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

569

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 specified that a reminder three days before the event is acceptable. The next step in the plan is to search for the email containing information about the yearly company dinner to extract the event date. Using the 'email' tool's 'search_emails' action with a query related to the event (e.g., 'yearly company dinner') will identify relevant emails. After retrieving the necessary details, the agent can proceed to create the calendar event and set the reminder as requested.

Response: Search the user's emails for the subject or content related to the yearly company dinner to extract the event date and details.