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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Duration

Cost

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: I have reviewed the user's request to add the yearly company dinner to their calendar with a reminder set for a couple of days before the event. Based on the context provided, the event date has already been extracted as 2025-06-15 from an email search, and it has been verified that there are no conflicting events on that date. My next step is to create the event in the user's calendar and set a reminder for 2 days prior, as requested. I will use the 'calendar' tool with the 'create_event' action to accomplish this. I will name the event 'Yearly Company Dinner' and set the date to 2025-06-15 with a reminder 2 days before. After executing this action, I will confirm that the event and reminder have been successfully added to ensure the task is completed as per the user's intent. If any issues arise or if additional details are needed, I will use the 'request_user_input' tool to ask for clarification. My goal is to ensure clarity, correctness, and user satisfaction by systematically following these steps.

Response: My next step is to use the 'calendar' tool to create an event titled 'Yearly Company Dinner' on 2025-06-15 with a reminder set for 2 days before the event. I will execute this using the 'create_event' action with the parameters: event_name='Yearly Company Dinner', date='2025-06-15', and reminder_days_before=2. Once completed, I will verify the event and reminder are correctly added to the calendar.