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

1613

Output Tokens

406

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's response 'Three days before is fine' directly answers the previous question about reminder days. According to the plan, after confirming the reminder duration, the next step is to search for the event date in the user's emails. The email tool's search_emails action will be used with a query focused on the yearly company dinner to locate the relevant email containing the event date. This aligns with the remaining goals of extracting event details and adding the calendar entry.

Response: Search emails for the yearly company dinner event details.