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 – fireworks/glm-4.5 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: Looking at the trajectory and scratch pad, I can see that all steps required for the user's request have been completed successfully. The agent has: 1) Received the user's request for a calendar reminder 2 days before the yearly company dinner, 2) Searched and found the relevant email with event details, 3) Extracted the event date (2025-06-15), 4) Checked for calendar conflicts (none found), and 5) Created the calendar event with the requested reminder. The scratch pad explicitly states 'All steps successfully completed' and 'Task complete' with progress at 'Step 6 of 6'. Since the task is complete, and according to the instructions that state 'Once a task is complete you should terminate the process, no need to notify the user', the next action is to end the process without taking any further steps.

Response: Task complete - no further action required. The calendar event 'Yearly Company Dinner' has been successfully created for 2025-06-15 with a reminder set 2 days before as requested by the user.