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

1760

Output Tokens

192

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 trajectory shows that all required steps have been completed: the user's request was understood, the email with event details was found and read, the event date (2025-06-15) was extracted, calendar conflicts were checked and none were found, the calendar event was created, and a reminder was set for 2 days before the event. The scratch pad confirms 'Step 6 of 6. Task complete.' and 'All steps successfully completed.' Since the task is complete, the next action is to terminate — no further tool calls or steps are needed.

Response: The yearly company dinner event has been successfully added to your calendar on 2025-06-15, with a reminder set for 2 days before (i.e., 2025-06-13). No conflicts were found. The task is complete.