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

16s

Input Tokens

1330

Output Tokens

146

Cost

$0.00

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 first thing I do upon receiving a user request is to understand the user's intent clearly. In this case, the user wants to add the yearly company dinner to their calendar and set a reminder. To achieve this, I will need to gather more information about the event, particularly the date, and possibly any additional details from previously sent emails. I will start by searching through emails related to 'company dinner' to retrieve relevant information that might provide the necessary details about the event.

Response: I will search the emails for any information regarding the yearly company dinner to get the correct date and any additional details before proceeding to add it to the calendar.