> ## 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.

# Instrument an agent and review traces

> Instrument your application so it streams traces into Arize AX, then review the traces a live agent produces.

Instrumentation captures each step your application takes and streams it into Arize AX as traces. With a few lines of setup, every LLM call, tool invocation, and retrieval becomes visible and ready to evaluate.

## Set up LLM tracing in minutes with OpenTelemetry | Ep. 3

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  <iframe width="100%" height="420" src="https://www.youtube.com/embed/GRuItd_7raY" title="Set Up LLM Tracing in Minutes with OpenTelemetry | Ep. 3" frameborder="0" allow="clipboard-write; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />
</Frame>

What tracing requires and how instrumentation captures each step of your application.

## Build a real AI agent (financial analyst) with the Claude Agent SDK | Ep. 4

<Frame>
  <iframe width="100%" height="420" src="https://www.youtube.com/embed/Kx33ExJkfmc" title="Build a Real AI Agent (Financial Analyst) with the Claude Agent SDK | Ep. 4" frameborder="0" allow="clipboard-write; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />
</Frame>

Instrument a working agent end to end and review its traces as they arrive in Arize AX.

## Up next

<Card title="Create and validate evaluators" href="/ax/learn/getting-started-with-ax/observe-and-evaluate" icon="scale-balanced">
  Define success criteria and build code and LLM-as-a-judge evaluators you can trust.
</Card>