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

16s

Input Tokens

1698

Output Tokens

640

Cost

$0.00

Context

Input

Looking at the trajectory and the scratch pad, what is the next action?

Expected output

The task is complete, the agent process will end

Model output

Reasoning: Looking at the trajectory and scratch pad, I can see that the task has been fully completed. Let me trace through what was accomplished:

1. User requested to add the yearly company dinner to calendar with a reminder 2 days before
2. Agent searched emails using keyword 'yearly company dinner' - found email ID 'email_12345'
3. Agent read the email and extracted the event date: 2025-06-15
4. Agent checked the calendar for conflicts on 2025-06-15 - no conflicts found
5. Agent created the calendar event 'Yearly Company Dinner' on 2025-06-15 with reminder set 2 days before

The scratch pad explicitly states:
- Current step: Final check
- Progress: Step 6 of 6. Task complete
- Notes: All steps successfully completed
- A calendar event ID was generated: event_98765

All of the user's requirements have been fulfilled. According to the instructions, 'Once a task is complete you should terminate the process, no need to notify the user.'

Response: The task is complete. No further action is needed. All goals have been successfully accomplished:
- Found the yearly company dinner email
- Extracted the event date (2025-06-15)
- Verified no calendar conflicts
- Created the calendar event with a reminder 2 days before

The agent should terminate the process.