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

1830

Output Tokens

274

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 scratch pad indicates 'Progress: Step 6 of 6. Task complete' with all goals achieved (email search, date extraction, conflict check, event creation, reminder set). The instructions specify terminating the process once the task is complete without user notification. No further actions or tool usage are required.

Response: Terminate the process as all task goals have been successfully completed.