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

15s

Input Tokens

1020

Output Tokens

140

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 to find information about flights from London to Paris for tomorrow (2025-05-29). We already have the date from the previous turn's calendar tool call. The next logical action is to use the 'flights' tool with the correct parameters. The 'flights' tool requires 'from_city', 'to_city', and 'date'.

Response: call flights tool with parameters: from_city='London', to_city='Paris', date='2025-05-29'