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

1686

Output Tokens

231

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 been given a task to look at the trajectory and scratch pad to determine the next action. Reviewing the context: The trigger was a user request to add the 'yearly company dinner' to the calendar with a reminder 2 days before. The trajectory shows that all necessary steps have been completed: the email was searched and read to extract the event date (2025-06-15), calendar was checked for conflicts (none found), and the event was successfully created with the reminder set. The scratch pad confirms that all goals are completed and states 'Task complete' at step 6 of 6. Since the task is fully completed as per the instructions (which state to terminate the process once complete with no need to notify the user), there is no next action required.

Response: The task is complete. All goals have been achieved: the 'Yearly Company Dinner' event has been created on 2025-06-15 with a reminder set 2 days prior, and no conflicts were found. No further action is needed.