# Vertex AI

## Tutorial Overview

### 1. Get an API Key

* Before obtaining a Gemini API key, you need a Google Cloud project (if you already have one, you can skip this step)
* Go to [Google Cloud](https://console.cloud.google.com/projectcreate) Create a project, enter the project name, and click Create Project

<figure><img src="/files/12e124197fd018f61e00a8f3aea78663731047d3" alt=""><figcaption></figcaption></figure>

* Go to[Vertex AI Console](https://console.cloud.google.com/vertex-ai)
* Enable in the created project [Vertex AI API](https://console.cloud.google.com/apis/library/aiplatform.googleapis.com?inv=1\&invt=Ab0iBA)

<figure><img src="/files/8427cf78ef612e73cffe74c633b867f8b271acdc" alt=""><figcaption></figcaption></figure>

## 2. Set up API access permissions

* Open [Service account](https://console.cloud.google.com/iam-admin/serviceaccounts) Permissions page, create a service account

<figure><img src="/files/2747c44d1c4201c0bb6fcc506e0dd85792f8086b" alt=""><figcaption></figcaption></figure>

* On the service account management page, find the service account you just created and click`Key`and create a new JSON-format key

<figure><img src="/files/94e9a3256e81f8bddd1012be6fdd933bf9180f94" alt=""><figcaption></figcaption></figure>

* After creation succeeds, the key file will be automatically saved to your computer in JSON format, please **keep it safe**

## 3. Configure Vertex AI in Cherry Studio

* Select the Vertex AI provider
* Fill in the corresponding fields from the JSON file

<figure><img src="/files/41624de6690f2bdd4b2410ecfc37f88b6b75b13b" alt=""><figcaption></figcaption></figure>

Click Add [Model](https://console.cloud.google.com/vertex-ai/model-garden), and you can happily start using it!


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