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

1690

Output Tokens

457

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 involves adding a yearly company dinner to the calendar with a reminder two days before. The trajectory shows all steps were completed: email search, event date extraction, conflict check, and event creation. The scratch pad indicates the final check is in progress. Since all goals are marked as completed and no further user input is required, the next action is to confirm task completion.

Response: Task completed. The 'Yearly Company Dinner' event has been successfully added to your calendar for 2025-06-15 with a reminder set for 2 days before the event.