requirements.txt

# Core Framework
fastapi>=0.115
uvicorn[standard]>=0.32
pydantic>=2.9
pydantic-settings>=2.6

# Database
sqlalchemy[asyncio]>=2.0
asyncpg>=0.29
alembic>=1.13
pgvector>=0.3

# Auth
bcrypt>=4.1
pyjwt>=2.8

# LLM & Agents — Google Gemini API (AI Studio free tier); PHI leaves the
# machine, see README's privacy notice.
google-genai>=1.0
fastmcp>=2.0
langgraph>=0.2

# RAG (optional heavy extras; core retrieval works without them)
# llama-index>=0.11
# llama-index-embeddings-huggingface>=0.3

# Medical AI (optional — install when enabling real inference)
# monai>=1.3
# medcat>=1.10
# torch>=2.1

# Medical Imaging (lightweight metadata support)
pydicom>=2.4
nibabel>=5.1
pillow>=10.0

# Documents & reports
pypdf>=5.0               # PDF text extraction (clinical note upload)
reportlab>=4.2           # Consultation PDF export
python-multipart>=0.0.9  # FastAPI multipart parsing (file uploads)

# Utilities
python-dotenv>=1.0
httpx>=0.27
requests>=2.31

# Development
pytest>=8.0
pytest-asyncio>=0.24
pytest-cov>=5.0
aiosqlite>=0.20
ruff>=0.5
mypy>=1.10
bandit[toml]>=1.7
pip-audit>=2.7