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

14s

Input Tokens

1932

Output Tokens

340

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 AgentX has successfully completed all the required steps for the user's request:

1. The user requested to add a yearly company dinner to their calendar with a reminder 2 days before
2. AgentX searched emails and found the relevant information (email_12345)
3. Extracted the event date: 2025-06-15
4. Checked for calendar conflicts (none found)
5. Created the calendar event 'Yearly Company Dinner' on 2025-06-15 with a 2-day reminder
6. The scratch pad shows 'Progress: Step 6 of 6. Task complete' and 'All steps successfully completed'

The trajectory indicates that all goals have been accomplished:
- Found the email with event details
- Extracted the correct date
- Verified no conflicts
- Created the event with the requested reminder

Since the task is marked as complete in the scratch pad and all objectives have been met, the next action should be to terminate the process as instructed.

Response: TERMINATE

The task has been completed successfully. All requested actions have been accomplished:
- Found the yearly company dinner email
- Added the event to calendar on 2025-06-15
- Set reminder for 2 days before the event

No further action is needed.