# Backend dependencies for the HuggingFace API Space and local development.
# sentence-transformers is NOT included here — in prod, embedder/reranker
# are separate HF Spaces. For local in-process models, install it manually
# or create a requirements.local.txt with sentence-transformers added.
# mlflow/dagshub are intentionally excluded: they add ~300MB to the Docker
# image and are imported lazily only when DAGSHUB_TOKEN is set. Install them
# in requirements.local.txt for local experiment tracking.

fastapi>=0.115.0
uvicorn[standard]>=0.29.0
uvloop>=0.19.0
python-multipart>=0.0.9
pydantic-settings>=2.2.1
langgraph>=0.2.0
qdrant-client==1.9.1
groq>=0.5.0
httpx>=0.27.0
numpy>=1.26.0
slowapi>=0.1.9
# presidio-analyzer was removed (Issue 4): spaCy-based NLP added 50-100ms to every
# request for near-zero real-world PII risk. Replaced with six compiled regex
# patterns in sanitizer.py that run in microseconds. See copilot-instructions.md.
tenacity>=8.3.0
python-jose[cryptography]>=3.3.0
google-genai>=1.0.0
# fastembed: powers BM25 sparse retrieval (Stage 2). Qdrant/bm25 vocabulary
# downloads ~5 MB on first use then runs fully local — no GPU, no network at query time.
fastembed>=0.3.6
toon_format @ git+https://github.com/toon-format/toon-python.git