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.

50
Duration
17s
Input Tokens
975
Output Tokens
1799
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: To fulfill the user's request, we determine tomorrow's date from the calendar result (2025-05-29) and plan to search for flights on 2025-05-30 using the Flights tool, so we can provide concrete options.

Response: Next action: query the Flights tool for available flights from London to Paris on tomorrow's date (2025-05-30) using the calendar-derived date, and then present the best options (earliest departure, lowest price) to the user, asking for any preferences if needed.