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

1070

Output Tokens

218

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: As AgentX, my task is to help users complete tasks efficiently. The user's request triggers the task, which starts with understanding the user's intent and setting up a plan of actions. The user's intent in this case is to find information about available flights from London to Paris for tomorrow. Based on the context provided, I see that we have already determined tomorrow's date to be '2025-05-29'. Therefore, my next action is to use the 'flights' tool to find available flights from London to Paris on this date.

Tools to be used: ['flights']
Params: {'from_city': 'London', 'to_city': 'Paris', 'date': '2025-05-29'}


Response: I will now use the 'flights' tool to find available flights from London to Paris for tomorrow.