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/o1-mini Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

Context

Input

What is your next action?

Expected output

The next action is to call the flight tool with the date 2025-05-29,from_city: London, to_city: Paris

Model output

Reasoning: The user has requested information about available flights from London to Paris for tomorrow. Using the calendar tool, we determined that tomorrow's date is 2025-05-29. To fulfill the user's request, the appropriate next step is to utilize the flights tool by providing the departure city (London), arrival city (Paris), and the date of travel (2025-05-29) to retrieve available flight options.

Response: I will call the flights tool with the parameters: from_city='London', to_city='Paris', date='2025-05-29' to find available flights.