What the data for this category looks like
Data for this category originates from the Chinese Center for Disease Control and Prevention Information System, medical institution HIS and infectious disease reporting systems, and laboratory testing systems. The update frequency is daily. Daily documents include infectious disease report cards, epidemic analysis reports, case correction records, clustered epidemic reports, and epidemiological investigation reports. Data fields include case unique identifiers, diagnosis time, reporting units, correction status, test results, and other relevant fields. Fixed formats must be strictly followed in accordance with legal reporting rules.
What constraints these characteristics impose on the tool calling and plugins workflow
Multi-source data access requires plugins to support docking with multiple heterogeneous system interfaces, and to adapt to interface authentication and data formats of different systems. The daily update frequency requires scheduled tasks for tool calling to align with the daily update rhythm, preventing data lag. Legal reporting field rules mandate mandatory verification of required fields such as case number and diagnosis time during tool calling, and block requests that do not meet the specified format. The backtracking requirement for correction records requires plugins to support querying historical data by case identifier, ensuring the completeness of ledger summary.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|
Reference only; verify against the target FastGPT release and deployment documentation.
| Single tool call timeout | 300 seconds | Matches the batch processing duration of Center for Disease Control data summary, avoiding call interruptions due to excessive data volume |
| functionCall | Enabled | Enforces structured output of report fields, meeting the format requirements of legal infectious disease reports |
| Retry count | 2 times | Addresses temporary interface fluctuations, preventing ledger generation interruptions caused by single call failure |
| Scheduled trigger interval | 24 hours | Matches the daily data update frequency, ensuring the timeliness of ledger data |
| Result verification threshold | Calibrated based on actual testing | Adapts to differences in Center for Disease Control data formats across regions, ensuring accurate field matching |
Three common configuration errors
- Calling a tool interface returns an HTTP 200 success status, but no valid data for the ledger or report is obtained. The cause is that the
functionCallparameter is not configured correctly, resulting in unstructured data returned by the interface failing to be correctly parsed into ledger fields. - A scheduled task fails to retrieve the latest corrected case data after triggering. The cause is that the scheduled trigger interval is set shorter than the data update frequency, resulting in the data source not completing daily data synchronization when the call is made.
- Authentication failure occurs when calling a third-party Center for Disease Control interface. The cause is that the application identifier parameter of the interface is not configured correctly, resulting in the request failing to pass the authentication check of the third-party system.
How to verify a complete configuration
- Manually trigger a tool call, verify that the returned structured data includes the required fields of the infectious disease report card, and that the format complies with legal requirements.
- Review tool call logs, confirm that all configured data source interfaces can return data normally, with no authentication or timeout errors.
- Compare daily updated data source data with the generated ledger, confirm that the data coverage range and update frequency match.
- Simulate an abnormal interface response, verify that the plugin triggers the preset retry mechanism and can normally retrieve data after retries.
The values provided 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.