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

17s

Input Tokens

1558

Output Tokens

510

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 response 'Three days before is fine.' confirms the reminder preference. According to the plan, the step after receiving this input is to proceed with searching the user's emails to locate the email containing details about the yearly company dinner. Once the email is located, the agent will extract the event date and continue with creating the calendar event while ensuring no conflicts exist.

Response: The next step is to search the user's emails for the yearly company dinner details using the email search tool.