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

1191

Output Tokens

660

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 available flights from London to Paris for tomorrow. The previous step successfully identified 'tomorrow's date' as '2025-05-29' using the calendar tool.
Now that I have the required parameters: 'from_city' (London), 'to_city' (Paris), and 'date' (2025-05-29), the logical next step is to call the 'flights' tool to search for the available flights.

Response: call:flights(from_city="London", to_city="Paris", date="2025-05-29")