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 – openai/gpt-4.1-mini Task | Opper AI

Input Tokens

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Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: The user requested to add the yearly company dinner to their calendar and set a reminder two days before the event. So far, the system has successfully searched the user's emails, identified the correct email, extracted the event date (2025-06-15), and verified there are no conflicting events on that date. The next logical step is to create the calendar event for the yearly company dinner on 2025-06-15 and set a reminder two days before (i.e., on 2025-06-13). This action will satisfy the user's request fully by adding the event and the reminder. Hence, the next step is to execute the calendar tool's 'create_event' action to add this event with the specified reminder.

Response: The next step is to create the calendar event "yearly company dinner" scheduled on 2025-06-15 and set a reminder two days before. I will proceed to add this event with the reminder to the user's calendar.