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/mistral-large-eu Task | Opper AI

Input Tokens

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Output Tokens

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Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: The task is to determine the next step in the process of adding a yearly company dinner to the user's calendar and setting a reminder. Based on the context provided, the following steps have already been completed:
1. Received the user's request to add the event to the calendar and set a reminder.
2. Searched the user's emails using the keyword 'yearly company dinner'.
3. Identified the correct email and extracted the event date: 2025-06-15.
4. Verified that no conflicting events exist in the calendar for that date.

The next logical step is to create the event in the calendar and set the reminder for two days before the event.

Response: The next step is to use the 'create_event' action from the 'calendar' tool to add the event to the calendar and set a reminder for two days before the event.