Agents – mistral/mistral-small-eu Task | Opper AI

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.

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Context

Input

The user has replied: "Three days before is fine."  According to the plan for the yearly company-dinner task, what is the next action?

Expected output

Call email.search_emails with a query such as "yearly company dinner" (optionally including the current year) to locate the relevant email(s) containing the event details, and store the returned email_id(s) for the subsequent email.read_email step.

Model output

Reasoning: Understood the user's request to add the yearly company dinner to the calendar and set a reminder a certain number of days in advance. The user responded with 'Three days before is fine.' I will now search the user's emails for information about the yearly company dinner, extract the event date, add the event to the calendar, and set a reminder for three days before.

Response: The yearly company dinner will be added to your calendar three days before the event, and a reminder will be set accordingly.