Simulation Environments
Create simulation environments for safe agent training
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Different simulation types serve different purposes. Choose based on testing goals: speed vs realism, isolation vs integration, early development vs final validation. Most teams use multiple types.
Interactive: Environment Type Comparison
Explore different simulation approaches:
Mock API returns predefined responses. No real database, no real services. Test agent logic in isolation.
When to Use Each Type
Fast unit tests. Verify agent logic without external dependencies. Run 1000+ tests per minute. Perfect for TDD.
Generate diverse scenarios. Train on edge cases. Create realistic but safe test data. Scale to millions of examples.
Balance speed and realism. Use real APIs for critical paths. Mock expensive or slow operations. Good for continuous testing.
Final validation. Exact production replica. Catch integration issues. Run for days before production deploy.
Start simple (mocks), increase realism progressively. Don't build a digital twin on day 1 - you'll waste weeks setting it up. Begin with mocks for rapid iteration, add synthetic data for coverage, use hybrid for integration, finish with digital twin for final validation. Each stage catches different bugs.