Build an AI Voice Assistant with Twilio Voice and Media Streams, Rime's Prism, and Node.js

A Twilio tutorial explains how to build a real-time AI phone assistant with Node.js, Twilio Voice and bidirectional Media Streams, and Rime’s Prism speech-to-speech model. It covers project setup, required accounts and tools, audio conversion between Twilio’s 8 kHz μ-law format and Prism’s PCM audio, Fastify WebSocket handling, TwiML call routing, configurable assistant instructions and voices, and a sample current-time tool call. The implementation manages streamed caller audio, converts and plays Prism responses, and supports interruptions by using Twilio mark and clear messages to estimate how much generated speech the caller heard before speaking over it. It also describes exposing a local server through ngrok, configuring a Twilio Voice number, testing calls, and troubleshooting common connection, audio, authentication, and turn-detection issues. An optional extension integrates Twilio Conversations, Conversation Intelligence, and Conversation Memory to transcribe calls, generate summaries and sentiment analysis, retain caller-specific notes between calls, and safely provide relevant prior context to the assistant while accounting for privacy and caller-ID limitations.

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