What the Data for This Category Looks Like
Business data for batch fine chemical synthesis comes from the formula and process library, raw material batch ledger, reactor DCS system, weighing recording system, LIMS laboratory management system, and warehouse system. Data is updated once per production batch, triggered by each key process step. Daily generated documents include batch production instructions, feeding verification sheets, reaction process records, cleaning records, inspection reports, and deviation and change orders. Core fields include batch identifier, feeding amount (kilograms/liters), reaction temperature (degrees Celsius), reaction duration (hours), residue detection value (ppm), and operator information. The number of associated documents per batch fluctuates with the complexity of process steps.
What Constraints These Characteristics Impose on Workflow Orchestration
The batch-based, multi-step data characteristics of this category require workflows to trigger per production batch, and bind exclusive data sources for the corresponding batch to avoid cross-batch data confusion. Frequently updated process and detection data require workflow nodes to support real-time pulling of the latest data, preventing expired parameters from being used to generate process documents. Multi-type documents and complex field structures require workflows to configure parameter matching rules to accurately extract corresponding fields for drafting content. At the same time, business requirements for formula confidentiality and cross-contamination prevention require workflows to restrict the access scope of variables, so only authorized nodes can call sensitive process parameters.
Configuration Settings
This configuration rule is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Question Optimization | Optimize targeting batch process parameters | Match the exclusive process requirements of single batches in this category, associate formula library data for the corresponding batch |
variables | Bind batch number, reactor ID, raw material batch number | Calibrated through actual testing, covers the core associated fields of workflows for this category |
| Single Search Limit | Top 8 entries | Matches the average number of associated documents per batch for this category |
nodeId | Bind three core nodes: feeding verification, reaction recording, cleaning recording | Ensure workflows only trigger data calls during key steps |
| Maximum Context | 1200–1500 characters | Adapts to the average length of single segments of process documents for this category |
| Timeout Duration | 300 seconds | Prevent node call timeouts from blocking workflow operation |
| Exception Trigger Condition | Trigger deviation report process when residue detection value exceeds safety threshold | Corresponds to prevention and control requirements for cross-contamination and reaction out of control |
Three Common Mistakes
- Workflows stop after running to a specific node. The same workflow fails when processing specific batch data, and the interface displays
Cannot convert undefined or null to object. The cause is that required fields for the current batch are not bound invariables, leading to missing necessary parameters when the node is called. - Historical conversation records cannot be used as code runtime variables. The cause is that the historical context binding configuration for the workflow is not enabled, and conversation content is not mapped to global parameters via the
variablesnode. - Only the output of the AI conversation node can be displayed in the dialog box, and content generated by subsequent nodes cannot be processed. The cause is that the output port of subsequent processing nodes is not connected to the dialog box output node, or the parameter transfer rules between nodes are not configured.
How to Confirm the Configuration Is Correct
- Import complete process data for a single batch, trigger workflow operation, and check whether each core node normally calls the corresponding data source and completes parameter matching.
- Input a residue detection value that exceeds the safety threshold, and verify whether the exception trigger node normally starts the deviation report drafting process.
- View the workflow operation log, and confirm that the fields bound in
variablessuch as batch number and reactor ID have been correctly assigned. - Test multiple consecutive rounds of conversations, and confirm that subsequent workflow nodes can obtain the context content from previous conversations.
The values provided here are common starting points and should be measured against the reader's own samples.