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.

Duration

39s

Input Tokens

1539

Output Tokens

355

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 tomorrow's date as 2025-05-29. Now we need to search for flights. The flights tool is available and requires from_city, to_city, and date. So I will call flights tool with 'London', 'Paris', '2025-05-29'.

Response: Call the flights tool with from_city='London', to_city='Paris', date='2025-05-29'.