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.

100
Duration
11s
Input Tokens
1629
Output Tokens
238
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 have reviewed the trajectory and scratch pad provided in the context. The task is to determine the next action based on the current state of the process. According to the scratch pad, we are at the final check stage (Step 6 of 6), and all goals have been completed: the user's request for a reminder 2 days before the yearly company dinner has been understood, relevant emails were searched and read to extract the event date (2025-06-15), calendar conflicts were checked (none found), and the calendar event 'Yearly Company Dinner' was created with a reminder set for 2 days before the event. The notes in the scratch pad confirm that all steps were successfully completed, and the progress indicates the task is complete. Following the instructions to terminate the process once the task is complete and not to notify the user, the next action is to conclude the process without further user interaction or additional steps. Therefore, no further action is required beyond acknowledging the completion of the task.

Response: The task is complete as per the scratch pad and trajectory. No further action is required.