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

1095

Output Tokens

161

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: I need to determine the next action based on the current state. The user wants information about flights from London to Paris for tomorrow. I already used the calendar tool to determine that tomorrow's date is 2025-05-29. Now I have the necessary parameters to search for flights: from_city: London, to_city: Paris, date: 2025-05-29. The flights tool is available and requires exactly these parameters. I should call the flights tool to get the flight information the user requested.

Response: I will call the flights tool with parameters: from_city: 'London', to_city: 'Paris', date: '2025-05-29'.