What the Data for This Category Looks Like
Inspection data for steel rolling and finishing comes from slab or billet batches, heating furnaces, mill automation control systems, online thickness and width measuring equipment, surface inspection devices, and MES systems. Daily generated documents include rolling plans, heating schedules, rolling specifications, shape and thickness records, surface quality reports, and quality certificates. Fields covered include batch number, furnace number, shape deviation, thickness tolerance, surface defect level, and others. Units include millimeters, micrometers, tons, and others. Data updates occur in real time per coil or per billet/steel coil, and full coil-level traceability is supported.
What Constraints These Characteristics Impose on the Tool Calling and Plugins Workflow
Data for this category has strong real-time performance, fine coil-level granularity, numerous specialized fields, and specific unit requirements. Tool calling must adapt to high-frequency small-batch data pulling needs, and avoid excessive resource usage caused by bulk data pulling. Additionally, specialized document fields have fixed formats, so plugins must have the ability to parse specific business fields to accurately extract core inspection data such as shape and thickness during audits. Data errors can lead to serious consequences including steel coil downgrading or equipment damage, so tool calling must be configured with verification logic and retry mechanisms to ensure data accuracy and process stability.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapts to rolling inspection scenarios with parallel multi-tool calls, automatically selects matching tools to complete data pulling and auditing |
| Workflow/API function-call configuration | required | Forces tool calls to complete inspection and record auditing, avoiding pure text responses that cannot cover specialized business logic |
| Single tool call timeout | 30–60 seconds | Matches typical response times for mill data pulling and MES queries, avoiding excessive waiting that disrupts real-time auditing workflows |
| Tool call retry count | 2 times | Addresses temporary network fluctuations or interface jitter, while avoiding excessive retries that cause process blocking |
| Context window size | 8000–12000 token | Adapts to the multi-field data length of rolling inspection documents, accommodating complete batch inspection records |
| Tool return result filtering rule | Retain core inspection fields | Reduces redundant data occupying the context window, focusing on key audit items such as shape deviation, thickness tolerance, and surface defects |
Three Common Misconfigurations
- Symptom: Calling a locally deployed m3e model returns empty results or fails to load, with logs showing parameter verification failures. Cause: In FastGPT v4.17.0 and later versions, the path verification logic for openapi-deployed local models was updated, and the model path parameter in custom configurations was not adjusted accordingly.
- Symptom: The searxng plugin returns empty search results, with the interface showing no matching content. Cause: No data source filtering rules were configured for searxng, so the retrieval scope does not cover industry documents related to rolling processes.
- Symptom: The chart tool generates an empty rolling trend chart after being called. Cause: No correct time granularity field was specified, such as not binding the timestamp field for each coil's rolling process, so the tool cannot match valid data sequences.
How to Verify Correct Configuration
- Initiate a simulated single-coil billet inspection request, and check whether tool call logs correctly pull MES system data and online inspection records for the corresponding batch.
- Access the model configuration page, confirm that the deployment path and configuration parameters of the local m3e model match, with no verification error prompts.
- Manually trigger a searxng plugin call, enter industry keywords such as "hot rolled shape control specifications", and check whether matching professional documents are returned.
- Trigger a chart tool call, confirm that passed parameters include valid business fields such as shape deviation and rolling duration, with no null values or invalid formatted data.
The values provided are common starting points and should be measured against the reader's own samples.