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
14s
Input Tokens
1754
Output Tokens
99
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 trajectory indicates that the event has been added to the calendar with a reminder set, and all previous steps have been successfully completed. The current step is a final check, implying that no further action is required. Therefore, the next action is to terminate the process, as the task is complete.

Response: No action is required. The task is complete.