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

11s

Input Tokens

1735

Output Tokens

907

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: Analyzing the trajectory and scratch pad reveals that all required steps have been completed successfully. The scratch pad explicitly states 'Progress: Step 6 of 6. Task complete.' and 'All steps successfully completed.' The completed goals show: (1) user preference received, (2) email searched and found, (3) email read and date extracted (2025-06-15), (4) calendar checked for conflicts (none found), and (5) calendar event created with reminder. According to the instructions, 'Once a task is complete you should terminate the process, no need to notify the user.' Therefore, no further actions are required.

Response: Terminate the process. The task is fully complete - the calendar event 'Yearly Company Dinner' has been created for 2025-06-15 with a 2-day reminder, and all verification steps have been performed.