镜像构建历史
# 2026-11-03 20:36:14 0.00B 设置默认要执行的命令
CMD ["bash" "start.sh"]
# 2026-11-03 20:36:14 0.00B 设置环境变量 DOCKER
ENV DOCKER=true
# 2026-11-03 20:36:14 0.00B 设置环境变量 WEBUI_BUILD_HASH
ENV WEBUI_BUILD_HASH=c38885a1a737da4968f157092f304f3b5481d0bf
# 2026-11-03 20:36:14 0.00B 定义构建参数
ARG BUILD_HASH=c38885a1a737da4968f157092f304f3b5481d0bf
# 2026-11-03 20:36:14 0.00B 指定运行容器时使用的用户
USER 0:0
# 2026-11-03 20:36:14 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 [ "$USE_PERMISSION_HARDENING" = "true" ]; then set -eux; chgrp -R 0 /app /root || true; chmod -R g+rwX /app /root || true; find /app -type d -exec chmod g+s {} + || true; find /root -type d -exec chmod g+s {} + || true; fi # buildkit
# 2026-11-03 20:36:14 0.00B 指定检查容器健康状态的命令
HEALTHCHECK {Test:[CMD-SHELL curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1] Interval:0s Timeout:0s StartPeriod:0s StartInterval:0s Retries:0}
# 2026-11-03 20:36:14 0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
# 2026-11-03 20:36:14 7.87MB 复制新文件或目录到容器中
COPY /app/backend . # buildkit
# 2026-11-03 20:36:14 5.98KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/package.json /app/package.json # buildkit
# 2026-11-03 20:36:14 1.61MB 复制新文件或目录到容器中
COPY --chown=0:0 /app/CHANGELOG.md /app/CHANGELOG.md # buildkit
# 2026-11-03 20:36:14 246.02MB 复制新文件或目录到容器中
COPY --chown=0:0 /app/build /app/build # buildkit
# 2026-11-03 20:33:36 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 [ "$USE_OLLAMA" = "true" ]; then date +%s > /tmp/ollama_build_hash && echo "Cache broken at timestamp: `cat /tmp/ollama_build_hash`" && curl -fsSL https://ollama.com/install.sh | sh && rm -rf /var/lib/apt/lists/*; fi # buildkit
# 2026-11-03 20:33:35 3.20GB 执行命令并创建新的镜像层
RUN |10 USE_CUDA=false USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c set -e; if [ "$USE_SLIM" = "true" ]; then uv pip install --system -r requirements-slim.txt --no-cache-dir; elif [ "$USE_CUDA" = "true" ]; then pip3 install 'torch<=2.9.1' torchvision torchaudio --index-url https://download.pytorch.org/whl/$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'])"; 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'])"; fi; fi; mkdir -p /app/backend/data; chown -R $UID:$GID /app/backend/data/; if [ -d /app/backend/data/cache ]; then chmod -R a+rX /app/backend/data/cache; fi; rm -rf /var/lib/apt/lists/*; # buildkit
# 2026-11-03 20:32:17 0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
# 2026-11-03 20:32:17 5.74KB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend/requirements*.txt ./ # buildkit
# 2026-11-03 20:32:17 1.01GB 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 curl jq ca-certificates && if [ "$USE_SLIM" != "true" ]; then apt-get install -y --no-install-recommends git build-essential pandoc gcc libmariadb-dev ffmpeg libsm6 libxext6; fi && if [ "$USE_OLLAMA" = "true" ]; then apt-get install -y --no-install-recommends zstd; fi && rm -rf /var/lib/apt/lists/* # buildkit
# 2026-11-03 20:31:38 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 [ "$USE_SLIM" = "true" ] && { [ "$USE_CUDA" = "true" ] || [ "$USE_OLLAMA" = "true" ]; }; then echo "USE_SLIM cannot be combined with USE_CUDA or USE_OLLAMA" >&2; exit 1; fi # buildkit
# 2026-11-03 20:31:38 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
# 2026-11-03 20:31:37 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
# 2026-11-03 20:31:37 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
# 2026-11-03 20:31:37 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
# 2026-11-03 20:31:37 0.00B 设置环境变量 HOME
ENV HOME=/root
# 2026-11-03 20:31:37 0.00B 设置工作目录为/app/backend
WORKDIR /app/backend
