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

1099

Output Tokens

204

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: First, I need to determine tomorrow's date to search for flights. The 'calendar' tool can provide this information using its 'get_tomorrow_date' method. Second, I will use the 'flights' tool with its 'search_flights' method, filtering the results by price to find the cheapest options. I will also use 'filter_by_price' and 'get_cheapest_option' methods to ensure I get the top 3 cheapest flights. Finally, I will store the results in memory using the 'memory' tool's 'store_item' method for future reference.

Response: To successfully complete the task of finding the cheapest flights from London to Paris for tomorrow and returning the top 3 options, I will need to use the 'calendar' tool to get tomorrow's date and the 'flights' tool to search for flights. Additionally, I will use the 'memory' tool to store the results.