The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. ... Google AI Studio is the fastest way to start building with Gemini, our next generation family of multimodal generative AI models.

Get started with the Gemini API through this quickstart guide. This documentation highlights the three types of text prompts available via Google AI Studio including freeform, structured and chat prompts.

1 week ago - The fastest path from prompt to production with Gemini

Build with Gemini 2.0 Flash, 2.5 Pro, and Gemma using the Gemini API and Google AI Studio.

4 days ago - A single unified endpoint for Gemini models and agents with server-side state, background execution, tool combination and multimodal generation. ... This content is generated by Google AI.

May 19, 2026 - We recommend using this API for access to all the latest features and models. ... This page describes how to use Google AI Studio to quickly build (or "vibe code") and deploy apps that test out the latest capabilities of Gemini like Nano Banana and the Live API.

April 16, 2025 - Refined prompting interface: Enjoy a cleaner "Studio" workspace with a persistent top action bar for common tasks. Dedicated developer dashboard: Quickly access API keys and the changelog via the new "Dashboard" tab. Sorry, your browser doesn't support playback for this video · To go beyond simple prompting and accelerate your path from prototype to production with the Gemini API, we've revamped the Starter Apps experience. It now features native code editing so you can build within Google AI Studio.

May 12, 2026 - We recommend using this API for access to all the latest features and models. ... Google AI Studio lets you quickly try out models and experiment with different prompts. When you're ready to build, you can select "Get code" and your preferred programming language to use the Gemini API.

1 week ago - Every Gemini API key is associated with a Google Cloud project. Google Cloud projects manage billing, collaborators, and permissions. Google AI Studio provides a lightweight interface to access these projects.

In Android Studio, go to File (Android Studio on macOS) > Settings > Tools > AI > Model Providers and click Gemini. Click Get a Gemini API key to open Google AI Studio and retrieve or create your API key.

December 8, 2025 - The API key is the access identity for all Gemini requests. It links usage to a Google Cloud project and controls access. In Google AI Studio, the option to create a key starts a guided setup.

2 weeks ago - Test prompts, manage your API keys, monitor usage, and build prototypes. ... Ask questions and find solutions from other developers and Google engineers. ... Find detailed information about the Gemini API in the official reference documentation.

2 weeks ago - The Interactions API is now generally available. We recommend using this API for access to all the latest features and models. ... Google AI Studio lets you to deploy your full-stack applications directly from Build Mode.

A tutorial on how to build an app with the Gemini API in Firebase Studio, either by starting from a template or by adding the API to an existing application.

Experiment, prototype, and deploy. Google AI Studio is the fast path for developers, students, and researchers who want to try Gemini models and get started building with the Gemini Developer API.

May 29, 2026 - Gemini API quickstart: Python Flask App running with the Google AI Gemini API, designed to get you started building with Gemini's multi-modal capabilities · Multimodal Live API Web Console: React-based starter app for using the Multimodal Live API over a websocket · Fullstack Langgraph Quickstart: A fullstack application using a React frontend and a LangGraph-powered backend agent · Google AI Studio Starter Applets: A collection of small apps that demonstrate how Gemini can be used to create interactive experiences

You can also use the HTTP Request node to query data from any app or service with a REST API. ... To set up Google AI Studio (Gemini) integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Google AI Studio (Gemini) to query the data you need using the API endpoint URLs you provide.

1 week ago - The specific steps vary depending on the tool (for example, Gemini CLI, VS Code with Gemini Code Assist, or Cursor) but generally involve updating a configuration file for your tool to include the server URL (https://developerknowledge.googleapis.com/mcp) and the necessary authentication method. You can authenticate using Application Default Credentials (ADC) or an API key from your Google Cloud project.

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1 week ago - Configure Google's Gemini models with support for text, images, and video inputs through Google AI Studio API for comprehensive multimodal LLM testing and evaluation