What data falls under this category
This category involves entities including budget unit finance positions, treasury payment centers, and competent department finance review positions. Staff process documents such as payment applications, fund use plans, invoices, contracts, acceptance receipts, reimbursement approval forms, and payment vouchers daily. Data sources include centralized treasury payment systems, unified budget management systems, electronic invoice platforms, and contract management systems. Updates occur daily. Documents contain core fields such as budget indicators, economic classification, payment amount, and approval status. There is no fixed unified external format. Structured data must be extracted by connecting multiple systems.
What constraints do these characteristics impose on the "workflow orchestration" link
Multiple system data sources require workflows to configure cross-system data pull nodes. This ensures synchronization of the latest payment application, contract, and other data. Daily update frequency requires workflows to set incremental sync nodes. This avoids resource consumption from full data pulls. Diverse document fields require workflows to configure field verification nodes. These nodes check matching between budget indicators and economic classification. The most time-consuming verification and return order processing links require workflows to split automated verification and manual review nodes appropriately. This improves processing efficiency.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Question classification configuration | Divided into three categories: payment application, reimbursement audit, return order correction | Matches core business scenarios and covers main types of daily consultations |
| Data source association | Bind data sources of centralized treasury payment system and electronic invoice platform | Ensure the workflow can read the latest payment and voucher data |
variables configuration | Configure knowledge base association ID and system interface address | Provide callable parameters and data source references for code running nodes |
| Timeout threshold | 600 seconds | Adapts to the average response time of multi-system interfaces and avoids execution interruptions |
| Retry count | 2 times | Responds to temporary system interface fluctuations and improves workflow stability |
| Incremental sync cycle | 1 day | Matches the daily data update frequency and reduces redundant requests |
Three common mistakes
- When workflows only set general question and answer types for question classification, users' payment compliance consulting questions cannot be accurately recalled. No exclusive classification is configured based on keywords of business documents such as payment applications and reimbursement approval forms. This leads to too wide or too narrow recall scope.
- The knowledge base reference cannot be selected in the code running node. No knowledge base association parameter is pre-configured in
variables. This causes the node to fail to read stored knowledge base data. - A 500 status code error occurs during workflow execution. No reasonable timeout threshold is set. Execution timeout caused by interface response delay when connecting to multiple systems is not handled correctly.
How to confirm the configuration is complete
- Submit a test payment application document and check whether the workflow automatically triggers the budget indicator verification node.
- View the
variablesconfiguration item and confirm that the data sources and knowledge base parameters of the corresponding systems are associated. - Simulate a return order scenario and check whether the workflow jumps to the exception handling branch and generates a return order feedback.
- Call the workflow API corresponding to
nodeIdand confirm that the returned result contains the expected output of the payment review node.
The values given 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.