Amazon Nova 2 Sonic Enables Text-to-Voice Agent Migration

According to the AWS blog post, Amazon Web Services published a step-by-step guide showing how to migrate a traditional text agent into a conversational voice assistant using Amazon Nova 2 Sonic. The post enumerates differences between text agents and voice assistants across input modality, response style, latency budget, turn-taking, and transport. It describes design priorities for different verticals and links to a Nova sample repository that the blog states works with AI IDEs such as Kiro and Claude Code to convert text agents into voice agents automatically.

Per the AWS blog post, key technical shifts when moving to voice include replacing stateless HTTP request-response flows with bidirectional streaming for real-time audio, implementing voice activity detection and barge-in handling for turn management, and reformatting responses into short spoken prompts with confirmation loops rather than long paragraphs. The post covers reuse patterns, including sub-agents and tool chains, and discusses adapting system prompts and response generation for spoken output.

Industry-pattern observations: Migrating text-first agents to voice typically requires reworking latency-sensitive components, adding robust streaming and VAD infrastructure, and rethinking output granularity. Practitioners often trade richer on-screen formatting for bite-sized spoken responses and must instrument conversational state to handle interruptions and confirmations.

Monitor integration points between your inference stack and real-time audio transport, latency and cost implications of persistent streaming connections, and how sample repos and IDE integrations (for example, the Nova sample with Kiro/Claude Code) support end-to-end testing. Also watch for UX testing needs around barge-in, fallback to text, and audio quality.