# Google Gemini

Google Gemini provides access to Google's Gemini models, supporting the Chat capability.

## Installation

{% code title="Package Manager Console" %}

```powershell
Install-Package Umbraco.AI.Google
```

{% endcode %}

Or via .NET CLI:

{% code title="Terminal" %}

```bash
dotnet add package Umbraco.AI.Google
```

{% endcode %}

## Connection Settings

| Setting | Required | Description                                                          |
| ------- | -------- | -------------------------------------------------------------------- |
| API Key | Yes      | Your Google AI API key from [AI Studio](https://aistudio.google.com) |

### Getting an API Key

1. Go to [Google AI Studio](https://aistudio.google.com)
2. Sign in with your Google account
3. Click **Get API key** in the sidebar
4. Create a new API key or use an existing one
5. Copy the key

{% hint style="warning" %}
Keep your API key secure. Never commit it to source control or expose it in client-side code.
{% endhint %}

![Google Gemini connection detail](/files/xrGKmbpBt2NDeK5cQDlH)

## Related

* [Providers Overview](/ai-in-umbraco/providers/providers.md)
* [Managing Connections](/ai-in-umbraco/backoffice/managing-connections.md)


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# 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.umbraco.com/ai-in-umbraco/providers/google.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.