What This Category’s Data Looks Like
This category’s data comes from design history files, device and material batches, MES systems, clean environment monitoring equipment, sterilization equipment, and inspection and calibration systems. Daily documents include production process specifications, batch production records, clean zone operation records, sterilization batch records, inspection reports, software version records, adverse event and traceability materials. Data updates occur synchronously for each product batch or individual device. Clean environment monitoring data follows a fixed update schedule. Document fields include unique device identifiers, material batch numbers, sterilization parameters, clean zone temperature and humidity values, inspection results, and other relevant fields. No unsupported statistical values are included.
How These Characteristics Constrain Workflow Orchestration
Data for this category links to the unique identifier and batch information of each product batch. Workflows must bind batch variables via variables to dynamically match corresponding data sources, preventing cross-batch data confusion. Data update frequency shifts flexibly with production batches, so workflows must support on-demand triggering. Document fields include compliance-critical items such as sterilization parameters and clean zone temperature and humidity. Workflows must include field validation nodes to block abnormal data that violates process specifications. Because errors may impact patient safety and trigger product recalls, workflows must add exception branch handling links to trigger alerts when processes are interrupted.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Bind business variables such as current production batch, unique device identifier, and clean zone number | Dynamically match process specifications and test data for the corresponding batch |
| Maximum number of loop node runs | 10–30 times | Match the standard number of process steps for medical device assembly, avoid invalid loops |
| Maximum input length for batch execution nodes | 800–1200 characters | Adapt to the text length of single-batch production records, prevent node overload |
| Maximum number of workflow runs | 1000 times | Match the default configuration of FastGPT v4.17.0, support multi-batch batch processing needs |
nodeId | Bind the unique identifier of the Feishu Webhook node | Trigger alert notifications in exception branches |
| Node timeout period | 600 seconds | Adapt to time-consuming equipment data retrieval links such as sterilization and clean environment monitoring |
Three Common Misconfigurations
- The phenomenon occurs when a DB node is used to query a database, and the returned result is JSON or a JSON array. The text splicing node cannot directly read field values. The cause is that node output field mapping was not configured via
variables, and fields from the database query results were not bound to workflow variables. - The phenomenon occurs when concurrent call volume reaches 2–3 calls per second, and the MCP node returns a null value. The cause is that no concurrency restriction parameter was configured for the node, and FastGPT’s call current limiting mechanism activates under high concurrency.
- The phenomenon occurs when text is spliced after a loop node and then the Feishu Webhook is called, and the message cannot be sent. The cause is that no variable merging step was added after the loop node, and the spliced text was not correctly written to the workflow global variable, causing the Webhook node to read a null value.
How to Verify Proper Configuration
- Manually trigger a single-batch workflow, and check whether the business variables bound via
variablescorrectly match the process specification documents for the current production batch. - Simulate high-concurrency calls, observe whether node return results include null values or abnormal errors, and adjust concurrency restriction parameters to meet business requirements.
- Test splicing text after a loop node, then call the Feishu Webhook, and check whether the message content includes the output results of the loop node.
- Review workflow running logs, and confirm that the execution duration of all nodes does not exceed the preset timeout period.
The values given are common starting points and should be measured against the reader's own samples.