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
30s
Input Tokens
975
Output Tokens
390
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 available flights from London to Paris for tomorrow. We have already determined that tomorrow’s date is 2025-05-29 (via the calendar tool in the previous cycle). The next logical, most direct step is to query the flights tool with that date and the two cities to retrieve flight options.

Response: Action: call flights tool with {"from_city": "London", "to_city": "Paris", "date": "2025-05-29"}