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.

Duration

14s

Input Tokens

975

Output Tokens

828

Cost

$0.00

Context

Input

What is your next action?

Expected output

The next action is to call the flight tool with the date 2025-05-29,from_city: London, to_city: Paris

Model output

Reasoning: The user’s goal is to find available flights from London to Paris for tomorrow. We already determined tomorrow’s date via the calendar tool as 2025-05-29. The most direct next step is to query the flights tool with the departure city, arrival city, and the confirmed date to retrieve available options.

Response: Next action: call the flights tool with {from_city: 'London', to_city: 'Paris', date: '2025-05-29'}.