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 – xai/grok-3 Task | Opper AI

Input Tokens

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Output Tokens

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Context

Input

What is your next action?

Expected output

The next action is to call the flight tool with the date 2025-05-29,from_city: London, to_city: Paris

Model output

Reasoning: I have carefully reviewed the user's request to find information about available flights from London to Paris for tomorrow. The context provided indicates that in the previous cycle, I used the calendar tool to determine tomorrow's date, which is '2025-05-29'. My goal is to assist the user efficiently by following a logical plan of action. Since I now have the necessary date information, the next logical step is to use the 'flights' tool to search for available flights from London to Paris on that date. I need to ensure that I provide the required parameters for the tool, which are 'from_city', 'to_city', and 'date'. This approach directly addresses the user's request without unnecessary detours. I am in cycle 3, and my focus remains on completing the task efficiently.

Response: My next action is to call the 'flights' tool with the following parameters: 'from_city' as 'London', 'to_city' as 'Paris', and 'date' as '2025-05-29' to find available flights for tomorrow.