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 – openai/gpt-5 Task | Opper AI

Input Tokens

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Output Tokens

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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 shows all goals completed: the email was found and read, the event date (2025-06-15) was extracted, calendar conflicts were checked (none), and the calendar event was created with a reminder set 2 days prior. The current step is a final check with notes indicating success and task completion. Per the instructions, once the task is complete, the process should be terminated without further user notification.

Response: Terminate the process; no further action required.