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: To analyze which tools are needed for the task 'find the cheapest flights from London to Paris for tomorrow, and return the top 3 options,' I need to consider what functions are required: 1) Determine tomorrow's date (date manipulation), 2) Search for flights (flight search), and 3) Store results (data persistence). The calendar tool is needed to get tomorrow's date. The flights tool is essential to search and filter flight information. The memory tool is required according to instructions to store meaningful results after each tool call. All three tools will be used in sequence: calendar → flights → memory.

Response: To 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 all three available tools: 

1. **calendar tool** - To determine the exact date for tomorrow
2. **flights tool** - To search for flights from London to Paris, filter by price, and retrieve the top 3 cheapest options
3. **memory tool** - To store the retrieved tomorrow's date and flight information

The workflow will be: first get tomorrow's date using the calendar tool, then use that date to search for flights using the flights tool, and store the results using the memory tool after each operation.