# AIBrow

```javascript
import AI from '@aibrow/web'
console.log(AI.AIBrow)
```

The AIBrow llama.cpp extension implementation of AiBrow

## Properties

## Embedding

[`Embedding`](/api-reference/aibrow/embedding.md)

### LanguageDetector

[`LanguageDetector`](#languagedetector)

### LanguageModel

[`LanguageModel`](/api-reference/aibrow/languagemodel.md)

### Rewriter

[`Rewriter`](/api-reference/aibrow/rewriter.md)

### Summarizer

[`Summarizer`](/api-reference/aibrow/summarizer.md)

### Translator

[`Translator`](/api-reference/aibrow/translator.md)

### Writer

[`Writer`](/api-reference/aibrow/writer.md)

***

## Methods

### capabilities

`async capabilities() => { ready: boolean, helper: boolean, extension: boolean }`

Get the capabilities of the on-device language ai.

### getHelperDownloadUrl

`async getHelperDownloadUrl() => string`

Returns a link to download the AiBrow helper for this platform. This call relies on the network to fetch the latest request, so it should only be used as needed.


---

# 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.aibrow.ai/api-reference/ai/aibrow.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.