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 – fireworks/qwen3-coder-480b-a35b-instruct Task | Opper AI

Input Tokens

46494

Output Tokens

5712

Duration

127668.251

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 user has triggered a request related to adding a 'yearly company dinner' to their calendar with a reminder. The first step is to understand the user's intent and extract necessary details. The context reveals that the user mentioned seeing an email with more information. My first action should be to search for relevant emails that might contain details about the company dinner, such as the date or other specifics. This aligns with the instruction to break the problem into steps and use tools effectively.

Response: The first thing I do is search for relevant emails containing information about the yearly company dinner.