Build a local voice agent with Red Hat OpenShift AI

This blog post provides a comprehensive guide on building a local voice agent using Red Hat OpenShift AI, outlining practical architecture choices, model selection, and implementation lessons. It covers the integration of speech-to-text and text-to-speech processing, agent collaboration, and performance measurement, while also highlighting the need for observability and safety mechanisms in AI applications. The author shares personal insights and optimizations that contribute to the agent's functionality, making it a valuable resource for developers interested in voice technology.