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-4.1-nano Task | Opper AI

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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 task is to assess the current state and determine if the project or process is on track. The context shows that the current cycle involves interpreting the calendar tool's result, which indicates the date is '2025-05-29'. The previous steps include determining the date for flight searches from London to Paris, which hinges on confirming the date format and ensuring the flight search can proceed. Since today's date retrieved is '2025-05-29', and the flight search should be for this date, the plan is to confirm the date format matches the requirements of the 'flights' tool, then proceed to perform the flight search to fulfill the user's request. The process is on schedule because the previous steps and tools are correctly utilized, and the date is successfully retrieved. Therefore, I conclude that the current state indicates the project is on track, provided subsequent steps follow as planned.

Response: The current state shows that the date has been successfully retrieved as 2025-05-29. Since this aligns with the planned next step of searching for flights on that date, and no issues have been identified, we are on track to complete the task as scheduled.