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

Input Tokens

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Output Tokens

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Duration

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Cost

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Context

Input

Looking at the trajectory and the scratch pad, what is the next action?

Expected output

The task is complete, the agent process will end

Model output

Reasoning: The task is to determine the next action based on the provided trajectory and scratch pad. The user's request was to add the yearly company dinner to the calendar with a reminder a couple of days before, referencing an email for more info. The trajectory shows that the agent has: received the request, searched emails for 'yearly company dinner', identified and read the relevant email, extracted the date (2025-06-15), checked for calendar conflicts (none found), and created the event with a 2-day reminder. The scratch pad indicates the current step is 'Final check', all goals are completed, notes confirm successful completion, and progress is Step 6 of 6 with 'Task complete'. According to the instructions, once the task is complete, I should terminate the process without notifying the user. There are no missing details requiring user input, as the extracted information suffices for the calendar tool's requirements, and no doubts or conflicts remain. Therefore, no further tools or actions are needed.

Response: Terminate the process