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

21s

Input Tokens

2492

Output Tokens

296

Cost

$0.00

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: 
    1. **Task Recap**: The user requested adding the 'Yearly Company Dinner' to their calendar with a 2-day reminder. The event date (2025-06-15) was confirmed via email, and no calendar conflicts exist.
    2. **Next Step**: The logical next action is to create the calendar event with the reminder using the `calendar.create_event` tool. All prerequisites (date validation, conflict check) are satisfied.
    3. **Parameters**:
       - Event Name: 'Yearly Company Dinner'
       - Date: '2025-06-15'
       - Reminder: 2 days before
    4. **Validation**: No further user input is needed as the details are confirmed. The action aligns with the user’s request and trajectory progress.
    

Response: {"tool_use": {"recipient_name": "calendar", "parameters": {"action": "create_event", "event_name": "Yearly Company Dinner", "date": "2025-06-15", "reminder_days_before": 2}, "thought": "Executing the creation of the calendar event with a 2-day reminder as requested. All prerequisites (date confirmation, no conflicts) are met."}}