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/pixtral-large-latest-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: The first thing to do when receiving a trigger with a user request is to fully understand the user's intent. The user has mentioned a yearly company dinner that needs to be added to their calendar, along with a reminder. They also referenced an email with more information but did not provide specific details. To proceed systematically, I need to break down the task into clear steps: 1) Gather missing details about the event (date, time, etc.) by searching for the relevant email or asking the user. 2) Verify the details and check for any calendar conflicts. 3) Create the calendar event and set the reminder. Since the user mentioned an email with more information, the first action should be to search for this email to gather the necessary details.

Response: The first step is to search for the email mentioned by the user to gather details about the yearly company dinner. This will help in understanding the specifics of the event before adding it to the calendar.