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

1571

Output Tokens

162

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 current task flow by changing their request. Initially, the task was to add the company dinner to the calendar and set a reminder. The user has now asked to disregard the reminder part and focus only on adding the company dinner to the calendar. The agent was in the process of asking for the number of days before the event to set a reminder. Given the new instruction, the agent should adapt by stopping the reminder setup process and proceeding to search for the company dinner details in the emails to add the event to the calendar.

Response: I will now search for emails related to the company dinner to find the event date and details, and then add the event to the calendar without setting a reminder.