Get started with the Gemini API using the Vertex AI in Firebase SDKs


This guide shows you how to get started making calls to the Vertex AI Gemini API directly from your app using the Vertex AI in Firebase SDK for your chosen platform.

Prerequisites

Step 1: Set up a Firebase project and connect your app to Firebase

If you already have a Firebase project and an app connected to Firebase

  1. In the Firebase console, go to the Build with Gemini page.

  2. Click the Vertex AI in Firebase card to launch a workflow that helps you complete the following tasks. (Note that if you see a tab in the console for Vertex AI, then these tasks are complete.)

  3. Continue to the next step in this guide to add the SDK to your app.

If you do not already have a Firebase project and an app connected to Firebase


Step 2: Add the SDK

With your Firebase project set up and your app connected to Firebase (see previous step), you can now add the Vertex AI in Firebase SDK to your app.

Step 3: Initialize the Vertex AI service and the generative model

Before you can make any API calls, you need to initialize the Vertex AI service and the generative model.

When you've finished the getting started guide, learn how to choose a Gemini model and (optionally) a location appropriate for your use case and app.

Step 4: Call the Vertex AI Gemini API

Now that you've connected your app to Firebase, added the SDK, and initialized the Vertex AI service and the generative model, you're ready to call the Vertex AI Gemini API.

You can use generateContent() to generate text from a text-only prompt request:

What else can you do?

Learn more about the Gemini models

Learn about the models available for various use cases and their quotas and pricing.

Try out other capabilities of the Gemini API

Learn how to control content generation

You can also experiment with prompts and model configurations using Vertex AI Studio.


Give feedback about your experience with Vertex AI in Firebase