Your team has deployed a multi-step generative AI agent in Azure AI Foundry that chains a retrieval tool, a summarization LLM call, and a final response-generation LLM call. Users report intermittent high end-to-end latency, but aggregate latency dashboards do not reveal which stage is responsible. You need to identify the specific step contributing to the slowdown for individual problematic requests without adding custom timing code to every function. What should you do?