# S3 Vectors Configuration
S3_VECTOR_BUCKET_NAME=your-vector-bucket-name
S3_VECTOR_INDEX_NAME=rag-index
S3_VECTOR_DIMENSION=1024  # Titan V2 embedding dimension
S3_VECTOR_DISTANCE_METRIC=cosine

# AWS Configuration
AWS_REGION=us-east-1
# Optional: Only needed if not using IAM role or AWS CLI credentials
# AWS_ACCESS_KEY_ID=your-access-key
# AWS_SECRET_ACCESS_KEY=your-secret-key

# Bedrock Model Configuration
BEDROCK_EMBED_MODEL_ID=amazon.titan-embed-text-v2:0
BEDROCK_LLM_MODEL_ID=us.anthropic.claude-3-5-haiku-20241022-v1:0

# Processing Parameters
CHUNK_SIZE=800
CHUNK_OVERLAP=100
TOP_K=6
SIMILARITY_THRESHOLD=0.7

# LLM Generation Configuration
MAX_TOKENS=512
TEMPERATURE=0.2

# Data Source Configuration
DATA_DIRECTORY=./data
# Optional: S3 bucket for document ingestion
# S3_BUCKET_NAME=your-s3-bucket

# API Configuration
API_TITLE=S3 Vectors RAG API
API_VERSION=1.0.0
LOG_LEVEL=INFO
DEBUG=False

# OpenTelemetry Configuration
OTEL_ENABLED=true
OTEL_SERVICE_NAME=s3-vectors-rag
OTEL_ENVIRONMENT=development
# For local development, use localhost:4317. For Docker, this is overridden to otel-collector:4317
# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317
OTEL_EXPORTER_OTLP_INSECURE=true
OTEL_METRICS_EXPORT_INTERVAL_MS=60000
OTEL_INSTRUMENT_FASTAPI=true
OTEL_CAPTURE_CONTENT=true  # Set to true to capture prompts/completions (be mindful of privacy)
OTEL_MAX_EVENT_CONTENT_LENGTH=1000
OTEL_CAPTURE_SOURCES=true  # Set to true to capture retrieved sources in traces
OTEL_MAX_SOURCES_PER_TRACE=10  # Maximum number of sources to record per trace