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Strands Agents SDK

Experiment Management

Overview

Section titled “Overview”

Test cases in Strands Evals are organized into Experiment objects. This guide covers practical patterns for managing experiments and test cases.

Organizing Test Cases

Section titled “Organizing Test Cases”

Using Metadata for Organization

Section titled “Using Metadata for Organization”
from strands_evals import Case


# Add metadata for filtering and organization
cases = [
    Case(
        name="easy-math",
        input="What is 2 + 2?",
        metadata={
            "category": "math",
            "difficulty": "easy",
            "tags": ["arithmetic"]
        }
    ),
    Case(
        name="hard-math",
        input="Solve x^2 + 5x + 6 = 0",
        metadata={
            "category": "math",
            "difficulty": "hard",
            "tags": ["algebra"]
        }
    )
]


# Filter by metadata
easy_cases = [c for c in cases if c.metadata.get("difficulty") == "easy"]

Naming Conventions

Section titled “Naming Conventions”
# Pattern: {category}-{subcategory}-{number}
Case(name="knowledge-geography-001", input="..."),
Case(name="math-arithmetic-001", input="..."),

Managing Multiple Experiments

Section titled “Managing Multiple Experiments”

Experiment Collections

Section titled “Experiment Collections”
from strands_evals import Experiment


experiments = {
    "baseline": Experiment(cases=baseline_cases, evaluators=[...]),
    "with_tools": Experiment(cases=tool_cases, evaluators=[...]),
    "edge_cases": Experiment(cases=edge_cases, evaluators=[...])
}


# Run all
for name, exp in experiments.items():
    print(f"Running {name}...")
    reports = exp.run_evaluations(task_function)

Combining Experiments

Section titled “Combining Experiments”
# Merge cases from multiple experiments
combined = Experiment(
    cases=exp1.cases + exp2.cases + exp3.cases,
    evaluators=[OutputEvaluator()]
)

Modifying Experiments

Section titled “Modifying Experiments”

Adding Cases

Section titled “Adding Cases”
# Add single case
experiment.cases.append(new_case)


# Add multiple
experiment.cases.extend(additional_cases)

Updating Evaluators

Section titled “Updating Evaluators”
from strands_evals.evaluators import HelpfulnessEvaluator


# Replace evaluators
experiment.evaluators = [
    OutputEvaluator(),
    HelpfulnessEvaluator()
]

Session IDs

Section titled “Session IDs”

Each case gets a unique session ID automatically:

case = Case(input="test")
print(case.session_id)  # Auto-generated UUID


# Or provide custom
case = Case(input="test", session_id="custom-123")

Best Practices

Section titled “Best Practices”

1. Use Descriptive Names

Section titled “1. Use Descriptive Names”
# Good
Case(name="customer-service-refund-request", input="...")


# Less helpful
Case(name="test1", input="...")

2. Include Rich Metadata

Section titled “2. Include Rich Metadata”
Case(
    name="complex-query",
    input="...",
    metadata={
        "category": "customer_service",
        "difficulty": "medium",
        "expected_tools": ["search_orders"],
        "created_date": "2025-01-15"
    }
)

3. Version Your Experiments

Section titled “3. Version Your Experiments”
experiment.to_file("experiment_v1.json")
experiment.to_file("experiment_v2.json")


# Or with timestamps
from datetime import datetime
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
experiment.to_file(f"experiment_{timestamp}.json")
Section titled “Related Documentation”