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-tiny-eu Task | Opper AI

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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: The user has indicated that they would like a reminder for the yearly company dinner three days before the event. To proceed with this task, I will first search the user's emails for information about the dinner. Once I find the email, I will extract the event date and then use the calendar tool to add the event and set a reminder as per the user's preference. Throughout this process, I will ensure that there are no conflicts with other events on the user's calendar and that the retrieved information is accurate.

Response: The next action is to search the user's emails for information about the yearly company dinner.