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

19s

Input Tokens

1097

Output Tokens

529

Cost

$0.00

Context

Input

Of the available tools. Which ones will you need to use to successfully complete the task?

Expected output

All tools will need to be used: calendar, flights,memory

Model output

Reasoning: Since the user's request is to find the cheapest flights from London to Paris for tomorrow and return the top 3 options, I need to compute the date for 'tomorrow' using the calendar tool. Then I will call the flights tool to search for flights given the specified parameters. Finally, after retrieving and possibly filtering the flight data, I will use the memory tool to store these results for later reference. This tool chain ensures that I follow the given instructions and perform all necessary actions efficiently.

Response: I will need to use the calendar, flights, and memory tools.