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

19s

Input Tokens

975

Output Tokens

638

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 requested information on available flights from London to Paris for tomorrow. The context indicates that the previous cycle determined tomorrow's date as '2025-05-29' using the calendar tool. Given this, the next action is to use the flights tool to retrieve flight details using these parameters.

Response: Call the 'flights' tool with parameters: from_city = 'London', to_city = 'Paris', and date = '2025-05-29'.