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-flash 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 is asking for the next action based on the provided trajectory and scratch pad. I need to examine the `trajectory` and `scratch_pad` to understand the current status of the task.

Looking at the `scratch_pad`:
- 'Current step: Final check'
- 'Completed goals:' lists all the steps required by the user's initial request, including receiving preferences, searching/reading emails, extracting information, checking for conflicts, and creating the calendar event with a reminder.
- 'Notes: All steps successfully completed.'
- 'Progress: Step 6 of 6. Task complete.'

The instructions state: 'Once a task is complete you should terminate the process, no need to notify the user.'

Given that the scratch pad explicitly states 'Task complete' and 'All steps successfully completed', the logical next action is to terminate the process.

Response: Terminate.