Gemini API quickstart

This quickstart shows you how to get started with the Gemini API using the SDK of your choice.

Python Node.js Go Dart (Flutter) Android Swift Web

Prerequisites

Install the Gemini API SDK

Authenticate

Set up your API key

To use the Gemini API, you'll need an API key. If you don't already have one, create a key in Google AI Studio.

Get an API key

Then, configure your key.

Initialize the model

Before you can make any API calls, you need to import and initialize the model. Gemini 1.5 models are versatile and work with both text-only and multimodal prompts.

Make your first request

Generate text

What's next

Now that you're set up to make requests to the Gemini API, you can use the full range of Gemini API capabilities to build your apps and workflows. To get started with Gemini API capabilities, see the following guides:

• Text generation
• Vision
• Audio
• Long context
• Code execution
• JSON mode
• Model tuning
• Function calling
• System instructions
• Embeddings
• Safety settings
• Context caching

If you're new to working with generative AI or the Gemini API, check out the following guides, which will help you understand the Gemini API programming model:

• About generative models
• Introduction to prompt design
• Gemini model guide

For in-depth documentation of Gemini API methods and request parameters, see the guides in the API reference.