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 – gcp/gemini-2.5-pro 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 user wants me to determine the next action based on the provided context.

1.  **Analyze the Scratchpad:** The scratchpad clearly indicates the task is complete. The 'Progress' field states 'Step 6 of 6. Task complete.', and the 'Notes' field confirms 'All steps successfully completed.'.
2.  **Review the Trajectory:** The trajectory confirms that all parts of the user's request have been fulfilled: the event date was found, the calendar was checked for conflicts, and the event was created with the specified reminder.
3.  **Consult the Instructions:** The instructions for the agent state, 'Once a task is complete you should terminate the process, no need to notify the user.'
4.  **Conclusion:** Since the task is marked as complete and all goals have been met, the next and final action, according to the agent's operating instructions, is to terminate the process.

Response: terminate