What Data for This Category Looks Like
Dyeing and finishing business data sources include customer color samples, formula libraries, dye chemical batches, dye vat control equipment, colorimeters, setting machines, and environmental monitoring systems. Daily documentation covers dyeing formulas, chemical weighing records, dye vat curves, proofing confirmation sheets, color difference reports, setting process sheets, and sewage ledgers. Data updates occur per vat, per batch, or per shift. Single-batch documents include fields such as dye ratio, temperature curve, and holding time. Units include degrees Celsius, minutes, kilograms, and other commonly used industrial measurement standards. Data updates in real time alongside the production process.
What Constraints These Characteristics Impose on Multi-Turn Dialogue and Prompt Words
This category’s batch-oriented high-frequency data and varied document formats create multiple constraints for multi-turn dialogue and prompt word configuration. First, exclusive data for a single vat or single batch must be bound via chatId to avoid mixing formulas and process parameters across batches. Second, documents include long tables, curve data, and structured ledgers. Prompt words must clearly define output formats to prevent key parameters from being truncated. Third, most data comes from industrial equipment and real-time ledgers. Prompt words must strictly limit use to only the uploaded documents for the current batch, and prohibit introduction of external irrelevant information. Finally, the multi-turn production adjustment process must fully retain dialogue history. Ensure the messages array covers the complete process correction flow, and avoid loss of adjustment records.
How to Set Configurations
These configurations are based on FastGPT v4.17.0:
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind the current dye vat number and production batch number, for example Dye Vat C03_202506151000 | Ensure multi-turn dialogue only associates document data for the current batch, avoiding cross-batch formula confusion |
messages | Retain the most recent 15–20 turns of dialogue content, with an upper limit of 10000 token | Cover the complete adjustment process from proofing to production for a single dye vat, avoiding loss of key adjustment records |
variables | Inject the current batch's dyeing formula, dye vat curve, and color difference report, using the top 3 most relevant document fragments | Limit dialogue to only use valid data for the current production batch, reducing irrelevant information interference |
| Timeout Setting | 120 seconds | Adapt to the response time for dye vat parameter queries, avoiding dialogue interruption due to excessive waiting |
| Output Format Validation | Enabled, force full Markdown table output | Adapt to the tabular display requirements for dyeing process parameters, avoiding data truncation |
Three Common Misconfigurations
- Phenomenon: The AI’s output Markdown process parameter table is truncated, with
...[hide X char]displayed at the end. Cause: The configured output length limit is too short, not adapted to the long table content of dyeing process documents. - Phenomenon: The dialogue returns the error
insufficient_quota Current group upstream load is saturated, please try again later. Cause: No request rate limiting rules are configured, and review requests from multiple dye vat productions in a short period exceed the group quota. - Phenomenon: After the client closes the SSE connection, the dialogue record is not saved to the database. Cause: Dialogue data persistence configuration is not enabled, and the automatic save logic for the
messagesarray is not triggered when the request is interrupted.
How to Confirm Proper Configuration
- Initiate a review dialogue for a single dye vat's dyeing formula, check if
chatIdis bound to the unique identifier of the current batch, and confirm that the dialogue history is fully recorded in themessagesarray. - Enter a query containing color difference descriptions, check if the AI's output includes the current batch's dye vat curve and color difference report data, with no irrelevant external information introduced.
- Attempt to interrupt an ongoing dialogue, check if the dialogue record is automatically saved to the database after the SSE connection is closed.
- Generate a Markdown table containing multiple sets of process parameters, check if the output fully displays all parameters, with no truncation prompts.
The values provided are common starting points and should be measured against the reader's own samples.