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

1144

Output Tokens

156

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: Based on the context and current trajectory, I can see that the previous cycle involved determining tomorrow's date (2025-05-29) using the calendar tool. The user's original request was to find information about available flights from London to Paris for tomorrow. The next logical action is to use the flights tool to search for available flights matching these parameters.

Response: Next action: Call the flights tool with the following parameters:
- from_city: London
- to_city: Paris
- date: 2025-05-29

This will help retrieve the available flight options for the user's requested travel.