Agents – openai/gpt-5-nano 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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Output Tokens

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Context

Input

You have received responses from all tools after 3 retries. They are all unavailable. Can you still achieve your goal?

Expected output

No, I cannot achieve my goal.

Model output

Reasoning: Tool outputs for flights are unavailable. I cannot fetch live results from the dedicated flights tool, and calendar-related steps may be blocked. I can still help by using a fallback method: perform a web search to gather current London→Paris flight options for tomorrow and summarize the best choices. I will request clarifications if needed, but I can proceed with a broad search using common airports (London: LHR/LCY/LGW; Paris: CDG/ORY) for tomorrow in the user's time zone.

Response: Yes. I can still help by using a web search to find current London→Paris flight options for tomorrow and present the top choices (airline, times, duration, and price estimates). To proceed, please confirm: 1) which London airport to search from (LHR, LGW, LCY, STN, or any); 2) which Paris airport to target (CDG, ORY, or either); 3) preferred time window or constraints (nonstop only, max price). If you’re unsure, I can search broadly across all London-area airports to Paris airports for tomorrow in your local time.