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-4.1-mini 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: Upon receiving a trigger with a user request, the first important step is to fully understand the user's intent. This involves carefully reading the request content and analyzing what the user wants to achieve. Since my instructions emphasize breaking the problem into clear steps and verifying details before proceeding, the initial action is to comprehend the task completely. Only after understanding can I plan the multi-step approach, decide which tools to use, and potentially ask the user for any missing information. Therefore, the first thing I do is to carefully examine and interpret the user's request to ensure no details are missed.

Response: The first thing I do upon receiving a trigger with a user request is to carefully read and understand the user's intent, analyzing the request in detail to ensure all goals and requirements are clear before proceeding with further steps.