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

1212

Output Tokens

181

Cost

$0.01

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: Let me analyze the current state:

1. The user wants to find flights from London to Paris for tomorrow.
2. In the previous cycle, we called the calendar tool and got the date '2025-05-29' which is tomorrow's date.
3. Now in cycle 3, I have the date and need to search for flights using the flights tool with the parameters: from_city='London', to_city='Paris', date='2025-05-29'.

The next logical action is to call the flights tool with the appropriate parameters to find available flights.

Response: call flights {"from_city": "London", "to_city": "Paris", "date": "2025-05-29"}