Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this category looks like
This category of data mainly comes from the medical insurance intelligent monitoring system, fund supervision rule base, medical insurance settlement data, drug and consumable traceability codes, and report clues. The update frequency is monthly. Daily produced documents include audit notices, inspection work drafts, doubt lists, interview records, handling decisions, and rectification reports. Fields covered in a single document include violation description, involved amount, handling subject, rectification requirements, and more. Some documents need to be associated with specific settlement records and traceability code information. The data structure is updated synchronously with adjustments to supervision rules.
What constraints these characteristics impose on the "workflow orchestration" link
Monthly updated data must adapt to batch processing logic to avoid execution timeouts caused by loading excessive historical data at once. Multi-source heterogeneous data requires a unified format conversion node to be configured in the workflow to ensure that settlement data, traceability code information, and document fields match. Different document types correspond to differentiated field filling rules, so independent content generation nodes must be configured for audit notices and handling decisions respectively. The post-audit dominant business logic requires the workflow to support cross-cycle data retrieval, associating historical supervision records with current doubts. The most time-consuming doubt screening link needs to connect data screening, doubt marking, and list generation nodes in series to avoid efficiency drops caused by fragmented links.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow Trigger Timing | Triggered upon completion of monthly data updates | Matches the monthly update frequency of this category, avoids frequent triggers that waste computing resources |
variables | Bind medical insurance settlement data fields, supervision rule IDs, and traceability code information | Directly associates with business data sources to ensure the accuracy and compliance of fields in generated documents |
nodeId | Assign unique identifiers to data screening, doubt marking, and document generation nodes | Facilitates troubleshooting of workflow execution anomalies, quickly locates issues in corresponding links |
| Timeout Setting | 600 seconds | Covers the time requirements of cross-source data retrieval, medical record and prescription retrieval, and complex document generation |
| Result Output Format | Store in directories sorted by document type | Matches the archiving and management requirements of different documents such as audit notices and handling decisions |
| Variable Validation Rules | Match the field validation standards of the supervision rule base | Ensures generated documents comply with business compliance requirements |
Three Common Mistakes
- An error occurs when calling
localStorage.getItem('userId')in the workflow, with the promptlocalStorage is no. The cause is that the FastGPT workflow runtime environment does not support browser-side storage APIs, and local storage variables cannot be read directly. - When configuring a workflow image display node, only passing the image URL without binding the corresponding rendering parameters causes the interface to fail to load the image. The cause is that the image URL was not correctly associated with the node's
variablesparameter, and the image loading logic was not triggered. - Attempting to configure a return thought process in an API-session initiation request fails to obtain the corresponding content. The cause is that the thought process output switch is not enabled in the current workflow orchestration, or the API call does not match the output configuration of the corresponding node.
How to Confirm the Configuration is Correct
- After the workflow is triggered, check the execution logs of each node to confirm that the
variablesparameter has correctly loaded the bound business data. - Verify the
nodeIdidentifiers of each workflow node to ensure that no duplicate unique identifiers exist for each execution link. - Run a test case to generate a single audit document, and check whether the document fields match the preset business data rules.
- Call the API to initiate a workflow test request, and confirm that the returned results meet the configured output format requirements.
The values provided here are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.