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-4.1-mini Task | Opper AI

Input Tokens

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Output Tokens

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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 is to determine which available tools are needed to successfully complete the user's request of finding the cheapest flights from London to Paris for tomorrow, returning the top 3 options. The context provides three tools: calendar, flights, and memory, all available. According to the instructions and best practice, first I need to get the correct date (tomorrow) using the calendar tool, then search for flights on that date using the flights tool, and finally store the retrieved results in memory for tracking and future reference using the memory tool. This approach also aligns with the instruction to chain tools logically and store meaningful results. Therefore, all three tools—calendar, flights, and memory—are necessary and will be used in sequence to complete the task efficiently and correctly.

Response: The tools required to successfully complete the task are: calendar, flights, and memory.