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

1437

Output Tokens

187

Cost

$0.00

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: The trajectory shows that the agent has already:
1. Understood the user’s request to add the yearly company dinner to the calendar with a 2-day reminder.
2. Searched emails for “yearly company dinner,” found the correct email, and extracted the event date (2025-06-15).
3. Verified no calendar conflicts on that date.
4. The next logical step is to create the calendar event with the reminder.

Since all prerequisites are satisfied, the immediate next action is to call calendar.create_event with event_name="Yearly Company Dinner", date="2025-06-15", and reminder_days_before=2.

Response: Call the calendar.create_event action with event_name="Yearly Company Dinner", date="2025-06-15", and reminder_days_before=2 to finalize adding the event with its reminder.