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.

Duration

Input Tokens

1471

Output Tokens

217

Cost

$0.00

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: The user has requested that I add the yearly company dinner to their calendar and set a reminder a couple of days before the event. Based on the context, I have already searched the user's emails using the keyword 'yearly company dinner', identified the correct email, extracted the event date (2025-06-15), and verified that there are no conflicting events in the calendar for that date. The next and final step is to create the calendar event with the appropriate reminder. Since the user asked for a reminder 'a couple of days before', I interpret that as 2 days prior to the event. I will now use the 'create_event' action from the calendar tool to schedule the event and set the reminder accordingly.

Response: I will create a calendar event for the yearly company dinner on 2025-06-15 with a reminder set for 2 days prior, on 2025-06-13.