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

19s

Input Tokens

1698

Output Tokens

182

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: The task is asking for the next action based on the provided trajectory and scratch pad. Looking at the scratch pad, the current step is 'Final check' and the progress shows 'Step 6 of 6. Task complete.' All goals have been completed: received user's preference, searched emails, read email, checked calendar for conflicts, and created the calendar event with reminder. The notes also state 'All steps successfully completed.' Since the task is complete and the instructions specify 'Once a task is complete you should terminate the process, no need to notify the user,' there are no further actions to take.

Response: The task is complete. All steps have been successfully executed: the 'Yearly Company Dinner' event has been created on 2025-06-15 with a reminder set 2 days before as requested.