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

42s

Input Tokens

4398

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 task involves resolving a discrepancy between the customer's claim of an ongoing purchase and the database showing no orders. The approach involves verifying the customer ID and gathering more details about the purchase from the customer. The immediate next action is to ask the customer for clarification.

Response: Ask the customer for clarification regarding the ongoing purchase they mentioned.