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

1705

Output Tokens

174

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 responded with 'Three days before is fine.' This indicates their preference for setting the reminder three days before the event. According to the current plan and the context, the next action is to search the user's emails to find the yearly company dinner date. This is necessary to extract the event details and proceed with adding the event to the calendar and setting the reminder. The tools available include 'email', 'calendar', and others, but the immediate next step is to use the 'email' tool to search for relevant emails.

Response: The next action is to search the user's emails to find the yearly company dinner date using the 'email' tool with a query related to the event.