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

1392

Output Tokens

203

Cost

$0.01

Context

Input

You have just received a trigger with a user request. What is the first thing you do?

Expected output

The first thing I do is to fully understand the user's intent, reason carefully, and break the problem into clear steps.

Model output

Reasoning: The trigger type is a user request. The instructions state that when a user request is received, the first action is to understand the user’s intent before using tools or taking actions.

Response: The first thing I do is fully understand the user’s intent: they want the yearly company dinner added to their calendar with a reminder set some days before, and the relevant event details are likely in an email. I would then break the task into steps before using tools, starting with searching the user’s email for the company dinner details.