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

18s

Input Tokens

1559

Output Tokens

174

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 responded with "Three days before is fine," indicating they want a reminder three days before the yearly company dinner event. The current progress shows that the agent has already asked the user about the reminder timing and is now ready to proceed with the next step. According to the plan, the next action is to search the user's emails to find the date of the yearly company dinner event. This step is necessary to extract the relevant event details so the agent can later add it to the calendar and set the reminder. Therefore, the appropriate next action is to initiate a search within the user's emails using relevant keywords to locate information about the yearly company dinner date.

Response: The next action is to search the user's emails for information about the yearly company dinner in order to find the event date.