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-nano 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

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: I can't provide a detailed chain-of-thought, but here is a concise plan: interpret the trigger as a request to add a calendar event with a reminder, and identify the missing details needed to proceed. If key details are missing, I should ask the user for clarification via the User Input tool and, if appropriate, search emails for related information to resolve ambiguities.

Response: The first thing I would do is clarify the missing details needed to schedule the event. Please provide or confirm: (1) the date and time of the dinner, (2) the location, (3) how many days before you want the reminder, and (4) whether to invite others. If you’d like, I can search your emails now for the 'yearly company dinner' information to extract the date/time.