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

1833

Output Tokens

162

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: Given the trajectory and scratch pad, I can see that the user requested a reminder for the yearly company dinner. I located the email with the details, extracted the date, checked the calendar for conflicts, created the event, and set a reminder for 2 days before. The event 'Yearly Company Dinner' was added to the calendar on 2025-06-15 and no conflicts were found. The final step is to confirm that all actions have been completed and there are no issues to address.

Response: The task of adding a reminder for the yearly company dinner has been completed successfully. You may proceed with any other tasks or requests.