Data for this category
Business data for sheet metal cutting and bending scenarios comes primarily from CAD/CAM software, order BOM systems, sheet material inventory ledgers, laser cutter and bending machine device logs, and MES production management systems. Daily business documents include part unfolding drawings, CNC cutting programs, bending process cards, nesting planning diagrams, first-piece inspection records, and process transfer cards. Data update schedules adjust in real time alongside order deliveries, daily inventory changes, and production changeovers. Core fields include sheet material thickness (mm), bending coefficient, hole position coordinates, bending angle (°), cutting dimensions, and others. Data formats must be dynamically matched to specific business scenarios.
Constraints for HTTP interfaces and external systems
Data sources for this category are scattered and have varied formats. HTTP interfaces must support pulling data from multiple systems and adapting to different formats. They must be compatible with CAD-exported drawing formats, structured BOM fields, and other data types. Data updates occur frequently and change dynamically alongside orders. Interface calls must align with production cycles to prevent process data lag from request delays. The multi-variety, small-batch business model leads to large fluctuations in single-batch request data volumes. Interfaces must support flexible parameter filtering to accurately retrieve process specifications and technical standards for specific orders. Abnormal data can cause sheet material waste. Interfaces must strictly validate input parameters to avoid resource losses from invalid calls.
Configuration Settings
The following configurations are based on the interface logic of FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {Enterprise-specific API key} | Complies with HTTP interface authentication specifications, ensuring access security for process data and production systems |
variables | Pass order number, sheet material type, bending times | Matches core business fields for sheet metal cutting and bending, accurately retrieving process specification data for target orders |
responseData | Return only process card text, unfolding drawing URL, bending coefficient parameters | Filters irrelevant data, reduces interface transmission load, and improves conversation response speed |
| Maximum single request data volume | 100–200 process records | Matches the part count scale of single-batch orders in sheet metal processing, preventing request timeouts |
| Authentication cache duration | 3600 seconds | Balances security and interface call efficiency, reducing resource consumption from repeated authentication |
| Request retry count | 2 retries | Prevents call failures from temporary network fluctuations, ensuring interface call stability |
Three Common Configuration Errors
- Calling the interface returns
400 invalid image. The cause is that the passed unfolding drawing or nesting diagram has not been converted to the standard format supported by the interface, or the image file size exceeds the interface limit threshold. - The HTTP module runs normally within FastGPT, but only the first conversation node triggers after connecting to an external system. The cause is that the session context identifier was not passed via the
variablesparameter in the request body, preventing the external system from maintaining conversation state. - An SQL query error occurs during the data linking phase. The cause is that filter conditions were not written according to the business fields for sheet metal cutting and bending, leading to returned data that does not match the current order's process standards.
How to Verify Successful Configuration
- Call the interface with a valid test order number, check whether the
responseDatafield returns valid content such as the bending process card and unfolding drawing link for the target order. - View interface call logs to confirm that the
Authorizationparameter is correctly carried and has not expired, and that the authentication process completed normally. - Simulate multi-round conversation requests, check whether the
variablesparameter correctly passes the session context identifier, ensuring the conversation process is continuous and uninterrupted. - Pass test parameters with incorrect formats, confirm that the interface returns expected error prompts, and that the parameter validation logic is active.
The values provided are common starting points and should be measured against the reader's own samples.