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

1476

Output Tokens

131

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 user's request is to add the yearly company dinner to their calendar with a reminder. Since the specific date and details of the event are not provided in the message, the first step is to locate the email containing the event details. Using the 'email' tool to search for emails related to 'company dinner' will help retrieve the necessary information. Once the email is found and its content is read, the date can be extracted and used to create the calendar event with a reminder.

Response: Search for the relevant email using the query 'company dinner'.