Scalable voice agent design with Amazon Nova Sonic: multi-agent, tools, and session segmentation

This article explains how to design scalable voice agents using Amazon Nova Sonic, Bedrock AgentCore, and Strands framework, addressing latency and coordination challenges.

• Three architectural patterns: tool-driven agents, sub-agents as tools, and session segmentation
• AgentCore Gateway exposes business logic as tools for direct Nova Sonic invocation with low latency
• Sub-agent pattern delegates complex tasks to autonomous agents with their own reasoning capabilities
• Session segmentation creates focused conversation phases with minimal tool sets and specific prompts
• Sub-agents should use smaller models like Nova Lite to reduce latency while maintaining quality
• Prefetch data after authentication and parallelize independent tool calls for faster responses
• Use filler phrases to mask tool latency and keep conversations feeling natural
• Minimize tool count per session to reduce model reasoning overhead

The article provides practical patterns for building responsive voice assistants by decomposing large agents into specialized, reusable components with clear security boundaries.