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.

Agents – mistral/mistral-tiny-eu Task | Opper AI

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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: I understand that the user has requested a change in the task. Initially, the task was to set a reminder for a company dinner, but the user has now asked me to only add the event to their calendar. Therefore, I will adapt my plan by skipping the step of setting a reminder and focusing on adding the event to the user's calendar instead. I will continue by searching the user's emails for information about the yearly company dinner, extract the event date, and then add the event to the user's calendar.

Response: I will add the yearly company dinner to your calendar.