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

1878

Output Tokens

295

Cost

$0.01

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: Based on the trajectory and scratch pad, all necessary steps have been successfully completed. The event date was extracted from the email, checked for calendar conflicts, and the event was created with the requested reminder. The instructions explicitly state that once a task is complete, the process should be terminated with no need to notify the user.

Response: Terminate the process.