> For the complete documentation index, see [llms.txt](https://docs.peoplelogic.dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.peoplelogic.dev/api/agent-api.md).

# Agent API

As part of the Agent SDK you can expose your agents through a standard REST API.  The API allows you to get the available agents, start new conversations, chat with your agents and search and view the history of your conversations.

{% hint style="info" %}
If you are deploying multiple teams of agents you'll want to [customize the API path](/guides/getting-started-with-the-talent-agent-sdk/advanced/customizing-your-agent-api-path.md) for each so that you can reach the teams independently.
{% endhint %}


---

# 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://docs.peoplelogic.dev/api/agent-api.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.