ARG UV_IMAGE=ghcr.io/astral-sh/uv:0.10.9@sha256:10902f58a1606787602f303954cea099626a4adb02acbac4c69920fe9d278f82
FROM $UV_IMAGE AS uvbin

FROM python:3.13-slim@sha256:739e7213785e88c0f702dcdc12c0973afcbd606dbf021a589cab77d6b00b579d

ARG LITELLM_VERSION=1.83.0

WORKDIR /app

COPY --from=uvbin /uv /usr/local/bin/uv
COPY --from=uvbin /uvx /usr/local/bin/uvx

RUN apt-get update && \
    apt-get install -y --no-install-recommends gcc libffi-dev nodejs npm && \
    rm -rf /var/lib/apt/lists/*

ENV UV_PROJECT_ENVIRONMENT=/app/.venv \
    UV_LINK_MODE=copy \
    PATH="/app/.venv/bin:${PATH}"

COPY schema.prisma .

# This image is specifically for validating/installing the published PyPI
# artifact, not the checked-out source tree.
# Keep the moved proxy-runtime packages explicit until the published PyPI
# artifact includes that extra; newer releases will simply dedupe these.
RUN uv venv --python python && \
    uv pip install --python /app/.venv/bin/python \
      "litellm[proxy,proxy-runtime]==${LITELLM_VERSION}" \
      "google-cloud-aiplatform==1.133.0" \
      "google-genai==1.37.0" \
      "anthropic[vertex]==0.84.0" \
      "grpcio==1.78.0" \
      "prometheus-client==0.20.0" \
      "langfuse==2.59.7" \
      "opentelemetry-api==1.28.0" \
      "opentelemetry-sdk==1.28.0" \
      "opentelemetry-exporter-otlp==1.28.0" \
      "ddtrace==2.19.0" \
      "sentry-sdk==2.21.0" \
      "mangum==0.17.0" \
      "azure-ai-contentsafety==1.0.0" \
      "azure-storage-file-datalake==12.20.0" \
      "pypdf==6.7.5" \
      "llm-sandbox==0.3.31" \
      "detect-secrets==1.5.0" \
      "prisma==0.11.0" \
      "openai==2.24.0"

RUN prisma generate --schema=./schema.prisma

EXPOSE 4000/tcp

ENTRYPOINT ["litellm"]
CMD ["--port", "4000"]