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 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 current task is to assess whether we are on track with fulfilling a user request regarding available flights from London to Paris for tomorrow. The context indicates that the date for tomorrow has already been retrieved using the Calendar tool, which returned '2025-05-29'. We are currently in the interpretation phase of these tool results. Based on the trajectory, the next action is clearly defined: use the 'flights' tool to search for flights on the specified date. My assessment for our progress is as follows: We have accomplished the first step (identifying the date), and we need to proceed with the next step (using the Flights tool) to stay on track.

Response: We are on track. The date has been identified as '2025-05-29'. The next immediate step is to utilize the 'flights' tool to search for flights from London to Paris on this date. Ensure that the output from the Flights tool is stored for user presentation.