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

11s

Input Tokens

1568

Output Tokens

983

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 wants to add the 'yearly company dinner' to their calendar but has not provided the specific date or time. However, the user explicitly mentioned that they 'saw some email with more info'. Therefore, before I can schedule the event, I need to retrieve the details. The first logical step is to search the user's emails for information regarding the dinner.

Response: I will use the `email` tool, specifically the `search_emails` action, with the query "yearly company dinner" to retrieve the necessary details (date, time, and specific requirements) for the event.