Opper

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.

Agents – openai/o1 Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

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 provided their preference of a three-day-early reminder. According to the plan, after receiving this preference, the next action is to retrieve the event date by searching through relevant emails. This ensures we have the correct details before creating the calendar event and setting the reminder.

Response: The next step is to search the user’s emails for details about the yearly company dinner so we can determine the correct date. Once we have the date, we’ll add the event to the calendar and set a reminder three days before, as requested.