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

1580

Output Tokens

146

Cost

$0.00

Context

Input

The user has replied: "Three days before is fine."  According to the plan for the yearly company-dinner task, what is the next action?

Expected output

Call email.search_emails with a query such as "yearly company dinner" (optionally including the current year) to locate the relevant email(s) containing the event details, and store the returned email_id(s) for the subsequent email.read_email step.

Model output

Reasoning: The user has responded with "Three days before is fine," which provides the necessary input for setting the reminder days. The next step in the plan is to search the user's emails for information about the yearly company dinner. I will use the email tool to search for relevant emails using keywords such as 'yearly company dinner' or 'company dinner' to locate the event details. Once I retrieve the relevant email, I can extract the date of the event and proceed to add it to the calendar with a reminder set three days in advance.

Response: I will now search the user's emails to find information about the yearly company dinner.