> For the complete documentation index, see [llms.txt](https://raia2.gitbook.io/raia/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://raia2.gitbook.io/raia/raia-cx/agent-management/agent-report-tab.md).

# Agent Report Tab

## Report Tab

This is where you'll be able to see the full agent report, covering **Quality, Channel Usage, Resource Usage and Engagement Metrics.**

<figure><img src="/files/RY7XubOjVkYFcPG0AUI1" alt=""><figcaption></figcaption></figure>

As well you have the Ability to go to previous dates and compare metrics.

<figure><img src="/files/52FKMA6wKsXmUH1cKLPl" alt=""><figcaption></figcaption></figure>

## Conversation Quality

This dashboard keeps track of all the conversation grade the AI has obtained and give you the quality numbers.

<figure><img src="/files/FGKNTUyNubKrYCbALx45" alt=""><figcaption></figcaption></figure>

## Channel Usage

This dashboard displays the AI agent’s activity across different communication channels, showing how many interactions have occurred via email, SMS, live chat, API, voice calls, and Copilot.

<figure><img src="/files/6XorGOJn3YkxnIvgYvwW" alt=""><figcaption></figcaption></figure>

## Resource Usage

This dashboard keeps track of the Tokens used by the AI and Call Minutes.

<figure><img src="/files/TbiR6vWDEgRUJ87jLI38" alt=""><figcaption></figcaption></figure>

## Engagement Metric

This dashboard keeps track of how many total unique users the AI has spoken to.<br>

<figure><img src="/files/ihdYds53cG2hinRpIUQM" alt=""><figcaption></figcaption></figure>

## [Agents Tab Full Showcase](https://www.youtube.com/watch?v=FE4Stzy5fTk)

{% embed url="<https://www.youtube.com/watch?v=FE4Stzy5fTk>" %}


---

# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://raia2.gitbook.io/raia/raia-cx/agent-management/agent-report-tab.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.