Amazon has published a technical guide on converting text-based chat agents into voice assistants using Amazon Nova 2 Sonic. The document outlines the technical steps and design choices required for the transition. It compares the requirements of text and voice systems and explains how to adapt system prompts for voice interactions. Amazon also addresses common concerns such as tool reuse and the role of sub-agents in voice workflows.
The guide breaks down the architecture of a voice agent into clear components. It explains how to handle input processing, intent recognition, and response generation in a voice-first environment. The document also provides recommendations for different use cases, including customer service and internal support. Amazon emphasizes the importance of testing and iteration during migration.
Amazon notes that voice assistants require adjustments in system prompts to sound natural. The guide provides examples of prompt adaptations for voice scenarios. It also discusses the reuse of existing tools and sub-agents designed for text agents. Amazon highlights the need for robust error handling and fallbacks in voice interactions.
The company provides a step-by-step approach to migrate a text agent to a voice assistant. It includes code snippets and best practices for implementation. Amazon warns about common pitfalls such as latency and poor voice quality. The guide is aimed at developers and technical teams planning to expand their AI systems into voice channels.
Source: aws.amazon.com