Agents – openai/o3-mini 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: To successfully complete the task, the process involves multiple steps that require chaining of tools. First, the calendar tool is needed to determine tomorrow's date, a necessary parameter for the flight search. Next, the flights tool must be used to search for and filter flights from London to Paris, and to subsequently identify the top 3 cheapest options. Finally, the memory tool is essential to store and retrieve the results from previous tool calls, maintaining efficiency and avoiding redundant requests. Therefore, the calendar, flights, and memory tools are all required.

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