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

1351

Output Tokens

679

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 step is to analyze the incoming user request and identify the necessary actions. Since the user mentioned needing the event details from an email ("I saw some email with more info..."), I must use the email tool to retrieve the relevant information. The priority is to locate the email containing the event's date and details to ensure accurate calendar creation and reminder setup.

Response: I will first use the 'search_emails' tool with the query "yearly company dinner" to locate the specific email that contains the event details, including the date and any additional information required for scheduling.