To achieve low latency and natural turn-taking dynamics in this specific Microsoft Foundry workflow, the best approach is to use real-time speech-to-text for incoming audio and text-to- speech for agent responses. Low Latency: Streaming, real-time Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines process audio chunks concurrently. This allows the system to analyze text and prepare responses while the user is still speaking. Turn-Taking Support: Real-time STT systems utilize voice activity detection (VAD) and continuous streaming. This enables the agent to instantly detect pauses, interruptions, or trailing speech to naturally shift conversational turns. Direct Reasoning Compatibility: Because your workflow requires converting input into text for reasoning (such as prompting a Large Language Model), a highly optimized text-based pipeline fits seamlessly without extra translation layers. Reference: https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/priority-processing