Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

100
Duration
15s
Input Tokens
1754
Output Tokens
128
Cost
$0.00
Context
Input
Looking at the trajectory and the scratch pad, what is the next action?
Expected output
The task is complete, the agent process will end
Model output
Reasoning: The task is to determine the next action based on the provided context, trajectory, and scratch pad. The scratch pad indicates the final check is underway, and all goals have been completed. The trajectory confirms the successful completion of all previous steps. The current cycle is 6 of 6. Therefore, the next action is to finish the final check and conclude the task.

Response: The next action is to conclude the task, as the final check is in progress and all steps have been completed successfully.