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

2943

Output Tokens

169

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: First, I understood the user's request to set a reminder for the upcoming event. Then, I referred to the scratch pad to find the event details, including the date (June 15, 2025) and the reminder preference (two days before the event). I used the 'calendar' tool to set the reminder. I double-checked the results to ensure that the reminder was set correctly.

Response: The next action is to set a reminder for the 'Yearly Company Dinner' event two days before the event. The event is scheduled for June 15, 2025. The reminder will be set on June 13, 2025.