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 – groq/gpt-oss-20b 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 already responded with the reminder preference (“three days before”). According to the plan and remaining goals, we now need to retrieve the event date and details from the user’s emails. The next step is to search the user’s emails for the "yearly company dinner" information and then read the relevant email to extract the date and event details. This satisfies the goal of locating the event date and preparing for calendar creation.

Response: Search the user's emails for the yearly company dinner and read the relevant email to extract the event date and details.