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

1521

Output Tokens

141

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 wants to add a yearly company dinner to their calendar and set a reminder. The trajectory indicates that the agent has already searched emails, identified the event date (2025-06-15), and verified no conflicting events exist. The next logical step is to create the calendar event with the extracted information and the requested reminder.

Response: {"tool_code": "print(calendar.create_event(event_name='Yearly Company Dinner', date='2025-06-15', reminder_days_before=2))"}