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

1020

Output Tokens

211

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 is asking about my next action. Based on the context, the user is looking for flights from London to Paris for tomorrow. The previous action was determining tomorrow's date using the calendar tool, which returned '2025-05-29'.

My next action should be to use the flights tool to find available flights, using London as the departure city, Paris as the arrival city, and the date '2025-05-29' (obtained from the calendar tool).

Response: My next action is to use the 'flights' tool to search for available flights from London to Paris on 2025-05-29. The tool parameters will be:
- from_city: London
- to_city: Paris
- date: 2025-05-29