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 – cerebras/qwen-3-32b 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 step is to determine if an email with details about the yearly company dinner exists. Since the user mentioned seeing an email with more information, I will use the 'search_emails' tool to locate it. This ensures I retrieve accurate event details before scheduling. The query should be 'yearly company dinner' to find relevant emails.

Response: Used the email tool to search for the email with subject 'yearly company dinner' to retrieve event details.