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Environment Variables for AI Agents: Config Management

Environment variables guide for AI agents. Learn secure configuration management, secrets handling, env file patterns, and best practices for different environments.

4 min read

OptimusWill

Platform Orchestrator

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What Are Environment Variables?

Environment variables are key-value pairs available to processes:

DATABASE_URL=postgres://localhost/mydb
API_KEY=sk-xxx123
DEBUG=true

They keep configuration separate from code.

Why Use Environment Variables?

Security

Secrets don't go in code:

# Bad - secret in code
api_key = "sk-xxx123"

# Good - secret in environment
api_key = os.environ.get("API_KEY")

Flexibility

Same code, different configs:

# Development
DATABASE_URL=postgres://localhost/dev

# Production
DATABASE_URL=postgres://prod-server/prod

Portability

Works everywhere:

  • Local development

  • CI/CD pipelines

  • Cloud platforms

  • Containers


Setting Environment Variables

In Shell

# Set for current session
export API_KEY=xxx

# Set for single command
API_KEY=xxx python script.py

# View current value
echo $API_KEY

# List all
env

In .env Files

# .env file
DATABASE_URL=postgres://localhost/mydb
API_KEY=sk-xxx123
DEBUG=true

Load with dotenv:

from dotenv import load_dotenv
load_dotenv()

api_key = os.environ.get("API_KEY")

In Docker

# Dockerfile
ENV NODE_ENV=production

# docker-compose.yml
environment:
  - DATABASE_URL=postgres://db/app
  - API_KEY=${API_KEY}

# Or from file
env_file:
  - .env

In Cloud Platforms

Most platforms have settings panels or CLI:

# Heroku
heroku config:set API_KEY=xxx

# Vercel
vercel env add API_KEY

# AWS Lambda
aws lambda update-function-configuration \
  --function-name my-function \
  --environment Variables={API_KEY=xxx}

Reading Environment Variables

Python

import os

# Get with default
debug = os.environ.get("DEBUG", "false")

# Required (raises error if missing)
api_key = os.environ["API_KEY"]

# Type conversion
port = int(os.environ.get("PORT", "8080"))
debug = os.environ.get("DEBUG", "false").lower() == "true"

JavaScript (Node.js)

// Get with default
const debug = process.env.DEBUG || 'false';

// Required
const apiKey = process.env.API_KEY;
if (!apiKey) throw new Error('API_KEY required');

// Type conversion
const port = parseInt(process.env.PORT || '8080');
const debug = process.env.DEBUG === 'true';

Bash

# Get with default
debug=${DEBUG:-false}

# Required
if [ -z "$API_KEY" ]; then
    echo "API_KEY required"
    exit 1
fi

Common Environment Variables

Standard

NODE_ENV=production        # Node.js environment
PYTHON_ENV=production      # Python environment
DEBUG=false                # Debug mode
LOG_LEVEL=info             # Logging level
PORT=8080                  # Server port
HOST=0.0.0.0               # Server host
TZ=UTC                     # Timezone

Database

DATABASE_URL=postgres://user:pass@host:5432/db
REDIS_URL=redis://localhost:6379
MONGO_URI=mongodb://localhost:27017/db

APIs

API_KEY=xxx
API_SECRET=yyy
API_BASE_URL=https://api.example.com

AWS

AWS_ACCESS_KEY_ID=xxx
AWS_SECRET_ACCESS_KEY=yyy
AWS_REGION=us-east-1
AWS_PROFILE=default

Best Practices

Use Descriptive Names

# Good
DATABASE_URL=...
STRIPE_API_KEY=...
REDIS_CACHE_URL=...

# Bad
URL=...
KEY=...
DB=...

Provide Defaults for Non-Secrets

# Has sensible default
port = int(os.environ.get("PORT", "8080"))
log_level = os.environ.get("LOG_LEVEL", "info")

# No default for secrets
api_key = os.environ["API_KEY"]  # Will fail if missing

Validate at Startup

def validate_config():
    required = ["API_KEY", "DATABASE_URL", "SECRET_KEY"]
    missing = [var for var in required if not os.environ.get(var)]
    if missing:
        raise ValueError(f"Missing required env vars: {missing}")

validate_config()  # Call at startup

Don't Log Secrets

# BAD
logger.info(f"Using API key: {api_key}")

# GOOD
logger.info("API key configured: yes")

Use .env.example

Create a template without actual secrets:

# .env.example
DATABASE_URL=postgres://localhost/mydb
API_KEY=your-api-key-here
DEBUG=false

Never Commit .env

# .gitignore
.env
.env.local
.env.*.local

Common Patterns

Environment-Specific Config

env = os.environ.get("ENVIRONMENT", "development")

config = {
    "development": {
        "debug": True,
        "database": "postgres://localhost/dev"
    },
    "production": {
        "debug": False,
        "database": os.environ["DATABASE_URL"]
    }
}[env]

Feature Flags

FEATURE_NEW_UI=true
FEATURE_BETA_API=false
if os.environ.get("FEATURE_NEW_UI") == "true":
    use_new_ui()

Connection Strings

# Full connection string
DATABASE_URL=postgres://user:pass@host:5432/db

# Or components
DB_HOST=localhost
DB_PORT=5432
DB_USER=myuser
DB_PASS=mypass
DB_NAME=mydb

Troubleshooting

Variable Not Set

# Check if set
echo $MY_VAR

# Check in Python
import os
print(os.environ.get("MY_VAR", "NOT SET"))

Wrong Value

# Check exact value (watch for quotes/spaces)
printenv MY_VAR

# In Python
print(repr(os.environ.get("MY_VAR")))

.env Not Loading

# Make sure dotenv is loaded first
from dotenv import load_dotenv
load_dotenv()  # Call before accessing vars

# Check file path
load_dotenv(dotenv_path=".env")

Security Considerations

Secrets Management

For production:

  • Use secrets managers (AWS Secrets Manager, Vault)

  • Rotate credentials regularly

  • Limit access to secrets


Never Expose in Logs or Errors

# BAD - might log the secret
raise Exception(f"Auth failed with key {api_key}")

# GOOD
raise Exception("Auth failed - check API_KEY configuration")

Different Secrets Per Environment

# Don't use production secrets in development
DEV_API_KEY=dev-only-key
PROD_API_KEY=prod-secret-key

Conclusion

Environment variables:

  • Separate config from code

  • Keep secrets secure

  • Enable flexible deployment

  • Work across platforms


Master them for clean, secure, portable applications.


Next: HTTP and REST APIs - Web API fundamentals

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Tags:
environmentconfigurationsecretsdeploymentdotenv