镜像构建历史
# 2025-12-22 05:12:50 0.00B 设置默认要执行的命令
CMD ["bash" "start.sh"]
# 2025-12-22 05:12:50 0.00B 设置环境变量 DOCKER
ENV DOCKER=true
# 2025-12-22 05:12:50 0.00B 设置环境变量 WEBUI_BUILD_VERSION
ENV WEBUI_BUILD_VERSION=d95f533214e3fe5beb5e41ec1f349940bc4c7043
# 2025-12-22 05:12:50 0.00B 定义构建参数
ARG BUILD_HASH=d95f533214e3fe5beb5e41ec1f349940bc4c7043
# 2025-12-22 05:12:50 0.00B 指定运行容器时使用的用户
USER 0:0
# 2025-12-22 05:12:50 0.00B 执行命令并创建新的镜像层
RUN |9 USE_CUDA=false USE_OLLAMA=true USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= UID=0 GID=0 /bin/sh -c if [ "$USE_PERMISSION_HARDENING" = "true" ]; then set -eux; chgrp -R 0 /app /root || true; chmod -R g+rwX /app /root || true; find /app -type d -exec chmod g+s {} + || true; find /root -type d -exec chmod g+s {} + || true; fi # buildkit
# 2025-12-22 05:12:50 0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1"] "0s" "0s" "0s" "0s" '\x00'}
# 2025-12-22 05:12:50 0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
# 2025-12-22 05:12:50 71.07MB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend . # buildkit
# 2025-12-22 05:12:50 5.06KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/package.json /app/package.json # buildkit
# 2025-12-22 05:12:50 463.81KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/CHANGELOG.md /app/CHANGELOG.md # buildkit
# 2025-12-22 05:12:50 188.19MB 复制新文件或目录到容器中
COPY --chown=0:0 /app/build /app/build # buildkit
# 2025-12-22 05:12:08 3.61GB 执行命令并创建新的镜像层
RUN |9 USE_CUDA=false USE_OLLAMA=true USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= UID=0 GID=0 /bin/sh -c if [ "$USE_OLLAMA" = "true" ]; then date +%s > /tmp/ollama_build_hash && echo "Cache broken at timestamp: `cat /tmp/ollama_build_hash`" && curl -fsSL https://ollama.com/install.sh | sh && rm -rf /var/lib/apt/lists/*; fi # buildkit
# 2025-12-22 05:11:34 2.96GB 执行命令并创建新的镜像层
RUN |9 USE_CUDA=false USE_OLLAMA=true USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= UID=0 GID=0 /bin/sh -c pip3 install --no-cache-dir uv && if [ "$USE_CUDA" = "true" ]; then pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && uv pip install --system -r requirements.txt --no-cache-dir && python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; else pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && uv pip install --system -r requirements.txt --no-cache-dir && if [ "$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 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/ && rm -rf /var/lib/apt/lists/*; # buildkit
# 2025-12-22 05:10:29 2.89KB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend/requirements.txt ./requirements.txt # buildkit
# 2025-12-22 05:10:29 1.02GB 执行命令并创建新的镜像层
RUN |9 USE_CUDA=false USE_OLLAMA=true USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= 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 && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-12-22 05:09:47 0.00B 执行命令并创建新的镜像层
RUN |9 USE_CUDA=false USE_OLLAMA=true USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false 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
# 2025-12-22 05:09:47 36.00B 执行命令并创建新的镜像层
RUN |9 USE_CUDA=false USE_OLLAMA=true USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false 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
# 2025-12-22 05:09:47 0.00B 执行命令并创建新的镜像层
RUN |9 USE_CUDA=false USE_OLLAMA=true USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false 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
# 2025-12-22 05:09:47 0.00B 执行命令并创建新的镜像层
RUN |9 USE_CUDA=false USE_OLLAMA=true USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false 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
# 2025-12-22 05:09:47 0.00B 设置环境变量 HOME
ENV HOME=/root
# 2025-12-22 05:09:47 0.00B 设置工作目录为/app/backend
WORKDIR /app/backend
