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 – fireworks/qwen3-coder-480b-a35b-instruct 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 replied "Three days before is fine" in response to the agent's question about how many days in advance they would like to receive a reminder for the yearly company dinner. According to the plan outlined in the scratch_pad, the next step after receiving the user's input is to search the user's emails for information about the yearly company dinner. I will use the email tool to search for relevant emails using the keyword 'yearly company dinner'.

Response: The next action is to search the user's emails for information about the yearly company dinner. I will use the email tool to perform this search.