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.

100
Duration
18s
Input Tokens
1567
Output Tokens
541
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's latest message cancels the reminder request. Instead of waiting for the user's input on reminder days, I will adjust my plan by skipping the reminder step entirely. I will proceed directly with the process of confirming the event details from the email (searching and reading the email for specifics) and then adding the company dinner to the calendar without a reminder. This ensures that the user's current instruction is followed and avoids unnecessary clarification regarding reminders.

Response: I will adjust my plan accordingly: I'll skip the reminder step and focus on retrieving the yearly company dinner's details from your email and add the event to your calendar without setting any reminder.