What is multi-step reasoning in LLM agents?

Multi-step reasoning is when an agent breaks a complex task into a sequence of smaller steps, executing each before moving on. Each step can involve thinking, using a tool, and observing results. This pattern enables agents to solve problems that no single LLM call could handle, like research tasks that require multiple searches and synthesis.