✨ What makes Gemini 2 so practically useful? (Part 3): Google GenAI SDK

Ready to build with Gemini 2? 🤔 Part 3 of our series dives into the key: the Google GenAI SDK! 🔑

The SDK comes with Gemini 2. Think of it as the ultimate developer toolkit, simplifying how you create cutting-edge GenAI applications.

Why it's a game-changer:

 ✨ Streamlined Dev: Takes the complexity out of working with powerful models like Gemini and Imagen

 ↔️ Unified Workflow: Seamlessly move from prototyping in Google AI Studio to production on Vertex AI / Vertex AI Express. 

🌐 Multi-Language: Supports Python, Go, JavaScript, Java!

Getting started

Start with the installation for Python, as below:

Then follow the below 4 easy steps:

When creating a client (step 2 above), you set the following environment variables for the API service that you're working with:

• Vertex AI

• Vertex AI Express

• Google AI for Developers (AI Studio)

So, take a look, and start your journey with Gemini and the GenAI SDK. We're excited to see what you build!

✅ Learn more

• Getting started with Google GenAI SDK (code)

• Public documentation on Vertex AI

👉 In case you’re also interested in other parts of the series:

• Part 1: Performance leaps

• Part 2: Gemini 2.0 Flash