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 – mistral/pixtral-large-latest-eu Task | Opper AI

Input Tokens

49758

Output Tokens

5586

Duration

326410.215

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: The task requires listing all open orders for a specific customer with the ID `cust_42`. To achieve this, I need to use the `database` tool and invoke the `list_orders` method. According to the provided context, the `list_orders` method requires the `action` parameter set to `list_orders` and the `customer_id` parameter set to the customer's ID (`cust_42`). This method is suitable for retrieving orders for a specified customer, which aligns with the task requirements.

Response: I will use the `database` tool with the `list_orders` method. The parameter object to be sent is: `{"action": "list_orders", "customer_id": "cust_42"}`.