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

21s

Input Tokens

1145

Output Tokens

240

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: Looking at the trajectory, I can see that:
1. The user requested information about flights from London to Paris for tomorrow
2. In a previous cycle, the calendar tool was called and returned '2025-05-29' as tomorrow's date
3. Now I'm in cycle 3 and need to determine the next action

Since I have the date (2025-05-29) and the user's request is for flights from London to Paris, the logical next step is to use the flights tool to search for available flights with these parameters:
- from_city: London
- to_city: Paris  
- date: 2025-05-29

This will directly address the user's request and provide them with the flight information they need.

Response: Call the flights tool with parameters: from_city='London', to_city='Paris', date='2025-05-29' to retrieve available flight information for tomorrow as requested by the user.