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 – groq/moonshotai/kimi-k2-instruct Task | Opper AI

Input Tokens

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Output Tokens

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Duration

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Cost

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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: The user’s initial request was to find flights from London to Paris for tomorrow. In the prior cycle we already determined tomorrow’s date via the calendar tool (2025-05-29). The next logical step is to invoke the flights tool with the discovered date and the cities supplied in the trigger_content. This will retrieve the available flight options and satisfy the user’s request.

Response: Use the flights tool with parameters: from_city="London", to_city="Paris", date="2025-05-29".