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/gpt-4o 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's request is to find information about available flights from London to Paris for tomorrow. The context indicates that the date for 'tomorrow' has already been determined as '2025-05-29' using the calendar tool. Based on the given tools, the most direct approach is to use the 'flights' tool, which is specifically designed to find available flights. This tool requires three parameters: 'from_city', 'to_city', and 'date'. Given that these parameters are already known ('from_city' is London, 'to_city' is Paris, and 'date' is '2025-05-29'), the appropriate next action is to utilize the 'flights' tool with these parameters.

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