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

1696

Output Tokens

144

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 task is to determine the next action based on the provided trajectory and scratch pad. The scratch pad indicates that all steps have been successfully completed, including receiving user preferences, searching and reading emails, checking the calendar for conflicts, and creating the calendar event with a reminder. The current step is labeled as 'Final check', and the progress shows 'Step 6 of 6. Task complete.' Since all goals are met and the task is marked as complete, there are no further actions required. Therefore, the final answer is that no further action is needed.

Response: No further action is needed. The task is complete.