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

1699

Output Tokens

1059

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: Reviewing the scratch pad and trajectory, all required steps have been successfully completed: the user requested a reminder 2 days before the yearly company dinner, the email was searched and found (email_12345), the event date was extracted (2025-06-15), the calendar was checked for conflicts (none found), and the calendar event was created with the appropriate reminder. The scratch pad explicitly indicates 'Progress: Step 6 of 6. Task complete.' and 'All steps successfully completed.' According to the instructions provided, once a task is complete, I should terminate the process with no need to notify the user.

Response: Terminate the process. The task has been completed successfully - the 'Yearly Company Dinner' has been added to the calendar for 2025-06-15 with a reminder set 2 days prior, and no further actions are required.