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.

100
Duration
14s
Input Tokens
976
Output Tokens
117
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 current context indicates that we have already called the calendar tool and confirmed that tomorrow's date is '2025-05-29'. Since the flights tool is available, the next logical action is to use it to search for flights based on the specific parameters required.

Response: The next action is to use the flights tool to find available flights from London to Paris on '2025-05-29'.