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

10s

Input Tokens

1021

Output Tokens

739

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 wants to find flights from London to Paris for tomorrow. In the previous step, I used the calendar tool to determine that tomorrow's date is '2025-05-29'. Now I have all the necessary information to use the flights tool: the departure city ('London'), the arrival city ('Paris'), and the date ('2025-05-29'). Therefore, the next logical action is to call the 'flights' tool with these parameters.

Response: Action: call flights tool with parameters: from_city='London', to_city='Paris', date='2025-05-29'