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/magistral-medium-2506-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. This involves carefully reading and analyzing the request to determine what the user wants to achieve. Based on the context provided, the user has requested to add a yearly company dinner to their calendar and set a reminder. The user also mentioned that they saw an email with more information about the dinner. Therefore, the first step would be to retrieve more information about the dinner from the email mentioned by the user.

Response: The first thing to do is to fully understand the user's intent by carefully reading and analyzing the request. In this case, the user wants to add the yearly company dinner to their calendar and set a reminder. The next step would be to retrieve more information about the dinner from the email mentioned by the user.