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

1999

Output Tokens

291

Cost

$0.02

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: Looking at the trajectory and scratch pad, the agent has completed all the necessary steps: 1) Received the user's request, 2) Searched emails for 'yearly company dinner', 3) Read the email and extracted the event date (2025-06-15), 4) Checked the calendar for conflicts on that date (none found), 5) Created the calendar event 'Yearly Company Dinner' on 2025-06-15 with a reminder set 2 days before. The scratch pad confirms 'Step 6 of 6. Task complete.' and all completed goals are listed. According to the instructions, once a task is complete, the agent should terminate the process with no need to notify the user. Therefore, the next action is to terminate/conclude the process.

Response: The next action is to **terminate the process**. All goals have been successfully completed: the email was found and read, the event date was extracted (2025-06-15), no calendar conflicts were detected, and the calendar event 'Yearly Company Dinner' was created on 2025-06-15 with a reminder set 2 days before. As per the instructions, since the task is complete, the agent should terminate the process without needing to notify the user.