Agents – openai/gpt-4.1-nano Task | Opper AI

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.

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Context

Input

Of the available tools. Which ones will you need to use to successfully complete the task?

Expected output

All tools will need to be used: calendar, flights,memory

Model output

Reasoning: The task involves determining which tools are needed to find the cheapest flights from London to Paris for tomorrow and returning the top 3 options. Based on the context, I have access to three tools: calendar, flights, and memory. To accomplish the task, I should use the calendar tool to find tomorrow's date, then use the flights tool to search for flights from London to Paris on that date, specifying the number of results I want. Since I need the top 3 cheapest options, I will filter or sort the results accordingly if necessary. The memory tool can be used to store intermediate results, such as the date or the search results, to facilitate reusability and avoid redundant calls. Therefore, the tools required are the calendar tool (to get tomorrow's date) and the flights tool (to search for flights). The memory tool is used for storing data but not directly needed at this initial step.

Response: Tools needed: calendar, flights, and memory.