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.

Input Tokens

Output Tokens

Duration

Cost

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: Based on the context provided, I can see that as AgentX, I've already completed several key steps in handling the user's request to add the yearly company dinner to their calendar with a reminder: 1) I received the user's request, 2) I searched their emails using 'yearly company dinner' as the keyword, 3) I identified the correct email with the event details, 4) I extracted the event date (2025-06-15), and 5) I verified there are no conflicting events in the calendar for that date. The next logical step in completing this task would be to use the calendar tool to create the actual event with a reminder. Since the user requested a reminder 'a couple days before,' I should set the reminder for 2 days prior (2025-06-13). This would complete all the requirements mentioned in the user's initial request.

Response: My next step would be to use the calendar tool's create_event function to add the yearly company dinner to the user's calendar. I will create an event named 'Yearly Company Dinner' with the date 2025-06-15 and set a reminder for 2 days before (on 2025-06-13) as requested by the user. This will complete the task of adding the event to the calendar with the appropriate reminder.