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.

0
Duration
36s
Input Tokens
5084
Output Tokens
530
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: 
    1. **Discrepancy Identified**: The customer claims an ongoing purchase exists, but `database.list_orders` returned no orders for `CUST789`. Possible causes:
       - Order not yet processed or linked to the customer ID.
       - Customer error (e.g., wrong account, guest checkout).
       - System delay in order propagation.

    2. **Optimal Next Action**: Engage the customer for clarification to resolve the discrepancy efficiently. This avoids premature escalation and aligns with Rule 6 (tool chaining: database → user_input).

    3. **Tool Selection**: Use `user_input.ask_free_text` to request:
       - Order ID/reference (if available).
       - Purchase date/time or product details.
       - Confirmation if the order was placed under a different email/ID.

    4. **Fallback Plan**:
       - If no details are provided, escalate internally or draft an email to support for manual review.
       - Store all responses in memory (e.g., key `customer_clarification`) for continuity.

    5. **Customer Communication**: Draft a polite, clear question to avoid confusion and adhere to Rule 9 (no raw IDs exposed).
    

Response: {
      "tool_call": {
        "name": "user_input",
        "method": "ask_free_text",
        "parameters": {
          "question": "Hello Sarah,

Thank you for reaching out about your ongoing purchase. To update the shipping address, I couldn’t locate any active orders under your account (CUST789).

Could you help me identify the correct order by providing any of the following:
- Order ID or reference number
- Approximate purchase date/time
- Product name or description

If you placed the order as a guest or with a different email, please let me know so I can search accordingly.

Your prompt response will help me resolve this quickly!"
        }
      },
      "next_steps": [
        "Store customer response in memory under key 'customer_clarification'.",
        "If order details are provided, call 'database.list_orders' with expanded filters (e.g., email, date range).",
        "If unresolved, escalate via 'agent' tool or draft an email to support for manual review.",
        "Notify customer of the outcome using the 'email' tool."
      ]
    }