# 2026-11-03 20:31:37 0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/app/backend/data/cache/embedding/models
# 2026-11-03 20:31:37 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
# 2026-11-03 20:31:37 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
# 2026-11-03 20:31:37 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
# 2026-11-03 20:31:37 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
# 2026-11-03 20:31:37 0.00B 设置环境变量 OLLAMA_BASE_URL OPENAI_API_BASE_URL
ENV OLLAMA_BASE_URL=/ollama OPENAI_API_BASE_URL=
# 2026-11-03 20:31:37 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
# 2026-11-03 20:31:37 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG GID=0
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG UID=0
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG USE_RERANKING_MODEL=
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG USE_PERMISSION_HARDENING=false
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG USE_SLIM=false
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG USE_CUDA_VER=cu128
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG USE_OLLAMA=false
# 2026-11-03 20:31:37 0.00B 定义构建参数
ARG USE_CUDA=false
# 2026-10-28 10:03:39 0.00B 设置默认要执行的命令
CMD ["python3"]
# 2026-10-28 10:03:39 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/$dst"; done # buildkit
# 2026-10-28 10:03:39 36.82MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(apt-mark showmanual)"; apt-get update; apt-get install -y --no-install-recommends dpkg-dev g++ 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"; 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 = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' | sort -u | xargs -rt dpkg-query --search | awk 'sub(":$", "", $1) { print $1 }' | sort -u | xargs -r apt-mark manual ; apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; apt-get dist-clean; export PYTHONDONTWRITEBYTECODE=1; python3 --version; pip3 --version # buildkit
# 2026-10-28 09:54:50 0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=b5796915dc45ff745cfb4e990a7e7c93d6f546328a102ce31448d69ebc37575c
# 2026-10-28 09:54:50 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.12.16
# 2026-10-28 09:54:50 0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305
# 2026-10-28 09:54:50 3.81MB 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 ; apt-get dist-clean # buildkit
# 2026-10-28 09:54:50 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2026-10-28 09:54:50 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
# 2026-10-27 08:00:00 78.86MB
# debian.sh --arch 'amd64' out/ 'trixie' '@1793059200'
镜像信息
{
"Id": "sha256:edccffc3b28193df2eeb3e6090d06ec58acb594289e0260536b7a59d26688da7",
"RepoTags": [
"ghcr.io/open-webui/open-webui:v0.13.0",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.13.0"
],
"RepoDigests": [
"ghcr.io/open-webui/open-webui@sha256:2272b0fb7c8783a016bcc179abb467cfa34590c99c5e6560fe0e9155b4820a09",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui@sha256:24cfec39b25c5c3163b122103880d8979ae3389992528c75fcbd7f333830a1c7"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-11-03T12:36:14.253512621Z",
"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=7169605F62C751356D054A26A821E680E5FA6305",
"PYTHON_VERSION=3.12.16",
"PYTHON_SHA256=b5796915dc45ff745cfb4e990a7e7c93d6f546328a102ce31448d69ebc37575c",
"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",
"UV_LINK_MODE=copy",
"WEBUI_BUILD_HASH=c38885a1a737da4968f157092f304f3b5481d0bf",
"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": "2026-11-03T12:31:29.427Z",
"org.opencontainers.image.description": "User-friendly AI Interface (Supports Ollama, OpenAI API, ...)",
