镜像构建历史
# 2026-02-14 08:08:04 0.00B 设置默认要执行的命令
CMD ["bash" "start.sh"]
# 2026-02-14 08:08:04 0.00B 设置环境变量 DOCKER
ENV DOCKER=true
# 2026-02-14 08:08:04 0.00B 设置环境变量 WEBUI_BUILD_VERSION
ENV WEBUI_BUILD_VERSION=883f1dda0f18fbe26aca7aed5a8804021a3685ca
# 2026-02-14 08:08:04 0.00B 定义构建参数
ARG BUILD_HASH=883f1dda0f18fbe26aca7aed5a8804021a3685ca
# 2026-02-14 08:08:04 0.00B 指定运行容器时使用的用户
USER 0:0
# 2026-02-14 08:08:04 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 [ "$USE_PERMISSION_HARDENING" = "true" ]; then set -eux; chgrp -R 0 /app /root || true; chmod -R g+rwX /app /root || true; find /app -type d -exec chmod g+s {} + || true; find /root -type d -exec chmod g+s {} + || true; fi # buildkit
# 2026-02-14 08:08:04 0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1"] "0s" "0s" "0s" "0s" '\x00'}
# 2026-02-14 08:08:04 0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
# 2026-02-14 08:08:04 71.57MB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend . # buildkit
# 2026-02-14 08:08:04 5.09KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/package.json /app/package.json # buildkit
# 2026-02-14 08:08:04 554.44KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/CHANGELOG.md /app/CHANGELOG.md # buildkit
# 2026-02-14 08:08:04 186.20MB 复制新文件或目录到容器中
COPY --chown=0:0 /app/build /app/build # buildkit
# 2026-02-14 08:06:41 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=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 [ "$USE_OLLAMA" = "true" ]; then date +%s > /tmp/ollama_build_hash && echo "Cache broken at timestamp: `cat /tmp/ollama_build_hash`" && curl -fsSL https://ollama.com/install.sh | sh && rm -rf /var/lib/apt/lists/*; fi # buildkit
# 2026-02-14 08:06:40 3.23GB 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c pip3 install --no-cache-dir uv && if [ "$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
# 2026-02-13 07:43:58 2.92KB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend/requirements.txt ./requirements.txt # buildkit
# 2026-02-13 07:43:57 1.02GB 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 python3-dev ffmpeg libsm6 libxext6 zstd && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-02-13 07:46:18 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
# 2026-02-13 07:43:16 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
# 2026-02-13 07:43:16 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 mkdir -p $HOME/.cache/chroma # buildkit
# 2026-02-13 07:46:18 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
# 2026-02-13 07:43:16 0.00B 设置环境变量 HOME
ENV HOME=/root
# 2026-02-13 07:43:16 0.00B 设置工作目录为/app/backend
WORKDIR /app/backend
# 2026-02-13 07:43:16 0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/app/backend/data/cache/embedding/models
# 2026-02-13 07:43:16 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
# 2026-02-13 07:43:16 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
# 2026-02-13 07:43:16 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
# 2026-02-13 07:43:16 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
# 2026-02-13 07:43:16 0.00B 设置环境变量 OLLAMA_BASE_URL OPENAI_API_BASE_URL
ENV OLLAMA_BASE_URL=/ollama OPENAI_API_BASE_URL=
# 2026-02-13 07:43:16 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
# 2026-02-13 07:43:16 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG GID=0
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG UID=0
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG USE_RERANKING_MODEL=
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG USE_PERMISSION_HARDENING=false
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG USE_SLIM=false
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG USE_CUDA_VER=cu128
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG USE_OLLAMA=false
# 2026-02-13 07:43:16 0.00B 定义构建参数
ARG USE_CUDA=false
# 2026-02-05 04:27:57 0.00B 设置默认要执行的命令
CMD ["python3"]
# 2026-02-05 04:27:57 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/$dst"; done # buildkit
# 2026-02-05 04:27:57 45.50MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(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
# 2026-02-05 04:19:32 0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78
# 2026-02-05 04:19:32 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.14
# 2026-02-05 04:19:32 0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
# 2026-02-05 04:19:32 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
# 2026-02-05 04:19:32 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2026-02-05 04:19:32 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
# 2026-02-02 08:00:00 74.81MB
# debian.sh --arch 'amd64' out/ 'bookworm' '@1769990400'
镜像信息
