What the Data for This Category Looks Like
Sheet metal cutting and bending scenarios serve metal forming manufacturers including cabinet chassis, ventilation equipment, electrical cabinets, and non-standard equipment. Core data comes from CAD/CAM software, order BOM systems, sheet metal inventory ledgers, laser cutter and bender device logs, and workshop MES systems. Daily produced documents include part unfolding drawings, CNC cutting programs, bending process cards, nesting diagrams, first-piece inspection records, and process transfer cards. Data update rhythm follows order execution, daily inventory checks, and each process changeover adjustment. Fields include bending compensation, hole coordinates, cutting path parameters, sheet material utilization rate, dimensional deviation values, and no unified fixed format, requiring adaptation to multiple data source structures. This page is written based on FastGPT v4.17.0.
What Constraints These Characteristics Impose on the Tool Calling and Plugins Link
Multi-source heterogeneous data sources require tool calling to support integration with different types of system interfaces, and adapt to parsing multi-format documents such as CAD files and process spreadsheets. High-frequency update rhythm requires tool calling to pull real-time latest order data and device logs, avoiding use of expired bending coefficients or nesting plans. The multi-variety, small-batch business model requires tools to dynamically match unfolding parameters and bending sequences for different parts, without the need for fixed templates. At the same time, defect analysis requires accurate verification of dimensional deviations; the accuracy of tool calling results directly affects subsequent assembly and sheet material utilization, so strict verification of field integrity of returned data is required.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Tool Calling Switch | Enabled | Enable external tool integration for multi-source data sources in sheet metal cutting and bending |
| Tool Calling Timeout | 300–600 seconds | Adapt to the time required for parsing CNC cutting programs and CAD unfolding drawings, and pulling data |
| Number of Returned Entries per Tool Call | Top 3 | Match the small-batch sheet metal part data volume per order, avoid interference from redundant information |
| Workflow/API tool selection | auto | Let the model independently select specialized tools adapted to the sheet metal scenario |
| Workflow/API function-call configuration | Enabled | Support structured calling of specialized tools such as bending coefficient query and dimensional deviation verification |
| Tool Data Source Binding | Bind CAD/CAM, MES, and sheet metal inventory interfaces | Match the core data source paths for this category |
Three Common Mistakes
- Phenomenon: Cross-origin error occurs when calling
api/v1/chat/completions, with status code 403 Forbidden. Cause: Cross-origin whitelist is not configured in the FastGPT backend, and external front-end domain names are not allowed to access the interface. - Phenomenon: Prompt for missing MCP server dependency when starting the tool calling process. Cause: MCP service is not deployed as required as an intermediate node for tool calling, and cannot complete request forwarding for external data sources.
- Phenomenon: Calling the defect analysis flowchart returns "chat: llm—model—response-empty". Cause: Tool calling failed to correctly pull the bending process card or unfolding drawing data of the specified part, resulting in the model having no valid context to generate a reply.
How to Confirm the Configuration Is Properly Set Up
- Initiate a test call, enter the specified order number, and check whether the tool can pull the bending process card and unfolding drawing data of the corresponding part.
- Check whether the
toolChoiceandfunctionCallparameters configured in the backend are enabled, and there are no abnormal error logs. - Configure a front-end test domain name, initiate a cross-origin request, and confirm that the interface can normally return response content.
- Simulate a defect analysis scenario, enter part data with known dimensional deviations, and check whether the tool returns corresponding deviation causes and rectification suggestions.
The values provided here are common starting points and should be evaluated against the reader's own samples.