In this short introductory course, we’ll learn how to install and get started with `tau.js` to create and work with realtime websocket-based GPT connections to 4o realtime and mini
In this course we’ll:

– Review What Realtime GPT api is and how it differs from normal GPT
– What Tau.js is and how it helps facilitate development
– We’ll build a tau.js project from scratch with VSCode
– We’ll get to hello world with websocket-based realtime connections in under 5 minutes

What is tau.js

tau.js is a node library that greatly simplifies the Websocket API used to communicate with realtime AI models like 4o-realtime, and adds essential features like realtime voice debugging.

With tau.js, Starting a session and generating a voice response is as simple as:

import { create_session } from “@tau/core”

let session = await create_session()

await session.system(“Whenever prompted to respond, state a different teaching of the Sun Tzu.”)

await session.response()

// “The supreme art of war is to subdue the enemy without fighting.”

Why Use tau.js?

tau.js greatly reduces ramp-up time when building applications with OpenAI’s 4o-realtime and 4o-mini-realtime models.

Simple Async/Await Interface

Realtime AI sessions are based on Websockets. This is very good, as websockets are extremely fast and they’re a critical part of delivering a fast user experience. But Websockets are hard to develop for and tend to create messy code that can’t be maintained.

tau.js solves this problem by black-boxing away all websocket logic and instead providing a dead-simple async/await API with which to build powerful realtime apps.

Who this course is for:

• Intermediate developers interested in AI
• JavaScript / Python Developers