# Run environment for the AMA-Bench pilot with the TAM method (one interpreter runs the
# harness and the TAM worker). Install TAM itself first, from the TAM repo root:
#   pip install -e .
# then the harness packages the API path actually imports:
openai>=1.12
pyyaml>=6.0
tqdm>=4.65
numpy>=1.24
huggingface_hub>=0.22   # only for setup_harness.sh when the dataset is downloaded
