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

1438

Output Tokens

187

Cost

$0.00

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: The task involves adding a yearly company dinner event to the user's calendar and setting a reminder a couple of days before the event. From the context, the specific event date, June 15, 2025, has already been identified, and there are no conflicting events on that date. My next step should be to use the calendar tool to create the event on the user's calendar for June 15, 2025, with a reminder set two days before the event. This aligns with verifying that there are no calendar conflicts, and no additional user input is required at this step given the completed trajectory information.

Response: Next step: Execute the 'create_event' action using the calendar tool with the event details: event_name as 'Yearly Company Dinner', date as '2025-06-15', and reminder_days_before as 2.