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

# Google Vertex

> Set up Coreply with Vertex AI to use Gemini models from your Google Cloud project.

Use this provider when you want Gemini through Vertex AI instead of the Gemini API from AI Studio.

## Setup

<Steps>
  <Step title="Choose Google Vertex in the app">
    Open Coreply and choose **Google Vertex** under **API Provider**.
  </Step>

  <Step title="Enter your Vertex settings">
    Fill in the following values:

    | Field                       | Value                                                        |
    | --------------------------- | ------------------------------------------------------------ |
    | Model                       | `gemini-3.5-flash-lite`                                      |
    | API key                     | Optional, if you use API-key auth                            |
    | Project                     | Your Google Cloud project ID if you use service-account auth |
    | Location                    | Your Vertex region if you use service-account auth           |
    | Service account credentials | Optional alternative to API-key auth                         |
  </Step>

  <Step title="Minimize thinking">
    Set **Provider Options** to:

    ```json theme={null}
    {"vertex": {"thinkingConfig": {"thinkingLevel": "minimal"}}}
    ```
  </Step>
</Steps>

## Recommended models

```text theme={null}
gemini-3.5-flash-lite
gemini-3.6-flash
```

<Note>
  Current Gemini 3.x models use `thinkingLevel`. `minimal` is the lowest setting. If you use an older Gemini 2.5 model instead, use `{"vertex": {"thinkingConfig": {"thinkingBudget": 0}}}`.
</Note>