Opper

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.

Input Tokens

Output Tokens

Duration

Cost

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: The user wants to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. To do this, I need to know tomorrow's date and be able to search for flights on that date. The context provides three available tools: calendar, flights, and memory. According to the instructions, I must first retrieve the available methods of each tool before using them, always store tool results in memory, and chain tools logically. The logical sequence is: (1) Use the calendar tool to get tomorrow's date, as this is required for the flight search parameters. (2) Use the flights tool to search for flights from London to Paris on the specified date and find the cheapest options. (3) Use the memory tool to store results after each step as per instructions. Thus, all three tools—calendar, flights, and memory—are required.

Response: To successfully complete the task, I will need to use the following tools: 
1. Calendar tool (to get tomorrow's date),
2. Flights tool (to search, filter, and retrieve the top 3 cheapest flight options), and 
3. Memory tool (to store the results after each step). All three are required to fulfill the user's request according to the provided instructions.