.env.example

# Proveedor activo: deepgram | assemblyai | aws_transcribe | whisper_local
SPEECH_PROVIDER=deepgram

# Claves de proveedores
DEEPGRAM_API_KEY=
ASSEMBLYAI_API_KEY=

# AWS (solo si SPEECH_PROVIDER=aws_transcribe)
AWS_REGION=us-east-1
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=

# LLM provider para sugerencias: openai | groq | anthropic
LLM_PROVIDER=groq

# LLM provider keys (solo se necesita la del provider activo)
GROQ_API_KEY=
OPENAI_API_KEY=
ANTHROPIC_API_KEY=

# Modelo a usar (vacío = usa el default de cada provider)
# groq default:      llama-3.1-8b-instant
# openai default:    gpt-4o-mini
# anthropic default: claude-haiku-4-5
SUGGESTION_MODEL=

# Suggestion trigger settings
SUGGESTION_SILENCE_THRESHOLD=6.0
SUGGESTION_SIMILARITY_THRESHOLD=0.6
SUGGESTION_CONTEXT_SIZE=5
ENABLE_SEMANTIC_SIMILARITY=false  # true = usa BAAI/bge-small-en-v1.5 (~130 MB)

# Servidor
LOG_LEVEL=INFO
CORS_ORIGINS=["http://localhost:3000"]

# Timeouts (segundos)
PROVIDER_CONNECT_TIMEOUT=10
PROVIDER_RESPONSE_TIMEOUT=30