Agents – fireworks/deepseek-r1 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

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: After resolving the date in cycle 1 (2025-05-29), we have all necessary parameters to search for flights. The flights tool requires from_city (London), to_city (Paris) and date (2025-05-29). As we have all required inputs and the flights tool is available, the next logical step is direct flight lookup.

Response: Call flights tool with parameters: {"from_city": "London", "to_city": "Paris", "date": "2025-05-29"}