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

1351

Output Tokens

164

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 trigger is a user request regarding the yearly company dinner. The user wants it added to their calendar with a reminder, and mentioned seeing an email with more information. The first step is to fully understand the user's intent and gather necessary details. Since the user referenced an email with more info, I should retrieve that email to get accurate event details such as the date and reminder timing. Without this information, I cannot proceed safely to create a calendar event. Therefore, the first action is to search the user's emails for relevant content about the company dinner.

Response: I will first search the user's emails for information about the yearly company dinner to determine the correct date and any related details before adding the event to the calendar.