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

18s

Input Tokens

1634

Output Tokens

495

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 successfully completed. The scratch pad indicates that we are at the final check, and the progress note states 'Step 6 of 6.' Given that the event has been added, the reminder set, and all verifications completed without conflicts, no additional actions are required. Therefore, the next action is to terminate the process.

Response: Terminate the process.