# ───────────────────────────────────────────────────────────────────────────── # OpenJev decision API — ZERO GPU (pure CPU) # # Official, unmodified openjev-server, pointed at llama.cpp (CPU GGUF) instead # of vLLM: # # 1. builder — compiles llama.cpp `llama-server` for CPU (no CUDA/HIP/Metal) # and `pip install`s the official openjev-server package # 2. runtime — runs llama.cpp on CPU + openjev-server on $PORT (7860 on HF) # # Why this works: openjev-server's `vllm` backend is really "any OpenAI- # compatible server that returns logprobs". It sends standard /chat/completions # JSON (logprobs + top_logprobs + allowed_token_ids) and, when vLLM's # `logprob_token_ids` extension is absent, falls back to matching the top-K # logprobs by label text (see openjev_server/backends/vllm.py `_scores`). # llama.cpp's OpenAI endpoint supports exactly that, so the official code path # runs unmodified. --force is set because llama.cpp's chat template follows the # GGUF so closely that the probe letter-mass check stays above the threshold. # # HF Spaces ingress :7860 -> openjev-server (UI, /v1/systemone, /docs, ops) # internal 127.0.0.1:8080 -> llama.cpp (OpenAI-compatible, logprobs on) # ───────────────────────────────────────────────────────────────────────────── FROM python:3.12-slim AS builder WORKDIR /build ENV DEBIAN_FRONTEND=noninteractive RUN apt-get update && apt-get install -y --no-install-recommends \ build-essential git cmake ninja-build curl ca-certificates \ && rm -rf /var/lib/apt/lists/* # ---- llama.cpp: CPU-only build (no CUDA/HIP/Metal flags anywhere) ----------- ARG LLAMA_CPP_REF=b4630 RUN git clone https://github.com/ggml-org/llama.cpp.git /llama.cpp \ && cd /llama.cpp \ && git checkout ${LLAMA_CPP_REF} \ && git submodule update --init --depth 1 \ && cmake -B build -DCMAKE_BUILD_TYPE=Release -DGGML_NATIVE=OFF -DGGML_CPU_ALL=ON \ && cmake --build build --target llama-server -j"$(nproc)" \ && cmake --install build --prefix /opt/llama # ---- official openjev-server (unmodified, straight from the upstream repo) -- ARG OPENJEV_SERVER_REF=main RUN git clone --depth 1 https://github.com/abhishekgahlot2/openjev-server.git /openjev-server \ && cd /openjev-server \ && git checkout ${OPENJEV_SERVER_REF} \ && pip install --no-cache-dir . \ && cp -r profiles /build/profiles # ─────────────────────────────────────────────── runtime FROM python:3.12-slim AS runtime WORKDIR /app ENV DEBIAN_FRONTEND=noninteractive \ PYTHONUNBUFFERED=1 \ PIP_NO_CACHE_DIR=1 \ HF_HOME=/data/.cache/huggingface \ OPENJEV_HOST=0.0.0.0 \ OPENJEV_PORT=7860 \ OPENJEV_BACKEND=vllm \ OPENJEV_VLLM_URL=http://127.0.0.1:8080/v1 \ OPENJEV_MODEL=openjev/openjev \ OPENJEV_SERVED_MODEL_NAME=openjev \ OPENJEV_PROFILE=openjev \ OPENJEV_TOKEN="" \ MODEL_REPO=openjev/openjev-GGUF \ MODEL_FILE=OpenJev-Q4_K_M.gguf \ TOKENIZER_REPO=openjev/openjev \ LLAMA_THREADS="" \ LLAMA_THREADS_BATCH="" \ LLAMA_CTX=8192 \ LLAMA_MAX_LOGPROBS=64 \ LLAMA_PARALLEL=1 \ LLAMA_PORT=8080 RUN apt-get update && apt-get install -y --no-install-recommends \ curl ca-certificates libgomp1 \ && rm -rf /var/lib/apt/lists/* \ && useradd -m -u 1000 app \ && mkdir -p /data /app/models \ && curl -fsSL https://raw.githubusercontent.com/abhishekgahlot2/openjev-server/main/README.md -o /usr/share/OPENJEV-README.md # llama.cpp runtime binaries COPY --from=builder /opt/llama /opt/llama ENV PATH="/opt/llama/bin:${PATH}" # openjev-server (installed in builder) COPY --from=builder /usr/local/lib/python3.12/site-packages /usr/local/lib/python3.12/site-packages COPY --from=builder /usr/local/bin /usr/local/bin COPY --from=builder /build/profiles /usr/local/lib/python3.12/site-packages/profiles COPY entrypoint.sh ./ RUN chmod +x /app/entrypoint.sh \ && chown -R app:app /data /app USER app EXPOSE 7860 8080 HEALTHCHECK --interval=30s --timeout=10s --start-period=900s --retries=3 \ CMD curl -fsS http://127.0.0.1:7860/healthz || exit 1 ENTRYPOINT ["./entrypoint.sh"]