s" '\x00'}
# 2026-03-26 06:53:59 0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
# 2026-03-26 06:53:59 71.72MB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend . # buildkit
# 2026-03-26 06:53:59 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
# 2026-03-26 06:53:59 685.53KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/CHANGELOG.md /app/CHANGELOG.md # buildkit
# 2026-03-26 06:53:59 256.30MB 复制新文件或目录到容器中
COPY --chown=0:0 /app/build /app/build # buildkit
# 2026-03-26 06:52:16 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=false 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 [ "$USE_OLLAMA" = "true" ]; then date +%s > /tmp/ollama_build_hash && echo "Cache broken at timestamp: `cat /tmp/ollama_build_hash`" && curl -fsSL https://ollama.com/install.sh | sh && rm -rf /var/lib/apt/lists/*; fi # buildkit
# 2026-03-26 06:52:15 3.24GB 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c set -e; pip3 install --no-cache-dir uv; if [ "$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 06:50:59 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 08:11:19 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=false 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
# 2026-03-09 08:14:01 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=false 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 05:04:54 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=false 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 05:04:54 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=false 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
# 2026-03-09 08:14:01 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=false 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 05:04:54 0.00B 设置环境变量 HOME
ENV HOME=/root
# 2026-03-02 05:04:54 0.00B 设置工作目录为/app/backend
WORKDIR /app/backend
# 2026-03-02 05:04:54 0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/app/backend/data/cache/embedding/models
# 2026-03-02 05:04:54 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 05:04:54 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 05:04:54 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 05:04:54 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 05:04:54 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 05:04:54 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=false 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 05:04:54 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
# 2026-03-02 05:04:54 0.00B 定义构建参数
ARG GID=0
# 2026-03-02 05:04:54 0.00B 定义构建参数
ARG UID=0
# 2026-03-02 05:04:54 0.00B 定义构建参数
ARG USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2
# 2026-03-02 05:04:54 0.00B 定义构建参数
ARG USE_RERANKING_MODEL=
# 2026-03-02 05:04:54 0.00B 定义构建参数
ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
# 2026-03-02 05:04:54 0.00B 定义构建参数
ARG USE_PERMISSION_HARDENING=false
# 2026-03-02 05:04:54 0.00B 定义构建参数
ARG USE_SLIM=false
# 2026-03-02 05:04:54 0.00B 定义构建参数
ARG USE_CUDA_VER=cu128
# 2026-03-02 05:04:54 0.00B 定义构建参数
ARG USE_OLLAMA=false
# 2026-03-02 05:04:54 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": "sha256:3ba210d7c939a1fcdbd5e316c4af948d6c576e4b1cefe656f4bb5c3d4fc9e26e",
"RepoTags": [
"ghcr.io/open-webui/open-webui:v0.8.11",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.8.11"
],
"RepoDigests": [
"ghcr.io/open-webui/open-webui@sha256:a1e098b30bf4e06fe2bac1c7af1282b1c8adccd34aff02f9f7e843ffc257452b",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui@sha256:9fa3d3e53e164ff68c1d140559b7c30efd098f0dc020c30fbb5e2d47d005d0ea"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-03-25T22:53:59.791821273Z",
