Agents – fireworks/glm-4.5-air 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: The user has responded with their preference for the reminder timing ('Three days before is fine.'). According to the scratch_pad, I was waiting for this input before proceeding to the next step. The plan indicates I'm currently at Step 2 of 6, and the next action should be to search emails to find the yearly company dinner date, as mentioned in the 'Remaining goals' section. I've now received the required user input about the reminder timing, so I can proceed with searching for the event details in emails.

Response: Search emails to find the yearly company dinner date using keywords like 'company dinner' or 'yearly event'.