What this category of data includes
This category covers the full processing workflow for color printing, labels, cartons, flexible packaging, and pharmaceutical packaging. Data sources include customer manuscripts, color management systems, press operation data, ink and substrate batch records, spectrometer test results, and barcode detector reports. Daily documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first article proofing signatures, barcode inspection sheets, and die-cutting and lamination ledgers. Data updates trigger per order, production batch, or plate change. Each document includes clear fields such as version number, batch number, color parameters, and test indicators.
Constraints for Multi-turn Dialogue and Prompt Engineering
High-frequency data updates require retaining only the last 3 production-related records in conversation context. This prevents loading expired batch data. Differences in fields across multiple document types require prompts to explicitly specify the target document type. For example, only extract registration parameters from printing process sheets. This avoids confusion with color data from first article proofing signatures. Single orders bound to multi-stage production data require multi-turn dialogue to automatically associate the current batch number. This links to corresponding ledgers such as imposition sheets and die-cutting records. The need to extract complex test indicators requires prompts to refine field definitions. This prevents the model from mixing up barcode readability and sealing performance standards. Per FastGPT v4.17.0 context management rules, dynamic adaptation to document loading requirements for different batches is required.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Context Retention Rounds | Last 3 production conversation records | Data in this category updates frequently per order and batch, to avoid loading associated data from expired batches |
variables Binding Rules | Bind current order batch number and plate version number | Per FastGPT v4.17.0 variable binding mechanism, multi-stage data in this category must be associated via batch number to accurately locate corresponding documents such as imposition sheets and die-cutting records |
| Prompt Template | Limit extraction of specified fields only from pre-press files and printing process sheets | This category includes multiple document types with large field differences, to prevent confusion between color parameters and barcode test indicators |
messages Format | Pass batch context using the [Role, Content] structure | Multi-turn dialogue needs to associate historical batch information, unify data transfer format to ensure the model correctly identifies it |
chatId Association Rules | Bind chatId to a single production order | Single orders are bound to multi-stage data, isolate conversation contexts across different orders to avoid data cross-use |
| Timeout Setting | 300–600 seconds | This category requires loading multi-dimensional production data, reserve sufficient time for document reading and model processing |
Common Misconfigurations
Three frequent misconfiguration issues:
- Calling a conversation node returns empty content or an
emptyfield. This occurs when thevariablesparameter for the current order is not bound. The model cannot locate production documents for the target batch. - The conversation cannot access Feishu online document content. This occurs when document reading permission binding rules are not configured, or the Feishu document reading format is not specified in the prompt.
- Enabling the recommended questions feature does not generate suggested questions. This occurs when the context retention rounds setting is too high. The model cannot extract core user requests from redundant historical conversations.
How to Verify Correct Configuration
Follow these steps to confirm proper setup:
- Manually input the batch number of a test order. Check that conversation responses only include document fields associated with that specific batch.
- Confirm that
chatIdis bound to a single production order. Conversation sessions across different orders do not share context data. - Trigger a test request without bound
variablesparameters. Verify that the system returns a clear error prompt. - Adjust the context retention rounds setting. Confirm that model responses only use historical conversation content from the specified rounds.
The values provided here are common starting points, and should be evaluated against internal production samples.