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

1838

Output Tokens

112

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 and trajectory, the user has confirmed that a reminder three days before the event is acceptable. The next action in the plan is to search the user's emails to find the yearly company dinner date and details. I will use the 'email' tool to search for relevant emails about the company dinner.

Response: I will now search the user's emails for information about the yearly company dinner using the email search tool.