What the data for this category looks like
Data sources for pulp and paper category business data include wood pulp and waste paper batch ledgers, DCS/QCS systems, on-paper-machine measurement equipment, laboratory test reports, and energy and water treatment systems. Data update frequencies cover three dimensions: real-time, per shift, and per roll. Daily documents include pulp preparation sheets, beating records, paper machine operation logs, online quality curves, sheet break and product change records, and more. Each document includes fields such as pulp ratio, grammage, moisture content, thickness, and energy consumption, with units including tons, grams per square meter, cubic meters, and kilowatt-hours.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Pulp and paper bidding quotations require integration of multi-batch, multi-dimensional production data. Real-time paper machine operation parameters with strict real-time requirements must be pulled immediately during dialogue. Multi-turn dialogue must retain historical parameters such as pulp preparation and sheet break records submitted by different departments, to avoid repeated confirmation of identical information. Fields and units vary across different data sources. Prompts must clearly distinguish between online quality curve and laboratory report formats to prevent mixed use of parameters. Bidding documents must cover production parameters for multiple paper rolls. Dialogue must gradually collect records from different production links to iteratively refine quotation and document content.
How to set up the configuration
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind the unique identifier of the current bidding project | Isolate dialogue contexts for different bidding projects to avoid cross-project data confusion |
messages | Retain the first 20 dialogue histories | Adapt to pulp and paper bidding scenarios requiring gradual confirmation of multi-batch pulp and paper machine parameters, avoiding context overflow |
variables | Bind dedicated fields for pulp preparation sheets and paper machine operation records | Quickly retrieve category-specific data to fill in quotations and document content |
| Maximum context length | 8000–12000 token | Accommodate text content of multi-batch pulp parameters and quality curve data |
| Tool call timeout | 600 seconds | Reasonable duration for waiting for DCS systems to return real-time paper machine operation data |
| Historical dialogue archiving | Store by bidding project | Facilitate retrospective adjustment of documents and quotation content after project completion |
Three common errors
- Failing to bind the bidding project unique identifier when configuring
chatId, resulting in mixed dialogue history across different projects. This occurs becausechatIdis not used to isolate contexts for different projects, leading to cross-project reuse of multi-turn dialogue parameters. - Receiving a 400 status code (no body) error when calling database tools. This is caused by incorrectly configuring data source permissions for tool calls, or failing to map category-specific pulp preparation sheet and paper machine operation record fields to tool query statements.
- Being unable to delete dialogue records by project dimension when attempting to clear them. This happens because project identifiers are not bound via
variables, so the system cannot identify which bidding project the dialogue to be deleted belongs to, and can only clear all historical records in bulk.
How to confirm proper configuration
- Initiate a query asking for "parameters of a specified wood pulp batch", and check if the dialogue can correctly call the bound data source to return the corresponding content.
- Initiate multi-turn queries: first confirm pulp preparation sheet parameters, then supplement paper machine operation data, and check if the
messagesfield retains the context of previous queries without parameter loss. - Trigger a tool call, wait no more than 600 seconds, and confirm that real-time data from on-paper-machine measurements is returned normally without timeout errors.
- Export the dialogue records, and confirm that only the dialogue content for the current bidding project is included, with no historical data from other projects.
The values provided here are common starting points and should be evaluated against samples relevant to the specific deployment.