What this category of data looks like
Data for this category comes from health supervision information systems, medical institution electronic registration systems, complaint reporting platforms, and law enforcement inspection records. Daily processed documents include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, and penalty case files. Data is updated monthly, with a single update covering all current law enforcement records. Data fields include institution name, license scope, law enforcement time, rectification requirements, penalty basis, and more. Field names vary across source systems, and there is no unified standardized field format.
Constraints on HTTP Interfaces and External Systems
Dispersed data sources and inconsistent field formats require HTTP interfaces to adapt to authentication and response parsing rules of multiple systems. The low-frequency monthly data update feature means there is no need to set high-frequency call thresholds, which can reduce interface call costs. Diverse document types and large differences in content length require interfaces to support flexible response extraction logic to avoid redundant data interfering with question-and-answer matching. Law enforcement data has high compliance requirements; failed interface calls may lead to missing supervision basis, so a reliable retry and error capture mechanism must be configured.
Reference only; verify against the target FastGPT release and deployment documentation.
How to Set the Configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer ${Health Supervision System Exclusive API Key} | Standard authentication specification for connecting to health supervision systems |
| Request timeout | 300 seconds | Adapts to the return delay of large-volume law enforcement record data, avoids request interruption due to timeout |
variables | {"target_entity": "medical institution name", "policy_category": "practice license compliance requirements"} | Precisely limits the policy and entity scope for question-and-answer matching |
responseData | Extract compliance clauses and law enforcement basis from supervision opinions and penalty case files | Focuses on the core requirements of policy and regulatory basis Q&A |
| Maximum data per single request | 800–1200 characters | Matches the average length of monthly updated law enforcement documents, avoids request timeout caused by overly large request data |
| Retry count | 2 times | Avoids overloading the supervision system with repeated requests while covering temporary network fluctuation scenarios |
Three Common Misconfigurations
- Symptom: Returns
502 Bad Gatewayerror, interface cannot obtain supervision system data; Cause: A valid public network domain name is not configured, only intranet or dynamic domain name mapping is used, causing FastGPT to fail to access stably. - Symptom:
responseDataextraction result is empty; Cause: The extraction path of the response field is not correctly specified, and compliance clause content from supervision opinions or penalty case files is not matched. - Symptom: Interface call timeout; Cause: A reasonable timeout period is not set, and the delay characteristic of batch law enforcement data return from the health supervision system is not adapted.
How to Confirm Successful Configuration
- Initiate a test request, check that
Authorizationauthentication passes, and the return status code is200 OK. - Verify that the content extracted by
responseDataincludes compliance clauses from supervision inspection forms and rectification notices, and matches the document content stored locally. - Simulate an interface call after monthly data update, confirm that the returned content is synchronized with the latest records from the health supervision system.
- Test concurrent requests, check that the interface has no timeouts or errors, and adapts to the current business call scale.
The values provided are common starting points and should be evaluated 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.