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

15s

Input Tokens

1635

Output Tokens

170

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: Reviewing the context, it is clear that the user's request has been successfully fulfilled: the 'Yearly Company Dinner' event was found in the user's emails, the correct date (2025-06-15) was extracted, the calendar checked for conflicts, and the event was created with a reminder set two days before, as requested. The scratch pad states, 'Final check' and all steps are checked off as complete, with progress marked as 'Step 6 of 6. Task complete.' The instructions explicitly state that AgentX should terminate the process upon completion and does not need to notify the user after the task is fully done.

Response: No further action is needed. The task is fully complete according to the provided process; terminate the workflow.