open-webui (v0.8.6-banner-opensearch2)

Published 2026-03-22 16:27:10 -04:00 by sro in sro/open-webui

Pull the image from the command line:

docker pull git.ehio.us/sro/open-webui:v0.8.6-banner-opensearch2

Digest

sha256:2b7ae9169584b6ced496a9fcf9fae6fb21563e5460dab8b4e0846e5adcdd1d10

For more information on the Container registry, see the documentation.

# debian.sh --arch 'amd64' out/ 'bookworm' '@1771804800'

ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

ENV LANG=C.UTF-8

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

ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D

ENV PYTHON_VERSION=3.11.14

ENV PYTHON_SHA256=8d3ed8ec5c88c1c95f5e558612a725450d2452813ddad5e58fdb1a53b1209b78

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

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

CMD ["python3"]

ARG USE_CUDA

ARG USE_CUDA USE_OLLAMA

ARG USE_CUDA USE_CUDA_VER USE_OLLAMA

ARG USE_CUDA USE_CUDA_VER USE_OLLAMA USE_SLIM

ARG USE_CUDA USE_CUDA_VER USE_OLLAMA USE_PERMISSION_HARDENING USE_SLIM

ARG USE_CUDA USE_CUDA_VER USE_EMBEDDING_MODEL USE_OLLAMA USE_PERMISSION_HARDENING USE_SLIM

ARG USE_CUDA USE_CUDA_VER USE_EMBEDDING_MODEL USE_OLLAMA USE_PERMISSION_HARDENING USE_RERANKING_MODEL USE_SLIM

ARG USE_AUXILIARY_EMBEDDING_MODEL USE_CUDA USE_CUDA_VER USE_EMBEDDING_MODEL USE_OLLAMA USE_PERMISSION_HARDENING USE_RERANKING_MODEL USE_SLIM

ARG UID USE_AUXILIARY_EMBEDDING_MODEL USE_CUDA USE_CUDA_VER USE_EMBEDDING_MODEL USE_OLLAMA USE_PERMISSION_HARDENING USE_RERANKING_MODEL USE_SLIM

ARG GID UID USE_AUXILIARY_EMBEDDING_MODEL USE_CUDA USE_CUDA_VER USE_EMBEDDING_MODEL USE_OLLAMA USE_PERMISSION_HARDENING USE_RERANKING_MODEL USE_SLIM

ENV PYTHONUNBUFFERED=1

ENV ENV=prod PORT=8080 USE_OLLAMA_DOCKER=${USE_OLLAMA} USE_CUDA_DOCKER=${USE_CUDA} USE_SLIM_DOCKER=${USE_SLIM} USE_CUDA_DOCKER_VER=${USE_CUDA_VER} USE_EMBEDDING_MODEL_DOCKER=${USE_EMBEDDING_MODEL} USE_RERANKING_MODEL_DOCKER=${USE_RERANKING_MODEL} USE_AUXILIARY_EMBEDDING_MODEL_DOCKER=${USE_AUXILIARY_EMBEDDING_MODEL}

ENV OLLAMA_BASE_URL="/ollama" OPENAI_API_BASE_URL=""

ENV OPENAI_API_KEY="" WEBUI_SECRET_KEY="" SCARF_NO_ANALYTICS=true DO_NOT_TRACK=true ANONYMIZED_TELEMETRY=false

ENV WHISPER_MODEL="base" WHISPER_MODEL_DIR="/app/backend/data/cache/whisper/models"

ENV RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER" RAG_RERANKING_MODEL="$USE_RERANKING_MODEL_DOCKER" AUXILIARY_EMBEDDING_MODEL="$USE_AUXILIARY_EMBEDDING_MODEL_DOCKER" SENTENCE_TRANSFORMERS_HOME="/app/backend/data/cache/embedding/models"

ENV TIKTOKEN_ENCODING_NAME="cl100k_base" TIKTOKEN_CACHE_DIR="/app/backend/data/cache/tiktoken"

ENV HF_HOME="/app/backend/data/cache/embedding/models"

WORKDIR /app/backend

ENV HOME=/root

COPY file:079ca8d7f9688b729aa0a3a4c42ebf8dcdf8d9d5dafa4a3d6cb103e632f3ff8f in ./requirements.txt

|10 GID=0 UID=0 USE_AUXILIARY_EMBEDDING_MODEL=TaylorAI/bge-micro-v2 USE_CUDA=false USE_CUDA_VER=cu128 USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2 USE_OLLAMA=false USE_PERMISSION_HARDENING=false USE_RERANKING_MODEL= USE_SLIM=false /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/*;

COPY dir:a6e68c0353ea40219fb8e9df0e4a5f075fa98a766c83cb3a105255c85dd18591 in /app/build

COPY file:ab535001ddff28d20965106974a15bcbead567adc0ed5d647250d732725f4672 in /app/CHANGELOG.md

COPY file:46c72fb406b95d6dc5741f13241ac561979f2474316780f23d97ee9cc4563706 in /app/package.json

COPY dir:41043247faa513b9a2792fcd9306c42f150c407a378a8d6780271f87cb61583b in .

EXPOSE 8080

HEALTHCHECK CMD curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1

USER $UID:$GID

ARG BUILD_HASH GID UID USE_AUXILIARY_EMBEDDING_MODEL USE_CUDA USE_CUDA_VER USE_EMBEDDING_MODEL USE_OLLAMA USE_PERMISSION_HARDENING USE_RERANKING_MODEL USE_SLIM

ENV WEBUI_BUILD_VERSION=${BUILD_HASH}

ENV DOCKER=true

CMD [ "bash", "start.sh"]