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

12s

Input Tokens

1839

Output Tokens

183

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 confirmed that they want the reminder set for three days before the yearly company dinner. According to my scratch pad, I've completed step 2 (asking the user for reminder preference) and now need to proceed to the next step in my plan. The next action is to search the user's emails to find information about the yearly company dinner date. I need to use the email search tool with an appropriate query to find emails containing details about the company dinner event.

Response: Now that I know you'd like the reminder set for 3 days before the event, I'll search your emails for information about the yearly company dinner. I'll use the email search tool with the query 'yearly company dinner' to find the relevant email containing the event details and date.