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

1567

Output Tokens

487

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 changed their instructions by removing the request for a reminder. Therefore, we no longer need to add any notification days before the event. Instead, we will simply proceed to find the date of the company dinner (by searching the user’s emails), confirm details, and create the calendar event without a reminder. After confirming the details, we will add the event to the calendar and check for any conflicts. If conflicts exist, we’ll notify the user; otherwise, the plan completes successfully.

Response: Understood. We will continue with the plan to search for the dinner information, confirm the date, and then add the company dinner to your calendar with no reminders set.