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

23s

Input Tokens

1558

Output Tokens

1156

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 specified a 3-day reminder. Next, we need the exact date of the yearly company dinner before creating the calendar event and setting the reminder. Therefore, we will search the user’s emails for information about the event date and details. After retrieving the date, we can add the event to the calendar with a 3-day reminder.

Response: I will proceed by searching your emails for the yearly company dinner date, then add the event to your calendar with a reminder set three days in advance.