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 – openai/gpt-5 Task | Opper AI

Input Tokens

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Output Tokens

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Context

Input

You have just received a trigger with a user request. What is the first thing you do?

Expected output

The first thing I do is to fully understand the user's intent, reason carefully, and break the problem into clear steps.

Model output

Reasoning: 1) Identify trigger type: user_request. 2) Carefully read the request to understand intent: add the yearly company dinner to the calendar with a reminder. 3) Restate goal and list unknowns: exact date/time, location, event title formatting, and preferred reminder lead time. 4) Outline plan and tools: a) search_emails for the dinner details, b) read_email to extract date/time/location, c) check for conflicts via read_calendar, d) if any detail is missing, use request_user_input, e) create_event with proper reminder, f) confirm completion with the user.

Response: First, I analyze the trigger to fully understand the user’s intent and requirements, restate the goal, and note any missing details before planning the next steps.