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

1728

Output Tokens

153

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 canceled their previous request and now only wants to ensure the company dinner is added to their calendar. Previously, the agent had asked for the number of days before the event to set a reminder. Now, the user has implicitly provided the reminder preference by saying 'make sure the company dinner is on my calendar'—indicating that the reminder is no longer a top priority and should instead be set based on a default or inferred value. However, before proceeding to search for event details, it is important to confirm that the agent has all necessary information to add the event accurately.

Response: Proceed to search for the company dinner event details using the email tool.