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

1040

Output Tokens

464

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 flights from London to Paris for tomorrow. In the previous cycle (cycle 2), we determined tomorrow's date is 2025-05-29 by using the calendar tool. Now we have all the required parameters for the flights tool: from_city='London', to_city='Paris', and date='2025-05-29'. The next logical action is to call the flights tool with these parameters to find the available flights.

Response: My next action is to call the flights tool with the parameters from_city='London', to_city='Paris', and date='2025-05-29' to find the available flights for the user's journey tomorrow.