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

12s

Input Tokens

1558

Output Tokens

966

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: We asked the user how many days in advance they want the reminder and received their preference: 3 days. Per the planned workflow, once the reminder preference is known, the next step is to locate the event details by searching the user's emails for the yearly company dinner information to extract the event date and specifics.

Response: Search the user’s emails for the yearly company dinner using the email.search_emails tool (e.g., query: "yearly company dinner" or "annual company dinner") to find the event date and details.