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-120b 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 agent has already asked the user how many days before the event they want a reminder and received the answer "Three days before is fine." According to the plan, after receiving the user's preferred reminder interval, the next step is to locate the event details. The remaining goals list shows the next pending goal is to search the user's emails for the yearly company dinner date. Therefore, the correct next action is to invoke the email tool's 'search_emails' action with an appropriate query (e.g., "yearly company dinner"). Once the email is found, the agent can proceed to read it and extract the event date.

Response: Proceed to search the user's emails for information about the yearly company dinner (use the email tool's search_emails action).