.env.example

# Prompt Mining Environment Variables
# Copy this file to .env and fill in your values

# =============================================================================
# HuggingFace (required for model loading)
# =============================================================================
HF_TOKEN=hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
HF_HOME=/path/to/huggingface/cache

# =============================================================================
# AWS Credentials (required for optional SAE feature interpretation by an LLM via Bedrock)
# =============================================================================
# Option 1: Standard IAM credentials
# AWS_ACCESS_KEY_ID=AKIAxxxxxxxxxxxxxxxx
# AWS_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# AWS_DEFAULT_REGION=us-west-2

# Option 2: Bearer token (SSO/Identity Center)
# AWS_BEARER_TOKEN_BEDROCK=your_bearer_token_here

# Note: boto3 uses its standard credential chain. Configure whichever
# authentication method works for your setup (~/.aws/credentials, IAM role, etc.)