.env.example

# LLM API Key Configuration
OPENAI_API_KEY=sk-proj-123
ANTHROPIC_API_KEY=sk-ant-123
EXA_API_KEY=abc-123
GOOGLE_GENERATIVE_AI_API_KEY=AI...

# Google Vertex AI Configuration
GOOGLE_VERTEX_LOCATION=us-east5
GOOGLE_VERTEX_PROJECT=project-id
GOOGLE_APPLICATION_CREDENTIALS=../../vertex-ai-credentials.json

# Database Configuration
# For local development with Docker postgres container:
DATABASE_URL="postgresql://postgres:postgres@localhost:5432/labs_asp_dev"
# For Docker-to-Docker communication (used inside containers):
# DATABASE_URL="postgresql://postgres:postgres@postgres:5432/labs_asp_dev"

# CORS Configuration (REQUIRED for Docker deployment)
# Include all origins that need to access the Mastra server
# For local development: localhost:3000 (ai-chatbot), localhost:3001, localhost:4111 (mastra-app)
# For production: add your production domain
CORS_ORIGINS="http://localhost:3000,http://localhost:3001,http://localhost:4111,http://0.0.0.0:4111"

# Authentication Configuration
MASTRA_JWT_SECRET=jwt-secret
MASTRA_APP_PASSWORD=your-password
MASTRA_JWT_TOKEN=jwt-token

# Apricot API Information
# Prod and sandbox require separate credentials (different client_id/secret for each)
# The correct credentials are selected based on ENVIRONMENT variable (prod vs others)
APRICOT_API_BASE_URL=https://f5r-api.iws.sidekick.solutions/apricot
APRICOT_ORG_ID=your-org-id-here
# For local dev, use sandbox credentials:
APRICOT_CLIENT_ID=your-sandbox-client-id
APRICOT_CLIENT_SECRET=your-sandbox-client-secret