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

1827

Output Tokens

127

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 to determine the next action based on the trajectory and the scratch pad. The trajectory indicates that all goals have been completed: the event has been added to the calendar, a reminder has been set, and no conflicts were found. The scratch pad confirms that all steps have been successfully executed, and the task is marked as complete. Therefore, the next action is to terminate the process as the task is fully completed.

Response: Terminate the process.