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

1697

Output Tokens

323

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 trajectory and scratch pad indicate that all required steps (searching and reading the email, extracting the date, checking for conflicts, and creating the calendar event with a two‑day reminder) were completed successfully. The task is marked as complete, so the next action is none.

Response: No further action is required – the event has been successfully created and a reminder set.