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

# Introduction

We currently offer 3 types of widgets for your website:

* Text Completion (Form-based bot that generates text in [Markdown](https://www.markdownguide.org/getting-started/?ref=interaxai.com) format)
* Chat Completion ([ChatGPT](https://openai.com/blog/chatgpt?ref=interaxai.com)-like chatbot)
* Image Generation (Form-based bot that generates images)

What features does each widget have?

* Configurable OpenAI settings (control how the AI responds to your users)
* Rate Limiter (control how fast your user can generate results)
* Custom Styling (edit your widget's appearance with our widget editor)
* Monetizable (earn money by allowing your users to pay upfront)
* Embeddable (embed anywhere where you can insert an HTML code)
* Embeddings (ability to use content from your file documents to answer user prompts)
* and more...


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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 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.interaxai.com/getting-started/introduction.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.