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's request indicates that they no longer require a reminder for the company dinner and only want to ensure it is added to their calendar. Therefore, I will adjust my initial plan accordingly. Since I previously asked the user how many days in advance they want a reminder, I can omit that action and focus on adding the dinner event to their calendar while checking for any potential conflicts. I will utilize the email search tool to find the details of the company dinner date before creating the calendar event. It is crucial to validate that there are no conflicts before adding the event.

Response: I will disregard the reminder request and proceed to search for the email containing the details of the company dinner. Once I locate the event date, I will add it to your calendar and ensure there are no existing conflicts.