Welcome to the JavaScript/TypeScript section of the Gemini Cookbook!
This folder contains code samples and quickstart notebooks designed to help you get up and running with Gemini models using the JavaScript/TypeScript SDK.
While you can explore the code samples directly here, we highly recommend opening them in AI Studio for the best experience. AI Studio lets you experiment with the code interactively without any setup required.
This is a growing collection of fun and practical examples demonstrating how to interact with the Gemini API in JavaScript and TypeScript. We're starting with foundational examples, and more advanced and diverse use cases will be added soon, just like the existing Python examples in the quickstart and examples folders.
Stay tuned, more JavaScript notebooks are on the way!
| Cookbook | Description | Features | Launch | Code File |
|---|---|---|---|---|
| Get Started | A comprehensive introduction to the Gemini JS/TS SDK, demonstrating features such as text and multimodal prompting, token counting, system instructions, safety filters, multi-turn chat, output control, function calling, content streaming, file uploads, and using URL or YouTube video context. | Explore core Gemini capabilities in JS/TS | ||
| Counting Tokens | Learn how tokens work in Gemini, how to count them, and how context windows affect requests. Includes text, image, and audio tokenization. | Token counting, context windows, multimodal tokens | ||
| Image Output | Generate and iterate on images using Gemini’s multimodal capabilities. Learn to use text+image responses, edit images mid-conversation, and handle multiple image outputs with chat-style prompting. | Image generation, multimodal output, image editing, iterative refinement | ||
| File API | Learn how to upload, use, retrieve, and delete files (text, image, audio, code) with the Gemini File API for multimodal prompts. | File upload, multimodal prompts, text/code/media files | ||
| Audio | Demonstrates how to use audio files with Gemini: upload, prompt, summarize, transcribe, and analyze audio and YouTube content. | Audio file upload, inline audio, transcription, YouTube analysis | ||
| Get Started LearnLM | Explore LearnLM, an experimental model for AI tutoring, with examples of system instructions for test prep, concept teaching, learning activities, and homework help. | AI tutoring, system instructions, adaptive learning, education |