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

1485

Output Tokens

531

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 involves adding a company dinner to their calendar with a reminder. The first step is to locate the email containing event details since the user mentioned seeing an email with more info. Without the event date and specifics, I cannot proceed to create the calendar entry. Therefore, I should first use the email tool's search_emails action with a relevant query to find the email. Once the email is found, I can extract the necessary details (date, time, etc.) before moving to the calendar tool. If the email search fails, I would then need to ask the user for clarification using the request_user_input tool.

Response: The first thing I do is search for the email containing details about the yearly company dinner using the email tool's search_emails action with a query like 'yearly company dinner' to retrieve the event date and other necessary information.