Opper

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.

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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 ongoing task to change their request. Previously, they asked me to add the yearly company dinner to their calendar AND set a reminder with a specified number of days in advance. I had already asked how many days before they wanted the reminder, but now they're saying they don't want a reminder at all - just the dinner on their calendar. I need to acknowledge this change, skip the reminder portion of the task, and continue directly to finding and adding the company dinner to their calendar. I should search for emails containing information about the yearly company dinner to extract the event date and details.

Response: I understand - you've changed your mind about the reminder and just want the company dinner added to your calendar. I'll skip the reminder part and continue with finding the company dinner details. Let me search your emails for information about the yearly company dinner.