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-nano Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

Context

Input

Asses the current state and decide if we are on track or not

Expected output

We are on track

Model output

Reasoning: High-level assessment: The workflow is currently at Step 2 of 4 in the current cycle with the remaining action to query the flights tool for London -> Paris on 2025-05-29 and then compile results. The calendar tool already returned the date 2025-05-29 and the flights tool is available, so proceeding with the next action keeps us on track to complete the task within this cycle.

Response: Assessment: On track. Next action: use the flights tool to search for available London -> Paris flights for 2025-05-29, then summarize the options for the user.