What the Data for This Category Looks Like
The data for this category comes from customer manuscripts, color management systems, printing press operation data, ink and substrate batch records, spectrometers, and barcode detectors. Daily documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first article approval samples, barcode inspection reports, die-cutting and lamination process records. Data is updated per order, per production batch, or each plate change. Fields include plate version, color parameters, batch numbers, process inspection values, and others. There are no fixed unified units, and they vary based on process type.
What Constraints These Characteristics Impose on the Workflow Orchestration Link
Data for this category is updated frequently and triggered per order, production batch, or plate change. Workflow orchestration must support dynamic parameter binding to avoid reliance on static, fixed document content. Data covers process and inspection information across all pre-press, printing, and post-press processes. Workflows need to integrate multi-source heterogeneous data, and synchronize imposition parameters, color ratios, barcode rules, and other content to the bid document and quotation preparation link. Misprinted plates or barcode abnormalities will lead to full batch scrapping. Workflows must embed pre-check nodes to conduct compliance checks on core parameters. This category also requires simultaneous handling of content versions, colors, and packaging structures. Workflows must support parallel circulation and verification of multi-dimensional parameters.
How to Configure the Workflow
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Bind order number, plate version, and substrate batch number as global variables, with values taken from real-time collected process data | Adapt to the data update rhythm per order or plate change, avoid using static fixed parameters |
nodeId | Bind the nodeId of the knowledge base search node, or dynamically pass the target knowledge base ID via variables | Support passing the knowledge base ID as a parameter to the workflow, adapt to different customers' knowledge base needs |
| Single search limit | Top 5 entries | Adapt to the retrieval needs of packaging process parameters, avoid returning excessive redundant information |
| AI Q&A node input | Receive the complete output of the text splicing node, set a single input limit of 800–1200 characters | Adapt to the content length of documents such as pre-press files and process sheets, avoid truncating key information |
| Code execution module | Configure streaming output timeout to 120 seconds | Adapt to the response duration of printing process parameter calls, avoid interrupting the workflow due to timeout |
| Pre-check node | Trigger condition: first article approval sample inspection result is qualified | Avoid issues such as misprinted plates or barcode abnormalities, reduce the risk of full batch scrapping |
Three Common Misconfigurations
- Phenomenon: The AI chat node does not receive the initial user's bid demand question, and only returns preset generic replies. Cause: The output of the judgment node or the initial user question is not bound to the input parameters of the AI chat node via
variables. - Phenomenon: The AI Q&A node cannot receive the complete content passed by the text splicing node, and the input field displays empty on the interface. Cause: The output of the text splicing node is not correctly bound to the input parameters of the AI Q&A node, or parameter passing is not implemented via
variables. - Phenomenon: The knowledge base search node does not use the specified knowledge base ID, and returns results unrelated to the current order. Cause: The target knowledge base ID is not bound via
variablesornodeId, and the platform's default knowledge base configuration is used.
How to Verify a Correct Configuration
- Start a simulated order workflow, check whether the order number and plate version parameters bound via
variablesmatch the test data. - After running the text splicing node, view the input logs of the AI Q&A node to confirm that the complete content has been received.
- Call the code execution module to verify whether streaming output is generated, or whether the response is completed within the set duration.
- Trigger the pre-check node, confirm that the workflow proceeds to the bid document and quotation preparation link only after the first article approval sample inspection is passed.
The values provided are common starting points and should be measured against the reader's own samples.