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

2045

Output Tokens

352

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:

1. The user requested adding a yearly company dinner to their calendar with a reminder 2 days before
2. The agent has successfully completed all necessary steps:
   - Searched emails and found the relevant email (email_12345)
   - Read the email and extracted the event date (2025-06-15)
   - Checked the calendar for conflicts (none found)
   - Created the calendar event 'Yearly Company Dinner' on 2025-06-15
   - Set a reminder for 2 days before the event

3. The scratch pad clearly indicates:
   - Current step: Final check
   - Progress: Step 6 of 6. Task complete.
   - All steps successfully completed
   - All relevant information stored in memory (event_date, reminder_days, email_id, calendar_event_id)

4. According to the instructions: 'Once a task is complete you should terminate the process, no need to notify the user.'

Since all goals have been accomplished and the task is complete, the next action should be to terminate the process.

Response: TERMINATE - The task has been completed successfully. All steps have been executed: the yearly company dinner event has been added to the calendar on 2025-06-15 with a reminder set for 2 days before. No further action is required.