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

1932

Output Tokens

259

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 scratch pad and trajectory, I can see that:
1. The user requested to add the yearly company dinner to their calendar with a reminder 2 days before
2. All steps have been successfully completed:
   - User's preference was received (reminder 2 days before)
   - Emails were searched and the relevant email was found (email_12345)
   - The email was read and the event date was extracted (2025-06-15)
   - Calendar was checked for conflicts (none found)
   - The calendar event was created with the reminder set for 2 days before
3. The scratch pad indicates 'Step 6 of 6. Task complete.'
4. All necessary information has been gathered and stored in memory
5. The task has been fully accomplished

According to the instructions, once a task is complete, the process should be terminated without notifying the user. Since all goals have been achieved and the calendar event with reminder has been successfully created, the next action should be to terminate.

Response: terminate