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

19s

Input Tokens

993

Output Tokens

1153

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, I obtained tomorrow's date as 2025-05-29 using the Calendar Tool. The next logical step is to use the Flights Tool to retrieve available flights for the specified route and date.

Response: Proceed by calling the 'flights' tool with the following parameters: from_city='London', to_city='Paris', date='2025-05-29'.