What the data for this category looks like
Pulp and paper category data primarily comes from wood pulp and waste paper batch archives, DCS/QCS control systems, online measurement equipment for paper machines, laboratory testing systems, and energy and water treatment systems. Daily associated documents include pulp preparation sheets, beating records, paper machine operation logs, online quality curves, laboratory test reports, and sheet break and product change batch records. Data update cycles span three dimensions: real-time, per shift, and per roll. Fields include pulp ratio parameters, paper machine operating speed, grammage and moisture indicators, sheet break duration, and more. Field names and units vary by document type, with no unified fixed standard.
What constraints these characteristics impose on tool calling and plugins
Pulp and paper data is scattered across multiple systems. Tool calling must connect to multiple data sources such as DCS/QCS, laboratory systems, and energy systems simultaneously. Plugins must support parallel calling of multiple interfaces. The update cycles of different documents vary significantly. Real-time online quality data requires short-interval pulling. Pulp preparation sheets and product change records are updated per shift or per roll. This requires toolChoice to support a calling mode that combines dynamic triggering and scheduled synchronization. Document fields have no unified specification. Tool calling must automatically adapt to the formats and units of different fields such as pulp ratios, paper machine speeds, grammage and moisture indicators to avoid parsing errors. For maintenance Q&A in emergency scenarios such as sheet breaks and unexpected shutdowns, tool calling response delays must meet the real-time requirements of production scheduling.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto (real-time anomaly scenarios), functionCall (scheduled synchronization scenarios) | Adapts to varying data update cycles in pulp and paper scenarios, supports a calling mode combining real-time pulling and scheduled synchronization |
| Single tool call timeout | 30–60 seconds | Controls real-time data response delays, matches the real-time requirements of paper machine production scheduling |
| Tool call result cache duration | 5–15 minutes (real-time data), 8 hours (per shift/per roll data) | Matches the update frequency of corresponding documents, avoids using expired business data |
| Number of parallel tool calls | first 3 | Reduces system resource usage, adapts to the calling priority of scattered data sources |
| Trigger rule matching threshold | 0.85–0.95 | Differentiates production anomalies from normal fluctuations, avoids false triggering of tool calls |
| Workflow/API function-call configuration | Binds specified interfaces of DCS/QCS and laboratory systems | Accurately pulls core business data for pulp and paper scenarios |
Three common misconfigurations
- Symptom: An error is returned when an API call is made for Q&A covering a specific equipment maintenance workflow, but the test run within the application configuration works normally. Cause: Interface permissions for multiple data sources were not configured for the pulp and paper scenario. The test only called a single system interface, while the online call triggers a complete workflow that depends on multiple systems.
- Symptom: After upgrading FastGPT v4.17.0, the bound text embedding model cannot be called correctly. Cause: The model adaptation configuration for the corresponding plugin was not updated. The new version adjusted the model interface format verification rules, and the custom field mapping for the pulp and paper scenario was not synchronized.
- Symptom: After deploying on a Linux server, calling a locally deployed large model returns no results. Cause: The network access permission for the plugin was not configured, the corresponding port was not opened, and the deployment path and port parameters of the local model were not specified.
How to confirm the configuration is correct
- Manually trigger a test Q&A containing production anomaly keywords, check whether tool calls pull business data from corresponding systems.
- View tool call logs, confirm that the calling logic of multiple data source interfaces matches the configured trigger rules.
- Check the execution records of scheduled synchronization tasks, confirm that the data pulling frequency matches the update cycle of corresponding documents.
- Review the plugin permission configuration, confirm that all system interfaces required for the scenario have been bound.
The values provided are common starting points and should be measured against the reader's own samples.