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/gpt-5-nano Task | Opper AI

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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: Given the user confirmed 'Three days before is fine,' the immediate next step is to locate the event details from emails so we can schedule the calendar event accurately and then establish the reminder. This follows the current plan (scratch_pad) to search emails for the dinner date, read the email to extract details, check for conflicts, and finally create the calendar event with the reminder.

Response: Next action: Use the email tool to search for emails about the yearly company dinner (e.g., search query: 'yearly company dinner' or 'annual company dinner') to locate the event date, then read the most relevant email to extract the exact date and details. After obtaining the date, proceed to add the event to the calendar and set a reminder for 3 days before the event.