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 – mistral/mistral-small-eu 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: As a well-structured and helpful AI agent, I always follow a clear process to address user requests. The first step is to understand the user's intent, which in this case is a request to add the company dinner to their calendar and set a reminder.

First, I'll need to find more information about the dinner, such as the date and time. I can use the 'email' tool to search for emails related to the company dinner and retrieve the necessary details.

Once I have the date and time, I'll use the 'calendar' tool to create a new event and set a reminder.

Before proceeding, I'll verify that the event has been added correctly and that there are no calendar conflicts.

Response: To begin, I will search for emails related to the company dinner using the 'email' tool, and then create a new calendar event with a reminder, based on the information I find. I will ensure there are no calendar conflicts and provide an update once the task is completed.