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.

Duration

Input Tokens

1685

Output Tokens

158

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 trajectory and scratch pad. The scratch pad indicates that the current step is 'Final check' and notes that all steps have been successfully completed, marking the task as complete. The trajectory shows that the calendar event 'Yearly Company Dinner' has been created for the date 2025-06-15, and a reminder has been set for 2 days before the event. There are no further steps required as per the scratch pad and trajectory. The task has been fully executed and verified, so the next action is to conclude the task and terminate the process.

Response: The next action is to terminate the process as the task is complete.