镜像构建历史
# 2026-05-11 02:18:48 0.00B 设置默认要执行的命令
CMD ["bash" "start.sh"]
# 2026-05-11 02:18:48 0.00B 设置环境变量 DOCKER
ENV DOCKER=true
# 2026-05-11 02:18:48 0.00B 设置环境变量 WEBUI_BUILD_VERSION
ENV WEBUI_BUILD_VERSION=3660bc00fd807deced3400a63bfa6db47811a3bb
# 2026-05-11 02:18:48 0.00B 定义构建参数
ARG BUILD_HASH=3660bc00fd807deced3400a63bfa6db47811a3bb
# 2026-05-11 02:18:48 0.00B 指定运行容器时使用的用户
USER 0:0
# 2026-05-11 02:18:48 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=true 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 [ "$USE_PERMISSION_HARDENING" = "true" ]; then set -eux; chgrp -R 0 /app /root || true; chmod -R g+rwX /app /root || true; find /app -type d -exec chmod g+s {} + || true; find /root -type d -exec chmod g+s {} + || true; fi # buildkit
# 2026-05-11 02:18:48 0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1"] "0s" "0s" "0s" "0s" '\x00'}
# 2026-05-11 02:18:48 0.00B 声明容器运行时监听的端口
EXPOSE [8080/tcp]
# 2026-05-11 02:18:48 72.14MB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend . # buildkit
# 2026-05-11 02:18:48 5.33KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/package.json /app/package.json # buildkit
# 2026-05-11 02:18:48 806.12KB 复制新文件或目录到容器中
COPY --chown=0:0 /app/CHANGELOG.md /app/CHANGELOG.md # buildkit
# 2026-05-11 02:18:48 258.20MB 复制新文件或目录到容器中
COPY --chown=0:0 /app/build /app/build # buildkit
# 2026-05-11 02:18:13 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=true 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 [ "$USE_OLLAMA" = "true" ]; then date +%s > /tmp/ollama_build_hash && echo "Cache broken at timestamp: `cat /tmp/ollama_build_hash`" && curl -fsSL https://ollama.com/install.sh | sh && rm -rf /var/lib/apt/lists/*; fi # buildkit
# 2026-05-11 02:18:12 9.52GB 执行命令并创建新的镜像层
RUN |10 USE_CUDA=true USE_OLLAMA=false USE_CUDA_VER=cu128 USE_SLIM=false USE_PERMISSION_HARDENING=false USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_RERANKING_MODEL= USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 UID=0 GID=0 /bin/sh -c set -e; pip3 install --no-cache-dir uv; if [ "$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
# 2026-05-11 02:15:51 0.00B 设置环境变量 UV_LINK_MODE
ENV UV_LINK_MODE=copy
# 2026-05-11 02:15:51 3.23KB 复制新文件或目录到容器中
COPY --chown=0:0 ./backend/requirements.txt ./requirements.txt # buildkit
# 2026-05-11 02:15:51 1.04GB 执行命令并创建新的镜像层
RUN |10 USE_CUDA=true 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
# 2026-05-11 02:15:09 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=true 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
# 2026-05-11 02:15:09 36.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=true 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
# 2026-05-11 02:15:09 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=true 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
# 2026-05-11 02:15:09 0.00B 执行命令并创建新的镜像层
RUN |10 USE_CUDA=true 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
# 2026-05-11 02:15:09 0.00B 设置环境变量 HOME
ENV HOME=/root
# 2026-05-11 02:15:09 0.00B 设置工作目录为/app/backend
WORKDIR /app/backend
# 2026-05-11 02:15:09 0.00B 设置环境变量 HF_HOME
ENV HF_HOME=/app/backend/data/cache/embedding/models
# 2026-05-11 02:15:09 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
# 2026-05-11 02:15:09 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
# 2026-05-11 02:15:09 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
# 2026-05-11 02:15:09 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
# 2026-05-11 02:15:09 0.00B 设置环境变量 OLLAMA_BASE_URL OPENAI_API_BASE_URL
ENV OLLAMA_BASE_URL=/ollama OPENAI_API_BASE_URL=
# 2026-05-11 02:15:09 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=true 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
# 2026-05-11 02:15:09 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG GID=0
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG UID=0
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG USE_RERANKING_MODEL=
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG USE_PERMISSION_HARDENING=false
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG USE_SLIM=false
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG USE_CUDA_VER=cu128
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG USE_OLLAMA=false
# 2026-05-11 02:15:09 0.00B 定义构建参数
ARG USE_CUDA=true
# 2026-05-09 04:10:49 0.00B 设置默认要执行的命令
CMD ["python3"]
# 2026-05-09 04:10:49 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/$dst"; done # buildkit
# 2026-05-09 04:10:49 45.50MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(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
# 2026-05-09 04:02:05 0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=272179ddd9a2e41a0fc8e42e33dfbdca0b3711aa5abf372d3f2d51543d09b625
# 2026-05-09 04:02:05 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.15
# 2026-05-09 04:02:05 0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
# 2026-05-09 04:02:05 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
# 2026-05-09 04:02:05 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2026-05-09 04:02:05 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
# 2026-05-05 08:00:00 74.83MB
# debian.sh --arch 'amd64' out/ 'bookworm' '@1777939200'
镜像信息
{
"Id": "sha256:05688957790c4ec8e59e0598e6960991b4e1cf3bc52a04c3a1f9fd10e996d8ac",
"RepoTags": [
"openwebui/open-webui:0.9.5-cuda",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openwebui/open-webui:0.9.5-cuda"
],
"RepoDigests": [
"openwebui/open-webui@sha256:653ce2cb7cd590d36c442652750945b96529a8575dd8e54855cecad70227cbf9",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/openwebui/open-webui@sha256:491aea413bc1fdc1fbaedb3bcea343977c0c1ddbade1ca5b5071b8725defb224"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-05-10T18:18:48.425988536Z",
"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=3.11.15",
"PYTHON_SHA256=272179ddd9a2e41a0fc8e42e33dfbdca0b3711aa5abf372d3f2d51543d09b625",
"PYTHONUNBUFFERED=1",
"ENV=prod",
"PORT=8080",
"USE_OLLAMA_DOCKER=false",
"USE_CUDA_DOCKER=true",
"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_VERSION=3660bc00fd807deced3400a63bfa6db47811a3bb",
"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": "2026-05-10T18:15:01.773Z",
"org.opencontainers.image.description": "User-friendly AI Interface (Supports Ollama, OpenAI API, ...)",
"org.opencontainers.image.licenses": "NOASSERTION",
"org.opencontainers.image.revision": "3660bc00fd807deced3400a63bfa6db47811a3bb",
"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": "0.9.5-cuda"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 11017257702,
"GraphDriver": {
"Data": {
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