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

1707

Output Tokens

427

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 current state: The task was to add the yearly company dinner to the calendar and set a reminder 2 days before. Looking at the scratch pad and trajectory, all steps have been completed successfully: 1) Found the email with event details, 2) Extracted the date (2025-06-15), 3) Verified no calendar conflicts, 4) Created the calendar event with reminder set 2 days before. The progress indicator shows 'Step 6 of 6. Task complete.' The instructions explicitly state that 'Once a task is complete you should terminate the process, no need to notify the user.' Since all goals have been achieved and there's no further action required, the appropriate next action is to terminate.

Response: terminate