> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pipeshub.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Google Gemini

> Configure PipesHub Workplace AI to use different Google Gemini models

# Google Gemini Configuration

<img src="https://mintcdn.com/pipeshub/xDYTCu7XyGABzJ1N/images/ai-models/llm/Gemini_LLMConfig.png?fit=max&auto=format&n=xDYTCu7XyGABzJ1N&q=85&s=b839763fe30c68aa5fcb1a3e001aa290" alt="Google Gemini Configuration Interface" width="667" height="1001" data-path="images/ai-models/llm/Gemini_LLMConfig.png" />

*The Google Gemini configuration screen in PipesHub where you'll enter your API Key and Model Name*

PipesHub allows you to integrate with Google's Gemini AI to enable sophisticated AI features in your workspace, accessing Google's powerful Gemini language models.

## Required Fields

### API Key \*

The API Key is required to authenticate your requests to Google's Gemini AI services.

**How to obtain an API Key:**

1. Log in to the [Google AI Studio](https://aistudio.google.com/)
2. Click on your profile icon in the top right corner
3. Select "Get API key"
4. You can either create a new API key or use an existing one
5. Copy the generated API key

**Security Note:** Your API key should be kept secure and never shared publicly. PipesHub securely stores your API key and uses it only for authenticating requests to Google Gemini services.

### Model Name \*

The Model Name field defines which Google Gemini model you want to use with PipesHub.

**Popular Google Gemini models include:**

* `gemini-3.1-pro-preview` - Most advanced model with strong reasoning abilities
* `gemini-3-flash-preview` - Cost-effective, low-latency, strong for multi-modal understanding and coding

**How to choose a model:**

* For complex reasoning and advanced features, select `gemini-3.1-pro-preview`
* For routine tasks and lower latency, select `gemini-3-flash-preview`
* Check Google's [Gemini model documentation](https://ai.google.dev/models/gemini) for the most up-to-date options

## Configuration Steps

As shown in the image above:

1. Click **Configure** on the Gemini provider card
2. Enter your Google AI API Key in the designated field (marked with \*)
3. Specify your desired Model Name (marked with \*)
4. Click **Add Model** to save and validate your credentials

> Both the API Key and Model Name are required fields to successfully configure Google
> Gemini integration. You must complete these fields to proceed with the setup.

## Usage Considerations

* API usage will count against your Google AI API quota and billing
* Different models have different pricing - check Google AI's pricing page for details
* Model capabilities vary - more powerful models may provide better results but at higher cost
* Google Gemini provides:
  * Advanced reasoning capabilities
  * Multimodal understanding (text, images, code)
  * Support for long contexts
  * Optimized performance across various tasks

## Troubleshooting

* If you encounter authentication errors, verify your API key is correct and has not expired
* Ensure your Google account has billing set up if you're using paid service tiers
* Check that the model name is spelled correctly and available in your region
* Verify that your API key has access to the specific model you've selected
* If you're experiencing rate limits, check your API usage in the Google AI Studio dashboard

For additional support, refer to the [Google Gemini documentation](https://ai.google.dev/docs) or contact PipesHub support.