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
20s
Input Tokens
1298
Output Tokens
1270
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: After retrieving 6 available flights from London to Paris for tomorrow using the flights.search_flights tool, the next logical step is to filter these flights by price. This will allow us to identify and select the top 3 cheapest options, aligning with the user's request for the most affordable flights.

Response: The next tool to call is flights.filter_by_price to filter the available flights and select the top 3 cheapest options.