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.

50
Duration
15s
Input Tokens
1330
Output Tokens
190
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 task involves determining the first step in responding to a user request trigger. Given the context, the user wants me to handle adding a company dinner to their calendar and setting reminders. Since the input is a trigger containing a user's request, the initial step is to understand the user's exact intent and gather any missing details necessary for accurate execution. To do this, I will start by asking the user for confirmation or clarification about the details of the event, such as the date, time, and reminder preferences. This approach ensures clarity before proceeding with actions like searching emails for more info or creating calendar events. Asking the user first allows me to proceed efficiently and avoid assumptions.

Response: The first thing I do is ask the user for more details about the company dinner, such as the date, time, and reminder preferences, to ensure I have all necessary information before proceeding.