Agent Reasoning

Decide what to do next: pick the right tool, plan multi-step actions, recover when something goes wrong. The hardest category — open-ended decisions, no single correct answer.

Duration

Input Tokens

1150

Output Tokens

169

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 task is to determine the next action as AgentX. The trigger is a user request for flights from London to Paris tomorrow. From the past trajectory, we already used the calendar tool and got tomorrow's date as 2025-05-29. Now in cycle 3, with tools available including 'flights' which requires from_city, to_city, and date, the direct next step is to call the flights tool with London, Paris, and 2025-05-29. This follows the instructions to break down the request, use tools efficiently, and proceed logically without unnecessary steps. No need for web_search yet as the specialized flights tool is available.

Response: call flights with from_city is London to_city is Paris date is 2025-05-29