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

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: The context and scratch pad indicate that all the necessary steps to fulfill the user's request have been completed successfully. The user asked to add the yearly company dinner event to the calendar with a reminder 2 days prior. The agent has searched the user's emails, found the relevant email with the event date 2025-06-15, confirmed no calendar conflicts exist, and created the calendar event with the appropriate reminder. The scratch pad clearly states 'Task complete' and that the current step is the final check. Therefore, the next action should be to terminate the process as the task has been fully accomplished without any remaining steps or issues to resolve.

Response: The next action is to terminate the process since all tasks have been completed successfully and no further actions are needed.