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

977

Output Tokens

130

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's request is to find information about available flights from London to Paris for tomorrow. The context provided indicates that we have already determined tomorrow's date as '2025-05-29' using the calendar tool. The next logical step is to use the flights tool to search for available flights from London to Paris on '2025-05-29'. The task is in the third cycle, and we have the necessary tools available.

Response: Use the flights tool to search for available flights from London to Paris on '2025-05-29'