vllm-tgis-adapter

vLLM adapter for a TGIS-compatible grpc server.

Install

vllm-tgis-adapter is available on PyPi

pip install vllm-tgis-adapter
python -m vllm_tgis_adapter

HealthCheck CLI

Installing the adapter also install a grpc healthcheck cli that can be used to monitor the status of the grpc server:

$ grpc_healtheck
health check...status: SERVING

See usage with

grpc_healthcheck --help

Build

python -m build
pip install dist/*whl
python -m vllm_tgis_adapter

Inference

This will start serving a grpc server on port 8033. This can be queried with grpcurl:

bash examples/inference.sh

Docker

Image available at quay.io/opendatahub/vllm, built from opendatahub-io/vllm's Dockerfile.ubi

docker pull quay.io/opendatahub/vllm

Inference

See examples

Contributing

Set up pre-commit for linting/style/misc fixes:

pip install pre-commit
pre-commit install
# to run on all files
pre-commit run --all-files

This project uses nox to manage test automation and uv for venv management:

pip install nox uv
nox --list  # list available sessions
nox -s tests-3.10 # run tests session for a specific python version
nox -s build-3.11 # build the wheel package
nox -s lint-3.11 -- --mypy # run linting with type checks

Testing without a GPU

The standard vllm built requires an Nvidia GPU. When this is not available, it is possible to compile vllm from source with CPU support:

env \
    VLLM_CPU_DISABLE_AVX512=true VLLM_TARGET_DEVICE=cpu \
    UV_EXTRA_INDEX_URL=https://download.pytorch.org/whl/cpu \
    UV_INDEX_STRATEGY=unsafe-best-match\
    uv pip install git+https://github.com/vllm-project/vllm

making it possible to run the tests on most hardware. Please note that the uv extra index url is required in order to install the torch CPU version.