Home/Agentic AI/Capstone: Build Your Agent/Testing & Deployment

Capstone: Build Your Agent

Build your own sophisticated AI agent from scratch as a capstone project

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Testing & Deploying Your Agent

Before deploying to production, test your agent thoroughly at 4 levels: unit tests for individual tools, integration tests for component interactions, scenario tests for real workflows, and performance tests for speed and cost.

Interactive: Testing Strategy Explorer

Choose a testing level to see example code and key metrics:

🧪
Unit Tests
Focus: Individual tools and functions
def test_search_tool():
    tool = SearchTool()
    result = tool.run("Python testing")
    
    assert result['success'] == True
    assert len(result['results']) > 0
    assert 'Python' in result['results'][0]

def test_calculator_tool():
    tool = CalculatorTool()
    
    # Test valid input
    assert tool.run("2 + 2") == 4
    
    # Test error handling
    with pytest.raises(ValueError):
        tool.run("invalid")
Key Metrics
Code coveragePass/fail rateExecution time

Interactive: Deployment Options

Choose deployment target based on your use case:

🌐
REST API
Easy • Web/mobile apps, integrations
Deployment Steps
  1. 1.Wrap agent in FastAPI/Flask endpoint
  2. 2.Add authentication (API keys)
  3. 3.Deploy to cloud (AWS/GCP/Vercel)
  4. 4.Set up monitoring and logs

Production Readiness Checklist

☐Unit tests with 80%+ coverage
☐Integration tests for key workflows
☐Performance benchmarks documented
☐Error handling tested (API failures, timeouts)
☐Monitoring and logging configured
☐API rate limits and costs tracked
☐Documentation (README, API docs)
☐Security review (API keys, input validation)
🎉
You\'re Ready to Ship!

Once your agent passes all tests and meets production standards, deploy it and monitor real usage. Start with a small user group, collect feedback, iterate on failures. Most production agents improve 10x in reliability within the first month based on real-world usage patterns.

Next: Share your agent with the community, write a blog post about lessons learned, and start building your next agent!

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