You are building a customer support agent in Azure AI Foundry that uses a large reasoning model. Users complain that responses feel slow because the full answer only appears after the model finishes generating, which can take several seconds for long replies. The backend already uses the Foundry Agent Service SDK. Business requirements state that perceived responsiveness must improve without changing the model or reducing answer quality. What is the most appropriate change to the way the agent consumes model output?