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 – groq/gpt-oss-20b Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Cost

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Context

Input

Looking at the trajectory and the scratch pad, what is the next action?

Expected output

The task is complete, the agent process will end

Model output

Reasoning: The scratch pad indicates that all planned steps have been successfully completed—emails searched and read, event date extracted, calendar conflict verified, calendar event created, and reminder set. Since this is the last step (Step 6 of 6) and the task is marked as complete with no outstanding goals, the correct next action is to terminate the process and not perform any further tool usage.

Response: Task is complete; no further actions are required.