requirements.txt

# Core server dependencies
fastapi>=0.110.0
uvicorn[standard]>=0.29.0
pydantic>=2.0.0

# HTTP client (used by inference.py and test_env.py)
requests>=2.31.0
openai>=1.0.0

# ── Fine-tuned LLM dependencies ──────────────────────────────────────────
torch>=2.1.0
transformers>=4.40.0
accelerate>=0.27.0
bitsandbytes>=0.43.0
huggingface_hub

# ── Optional: only needed for Q-learning training ─────────────────────────
# (training is done offline; the saved qtable.json is loaded at runtime)
# No extra deps required — qlearning.py uses stdlib only.