What Data Falls Under This Category
Core data for this category comes from the centralized treasury payment system, unified budget management system, electronic invoice platform, and contract management system. The update frequency is daily.
Documents processed daily include payment applications, fund use plans, invoices, contracts, acceptance receipts, reimbursement approval forms, and payment vouchers. Core fields include budget indicators, economic classification codes, payment amounts, approval status, and business-related order numbers. All data is generated around the audit and execution process of single fund payments.
Constraints on HTTP Interfaces and External Systems
Data for this category is multi-source, dispersed, and tied to individual transactions. This requires HTTP interfaces to support pulling data from multiple systems and accurately passing single-business identifiers.
The daily update frequency means interface call volumes must align with daily batch or scheduled business rhythms. This prevents excessive calls that disrupt system stability.
The audit chain for single payments is complex. Interfaces must pass metadata for associated documents such as invoices and contracts. Because errors involve fund security, interfaces need complete parameter validation and exception return mechanisms. This ensures every call’s business logic aligns with fiscal regulations.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setup | Rationale |
|---|---|---|
Authorization | Bearer {fiscal system docking token}, valid for 12 hours | Aligns with authentication specifications for fiscal department interfaces, to secure interface calls |
variables | Bind payment application numbers, budget indicator codes | Accurately locate single treasury payment and reimbursement audit transactions, matching the single-business processing logic of this category |
responseData | Extract payment status, rejection reasons, payment voucher numbers | Focuses on core business results for this category, to facilitate subsequent audit and reconciliation operations |
| Interface timeout period | 600 seconds | Fiscal business involves multi-system verification processes, requiring longer response wait times |
| Cross-origin access settings | Add docking system domain names to the allowlist | Meets cross-origin security requirements for third-party systems calling interfaces via browsers |
Three Common Misconfigurations
- Phenomenon: Browser interface calls return cross-origin errors, such as 403 status codes or CORS block prompts. Cause: Docking system domain names were not added to FastGPT’s cross-origin allowlist, violating browser same-origin policy.
- Phenomenon: No valid matching results appear after configuring knowledge base references, with empty return fields. Cause: Associated fields for business documents were not extracted via
responseData, so the knowledge base cannot access corresponding business context. - Phenomenon: Interface calls frequently time out. Cause: Interface timeout period was not set to match fiscal business requirements, causing interruptions before multi-system verification processes complete.
How to Verify Correct Configuration
- Initiate a simulated payment application interface call, check if the returned
responseDataincludes preset business fields, to confirm normal parameter passing and return extraction. - Check the cross-origin configuration page, confirm that docking system domain names have been added to the allowlist, and verify that no cross-origin errors appear during browser calls.
- Simulate an abnormal business scenario to trigger a rejection process, check if the business identifiers bound via
variablesare passed correctly, to confirm that interface logic matches business requirements. - Review interface call logs, confirm that the authentication token’s validity period matches the configured value, with no authentication failure records.
The values provided here are common starting points, and should be evaluated against the user’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.