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-4o Task | Opper AI

Input Tokens

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Output Tokens

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Context

Input

You have just received a trigger with a user request. What is the first thing you do?

Expected output

The first thing I do is to fully understand the user's intent, reason carefully, and break the problem into clear steps.

Model output

Reasoning: Given the request was triggered by a user, I first need to understand the complete request. The user wants to add a company dinner event to their calendar and requests an email search for additional details. I will use the 'email' tool to search for an email with relevant information first. Once I have details about the event, I will proceed to add it to the user's calendar using the 'calendar' tool. Throughout this task, I must ensure I search thoroughly and ask the user for any missing details if the email does not provide enough information. Additionally, I'll need to check the user's calendar to ensure there are no conflicts before scheduling the event and setting a reminder.

Response: The first step is to use the 'search_emails' action of the 'email' tool to find the email with information about the yearly company dinner. Once I fetch the email and ascertain the date and details of the company dinner, I will proceed accordingly by adding the event to the calendar and setting the desired reminder.