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

1725

Output Tokens

501

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 modified their request, removing the need for a reminder. My plan must adapt by skipping the reminder setup and focusing solely on adding the company dinner event to the calendar. First, I need to find the event date by searching emails. Once the date is confirmed, I'll create the calendar event without a reminder. I must still check for scheduling conflicts and notify the user if any exist. The scratch pad should be updated to reflect this change in priorities.

Response: I'll adjust the plan to prioritize adding the company dinner to your calendar without a reminder. Next, I'll search your emails for the event details, confirm the date, create the calendar entry, and check for conflicts. Let me start by searching for emails about the yearly company dinner.