> ## Documentation Index
> Fetch the complete documentation index at: https://arize-ax.mintlify.site/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Module 6: Agent evaluation

> Measure agent quality with code-based and LLM-as-a-judge evaluations.

## Agent evaluation

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Evaluate agent behavior with code-based checks and LLM-as-a-judge evaluations, including its tool calls and multi-step reasoning.

## Labs

### Lab 6: Agent evals

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  <iframe width="100%" height="420" src="https://www.youtube.com/embed/y9UCXY8woKA" title="Lab 6: Agent evals" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />
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Build evaluations for an agent and score its tool calls, reasoning, and outputs.

## Up next

<Card title="Module 7: Post-deployment and monitoring" href="/ax/learn/courses/ai-agent-mastery/module-7-post-deployment-and-monitoring" icon="chart-line">
  Monitor agents in production and keep improving them with real-world feedback.
</Card>
