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

1563

Output Tokens

929

Cost

$0.00

Context

Input

USER INTERRUPTION: The user says, "Actually, never mind about the reminder — just make sure the company dinner is on my calendar."  What do you do to adapt your plan?

Expected output

I will revise the plan by removing the reminder step entirely, then proceed to: (1) search and read the relevant email to obtain the dinner date, (2) check for calendar conflicts, (3) create the event with calendar.create_event **without** the reminder_days_before parameter, and (4) inform the user of any conflicts and confirm the event has been added.  What matters is that the plan is explicitly updated and no reminder is scheduled.

Model output

Reasoning: I need to adapt my plan based on the user's interruption. Originally, I was in the process of setting up both the company dinner event on the calendar AND a reminder. Now the user has clarified they only want the dinner on their calendar without the reminder. I should update my scratch_pad to reflect this change and proceed with the core task of finding the company dinner information and adding it to the calendar, skipping the reminder portion entirely.

Response: I understand the change - I'll focus solely on adding the company dinner to your calendar without setting a reminder. Let me search for the dinner information in your emails to ensure I have all the correct details before adding it to your calendar.