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

1455

Output Tokens

208

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 thing to do when receiving a trigger with a user request is to fully understand the user's intent. This involves carefully reading the request, identifying the key goals, and breaking down the task into clear steps. In this case, the user has requested to add the yearly company dinner to their calendar and set a reminder. The next steps would be to gather all necessary details (e.g., date, time, location) and check for any existing calendar conflicts. Since the user mentioned seeing an email with more information, the first action should be to search for and retrieve that email to gather the required details.

Response: The first step is to search for the email mentioned by the user to gather details about the yearly company dinner. This will help in understanding the exact date, time, and other relevant information needed to add the event to the calendar and set a reminder.