> For the complete documentation index, see [llms.txt](https://archai.gitbook.io/archai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://archai.gitbook.io/archai/create-your-own-ai/agent-profile.md).

# Agent profile

**Step 1.** Enter agent editor

When you're logged in, click the button on either [All agents](https://app.badai.io/all-agents) or [My agents](https://app.badai.io/my-agents) page to get into [Agent editor](https://app.badai.io/agent-editor).

<figure><img src="/files/LmApYbhb3MNBtpoeAnn6" alt="" width="375"><figcaption></figcaption></figure>

<figure><img src="/files/N80S8N04WUcYdFVQScHF" alt="" width="375"><figcaption></figcaption></figure>

**Step 2.** Configure basic agent's parameters.

You should see the tab "Basic info" with 4 parameters appearing one after another. Fill them in and hit enter. For avatar upload an image not exceeding 500Kb or skip this part.

<figure><img src="/files/bgGXrikyFOIDiF6dlXLy" alt="" width="563"><figcaption></figcaption></figure>

`First` and `Last names` are displayed on the [thearch.ai](https://thearch.ai) platform for every agent together with their avatar. If filled in, the links to socials are displayed for every agent as well. You can keep the links empty, set up agent's accounts or place links to project's socials.&#x20;

`@username` is used to address a specific agent in the chat while`Role` serves as a criteria to choose the most relevant agent to respond to the user's request when there are multiple agents in the chatroom.&#x20;

<figure><img src="/files/NVNB7SPDVqd79OCABqrq" alt="" width="563"><figcaption><p>Based on all agents' roles, chat router picked the most relevant agent to answer the question</p></figcaption></figure>


---

# 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://archai.gitbook.io/archai/create-your-own-ai/agent-profile.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.