APP_ENV=development
API_HOST=0.0.0.0
API_PORT=8000

# --- Embedding provider: dummy | openai | sentence_transformers | gemma ---
EMBEDDING_PROVIDER=dummy
EMBEDDING_MODEL=text-embedding-3-small
EMBEDDING_BATCH_SIZE=100

# OpenAI (multilingual: text-embedding-3-small / text-embedding-3-large)
OPENAI_API_KEY=

# Gemma (multilingual)
# Backend: sentence_transformers (local HF model) | google_genai (Google API)
GEMMA_BACKEND=sentence_transformers
GEMMA_MODEL=google/embeddinggemma-300m
GOOGLE_API_KEY=

# --- Vector store: memory | chroma | qdrant | sqlite | postgres ---
VECTOR_STORE=memory
VECTOR_DIMENSION=128
COLLECTION_NAME=intents

TOP_K_DEFAULT=5
TOP_K_MAX=50

# Chroma
CHROMA_PATH=./data/chroma

# Qdrant
QDRANT_URL=http://localhost:6333
QDRANT_API_KEY=

# SQLite + sqlite-vec
SQLITE_PATH=./data/intents.sqlite

# Postgres + pgvector
POSTGRES_DSN=postgresql://intent:intent@localhost:5432/intent
POSTGRES_TABLE=intent_embeddings

# Logging
LOG_LEVEL=INFO
LOG_USER_TEXT=false