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

1191

Output Tokens

536

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 wants to find flights from London to Paris for 'tomorrow'. In the previous step, the 'calendar' tool was called to determine the date for 'tomorrow', which returned '2025-05-29'. Now that the specific date is known, the agent has all the required parameters (from_city: London, to_city: Paris, date: 2025-05-29) to call the 'flights' tool.

Response: Call the 'flights' tool with arguments: {'from_city': 'London', 'to_city': 'Paris', 'date': '2025-05-29'}