What the data for this category looks like
Data for this category originates from customer color swatches, formula libraries, dye chemical batch records, dye vat control systems, colorimeters, setting machines, and environmental monitoring equipment. Daily documents include dyeing formulas, chemical weighing records, dye vat temperature curves, proofing confirmation sheets, color difference reports, setting process sheets, sewage ledgers, and similar materials. Data updates occur after each production vat run, upon each batch of material entering storage, or at each shift summary. Document fields cover dye ratios, heating duration, color difference ΔE values, sewage COD concentrations, and other metrics, with units including standard industrial units for temperature, time, mass concentration, and more.
Constraints on Multi-turn Dialogue and Prompt Engineering
This category of data uses single vats and single batches as the smallest business units, with a high update frequency. Multi-turn dialogue must strictly bind context corresponding to the current vat number or batch to avoid mixing data across vats. Documents include both structured parameters and unstructured curves and reports, so prompts must distinguish between different logic for parameter queries and content audits. Environmental ledger data requires complete context for compliance audits. Overly long dialogue histories can introduce expired batch data, so reasonable truncation rules must be implemented.
Configuration Settings
These configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Pass the unique identifier corresponding to the current production vat number | Ensures complete isolation of dialogue context for each vat, preventing interference from cross-batch data during audits |
messages | Retain the most recent 20 turns of dialogue and the context corresponding to the vat number | Dyeing batch data updates quickly; overly long context can introduce expired information. 20 turns covers the complete audit process for a single vat |
variables | Bind the dye chemical batch number and colorimeter data ID for the current vat | Quickly associate structured data for the corresponding batch, improving audit efficiency |
| Single search limit | Top 3 results | Dyeing batch data entries are relatively concentrated; too many results can distract auditors |
| Maximum context length | 8000–12000 characters | Needs to cover the complete content of multiple documents including the dyeing formula, dye vat curve, and color difference report for a single vat |
| Dialogue history truncation threshold | 600 seconds | Dialogue intervals are typically short in production scenarios; truncating after timeout avoids redundant data occupying resources |
Three Common Misconfigurations
- Uploading documents via the dialogue box returns a 503 error, and background logs indicate the file upload process completed. The cause is that the
messagesarray does not correctly carry the temporary identifier generated after file upload, leading to front-end verification failure. - When using a strict question-and-answer template, image address fields in the knowledge base are retrieved, but no answer is returned. The cause is that the
variablesdo not have a parsing rule configured for image addresses, and the strict template only matches preset text fields. - System prompts in dialogue do not match the dyeing inspection scenario, leading to deviations in audit logic. The cause is that the system role of the
messagesarray is not bound to a dedicated dyeing inspection prompt, mixing in general question-and-answer logic.
How to Verify Correct Configuration
- Upload the dyeing formula and dye vat curve documents for a single vat, and verify that the dialogue context is only bound to the
chatIdof the current vat number. - Enter a query that includes a color difference report, and check whether structured data and audit suggestions for the corresponding batch are returned.
- Simulate a scenario with 600 seconds of no interaction, and verify that the dialogue automatically truncates redundant context.
- Upload a knowledge base entry of the image address type, and switch the question-and-answer template to verify that this type of field is correctly recognized.
The values provided are common starting points and should be evaluated against the reader's own samples.