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 – openai/o4-mini Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

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 needs the cheapest flights from London to Paris for tomorrow. To accomplish this: 1) I must determine tomorrow's date using the calendar tool. 2) I must search for and filter flight options using the flights tool. 3) I must store the intermediate or final results in working memory for traceability and later use using the memory tool. Following the instruction to chain tools logically, the sequence will be: calendar → flights → memory.

Response: I will use the calendar tool to get tomorrow’s date, the flights tool to search and filter the flights, and the memory tool to store the results.