after rebasing onto main, get_engine_args() loads a vllm-style config via
PyYAML (a transitive vllm dep). vllm is stubbed in tests, so add pyyaml
explicitly and point VLLM_CONFIG_FILE at a nonexistent path so no stray
config is picked up.
the fde-174 cache resolver rewrites engine_args.model to an on-disk
snapshot path when the model is found only under a lowercased hf cache
dir. the openai served model name is derived from engine_args.model, so
it silently became the filesystem path and requests using the real repo
id returned 404.
set served_model_name to the original repo id whenever the model is
rewritten to a path, unless an explicit served name (or
OPENAI_SERVED_MODEL_NAME_OVERRIDE) is provided.
add the first python tests in the repo (tests/) covering the cache-path
resolution and served-name decoupling, plus a Tests github workflow that
runs pytest on prs and pushes to main. vllm/torch are stubbed when absent
so the suite runs on a plain cpu runner.
Tim Pietrusky