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

1500

Output Tokens

173

Cost

$0.01

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: From the context: the user requested adding the yearly company dinner to the calendar with a reminder a couple days before. The agent has already (1) found the relevant email, (2) extracted the event date (2025-06-15), and (3) verified there are no calendar conflicts. The next logical step is to create the calendar event with an appropriate reminder. Since the user said 'a couple days before' and the trajectory notes '2 days before', set reminder_days_before = 2 and proceed with the calendar.create_event tool.

Response: Next step: Use the calendar tool to create the event on 2025-06-15 titled "Yearly Company Dinner" and set a reminder 2 days before (calendar.create_event with reminder_days_before=2).