# 2025-12-22 05:09:47 0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/app/backend/data/cache/embedding/models
# 2025-12-22 05:09:47 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
# 2025-12-22 05:09:47 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
# 2025-12-22 05:09:47 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
# 2025-12-22 05:09:47 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
# 2025-12-22 05:09:47 0.00B 设置环境变量 OLLAMA_BASE_URL OPENAI_API_BASE_URL
ENV OLLAMA_BASE_URL=/ollama OPENAI_API_BASE_URL=
# 2025-12-22 05:09:47 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
ENV ENV=prod PORT=8080 USE_OLLAMA_DOCKER=true 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=
# 2025-12-22 05:09:47 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
# 2025-12-22 05:09:47 0.00B 定义构建参数
ARG GID=0
# 2025-12-22 05:09:47 0.00B 定义构建参数
ARG UID=0
# 2025-12-22 05:09:47 0.00B 定义构建参数
ARG USE_RERANKING_MODEL=
# 2025-12-22 05:09:47 0.00B 定义构建参数
ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
# 2025-12-22 05:09:47 0.00B 定义构建参数
ARG USE_PERMISSION_HARDENING=false
# 2025-12-22 05:09:47 0.00B 定义构建参数
ARG USE_SLIM=false
# 2025-12-22 05:09:47 0.00B 定义构建参数
ARG USE_CUDA_VER=cu128
# 2025-12-22 05:09:47 0.00B 定义构建参数
ARG USE_OLLAMA=true
# 2025-12-22 05:09:47 0.00B 定义构建参数
ARG USE_CUDA=false
# 2025-12-09 07:44:01 0.00B 设置默认要执行的命令
CMD ["python3"]
# 2025-12-09 07:44:01 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/$dst"; done # buildkit
# 2025-12-09 07:44:01 45.50MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(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
# 2025-12-09 07:34:29 0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78
# 2025-12-09 07:34:29 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.14
# 2025-12-09 07:34:29 0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
# 2025-12-09 07:34:29 9.25MB 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
# 2025-12-09 07:34:29 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2025-12-09 07:34:29 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
# 2025-12-08 08:00:00 74.81MB
# debian.sh --arch 'amd64' out/ 'bookworm' '@1765152000'
镜像信息
{
"Id": "sha256:21bccd66e883156e0452ac89d36dfcf37b7b84f085842b41de3e271a4f0dad06",
"RepoTags": [
"ghcr.io/open-webui/open-webui:v0.6.42-ollama",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui:v0.6.42-ollama"
],
"RepoDigests": [
"ghcr.io/open-webui/open-webui@sha256:63b8ebacf460278c3a8e2fee85843e5f68a51c94966d9f421770408900f2c46b",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/open-webui/open-webui@sha256:938a9c7f094bccb6f37eb31750b5c3d6ac72fef5d96f58f1cd5dea4abcab346f"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-12-21T21:12:50.468266871Z",
"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=true",
"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=",
"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=d95f533214e3fe5beb5e41ec1f349940bc4c7043",
"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": "2025-12-21T21:09:39.675Z",
"org.opencontainers.image.description": "User-friendly AI Interface (Supports Ollama, OpenAI API, ...)",
"org.opencontainers.image.licenses": "NOASSERTION",
"org.opencontainers.image.revision": "d95f533214e3fe5beb5e41ec1f349940bc4c7043",
"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": "0.6.42-ollama"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 7974414214,
"GraphDriver": {
"Data": {
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"MergedDir": "/var/lib/docker/overlay2/bd3223918e99fb932f18679329752ed3dc94ec78267da86bc0ac175c806a5c67/merged",
"UpperDir": "/var/lib/docker/overlay2/bd3223918e99fb932f18679329752ed3dc94ec78267da86bc0ac175c806a5c67/diff",
"WorkDir": "/var/lib/docker/overlay2/bd3223918e99fb932f18679329752ed3dc94ec78267da86bc0ac175c806a5c67/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:abe743884ea0f81e9c440e82f83e69d90f4a9c127436d36b77b0aae5eb96ce25",
"sha256:91833cdc5e6309f69b4d496087a8da6c0596cbfdf9473bd94eaf538fc67e77ee",
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