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 – xai/grok-4 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 decide if we are on track. Based on the context, the user's request is to find flights from London to Paris for tomorrow. The agent has already used the calendar tool to determine tomorrow's date as '2025-05-29', which matches the required YYYY-MM-DD format for the flights tool. The current cycle is 3, and the scratch pad indicates the next step is to interpret this result and decide the next action. Remaining goals are to use the flights tool with the obtained date and then compile and present results. Progress is noted as Step 2 of 4, suggesting a logical sequence: understanding the request, getting the date (completed), getting flights, and presenting. There are no apparent issues with tool availability, date format, or deviations from the plan. The process is systematic and aligned with the instructions to iterate cycles, track progress, and focus on the user's goal. Therefore, we are on track.

Response: We are on track.