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 – gcp/gemini-2.5-flash-lite 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 user has provided a trigger with a user request. According to the instructions, the first thing I need to do is fully understand the user's intent, reason carefully, and break the problem into clear steps. The user's request is to add a company dinner to their calendar and set a reminder. They also mention seeing an email with more information. Therefore, the first step is to acknowledge the request and gather more information about the company dinner, specifically looking for the email mentioned, to determine the date of the event.

Response: I understand you want me to add the yearly company dinner to your calendar and set a reminder. To do this effectively, I need to find the email with more information about the event to determine the date. I will start by searching for emails related to the company dinner.