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

1617

Output Tokens

494

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 replied 'Three days before is fine', which means they want the reminder set 3 days before the yearly company dinner. According to the scratch pad, the agent was waiting for this user response. Now that the reminder preference (3 days before) has been confirmed, the next step in the plan is to search the user's emails to find information about the yearly company dinner, specifically to extract the event date and details. I will use the email search tool with a relevant query to locate emails containing information about the yearly company dinner.

Response: Thank you for confirming! You would like a reminder 3 days before the yearly company dinner. Now I will search your emails to find the details about the yearly company dinner, including the date and other important information.