Google Vertex Model

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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.

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Prerequisites

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

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

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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.

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Step 2: Enable Vertex API

• If you don’t have a project, create one.
• Enable the Vertex API for your project.

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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

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.

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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.