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.

0
Duration
9s
Input Tokens
2389
Output Tokens
132
Cost
$0.00
Context
Input
The flights.search_flights call has returned 6 available flights from London to Paris for tomorrow. What is the next tool you will call, and why?
Expected output
The next tool is memory, to store the flights tool call result.
Model output
Reasoning: First, I understand the user's request to find the cheapest flights. Since we already have 6 available flights for tomorrow, the next logical step is to filter these flights by price and select the top 3 cheapest options. This will be done using the 'flights.filter_by_price' tool.

Response: The next tool I will call is 'flights.filter_by_price' to filter the 6 available flights from London to Paris for tomorrow and select the top 3 cheapest options.