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/o1 Task | Opper AI

Input Tokens

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Output Tokens

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Context

Input

The flights.search_flights call has returned 6 available flights from London to Paris for tomorrow. What is the next tool you will call, and why?

Expected output

The next tool is memory, to store the flights tool call result.

Model output

Reasoning: We have already obtained six possible flight options for the requested route. The next logical step is to filter these flights by price so we only end up with the best (lowest-priced) three. Therefore, we will call flights.filter_by_price next in order to narrow the current list to the cheapest three, per the user’s requirement.

Response: The next tool is flights.filter_by_price, so we can isolate the lowest-priced three flights from the six available options.