An agent can finish a task and still take an inefficient path. A failed search can trigger another search. A truncated file read can lead to a command fetching the same content again. A correct final answer hides those extra steps, even though they increase latency and consume tokens . Inefficiencies create more chances for failure.

To improve an agent’s behavior, developers must understand whether a task succeeded and how the agent completed it. A success check by itself cannot explain why an agent recovered from a tool error, stopped early, or needed extra model calls.

In this tutorial, you’ll run two Hermes Agent examples with NVIDIA NeMo Relay . You’ll use the resulting traces to inspect model and tool calls, errors, retries, duration, and token use, then compare that evidence with each task’s verification result.…