Topic 9: Automated Evaluation

What You’ll Learn

This topic teaches you how to:

• Build automated evaluation pipelines
• Integrate evaluation into CI/CD
• Run regression tests
• Set up continuous evaluation
• Create evaluation infrastructure

Why We Need This

Business Need

• Speed: Automate repetitive evaluation
• Consistency: Same evaluation every time
• Scale: Evaluate many agents efficiently

Technical Need

• Automation: Don’t manually run tests
• CI/CD integration: Test in pipelines
• Infrastructure: Reliable evaluation systems

Industry Use Cases

1. CI/CD Integration

Company: All tech companies Use Case: Automatically test agents in CI/CD

2. Regression Testing

Company: Agent platforms Use Case: Catch regressions automatically

3. Continuous Evaluation

Company: ML platforms Use Case: Continuously evaluate agents

Industry-Standard Boilerplate Code

Automated Evaluation Pipeline

"""
Automated Evaluation Pipeline
Industry standard CI/CD integration
"""
from typing import List, Dict
import json

class AutomatedEvaluator:
    """Automated evaluation pipeline"""
    
    def __init__(self, test_suite: List, evaluator: Any):
        self.test_suite = test_suite
        self.evaluator = evaluator
    
    def run_evaluation(self, agent: Any) -> Dict:
        """Run automated evaluation"""
        results = []
        for test in self.test_suite:
            result = self.evaluator.evaluate(agent, test)
            results.append(result)
        
        return {
            "summary": self._generate_summary(results),
            "results": results,
            "passed": sum(1 for r in results if r['passed']),
            "total": len(results)
        }
    
    def _generate_summary(self, results: List) -> Dict:
        """Generate evaluation summary"""
        return {
            "success_rate": sum(1 for r in results if r['passed']) / len(results),
            "avg_score": sum(r['score'] for r in results) / len(results)
        }

Exercises

1. Build evaluation pipeline
2. Integrate with CI/CD
3. Set up regression tests
4. Create continuous evaluation

Next Steps

• Topic 10: Benchmark datasets
• Topic 11: Evaluation tools