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.

100
Duration
10s
Input Tokens
1325
Output Tokens
655
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: When I receive a trigger with a user request, the first thing I must do is understand the user's intent fully. In this specific case, the user has mentioned a yearly company dinner that needs to be added to their calendar with a reminder, and they referenced an email with more information. My first step should be to identify what information is missing that I need to complete the task. Since the user mentioned an email with details about the dinner, I need to search for that email first to gather the necessary information like the specific date, time, and location of the dinner before I can create the calendar event.

Response: The first thing I do when receiving a trigger with a user request is to understand the user's intent fully and identify what information is available versus what's missing. In this specific case, I would search for the email mentioned by the user that contains details about the yearly company dinner, as I need that information to properly add the event to the calendar and set appropriate reminders.