What data looks like for this industry
Typical data sources for pulp and paper manufacturing include wood pulp and waste paper batch ledgers, DCS/QCS control systems, on-paper machine measuring equipment, laboratory quality inspection reports, and energy and water treatment systems. Daily retained documents include pulp preparation sheets, beating operation records, paper machine operation logs, online quality curves, and sheet break and product change ledgers, among others. Data update frequencies are divided into real-time (paper machine operating parameters), shift-by-shift (team production records), and per roll (finished roll quality inspection data). Common fields include pulp beating degree (°SR), sheet grammage (g/㎡), moisture content, thickness (mm), plus identifying information such as batch numbers and timestamps.
What constraints these characteristics impose on tool calling and plugins
Multi-source heterogeneous data sources require tool calling to support API interfaces for different systems, avoiding the limitations of only adapting to a single data source. Data sources with different update frequencies require plugins to support two calling modes: real-time parameters need active pushing or short-interval polling, while batch and roll-level data can be pulled at fixed intervals. Diverse document formats require tools to parse structured tables, time-series curve data, and plain text logs, and cannot rely solely on generic JSON parsing rules. Additionally, quality issues are usually tied to specific production batches or sheet break events, so tool calling needs to support triggering by production nodes to accurately locate the root cause of problems. Production environments also have high response time requirements, so the time taken for tool calling must be controlled within an acceptable range to avoid impacting on-site production adjustments.
How to set up configurations
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Automatically select the tool suited for the current traceability issue, no manual specification of calling targets, adapts to complex traceability scenarios with multiple data sources |
| Workflow/API function-call configuration | enabled | Enable multi-tool function calling capabilities, supports pulling pulp preparation sheets, querying online quality curves, retrieving laboratory reports, and other types of data sources |
| Tool call timeout | 30–60 seconds | Real-time paper machine parameters have high timeliness requirements; a timeout will cause traceability results to lag, failing to support rapid on-site production adjustments |
| Number of data items returned per tool call | Top 15 | Avoid returning too much historical data that causes context overflow, while covering enough production node information required for traceability |
| Request format support | Configure both JSON and application/x-www-form-urlencoded | Cover access requirements of different data sources; some legacy production systems only support form-format requests |
| Embedding model adaptation | Select a Chinese model that supports professional terminology, match embedding dimension with vector database | Adapt to professional terminology in the pulp and paper industry, ensuring accurate semantic understanding of quality traceability questions |
Three common misconfigurations
- Symptom: Tool or intelligent question answering interface returns 404 or 500 errors. Cause: Production environment domain names and interface paths are not correctly configured; configurations from local debugging environments cannot be directly migrated to production systems.
- Symptom: Quality data fields returned by tool calls are missing. Cause: Field mapping rules unique to pulp and paper manufacturing are not adapted; dedicated fields such as beating degree (°SR) and grammage (g/㎡) are not correctly identified, leading to failure to extract target data.
- Symptom: Plugins cannot connect to internal enterprise DCS systems. Cause: Only JSON format request headers are configured, and application/x-www-form-urlencoded format is not supported, which does not meet the access requirements of some production systems.
How to confirm proper configuration
- Initiate a simulated quality traceability request to verify whether the tool can automatically pull pulp preparation sheets and beating records for the corresponding batch.
- Check tool call logs to confirm that valid data is returned within 30–60 seconds, with no timeout errors.
- Configure different request formats to verify whether the plugin can normally send requests in JSON and application/x-www-form-urlencoded formats.
- Trigger a simulated sheet break event to verify whether the tool can automatically call data sources at the corresponding node for problem traceability.
The values provided here are common starting points and should be evaluated against the reader's own samples.