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

1711

Output Tokens

177

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 stated that three days before the event is a suitable time for a reminder. My next action is to search the user's emails to find information about the yearly company dinner. I will then read the email to extract the event details, add the event to the calendar, and set a reminder for three days before the event.

Current step: Search user's emails for the yearly company dinner date;
Remaining goals: - Read the email to extract event details;
- Add the event to the calendar and check for conflicts;
- Notify the user if conflicts exist;
- Add the reminder as per user preference.


Response: Searching user's emails for the yearly company dinner date.