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

# Google Vertex Model

## Connect AI Squared to Google Vertex Model

This guide will help you configure the Google Vertex Model Connector in AI Squared to access your Google Vertex Model Endpoint.

### Prerequisites

Before proceeding, ensure you have the necessary project id, endpoint id, region, and credential json from Google Vertex.

## Step-by-Step Guide to Connect to an Google Vertex Model Endpoint

## Step 1: Navigate to Google Cloud Console

Start by logging into your Google Cloud Console.

1. Sign in to your google cloud account at [Google Cloud Console](https://console.cloud.google.com/).

## Step 2: Enable Vertex API

* If you don't have a project, create one.
* Enable the [Vertex API for your project](https://console.cloud.google.com/apis/library/aiplatform.googleapis.com).

## Step 3: Locate Google Vertex Configuration Details

1. **Project ID, Endpoint ID, and Region:**

   * In the search bar search and select "Vertex AI".
   * Choose "Online prediction" from the menu on the left hand side.
   * Select the region where your endpoint is and select your endpoint. Note down the Region that is shown.
   * Click on "SAMPLE REQUEST" and note down the Endpoint ID and Project ID
     <Frame>
       <img src="https://res.cloudinary.com/dspflukeu/image/upload/v1725470985/Multiwoven/connectors/google_vertex-model/Details_hd4uhu.jpg" />
     </Frame>

2. **JSON Key File:**

   * In the search bar search and select "APIs & Services".
   * Choose "Credentials" from the menu on the left hand side.
   * In the "Credentials" section, you can create or select your service account.
   * After selecting your service account goto the "KEYS" tab and click "ADD KEY". For Key type select JSON.
     <Frame>
       <img src="https://res.cloudinary.com/dspflukeu/image/upload/v1725470985/Multiwoven/connectors/google_vertex-model/Add_Key_qi9ogq.jpg" />
     </Frame>

## Step 3: Configure Google Vertex Model Connector in Your Application

Now that you have gathered all the necessary details enter the following information:

* **Project ID:** Your Google Vertex Project ID.
* **Endpoint ID:** Your Google Vertex Region ID.
* **Region:** The Endpoint region where your Google Vertex resources are located.
* **JSON Key File:** The JSON key file containing the authentication credentials for your service account.