What This Category’s Data Looks Like
Data sources for pulp and paper scenarios typically include wood pulp and waste paper batch ledgers, DCS/QCS systems, on-paper machine measurement devices, laboratory test reports, and energy and water treatment system logs. Daily generated documents include pulp mixing sheets, beating operation records, paper machine operation logs, online quality curves, sheet break and product change batch records, and others. Data update frequencies cover real-time (e.g., on-paper machine measurement values), per shift (e.g., team pulp mixing statistics), and per roll (e.g., single roll paper quality test data). Fields in single documents include pulp ratio parameters, beating degree, sheet grammage, moisture content, sheet break duration, and others, with unique identifiers such as batch number and roll number attached.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Data in pulp and paper scenarios is often scattered and has significantly different update cycles. Multi-turn dialogue must align the context window with the data source update cycle to avoid calling expired real-time measurement data. Exclusive documents for single rolls or single batches must be bound to their corresponding batch numbers and roll numbers in dialogue to prevent cross-batch or cross-shift data confusion. Semi-structured data such as online quality curves and beating records require prompt engineering to explicitly specify extracted fields and units to avoid unlabeled vague output results. The context of multi-turn dialogue must be limited to a single batch production cycle to prevent irrelevant data from interfering with audit logic.
Configuration Settings
This configuration is based on FastGPT v4.17.0. Specific parameters and settings are as follows:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind the unique identifier of the current production batch | Ensure multi-turn dialogue is associated with pulp mixing, beating, and quality test data for the same batch, avoiding cross-batch confusion |
messages | Limit context to the last 10 rounds of dialogue or within 8000 characters | Audit in pulp and paper scenarios requires association with multiple recent data sets. Excessively long context leads to response delays, which aligns with real-time audit rhythm |
variables | Pass three fixed variables: current roll number, batch number, paper machine model | Bind exclusive production parameters to allow prompt engineering to accurately match document data for corresponding equipment and batches |
| Maximum session validity | 600–1200 seconds | The single roll production cycle in pulp and paper scenarios usually spans several hours. This range covers the complete single roll audit process and prevents session expiration interruptions |
| Question optimization | Enable automatic professional term completion | The pulp and paper industry has exclusive terms such as beating degree and wet end load. Automatic term completion improves prompt engineering accuracy |
| Single search limit | Top 8 matching documents | The number of documents involved in single batch production is limited. Excessive matching results increase context load and affect response speed |
Three Common Errors
- Phenomenon: After enabling streaming output for the dialogue API, the page only displays the current content and cannot jump to a new page via a link. Cause: No new page jump trigger condition is configured in the streaming response callback logic, only the current container's content replacement event is bound.
- Phenomenon: In multi-turn dialogue, the output from the previous round is not correctly carried into the prompt engineering context of the next round. Cause: The context transfer logic for the
messagesparameter is not correctly bound, or the session context is not associated with the currentchatId, resulting in broken dialogue context. - Phenomenon: The prompt engineering fails to correctly extract fields from online quality curves, and the output results lack key parameters such as grammage and moisture content. Cause: The prompt engineering does not explicitly specify the pulp and paper-specific fields and units to be extracted, and does not limit association with document data for the current batch.
How to Confirm Proper Configuration
- Initiate a test dialogue containing the current batch number, and check whether
chatIdis bound to documents such as the pulp mixing sheet and beating record for the corresponding batch. - Trigger a streaming output test, confirm that response content is returned segment by segment, and that interface operations can jump to the associated quality report page.
- Submit a test question containing professional terms, and check whether the system automatically completes the terms and accurately matches the corresponding documents.
- Test multi-turn dialogue, confirm that the output content from the previous round is correctly carried into the prompt engineering context of the next round, and no data confusion occurs.
The values provided are common starting points and should be measured against the reader's own samples.