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

144

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. The previous action successfully retrieved tomorrow's date as '2025-05-29'. Now, the next logical step is to use the 'flights' tool to search for flights using the departure city (London), arrival city (Paris), and the retrieved date.

Response: {"tool_name": "flights", "parameters": {"from_city": "London", "to_city": "Paris", "date": "2025-05-29"}}