"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=false",
"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=4d058a125b17eb57212af5eab98d683548d546e3",
"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": "2026-03-25T22:50:40.759Z",
"org.opencontainers.image.description": "User-friendly AI Interface (Supports Ollama, OpenAI API, ...)",
"org.opencontainers.image.licenses": "NOASSERTION",
"org.opencontainers.image.revision": "4d058a125b17eb57212af5eab98d683548d546e3",
"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": "0.8.11"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 4740931535,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/4a0b698eb01072047057e28f3d331587765ab08b02ecbbb67b8fb446eda0a525/diff:/var/lib/docker/overlay2/fa8d4995c4c6eee07dbc5483cc9a212c43a2bb9756713f7f0c0a7275f9cbc83a/diff:/var/lib/docker/overlay2/312123c185d7a55ca32c9a2458150c2e50f162f59a1f64dacd8bf5c29619731d/diff:/var/lib/docker/overlay2/48a54959112e3eb8d7eeb7265b8eecc037dc3221635723482bc7b4e716b5d406/diff:/var/lib/docker/overlay2/5b236813d1134ad5f5987070baef767783ff3b504358e5cdfd358e234386b903/diff:/var/lib/docker/overlay2/104b8797c4111003b551f69a5ddf616e50019aa427d1153216c2b0971beaf614/diff:/var/lib/docker/overlay2/cb956ce6420dfe70ebe161321f8c19deb771bf5c935ca4b9d439e541c0819089/diff:/var/lib/docker/overlay2/4d011786d785592b3d2707b1ffdc5af1977e03ac3f7635c7f63d1ab16290b641/diff:/var/lib/docker/overlay2/8b2de477a13c3986a295f267bcad3cbf64f51915cf9e0fd4590381d0267a2e92/diff:/var/lib/docker/overlay2/96a264139f83420d2d2d81326c0773b1f525f34ad8589c1008d3872e62642a2d/diff:/var/lib/docker/overlay2/16067c5bb3e91ebadc6265550117cf768aded117969de10099f420a166a83aad/diff:/var/lib/docker/overlay2/83e688479d14d2316ae4c8d2e2da1f89f4c23641e0cb9f12c1ccfc78e2a1b106/diff:/var/lib/docker/overlay2/38fa8cc0b80b91d8ad2db66698460cd32ac1297ae990ccb141185d99bb4f5bca/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/ea74707a637400e2f9d34c32bcbe7301ffb864672f2b19a705f175b26b2964cd/merged",
"UpperDir": "/var/lib/docker/overlay2/ea74707a637400e2f9d34c32bcbe7301ffb864672f2b19a705f175b26b2964cd/diff",
"WorkDir": "/var/lib/docker/overlay2/ea74707a637400e2f9d34c32bcbe7301ffb864672f2b19a705f175b26b2964cd/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:9eb9a78eeb101ab215acf43ffb2a709d5fca9ca2a22178564c7ee5cc30774c60",
"sha256:f3098f2e4408e57b4f0787f1e18511cd06ddecfad252a0f51f478088fe0052df",
"sha256:da331f07f3e9fb1214ced70513485eefe47e1d0a647b4af8fa5afb176b40b2a7",
"sha256:f108605b29eebcf199a536318658e173a8b1eb01172bdef33740acc5e50ee9ef",
"sha256:631a71c1829866bc99bdbe4480b33697d5c91cd6919be29122860ce7593f99f1",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:86ef5b02a564da77d35192e737c11a32d3112fc97f24c200b6d62e9e694a67a0",
"sha256:c3a351e8d777d19bcedaf4198c32bda9a7eb7e44141543904701934250cd3191",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:00fa9c42cd121584b9c66fe668d069b79e915a384f990e3708cce345bad51673",
"sha256:d450d63f6280efc164d7bfd702f65fd74627a75433d155025652a175c5f2b092",
"sha256:ff7178b67a29c317c12418f31361fe716de17a03b9d35c8bc35ea0ccf50cd8bb",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:9ce4591d56c8eca3f594f76fc82d371c9b242950df0d40dc478ef4dccfcaeb80",
"sha256:b5bc36b198773d643ad47296ca1c7514a9e14bd420472fddfc26a201de7c2a5e",
"sha256:ca9d46ad1b161a083afdef5d658c6ff5bc0cb483ba9b648f2fc48cd8a6678a83",
"sha256:5ece38951b6d1f70e837ff3cfc07d9c2a580293349fb30162f308fc5e5ef022f",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
]
},
"Metadata": {
"LastTagTime": "2026-03-26T17:45:53.722097927+08:00"
}
}