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

1662

Output Tokens

504

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 provided the reminder preference: 'Three days before is fine.' This answers the question the agent asked. The next step in the plan is to search the user's emails for information about the yearly company dinner to extract the event date. According to the available tools, the 'email' tool with action 'search_emails' should be used with a query like 'yearly company dinner' or 'company dinner'. After retrieving the email, the agent will read it to get the date and then proceed to create the calendar event with the reminder set to 3 days before.

Response: The next action is to use the email tool to search for emails related to the yearly company dinner, using a query such as 'yearly company dinner', in order to find the event date.