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

1368

Output Tokens

175

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 step when receiving a user request is to thoroughly understand the user's intent. The user has mentioned adding a yearly company dinner to their calendar and setting a reminder. However, the exact date and details of the event are not provided directly in the request. To proceed, I need to retrieve the relevant email mentioned by the user to extract the necessary details. I will use the 'email' tool to search for emails related to the company dinner to gather the required information. Once the details are retrieved, I can proceed to create the calendar event and set the reminder.

Response: Use the 'email' tool to search for emails containing information about the yearly company dinner, using keywords such as 'yearly company dinner' or 'company dinner email' to locate the relevant email.