Data Profile for This Category
Data for this category comes from registered process documents, raw material batch ledgers, DCS control systems, weighing systems, LIMS laboratory information management systems, chromatography data systems, and QMS quality management systems. Data updates trigger per production batch and each process step. Daily documents include batch production records, material balance ledgers, reaction and purification process records, cleaning validation records, impurity profile reports, and deviation and change control documents. Core fields include reaction temperature, stirring speed, feeding amount, impurity content, and solvent residue amount. Corresponding units are degrees Celsius, revolutions per minute, kilograms, milligrams per kilogram, and milligrams per liter.
Constraints Imposed on Workflow Orchestration
The data feature of updating per production batch and process step requires workflows to bind to the context of the corresponding batch to avoid mixing data across batches. Multi-source heterogeneous data sources require format alignment within workflow nodes. This ensures fields extracted from systems such as DCS and LIMS can be uniformly recognized. Core documents such as impurity profile reports contain complex chemical parameters. Workflows must support filtering and associating content by field to meet compliance control requirements. Associated queries for deviation and change documents must be limited to the current batch scope to prevent cross-batch compliance risks. A single workflow call must cover associated inspection records for multiple reaction steps to avoid missing maintenance basis for key process nodes.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Context window size | 800–1200 characters | Adapts to the single-page document length of batch production records and impurity profile reports, and covers core process parameters for a single batch |
| Node connection rules | Connect in process order, with right-side connection points accepting preceding output | Matches the linear process logic of active pharmaceutical ingredient manufacturing. nodeId is used to mark the unique identifier of each process node |
| Automatic question trigger condition | Trigger when the dialog box is opened | Meets the real-time query needs of equipment inspection. variables can pass the current equipment number and batch number |
| Knowledge base recall limit | Top 6 entries | Balances retrieval efficiency and information completeness, matching the average number of associated documents for a single batch |
| Failure retry count | 3 times | Addresses temporary connection abnormalities in DCS and LIMS systems, ensuring workflow stability |
| Variable binding rule | Bind core fields of the current batch | Extracts corresponding parameters from raw material batch ledgers, ensuring query content fits the current production scenario |
Three Common Misconfigurations
- Symptom: After restoring a backup project, the background knowledge base cannot display associated documents for the corresponding batch. Cause: The batch parameter of the backup node is not bound via
variables, causing context matching to fail. - Symptom: Logical reversal occurs after workflow nodes are connected, causing equipment inspection processes to execute out of order. Cause: Node right-side and bottom-side connection points are mixed up, and connection rules are not configured according to the node order marked by
nodeId. - Symptom: When the associated LIMS data is empty, the workflow still triggers the large language model to generate redundant responses. Cause: No intercept branch for empty knowledge bases is set, leading the process to perform invalid queries.
How to Verify Correct Configuration
- Test binding the
variablesparameters for the current production batch, check whether the workflow automatically loads documents for the corresponding batch. - Drag and connect nodes, verify that right-side connection points only accept linear processes, and bottom-side connection points are used for branch judgment.
- Simulate a scenario where the knowledge base is empty, confirm that the workflow terminates directly or returns a preset prompt, and does not trigger large language model searches.
- After restoring a backup project, check whether the node configuration marked by
nodeIdmatches the original process, ensuring data integrity.
The values provided are common starting points and should be measured against the reader's own samples.