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

509

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: The user has interrupted with a modified request. They no longer want a reminder for the company dinner, but still want the event added to their calendar. I need to adapt my plan by: 1) Acknowledging the change in requirements, 2) Removing the reminder-related step from my plan, 3) Continuing with searching for the company dinner email to find the date, 4) Adding just the event to the calendar without setting a reminder, and 5) Still checking for calendar conflicts as planned. This simplifies my original plan but maintains the core requirement.

Response: I understand, I'll focus on adding the company dinner to your calendar without setting a reminder. I'll now search your emails to find the details about the yearly company dinner, add it to your calendar, and check for any conflicts, while skipping the reminder step as requested.