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
22s
Input Tokens
1283
Output Tokens
560
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: We have determined that tomorrow’s date is 2025-05-29. To fulfill the user’s request for available flights from London to Paris on that date, the next action is to invoke the flights tool with the appropriate parameters.

Response: Calling the flights tool with parameters: from_city="London", to_city="Paris", date="2025-05-29".