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 – cerebras/qwen-3-32b 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: The user has canceled the reminder request, so I must adjust the plan by removing the step to set a reminder. The remaining goals are to search emails for the dinner date, extract the event details, and add it to the calendar. I will verify the event is added without a reminder and check for conflicts. The key action now is to locate the dinner date via the email tool and proceed with creating the event.

Response: Adapting to the user's update: The company dinner will be added to your calendar without a reminder. I will search your emails for the event details, confirm the date, and schedule it immediately.