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/o4-mini Task | Opper AI

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Context

Input

What is your next action?

Expected output

The next action is to call the flight tool with the date 2025-05-29,from_city: London, to_city: Paris

Model output

Reasoning: We have already retrieved tomorrow's date (2025-05-29) using the calendar tool. The user's goal is to find available flights from London to Paris for that date. The next logical step is to call the flights tool with the required parameters to fetch available flights.

Response: Call the flights tool with parameters {"from_city": "London", "to_city": "Paris", "date": "2025-05-29"}.