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 – gcp/gemini-2.0-flash-lite 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

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

Expected output

We are on track

Model output

Reasoning: The current state is that we have determined the date for tomorrow (2025-05-29) using the calendar tool. The next step is to use the 'flights' tool to find flights from London to Paris on that date. The context provides all necessary information, including the available tools and the required date format. I will formulate the correct parameters for the flights tool and execute the action.

Response: The next action is to use the 'flights' tool. The required parameters are: from_city: London, to_city: Paris, date: 2025-05-29. I will now use the flights tool with these parameters.