Pre-flight Simulator

Test before you deploy

The Pre-flight Simulator lets you test AI agent behavior in a sandboxed

environment before production deployment. Run adversarial tests, validate safety

constraints, and measure alignment metrics without risking real-world consequences.

Try Pre-flight Simulator View Documentation

python

from sentinelseed import Simulator

# Initialize simulator with test suite
sim = Simulator(
    agent=my_agent,
    test_suite="adversarial-v2"
)

# Run pre-flight checks
results = sim.run_all_tests()

print(f"Safety Score: {results.safety_score}/100")
print(f"Alignment Score: {results.alignment_score}/100")
print(f"Vulnerabilities: {len(results.vulnerabilities)}")

# Block deployment if not passing
if results.safety_score < 90:
    raise DeploymentBlocked("Safety score too low")

Key Features

Sandboxed execution environment

Adversarial test suites

Alignment metric scoring

Behavioral regression testing

CI/CD integration

Best For

Pre-deployment validation

Continuous safety testing

Red team exercises

Compliance certification

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