vllm-omni/docker/Dockerfile.ci

ARG VLLM_BASE_IMAGE=vllm/vllm-openai
ARG VLLM_BASE_TAG=v0.16.0
FROM ${VLLM_BASE_IMAGE}:${VLLM_BASE_TAG}
ARG APP_DIR=/workspace/vllm-omni
WORKDIR ${APP_DIR}

COPY . .

# Install system dependencies
RUN apt-get update && \
    apt-get install -y ffmpeg git sox libsox-fmt-all jq && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

# Install vLLM wheel for the specific commit
# URL format: https://wheels.vllm.ai/<commit_hash>/
# Current vLLM wheel commit: 6042e66cd5304fc043d96aaa0c22d56f939af320
# Note: --prerelease=allow is required because nightly/commit wheels use
# pre-release version numbers (e.g. 2.10.0.dev...) which uv ignores by default,
# causing it to fall back to the older stable release from PyPI.
RUN uv pip install --system --upgrade --force-reinstall --prerelease=allow vllm --extra-index-url https://wheels.vllm.ai/6042e66cd5304fc043d96aaa0c22d56f939af320

RUN uv pip uninstall --system nvidia-cublas-cu12
# Install vllm-omni into the same uv-managed Python environment used by the base image.
# Use bash -c so that $(python3 -c ...) is expanded inside the container.
RUN uv pip install --system --no-cache-dir ".[dev]"

RUN ln -sf /usr/bin/python3 /usr/bin/python

ENTRYPOINT []