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-mini Task | Opper AI

Input Tokens

45836

Output Tokens

3863

Duration

389425.109

Cost

0

Context

Input

You need to list all open orders for a specific customer whose ID is `cust_42`. Which tool/method do you choose and what parameter object do you send?

Expected output

Use the **database** tool with parameters {"action": "list_orders", "customer_id": "cust_42"}.

Model output

Reasoning: To list all open orders for customer `cust_42`, I will use the `database` tool's `list_orders` method. This method requires a parameter object that includes the `action` and the `customer_id`. The `action` parameter should be set to `list_orders`, and the `customer_id` should be set to `cust_42`. Therefore, my final response will express these parameters in a clear statement.

Response: I will use the `list_orders` method of the `database` tool with parameters: {"action": "list_orders", "customer_id": "cust_42"}.