mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-23 17:58:35 +08:00
116 lines
4.2 KiB
Docker
116 lines
4.2 KiB
Docker
# syntax=docker/dockerfile:1
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# Keep this syntax directive! It's used to enable Docker BuildKit
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#
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# Backend-only Langflow image
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# - No frontend code or assets
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# - No Playwright
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################################
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# BUILDER
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################################
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FROM ghcr.io/astral-sh/uv:python3.14-trixie-slim AS builder
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WORKDIR /app
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# Required for apify-client
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ENV RUSTFLAGS='--cfg reqwest_unstable'
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# Install build dependencies
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RUN apt-get update \
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&& apt-get upgrade -y \
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&& apt-get install --no-install-recommends -y \
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build-essential \
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gcc \
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git \
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curl \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Copy only backend source (excludes frontend)
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COPY ./src/backend ./src/backend
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COPY ./src/lfx ./src/lfx
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COPY ./src/sdk ./src/sdk
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# Create venv and install langflow-base with dependencies
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# Using uv pip instead of uv sync to avoid workspace complexities
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RUN uv venv /app/.venv
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ENV PATH="/app/.venv/bin:$PATH"
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ENV VIRTUAL_ENV="/app/.venv"
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# Install langflow-base with all extras except dev (which includes Playwright).
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# This image ships the langflow-base core only. Extension bundles
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# (lfx-duckduckgo, lfx-arxiv, lfx-ibm, lfx-docling) are intentionally NOT
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# installed here -- they belong to the full ``langflow`` distribution, not
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# the lean core. Use the ``langflow`` image, or ``pip install`` the bundle
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# alongside this image, to add those components.
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv pip install \
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./src/sdk \
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./src/lfx \
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"./src/backend/base[complete,postgresql]"
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################################
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# RUNTIME
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################################
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FROM python:3.14-slim-trixie AS runtime
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# Install minimal runtime dependencies
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RUN apt-get update \
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&& apt-get upgrade -y \
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&& apt-get install --no-install-recommends -y \
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curl \
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git \
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libpq5 \
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gnupg \
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xz-utils \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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COPY --from=builder /usr/local/bin/uv /usr/local/bin/uv
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COPY --from=builder /usr/local/bin/uvx /usr/local/bin/uvx
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# Install Node.js (required for npx-based MCP stdio servers)
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RUN ARCH=$(dpkg --print-architecture) \
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&& if [ "$ARCH" = "amd64" ]; then NODE_ARCH="x64"; \
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elif [ "$ARCH" = "arm64" ]; then NODE_ARCH="arm64"; \
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else NODE_ARCH="$ARCH"; fi \
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&& NODE_VERSION=$(curl -fsSL https://nodejs.org/dist/latest-v22.x/ \
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| sed -nE "s/.*node-v([0-9]+\.[0-9]+\.[0-9]+)-linux-${NODE_ARCH}\.tar\.xz.*/\1/p" \
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| head -1) \
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&& if [ -z "$NODE_VERSION" ]; then echo "ERROR: Could not determine Node.js version" && exit 1; fi \
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&& curl -fsSL "https://nodejs.org/dist/v${NODE_VERSION}/node-v${NODE_VERSION}-linux-${NODE_ARCH}.tar.xz" \
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| tar -xJ -C /usr/local --strip-components=1
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# Create non-root user
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RUN useradd --uid 1000 --gid 0 --no-create-home --home-dir /app/data user
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# Copy only the virtual environment
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COPY --from=builder --chown=1000:0 /app/.venv /app/.venv
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ENV PATH="/app/.venv/bin:$PATH"
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# Create home directory and ensure proper ownership
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# The user needs write access to /app/data (home) and /app (workdir).
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# Also pre-create /app/langflow (LANGFLOW_CONFIG_DIR used by the docker_example
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# compose file) with the non-root user as owner, so a fresh named volume mounted
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# at /app/langflow inherits the correct ownership/permissions and the in-container
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# uid=1000 user can write secret_key, profile_pictures, etc. Without this, the
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# volume would be initialized as root:root and Langflow would crash with
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# PermissionError on /app/langflow/secret_key (issue #10437).
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# Note: .venv is already owned by 1000:0 via COPY --chown above, so no recursive chown needed
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RUN mkdir -p /app/data /app/langflow \
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&& chown -R 1000:0 /app/data /app/langflow \
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&& chmod -R g+rwX /app/langflow \
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&& chown 1000:0 /app
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LABEL org.opencontainers.image.title=langflow-backend
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LABEL org.opencontainers.image.authors=['Langflow']
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LABEL org.opencontainers.image.licenses=MIT
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LABEL org.opencontainers.image.url=https://github.com/langflow-ai/langflow
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LABEL org.opencontainers.image.source=https://github.com/langflow-ai/langflow
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USER user
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WORKDIR /app
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ENV LANGFLOW_HOST=0.0.0.0
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ENV LANGFLOW_PORT=7860
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CMD ["python", "-m", "langflow", "run", "--backend-only"]
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