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

1698

Output Tokens

775

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 all the required steps for the user's request have been completed:

1. The user requested to add the yearly company dinner to their calendar with a reminder a couple days before.
2. The agent searched emails and found the relevant email (ID: email_12345).
3. The event date was extracted: 2025-06-15.
4. The calendar was checked for conflicts on that date - none were found.
5. The calendar event 'Yearly Company Dinner' was created on 2025-06-15 with a reminder set 2 days before.

The scratch pad shows:
- Current step: Final check
- Progress: Step 6 of 6
- Notes: 'All steps successfully completed. Task complete.'

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

Therefore, no further action is needed. The task has been successfully completed.

Response: No action needed. The task is complete - the yearly company dinner event has been successfully added to the calendar on 2025-06-15 with a reminder set 2 days before.