fia-service/requirements.txt

Rama main · réplica de lectura del repositorio original.

# Kafka
kafka-python==2.0.2

# Database
sqlalchemy==2.0.25
psycopg2-binary==2.9.9

# Configuration
python-dotenv==1.0.1

# LLM stack (Phi-3-mini-4k-instruct via HuggingFace transformers)
# Pinned to versions known to load Phi-3 cleanly. CPU inference works
# (slow); GPU is enabled automatically when torch detects CUDA, MPS on
# Apple Silicon. torch 2.2.2 was built against NumPy 1.x — keep numpy<2
# or torch will fail to import with "NumPy 2.x cannot be run".
numpy<2
torch==2.2.2
transformers==4.41.2
accelerate==0.30.1
sentencepiece==0.2.0

# Tokenization fallback / fast path
tokenizers==0.19.1

# JSON schema validation for parsed LLM output
pydantic==2.6.4