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 initial plan to add the company dinner to their calendar, requesting instead that the dinner remains on the calendar without additional reminders or changes. My initial intent was to search for related email information, extract event details, and update the calendar accordingly. Given the user's clear statement to disregard the previous instructions, I need to adapt by acknowledging their request and ensuring their instructions are understood and followed. Since the user wants the dinner to stay on the calendar as is, the appropriate response is to confirm their instruction and avoid taking further action regarding the event or reminders.

Response: Understood. I will keep the company dinner on your calendar as is, without adding any reminders or modifications.