> For the complete documentation index, see [llms.txt](https://docs.uptiq.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.uptiq.ai/ai-workbench-qore/console/agent-builder/test.md).

# Test

Validate the agent before anyone depends on it.

**Test** is where you find out whether the agent actually does what you intended — before it reaches real users.

Testing an agent is not like testing ordinary software. The same input can produce different output, so a single successful run proves very little. What you need is a scored dataset of representative cases, run repeatedly as you change instructions, skills, and behavior settings, so you can see whether a change improved the agent or merely moved the problem.

* [Evals](/ai-workbench-qore/console/agent-builder/test/evals.md) — Test the agent against scored datasets before release.

You can also exercise the agent interactively with **Try Agent** in the builder, and open the execution trace to see how it interpreted your instructions, which skills it called, and how long each step took. Use interactive testing to explore and evals to prove.

***

When the agent performs on your test cases, move on to [Deploy](/ai-workbench-qore/console/agent-builder/deploy.md). After release, [Monitor](/ai-workbench-qore/console/agent-builder/monitor.md) tells you how it behaves on traffic your test set never anticipated.

***

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<p align="right"><em>Maintained by</em> <mark style="color:green;">Abhishek Paul</mark><br><code>AI-assisted, human-approved</code></p>
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<div align="left"><img src="https://1326225582-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0qmgQjJ5aArDTj2ACFHG%2Fuploads%2Fgit-blob-d034645b4f8f8ee661985f5306b60ded3289653c%2Fmaintainer-abhishek-paul.png?alt=media" alt="" width="60"></div>
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---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.uptiq.ai/ai-workbench-qore/console/agent-builder/test.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
