Reference only; verify against the target FastGPT release and deployment documentation.
Data structure for this category
Data sources for this category include medical insurance intelligent monitoring systems, fund supervision rule bases, medical insurance settlement data, drug and consumable traceability codes, and complaint clues. The update frequency is monthly. Daily generated documents include audit notices, inspection work papers, suspicious item lists, interview records, handling decision documents, and rectification reports. Each document contains standardized fields such as suspicious item identifiers, violation types, involved subject information, and settlement detail associations. There are no unified fixed unit restrictions. The appropriate field format must be matched based on the specific audit scenario.
Constraints for tool calling and plugin workflows
Data sources for this category are scattered. The update cycle is fixed. Tool calling must support joint retrieval across multiple data sources. Synchronization strategies must be configured to match the monthly update rhythm. Multiple document types exist. Field requirements are strict. Corresponding generation functions must be bound to different document templates to avoid field mapping errors. Data involves core content of medical insurance fund supervision. Permission control for tool calling must strictly isolate sensitive information. The entire calling process must be fully recorded to support compliance verification.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | Automatic | Adapts to multi-data-source calling requirements. Supports simultaneous retrieval of medical insurance settlement data and fund supervision rule base content |
functionCall | Triggered by document template groups | Calls corresponding generation functions for different document types such as audit notices and handling decision documents |
| Log collection and management | Record all tool calling requests and return results across the entire chain | Facilitates tracing of anomalies and compliance verification during audit document generation |
| Knowledge base content access permissions | Bind to a dedicated supervision knowledge base | Isolates sensitive medical insurance settlement data and complaint clue content |
| Single tool call return limit | Top 5 entries | Prevents excessive data returned in a single call from causing document redundancy |
| Tool call timeout period | 600 seconds | Matches the time consumption requirements of audit data queries. Calibrated based on actual measurements |
Three common configuration errors
- Symptom: Tool calls return a
401 Unauthorizedstatus code. Medical insurance settlement data cannot be retrieved. Cause: A dedicated interface key was not configured correctly. The application identifier was mistakenly used as the calling credential. - Symptom: The suspicious item list generated during sequential execution of multiple tools is missing the violation type field. Cause: Corresponding function calls were not bound according to document types. Field mapping logic is mismatched.
- Symptom: The number of tool call return results exceeds expectations. The generated document contains irrelevant non-audit data. Cause: The single tool call return limit was not set. Too much redundant content is returned by default.
How to confirm the configuration is correctly set up
- Test calls to designated data source tools. Confirm that medical insurance settlement data and fund supervision rule base content can be retrieved normally.
- Generate a single audit notice. Verify the match between document fields and the preset template.
- View tool calling logs. Confirm that all entire chain requests and return results have been fully recorded.
- Verify that unauthorized roles cannot access the content of the bound dedicated supervision knowledge base.
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.