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
19s
Input Tokens
975
Output Tokens
708
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, which we've identified as 2025-05-29 based on the calendar tool. The logical next step is to use the flights tool with the appropriate parameters (from_city: London, to_city: Paris, date: 2025-05-29) to retrieve available flight options.

Response: I will call the flights tool using from_city='London', to_city='Paris' and date='2025-05-29'.