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

1045

Output Tokens

410

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: I need to determine the next action based on the current state and user's goal. Let's analyze:
1. User's goal: Find flights from London to Paris for tomorrow
2. Current cycle: 3
3. Previous cycle result: Calendar tool returned tomorrow's date as '2025-05-29'
4. Available tools: calendar (already used), flights (available), web_search (available)
5. Since we now have the date (2025-05-29) and know the route (London to Paris), the most logical next step is to call the flights tool with these parameters to find available flights matching the user's request.

Response: Call the flights tool with parameters: from_city='London', to_city='Paris', date='2025-05-29'