{
"Id": "sha256:ebb0056c7d6e4d61c849085afbcac4c6752b712db3b92bc90d84db42a1094139",
"RepoTags": [
"ghcr.io/open-webui/open-webui:v0.8.1",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.8.1"
],
"RepoDigests": [
"ghcr.io/open-webui/open-webui@sha256:882a4aab2cb573feeb681f7f800ac5ada4751d03981cc324718757c74ecc1c70",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui@sha256:20921dd8f68824f9dccad54e469e5b456312a5782f2085af3cc0b064a7af112a"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-02-14T00:08:04.485506799Z",
"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=883f1dda0f18fbe26aca7aed5a8804021a3685ca",
"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": "2026-02-14T00:04:56.283Z",
"org.opencontainers.image.description": "User-friendly AI Interface (Supports Ollama, OpenAI API, ...)",
"org.opencontainers.image.licenses": "NOASSERTION",
"org.opencontainers.image.revision": "883f1dda0f18fbe26aca7aed5a8804021a3685ca",
"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": "0.8.1"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 4639474434,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/2ffb8924368b7868d5709ab4ca795f69089a69868f907d1702eae747a4d0e40a/diff:/var/lib/docker/overlay2/c18cc94de809af363bf9f643d29dae4545e35664b8d7a87ced924ab18d91ef94/diff:/var/lib/docker/overlay2/f12a7e7ef62dea044e5ab21c6514d3dd62b35da15c6c9675407a19b24a26bbf9/diff:/var/lib/docker/overlay2/1f35b58655594d49a0cdc2c0b502ae5cd234b214f63edec6c813c9a3f63d16ee/diff:/var/lib/docker/overlay2/77370a219bab00739be729674cf490f0fa5bca94a765f0227e0146a54b0c37c1/diff:/var/lib/docker/overlay2/bb50ff46b5b6cdabc2b469c40f8565978ba05f87fd4f029edb85ee6f983785a3/diff:/var/lib/docker/overlay2/9a300c431e2194d5a42f49b37198b8fddfab4f43cde6fcfc2df0b242d51f86d0/diff:/var/lib/docker/overlay2/c72995227abbdc2de5d09b0ac4f3313499f8e096c42f4b6f5a6a8fc1b106d00b/diff:/var/lib/docker/overlay2/dd6f39c6f612b8a4983e37af9c9ed3772e069d975601514327736d87ab7bd113/diff:/var/lib/docker/overlay2/02f116d45eab47a3b6e56b2082afd74d9969dab365038eb231222cfb6d7fba8d/diff:/var/lib/docker/overlay2/5d4cf53c1ecacdea9ff09f527206bcb303c5eb2d7994990ff233fc36d6abf63c/diff:/var/lib/docker/overlay2/df5002a7581dec8b945a7107da9e1a23485e7997b830db09ddde463dad951bab/diff:/var/lib/docker/overlay2/61130f59d17f0277955ed152f802e1d17d9b8b6c8a43da09955729345596f442/diff:/var/lib/docker/overlay2/3ec741ba779627883c1ed6f98d55bd0ab381304b4b342d6a7e3369822b4286dc/diff:/var/lib/docker/overlay2/5842f81baba7106f11ac7ba0f2185c4f92859737a566e57ae6e55b658d46ce70/diff:/var/lib/docker/overlay2/b49cb7ce745c77bceb168d06ce2cc00656d83beb8621417e4ceba15946d6fc08/diff:/var/lib/docker/overlay2/a37951ade2db2b9f2862e7d5292aee8298bd317b9e427b09b565444962639344/diff",
"MergedDir": "/var/lib/docker/overlay2/1de8b31a7425e3c14d97b8c0f83c8e11059037e3e9e797136fe1cb398b4c6d57/merged",
"UpperDir": "/var/lib/docker/overlay2/1de8b31a7425e3c14d97b8c0f83c8e11059037e3e9e797136fe1cb398b4c6d57/diff",
"WorkDir": "/var/lib/docker/overlay2/1de8b31a7425e3c14d97b8c0f83c8e11059037e3e9e797136fe1cb398b4c6d57/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:e48af84b2108a5d73effd9e16685b42ac33e7994e606398c46690918f5f3604a",
"sha256:98c0a92ad126adb3a5fd428deabde550351fe47aa4c0ee7986616e3837240047",
"sha256:7aaf27f183f8b59d50165d5e33b2be164a796181f3dc32c881b2eb30fdce000a",
"sha256:ad37757a633b1bb9159e5687faf9dec4ce10a20bc318e9ae7c580a42e719854c",
"sha256:d90fef095b45ce04c4440f3ae4db1e97ea00783998d54913fba7525194d21dab",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:fc653cebe02c4754821a485128c7e6445f959797ffde1e2d6e417b5f9fb77dcb",
"sha256:899a26b813a9121017131b0d59fb690e7d996e221a87cc80d2fbfd9af0b16c1b",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:9672dee49c686fe0ba02538459262c0c74351a5d55834a45a7eae2395fc56b42",
"sha256:4173a81f1d594651abc6bcc6758efb8f6cf2f6e53819c3aedda47eff2f547d95",
"sha256:f5d1ae067f7192659279cc3e0470ee35cf2576589079e679deac47160fc363b4",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:5bf4bba2f6c19852f8201cac5d199bcd5f3257af8ff789e9c9e77db738b8ec6f",
"sha256:67c306166c676e4ac73d512459b8927e030ee11762b56cf1ffa3fb828fd4e4db",
"sha256:371895e4d83a90d146c7e0c2d34a4941fb167c64e4418913bb835f8141e0fc98",
"sha256:cc7f600e252248c5bf3558b1ad297fdb0fe45502bd2543df0e14b99cdc8a3749",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
]
},
"Metadata": {
"LastTagTime": "2026-02-14T11:49:29.344255347+08:00"
}
}