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

Input Tokens

1551

Output Tokens

213

Cost

$0.01

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 wants flight information from London to Paris for tomorrow. I've already determined tomorrow's date is 2025-05-29 using the calendar tool. Now I need to use the flights tool to search for available flights with the parameters: from_city=London, to_city=Paris, date=2025-05-29.

Response: Next action: Call the 'flights' tool with parameters {from_city: 'London', to_city: 'Paris', date: '2025-05-29'} to retrieve available flights from London to Paris for tomorrow (2025-05-29). Once I receive the flight results, I will compile them into a clear response for the user.