What the data for this category looks like
The inspection and process record data for metal cutting machining originates from product drawings and 3D models, CAPP/CAM systems, machine tool collection terminals, tool management systems, MES systems, and measurement and inspection tool data. Data updates trigger with each work order, each workpiece machining operation, sampling inspection step, or tool change. Daily documents include process routes, operation cards, tool lists, CNC programs, first-piece inspection records, patrol inspection forms, and measuring tool calibration records. Fields include tool life (unit: minutes), process dimension tolerances (unit: millimeters), inspection results, CNC program numbers, and other relevant fields.
What Constraints These Characteristics Impose on the Tool Calling and Plugins Link
Multi-source data access requires tools to support API integration with disparate systems and adapt to differences in data formats. High-frequency data updates require tool call triggers to bind to business nodes such as work orders and tool changes, to avoid redundant requests. Diverse document structures require tools to implement dedicated parsing rules for different document types including CNC programs and inspection records. Fields with units require tools to complete unit verification and conversion after a call, to ensure the accuracy of extracted data.
How to Set the Configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapts to multi-type tool calling requirements including operation cards, inspection records, and tool data in metal cutting machining scenarios |
| Workflow/API function-call configuration | Enabled | Required to call external systems to obtain real-time business data such as tool wear and machine tool machining parameters |
| Tool call timeout period | 120–180 seconds | Machine tool and tool management system interfaces have certain response delays, reserve sufficient time for data pulling |
| Concurrent call limit | First 3 entries | The volume of inspection, process, and tool data associated with a single work order is limited, avoid exceeding system current limiting thresholds |
| Tool call context length | 8000–12000 token | Adapts to the context processing rules of FastGPT v4.17.0, covers complete work order-associated data |
| Tool result post-processing rules | Calibrated based on actual measurements | Inspection record formats vary across workshops, adjust field extraction logic based on actual documents |
Three Common Mistakes
- Phenomenon: Connection timeout error returned when calling a locally deployed large model. Cause: The API access address and port of the local large model were not configured correctly, or the corresponding network permissions were not opened.
- Phenomenon: Tool call results are unstable, with returned fields empty or formatted chaotically. Cause: Extraction rules were not set for dedicated fields such as process dimensions and tool wear in metal cutting machining, resulting in failure to accurately extract valid data.
- Phenomenon: 429 status code returned during concurrent calls. Cause: The concurrent call limit was set too high, exceeding the interface current limiting threshold of the MES or tool management system.
How to Verify Successful Configuration
- Submit a single work order test request, check whether the tool call return result includes dedicated metal cutting machining fields such as tool life and process dimension tolerances.
- Simulate concurrent requests for multiple work orders, check whether the interface return status codes are normal, with no current limiting errors.
- Adjust the
toolChoiceparameter toauto, verify whether the tool can automatically match the API of the corresponding data source to complete data pulling. - View the tool call log, confirm that the timeout period setting matches the actual interface response duration, with no frequent timeout prompts.
The values provided are common starting points and should be measured against the reader's own samples.