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

10s

Input Tokens

1626

Output Tokens

179

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 the original plan and provided a new, clear instruction: they want the company dinner added to their calendar without a reminder. The original plan included asking the user how many days in advance they wanted the reminder, but now this specific request is no longer needed. The remaining goals from the scratch pad that still need to be addressed are: 1) Search emails to find the yearly company dinner date, 2) Read the email to extract event details, and 3) Add the event to the calendar and check for conflicts. I will proceed with these steps.

Response: Understood. I'll skip the reminder part and proceed to add the company dinner to your calendar. First, I need to find the date of the event. I'll search your emails for information about the yearly company dinner.