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

Input Tokens

1038

Output Tokens

141

Cost

$0.01

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. The previous step already resolved tomorrow's date as 2025-05-29. The next direct step is to query the available flights tool using the departure city, arrival city, and resolved travel date.

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