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 – mistral/magistral-medium-2506-eu Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

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: <think>Based on the trajectory and scratch pad, the process seems to have been completed. The task involved receiving a user's request to add an event to their calendar and set a reminder. The agent searched the user's emails, found the relevant email, extracted the event date, checked for conflicts, and created the event with a reminder. All steps have been marked as completed, and there are no more actions needed. Therefore, the next action should be to terminate the process.</think>

Response: Terminate the process.