What This Category of Data Looks Like
Data for this category originates from slab or billet batches, heating furnaces, mill automation control systems, online thickness and width measurement systems, surface inspection systems, and MES systems. Data updates occur in real time per coil or per individual steel bar. Daily documents include rolling plans, heating schedules, rolling regulations, shape and thickness records, surface quality reports, and quality certificates. Document fields include coil batch numbers, heating temperatures, rolling speeds, thickness deviations, surface defect types, and more, with corresponding units such as millimeters, degrees Celsius, meters per second, and others. The length of single-coil document content varies based on the complexity of the rolling process.
Constraints Imposed on Tool Calling and Plugin Workflows
The real-time update requirement for this category of data means tool calling must adapt to a high-frequency, small-batch request rhythm to prevent production process disruptions from request timeouts. Full-process documents for a single steel coil include multiple types of business fields, so tool calling must accurately identify and associate the corresponding fields. Failure to do so will lead to incorrect anomaly determination or report drafting. The data update per coil or bar requirement means tool calling must support filtering data by batch dimension, and cannot support indiscriminate cross-batch queries. Additionally, the wide fluctuation in document content length means tool calling must have flexible context adaptation capabilities to avoid truncation of critical business information in long texts.
How to Set the Configuration
This configuration scheme is compatible with FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the single-section content length of rolling regulations and surface quality reports, preventing truncation of critical business fields such as thickness and defect types |
| Workflow/API tool selection | auto | Supports multi-stage tool calling needs, automatically matching tools for batch data query, anomaly determination, report generation, and other tasks |
| Single-Call Context Limit | 15000 token | Matches the full-process data volume of a single steel coil, preventing call failures from context overflow |
| Timeout Period | 30–60 seconds | Aligns with the real-time response rhythm of online inspection data, preventing production process disruptions from excessive waiting time |
| Anomaly Result Verification Rule | Calibrated based on actual measurements | Matches industry standards for shape and thickness deviation determination, ensuring the accuracy of anomaly reports |
| Result Return Format | Structured JSON | Supports automated processing for subsequent report generation, simplifying field extraction for formal document creation |
Three Common Misconfigurations
- Symptom: Empty or inaccurate results after calling the scoring tool for long documents such as complete rolling regulations. Cause: Failure to configure chunking for rolling-specific long documents, resulting in truncation of critical business fields.
- Symptom: Scheduled tool calling tasks are unresponsive, with no results returned after points are deducted. Cause: Failure to configure trigger conditions and execution cycles for tool calling, or failure to bind the corresponding MES data interface.
- Symptom: An error status code is returned after calling the surface defect determination tool. Cause: Failure to match tool input parameters to the field formats of coil batches and online inspection data, resulting in invalid parameters.
How to Confirm Proper Configuration
- Upload the complete surface quality report for a single steel coil, and verify that tool calling correctly extracts preset business fields such as thickness and defect types.
- Trigger a single tool call, and confirm that the response duration of the returned result falls within the range specified in the configuration.
- After setting
toolChoiceto auto, test whether the automatic matching logic in multi-tool linkage scenarios adapts to the rolling workflow. - Submit test data for multiple batches, check the matching degree between tool calling results and original business data, and adjust the verification rules to align with industry determination standards.
The values provided here are common starting points, and should be measured against the reader's own samples.