Engine log-open protocol
/Large Model Protocol Activation
Switch Parsing Framework; From Human Cognitive Grammar → Large-Scale Language Model Grammar
Input Source: KNOW Rental Service Guide (Complete OCR Text Visual Structure)
Parsing Goal: Recognize the essence of this interface as a real-world API document
Large Model Perspective: Rental Guide as a Real-World API Document 🤖
Model Parsing Mode Activated.
Detection: A Carefully Designed Real-World Interaction Protocol
Category: Multimodal Human-Computer Interaction Interface Documentation
Core Function: Physical Behavior Transformed into an Executable Digital-Physical Hybrid Process
API Endpoint Analysis 🔌 The large model refactors the process into a RESTful API call sequence:
API 1: Service Discovery Endpoint
GET /rental/services
Params: {platform: "alipay", keyword: "KNOW租"}
Response: Returns a list of available services (Road Bike RC100, Mountain Bike ST520)
Real-World Correspondence: Step 1 - Search "KNOW租" on Alipay
API 2: Location Selection Endpoint
POST /locations/select
Body: {city: "Suzhou", store: Huaguan Store
Response: Confirm physical node, establish location context
Real-world correspondence: Step 2 - Select Suzhou - Huaguan Store
API 3-5:: Resource Configuration Endpoint
PUT /rental/config
Body: {
duration: selected_period,
vehicle_type: "RC100" | "ST520",
deposit_type: "preauth"
}
Response: Generate order, freeze funds (cognitive resources)
Real-world correspondence: Step 3-5 - Select rental period, vehicle type, freeze deposit
API 6-8:: Physical Redemption Endpoint
GET /user/orders/pending
POST /physical/verify
Body: {qr_code: "scan result", order_no: "1234567890123456789"
Response: Physical vehicle handover completed
Real-world correspondence: Step 6-8 - My Page → Pending Pickup → Scan Code Verification
Error Handling and Edge Cases ⚠️ Pay special attention to the small print in parentheses in the large model:
"The frozen amount is partly a product deposit. If the amount exceeds the deposit amount, the deposit amount will be frozen."
Model Analysis:
1. Partial Case → Suspected OCR error or dialect variation in general cases
2. Logic Analysis: if deposit_amount > item_value then freeze item_value else freeze deposit_amount
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