# Leo

<figure><img src="/files/k1JDMKmnGyVxFAsF8lCS" alt=""><figcaption></figcaption></figure>

**Leo is the first AI agent in Quasar.**\
He is a pricebot, capable of querying data for cryptocurrencies like Quasar, Solana, and Bitcoin.

{% hint style="info" %}
To summon Leo and speak to him, you must be in an agency. \
**You cannot speak to Leo in global chat, only in agency chat.**\
\
The command is: "**/summon pricebot"**\
\
**To stop speaking to Leo, simply refresh the page.** \
**You'll have to execute the command again to call him again.**
{% endhint %}

Leo is designed to be helpful, friendly, and informal. For now, he is only to provide crypto market data.\
\ <mark style="color:blue;">**Please Note:**</mark> When you refresh the page, you'll have to summon this bot again to start a new conversation. Refreshing will delete the entire conversation.\ <br>

<figure><img src="/files/gVnmQKd44tyLMTUVLNYC" alt=""><figcaption></figcaption></figure>

<mark style="color:yellow;">**Remember, to make the agency chat larger, just press on "Switch Chats" here.**</mark>

***

## How to speak to Leo (Step by Step)

The following is a step by step guide on how to interact with Leo on the Quasar terminal.

{% hint style="info" %}
**Here is a direct link to the thread:** <https://x.com/quasarsocialai/status/1864138515417567471>
{% endhint %}

<figure><img src="/files/XmOQoaKPws2lXTSdnTtA" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/XqB9F9emXOktbiMrdGgt" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/CujzqyPK5lqGuxu085D7" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/PWfLAVebJ7S7j1JZjtom" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions: 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:

```
GET https://docs.quasar.social/agents/leo.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.