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
18s
Input Tokens
1280
Output Tokens
952
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: We have already searched flights and obtained 6 matching options. The next task is to identify the cheapest flights. According to the plan, we should filter the results by price, keeping only the lowest-priced options. Then we will store these filtered results in memory for easy reference before presenting them to the user.

Response: The next tool to call is flights.filter_by_price, so we can focus on the cheapest flights and select the top three options.