Migrating a text agent to a voice assistant with Amazon Nova 2 Sonic
Voice agents need 300ms latency and barge-in, not just a mic...
Amazon Nova 2 Sonic addresses the fundamental differences between text agents and voice assistants. Text agents deliver paragraphs with tables and links, tolerating multi-second latency with loading indicators. Voice agents require concise, conversational responses delivered in real time with sub-second latency. Nova 2 Sonic supports asynchronous tool calling, allowing the agent to continue speaking while tools run in the background, and can handle multiple tool calls in parallel. It also enables barge-in, where users can interrupt the agent mid-response, and uses voice activity detection (VAD) to manage turn-taking fluidly.
For industries like finance, healthcare, and retail, this migration is critical. A banking agent example shows text returning full account summaries with links, while a voice agent breaks information into digestible chunks with confirmation loops. The key architectural changes include moving from HTTP/REST to bidirectional streaming, implementing ultra-low latency pipelines, and designing responses for listening rather than reading. Amazon provides a sample Skill in the Nova repo that works with AI IDEs like Kiro and Claude Code to automate the conversion process.
- Voice agents require sub-second latency and bidirectional streaming, unlike text agents that tolerate multi-second waits with loading indicators
- Amazon Nova 2 Sonic enables asynchronous tool calling, parallel execution, and barge-in for natural conversational flow
- Response design shifts from paragraphs with tables to concise spoken chunks with confirmation loops for better comprehension
Why It Matters
Enables enterprises to build voice assistants that feel natural, not robotic, with real-time responsiveness and interruptibility.