Topic 11: Evaluation Tools

What You’ll Learn

This topic teaches you how to:

• Use LangSmith for evaluation
• Leverage AutoGPT evaluation tools
• Build custom evaluation frameworks
• Create visualization tools
• Generate evaluation reports

Why We Need This

Business Need

• Efficiency: Use existing tools instead of building from scratch
• Standardization: Industry-standard tools
• Reporting: Professional evaluation reports

Technical Need

• Tools: Leverage existing evaluation tools
• Integration: Integrate tools into workflows
• Customization: Extend tools for specific needs

Industry Use Cases

1. LangSmith Integration

Company: LangChain users Use Case: Use LangSmith for evaluation

2. Custom Frameworks

Company: Companies with specific needs Use Case: Build custom evaluation tools

3. Reporting Systems

Company: All companies Use Case: Generate evaluation reports

Industry-Standard Boilerplate Code

Evaluation Tool Wrapper

"""
Evaluation Tool Wrapper
Wraps common evaluation tools
"""
from typing import Dict, Any

class EvaluationTool:
    """Base class for evaluation tools"""
    
    def evaluate(self, agent: Any, test_case: Any) -> Dict:
        """Evaluate agent on test case"""
        raise NotImplementedError

class LangSmithEvaluator(EvaluationTool):
    """LangSmith evaluation wrapper"""
    
    def evaluate(self, agent: Any, test_case: Any) -> Dict:
        """Evaluate using LangSmith"""
        # In production, integrate with LangSmith API
        return {
            "tool": "langsmith",
            "result": "placeholder"
        }

Exercises

1. Use LangSmith
2. Build custom tools
3. Create visualizations
4. Generate reports

Next Steps

• Topic 12: Production monitoring