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-mini 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: After retrieving 6 available flights using the flights.search_flights tool, the next logical step is to narrow down these options to the top 3 cheapest flights. To achieve this, the flights.filter_by_price tool should be used. This tool will allow filtering the retrieved flights based on their prices, ensuring that the user receives the most cost-effective options for their trip from London to Paris.

Response: The next tool to call is 'flights.filter_by_price' in order to filter the available flights by price and select the top 3 cheapest options.