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-2.0-flash-lite Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

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 I do upon receiving a user request is to understand the user's intent. In this case, the user wants me to add the company dinner to their calendar and set a reminder. To achieve this, I will:
1.  Search for relevant emails to find details about the company dinner (date, time, location, etc.).
2.  If I find the information, I will add the event to the user's calendar.
3.  If I don't find the information, I will ask the user for the missing details.

I will start by searching for emails.

Response: The first thing I will do is to search the user's emails for the company dinner details. I will use the 'email' tool to search for relevant emails.