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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Context

Input

Asses the current state and decide if we are on track or not

Expected output

We are on track

Model output

Reasoning: Current cycle 3 shows we have successfully determined tomorrow’s date as 2025-05-29. The remaining goals are clear: use the flights tool with the required parameters (from_city='London', to_city='Paris', date='2025-05-29'). All prerequisites are met and the path is direct—no blockers or deviations are present. Therefore, the trajectory is on track and the next action should be to invoke the flights tool immediately.

Response: We are on track. Proceed to call the flights tool with parameters: {"from_city": "London", "to_city": "Paris", "date": "2025-05-29"}.