Agents – gcp/gemini-2.0-flash Task | Opper AI

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.

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 requested to add the company dinner to their calendar and set a reminder. The provided context indicates the trigger is a user request. My first step is to use the 'email' tool to search for emails related to the company dinner to gather more information about the date and time of the event. Then I will create the event and set the reminder.

Response: The first thing I do is use the 'email' tool to search for emails related to the company dinner.