# OpenAI/Chat GPT Integration

Open AI integration is available as a separate npm package

{% tabs %}
{% tab title="Yarn" %}

```sh
yarn add @rowsncolumns/openai
```

{% endtab %}

{% tab title="NPM" %}

```sh
npm install @rowsncolumns/openai
```

{% endtab %}
{% endtabs %}

### Usage

```tsx
import { SpreadsheetProvider, CanvasGrid } from "@rowsncolumns/spreadsheet"
import {
  ASK_OPENAI,
  functionDescriptions as openAIFunctionDescriptions,
} from "@rowsncolumns/openai";
import { functionDescriptions, functions } from "@rowsncolumns/functions";
import { useSpreadsheetState } from "@rowsncolumns/spreadsheet-state"


const allFunctions = {
  ...functions,
  ASK_OPENAI
}

const allFunctionDescriptions = functionDescriptions.concat(
  openAIFunctionDescriptions
);

const MySpreadsheet = () => {
  const { ... } = useSpreadsheetState({
   functions: allFunctions
  })
  return (
    <CanvasGrid
      functionDescriptions={allFunctionDescriptions}
      {...}
    />
  )
}

export const App = () => (
  <SpreadsheetProvider>
    <MySpreadsheet />
  </SpreadsheetProvider>
)

```

<figure><img src="/files/xH92lFczvTfEB4aLxSaD" alt=""><figcaption><p>Example of Open AI Integration</p></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.rowsncolumns.app/configuration/features/openai-chat-gpt-integration.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.