08b9e20457e1eff8b1978bc23c398035a793691d04dca264ed7930a175e75618  README.md
f7ae4532294623c0631fc01acc709eadb6862bc426bb013e3d9ce83032b10468  expected-output.json
ff63fd236d493f584b23e71db07481d0495b87c1ef7882b24d4a0754aa0c4c7b  make_sample.py
982c95c4137aef1c6da882dd1769df49252df654c33943997e70225af0896f49  model.py
270e376043a2ebe56355780387364cb272a28e22a34061a0c060612ee4516cbd  playbook.md
b69ce1bb19da697ed2deeda19b2b1f5b0913d22234fe887fb98e5c60e732dcc4  replay/tool-calls.json
d7fe7ae8a10c89a396e010746c8d40dd3111d63686aa48f3c20324eb7a0623db  requirements.in
b7b16200f41f5c940f1dbd5d8259c755b07d77294b557e6d408ce6172de22bce  requirements.txt
f27b6ff273b58f17b70e9160ba7b51963fbc3321ca4d161c586d78a7ccf5ddd1  run.py
74e4b1dc374c1f3698857987ee1bb3dca70be22204a644403241ad613dd3ee1a  supplier-agreement.docx
2d79fa458440769d25b63d8b5c79093ae29e9edcfee4b7d19c58ee6d89f0e21b  tools.py
