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

10s

Input Tokens

1754

Output Tokens

106

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 user is asking for the next action based on the provided trajectory and scratchpad. The scratchpad clearly indicates that the task is complete at step 6 of 6. All goals have been met, including creating the calendar event and setting a reminder. Therefore, no further action is required.

Response: The task is complete. The yearly company dinner has been added to the calendar with a reminder set for two days before the event.