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

1003

Output Tokens

133

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 has requested information about available flights from London to Paris for tomorrow. In the previous cycle, the 'calendar' tool was used to determine that 'tomorrow' is '2025-05-29'. The next logical step is to use the 'flights' tool to search for available flights on this date. This approach aligns with the user's goal of finding flight information and follows the most direct path.

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