"org.opencontainers.image.licenses": "NOASSERTION",
"org.opencontainers.image.revision": "c38885a1a737da4968f157092f304f3b5481d0bf",
"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": "0.13.0"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 4582334363,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/701bbebde6b0518d94a46fbd1ab485cc70c3e3d96df79c073e933534770de615/diff:/var/lib/docker/overlay2/183ee07f90eb8d108ac9804f5a005bc10a45a3603a8a2e9dae5e7acf415d32ea/diff:/var/lib/docker/overlay2/9b3c15bf8a9d98809f2f955e64ab06e72e60e0805c36e7616b3b83d827309a20/diff:/var/lib/docker/overlay2/2514258bc739f17ec42f86fae30e36cc199d2e996da1ce6474e08d3d6da1d921/diff:/var/lib/docker/overlay2/3ba77d043b8cca254110a6064983c04389f9269435e21f75e53778b9962859f0/diff:/var/lib/docker/overlay2/8b670059f3459485e46aed957ba802500f4d06fac5e37d1e9b6d1237a2440c16/diff:/var/lib/docker/overlay2/020bb674092716e82b2842374019db2c783fb01af9ab7ed60f67fa344f55b94b/diff:/var/lib/docker/overlay2/fc068c7a8a48b5919988d616fef0aa1e8b30b953741c302e42b98bab52341892/diff:/var/lib/docker/overlay2/ba6f08e8c61b3e7a85ba0211e81ba79e8fdec5e5af9200b229262625d9e34f66/diff:/var/lib/docker/overlay2/526b0066f9559a49335caa1c002e509e7530cb89204be4e51c228474ba260e46/diff:/var/lib/docker/overlay2/a5092716fe8b56d46f6535f9063a5fbbdd042ca27d67fe324b51966a9e71e6fb/diff:/var/lib/docker/overlay2/de4d531c74d3ee727d1127c55a6596722f6c49ce79efc37febe277a2ab25972c/diff:/var/lib/docker/overlay2/67ec4282ea073a64e396107f9abc5502962a72712de995c4a169a5f70ee5e237/diff:/var/lib/docker/overlay2/199e6d3444bdfc8c6872950a93434ee4451b919b010f1e02f45a37ac2fd2edb9/diff:/var/lib/docker/overlay2/f056165d83afbe90c9f40c3d5fd15ac9a789d475111bafdb17e69be9524f6d56/diff:/var/lib/docker/overlay2/4943e4e9649e4e2a4013ca687d1bbe8a09f3a42abad07f5af63d48836bf82086/diff:/var/lib/docker/overlay2/dd24ba247e8ff09cd57f086bab2b45af420f698c84109c83e092948558c97dc8/diff:/var/lib/docker/overlay2/f1c98fb0dc950f801e3178b84c4e45f82f0470d82cb7b6110f980bbaae3d2f20/diff",
"MergedDir": "/var/lib/docker/overlay2/9d152940ff4122dfdb242f97b5ad0d1a99e603e60b99314c4f85c4e9fa505ef9/merged",
"UpperDir": "/var/lib/docker/overlay2/9d152940ff4122dfdb242f97b5ad0d1a99e603e60b99314c4f85c4e9fa505ef9/diff",
"WorkDir": "/var/lib/docker/overlay2/9d152940ff4122dfdb242f97b5ad0d1a99e603e60b99314c4f85c4e9fa505ef9/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:a5d6d345f6afa08d7c31272055746d60a838b290bfcc82c0a23e8e984d61a933",
"sha256:fab99bd4639aec48a77ec4d2e3564c0907e0e1e962bbf773219a0b503a168955",
"sha256:bca572b9549074f7cbc5f2d9d29f589038ff21c5f68cef2965167a33f177a9c0",
"sha256:cae4cb2b5e819765b847e67faa443b377607452f2ec949d142cad15d9d7ea0b3",
"sha256:5b37ff7f2a9cb3b03c41f5bd41aab6dcc5871a2e14b6ba151e2755da7406ad2c",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:5319c78f826e4b8d28505da5a4826e23b5a25b69bd37f0a98623f7f160980176",
"sha256:1db7b00a563c50ffc253aedbe7d5f117202e8eb42997b23967e903dcd2553904",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:94fda00c5b491057b564e6589aac847d1eee5dc4a4a48bf6e787491e9b55e2a3",
"sha256:56d46cfb774a3e1f491e5a7e66abe7da148e46bb7df1edea15427e7e065bc393",
"sha256:0d5d516b1d37b972fb1d2fad01ff9dc39efe813332b7adee11bcd511baa0891a",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:f5e1835bb14a90895854c0e85caaffaf9488119a42f6e9acb2987351d81a2d64",
"sha256:dd509b755b27a77aaf09cb025b363ceb2503d47503c4c1c2e35d2e02cbdd8609",
"sha256:c09c632f06c1d7dd906918e714f60be74a227ac9be692c5cb816e22e5bbbd76d",
"sha256:714b349da130e6e3a9a485fc32cecb69c6d29bb178db78a5459e29872affc56a",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
]
},
"Metadata": {
"LastTagTime": "2026-11-07T12:43:33.328193338+08:00"
}
}