env.production.example

# Copy to /etc/codestream/env on the EC2 instance and fill in values.
# chmod 600 /etc/codestream/env

# --- AWS (use an EC2 instance IAM role when possible; omit keys if role is attached) ---
AWS_REGION=us-east-1
# AWS_ACCESS_KEY_ID=
# AWS_SECRET_ACCESS_KEY=
SQS_SUBMISSION_QUEUE_URL=https://sqs.us-east-1.amazonaws.com/ACCOUNT_ID/code-submissions
SQS_RESULT_QUEUE_URL=https://sqs.us-east-1.amazonaws.com/ACCOUNT_ID/execution-results
# Do not set AWS_ENDPOINT_URL in production.

# --- Database (managed Postgres recommended) ---
DATABASE_URL=postgresql://USER:PASSWORD@HOST/DBNAME?sslmode=require

# Allow browser requests from your Vercel frontend (only needed if using
# NEXT_PUBLIC_API_BASE_URL for direct browser → API calls; optional with rewrites)
# CORS_ALLOWED_ORIGIN_PATTERNS=https://codestream.npsolver.io,https://*.vercel.app

# --- Optional API tuning ---
# GEMINI_API_KEY=
# GEMINI_MODEL=gemini-2.5-flash
# RESULT_RETENTION_DAYS=1

# --- Worker Docker execution (host Docker engine required) ---
EXECUTION_DOCKER_IMAGE=codestream-python-runner:latest
EXECUTION_DOCKER_BINARY=docker