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

10s

Input Tokens

1634

Output Tokens

482

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: I reviewed the trajectory, scratch pad, tools, and instructions. The scratch pad shows all required steps completed: user requested reminder 2 days before; email search found email_12345; event date extracted as 2025-06-15; calendar checked for conflicts (none); calendar event 'Yearly Company Dinner' created on 2025-06-15 with a reminder 2 days before; keys_in_memory record event_date, reminder_days, email_id, calendar_event_id. Progress is Step 6 of 6 and the note says "Task complete." Per the agent instructions, when the task is complete I should terminate the process and there is no need to notify the user. There are no missing details that require asking the user. Therefore the correct next action is to end the agent workflow (terminate the process), optionally persisting the final state/notes if that is part of system behavior.

Response: Terminate the process — task is complete and no further actions are required.