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.

Agents – cerebras/llama-4-maverick-17b-128e-instruct Task | Opper AI

Input Tokens

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Output Tokens

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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 determine the cheapest flights from London to Paris for tomorrow and return the top 3 options, I need to analyze the task and identify the required tools. First, I need to get tomorrow's date using the 'calendar' tool. Then, I will use the 'flights' tool to search for flights from London to Paris for tomorrow's date. After retrieving the flight information, I will filter and sort the results to find the top 3 cheapest options. Finally, I will store the results in memory using the 'memory' tool.

Response: The tools needed to complete the task are: 'calendar', 'flights', and 'memory'. The 'calendar' tool will be used to get tomorrow's date. The 'flights' tool will be used to search for flights from London to Paris for tomorrow's date and retrieve the top 3 cheapest options. The 'memory' tool will be used to store the results.