Realtime API example for local development environment

[alwell-kevin]

Summary

This example will guide developers through the process of integrating the OpenAI Realtime platform into a Node.js application that runs locally on mac (or other device) for development. It serves as a gateway for developers looking to interact with OpenAI's (supported) GPT models in real-time, using audio input and output to create a conversational assistant.

In this tutorial, developers will learn how to use WebSocket communication to connect to OpenAI's realtime API, stream audio input, and receive responses in real time. This integration provides a way to implement dynamic interactions that utilize GPT's natural language processing capabilities in audio form, making it well suited for conversational AI, live assistant applications, and other real-time use cases.

There are examples with a raw websocket as well as the latest openai node module which makes the integration more straightforward (if you're operating in node).

This code sample is also a great way to create a development environment that allows developers to test their own use cases locally, facilitating rapid prototyping and iteration.

Motivation

This example is an easy way for developers to build out functions, and other integrations into the realtime platform using websockets (a non-trivial mechanism) and the latest openai node module! Documentation of the realtime service is scarce both on the OpenAI website and in the community, so this example will help developers get started with the platform! 🚀

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[alwell-kevin]

cc @khorwood-openai for 👀 as the primary developer on the npm package.

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