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

11s

Input Tokens

1924

Output Tokens

985

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 scratch pad indicates that all goals have been successfully completed: the user's preference was noted, the relevant email was found and read to extract the date (2025-06-15), calendar conflicts were checked (none found), and the event was created with the requested reminder. The progress note explicitly states 'Task complete'. According to the instructions, once a task is complete, the agent should terminate the process without notifying the user.

Response: terminate