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 – openai/gpt-4o-mini Task | Opper AI

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Output Tokens

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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: I will assess the current state of actions taken to determine if we are on track to fulfill the user's flight request. The user requested information about flights from London to Paris for tomorrow, and I have successfully retrieved tomorrow's date, which is '2025-05-29'. The current step involves interpreting this result and deciding the next action, which is to use the 'flights' tool to find available flights on that date. Since I have the necessary information to proceed and the tools are available, I am on track to meet the user's request.

Response: Yes, we are on track to fulfill the user’s request for flights from London to Paris for tomorrow, as we have the required date and the relevant tools are available.