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 – fireworks/glm-4.5 Task | Opper AI

Input Tokens

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Output Tokens

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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: Based on the context provided, I can see that we are in cycle 3 of a workflow where the user requested information about flights from London to Paris for tomorrow. In the previous cycle, the calendar tool was used to determine that tomorrow's date is 2025-05-29. Now, with all the required information available (departure city, arrival city, and date), the logical next action is to use the 'flights' tool to search for available flights with these parameters.

Response: My next action is to call the flights tool with the parameters from_city='London', to_city='Paris', and date='2025-05-29' to retrieve information about available flights from London to Paris for tomorrow.