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

1554

Output Tokens

542

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: Based on the context, I can see that I'm at step 2 of 6 in completing the yearly company dinner task. The user has just responded to my question about how many days before they want a reminder, stating 'Three days before is fine.' According to my scratch_pad, I was waiting for this user input before proceeding. The next logical step in my plan is to update my notes that I have the reminder preference (3 days before) and then move to the next action, which is to search emails for information about the yearly company dinner date.

Response: Now that I have your reminder preference (3 days before), I'll search your emails to find information about the yearly company dinner date.