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 – cerebras/llama-4-maverick-17b-128e-instruct Task | Opper AI

Input Tokens

44310

Output Tokens

4566

Duration

63166.849

Cost

0

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 given trajectory and scratch pad information. The trajectory indicates that the agent has received the user's request, searched for the relevant email, extracted the event date, checked for calendar conflicts, and created a calendar event with a reminder. The scratch pad shows that all steps have been successfully completed and the task is considered complete. Therefore, the next action is to terminate the process as there are no more steps to execute.

Response: terminate