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

1560

Output Tokens

136

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 responded with 'Three days before is fine.' This indicates they want a reminder three days prior to the yearly company dinner. The next step, according to the plan outlined in the context, is to search emails to find the date of the yearly company dinner. The context provides a detailed trajectory and the current state of the task, including the tools available. The agent has already asked for and received the user's preference for the reminder. Now, it should proceed to search emails for information about the company dinner.

Response: Search emails to find the date of the yearly company dinner.