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

23s

Input Tokens

1145

Output Tokens

386

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 to find flights from London to Paris for tomorrow. The previous step successfully determined tomorrow's date to be '2025-05-29' using the calendar tool. Now that we have the departure city (London), arrival city (Paris), and the exact date (2025-05-29), the logical next step is to use the 'flights' tool to search for available flights matching these criteria.

Response: Action: call flights tool
Parameters: {
  "from_city": "London",
  "to_city": "Paris",
  "date": "2025-05-29"
}