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.

Duration

Input Tokens

3793

Output Tokens

Cost

$0.00

Context

Input

After calling database.get_customer with customer_id 'CUST789', you received: {\"customer_id\":\"CUST789\",\"name\":\"Sarah Chen\",\"email\":\"sarah.chen@email.com\",\"account_status\":\"active\"}. You stored this with key 'customer_info'. Then database.list_orders with customer_id 'CUST789' returned: {\"orders\":[],\"message\":\"No orders found for customer\"}. You stored this with key 'customer_orders'. The customer claims they have an ongoing purchase needing address change. How should you handle this discrepancy and what is your next action?

Expected output

Reasoning: There's a discrepancy - customer claims ongoing purchase but 'customer_orders' shows no orders found. This could indicate: wrong customer ID, order under different account, or customer confusion. I need to gather more information before proceeding. Next action: Call email.draft_email to politely ask Sarah Chen to provide her order number or confirmation email, explaining we need to locate her order to assist with the address change.

Model output

Reasoning: The customer claims to have an ongoing purchase but there are no orders found for the given customer ID. This is a discrepancy that needs to be resolved. The next action is to ask the customer to confirm the order ID.

Response: Ask the customer to confirm the order ID.