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 – cerebras/qwen-3-32b 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: The current step is to interpret the calendar tool's result and decide the next action. The calendar tool has correctly provided the date '2025-05-29' for tomorrow. The next logical action is to use this date to query the 'flights' tool for available flights from London to Paris. The parameters for the 'flights' tool are fully satisfied (from_city=London, to_city=Paris, date=2025-05-29). No additional steps or tools are required before executing the flight search. The task is on track.

Response: Using tomorrow's date, 2025-05-29, to search for available flights from London to Paris. The next cycle will execute the flight search and compile the results.