Add Token Streaming and Interruption Handling to a Twilio Voice OpenAI Integration

This tutorial guides developers on how to integrate ConversationRelay from Twilio with OpenAI's Large Language Model for building real-time, human-friendly voice applications. The integration aims to improve latency and provide a fluid interaction by using token streaming, which allows the speech to start before the AI finishes generating a response. To achieve this, additional code is added to track the conversation and handle interruptions more elegantly, allowing the AI to have context for where the interruption occurred. The tutorial also covers prerequisites, such as setting up Node.js, Twilio phone numbers, and OpenAI accounts, and provides step-by-step instructions on how to test the application. By following this tutorial, developers can create a more robust voice conversation with AI that is better equipped to handle interruptions and provide a seamless user experience.