What Data for This Category Looks Like
Data sources for this category include the medical insurance intelligent monitoring system, fund supervision rule base, medical insurance settlement data, drug and consumable traceability codes, and complaint clues. The update frequency is monthly. Daily processed documents include audit notices, inspection work drafts, list of suspicious points, interview records, processing decision documents, and rectification reports. Core fields corresponding to the process of each document are as follows: settlement data includes medical treatment identification and expense details, the rule base includes violation judgment standards, and complaint clues include information on involved subjects. Field types cover both structured and unstructured categories.
What Constraints These Characteristics Impose on the Tool Calling and Plugins Link
Monthly updated data sources require the tool calling knowledge base sync cycle to match the update rhythm, to avoid using expired supervision rules or settlement data. Multiple heterogeneous data sources require tool calling to support adaptation to different formats, such as unified retrieval of structured settlement data and unstructured interview records. Daily documents are mostly formal compliance documents, so responses generated by tool calling must strictly match the format and content specifications of supervision documents. In addition, the links of screening suspicious points and retrieving records in audit scenarios take a long time. Tool calling needs to optimize the retrieval scope to reduce invalid data pulling and improve overall processing efficiency.
How to Set the Configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Supports parallel tool calling requirements in audit scenarios, automatically selects the tool matching the current task |
| Knowledge Base Sync Cycle | 30 days | Matches the monthly update frequency of data sources, avoids using expired supervision rules and settlement data |
| Number of Data Sources per Retrieval | Top 3 Core Data Sources | Prioritizes covering the three highly relevant data sources of medical insurance intelligent monitoring system, settlement data, and rule base, improving retrieval efficiency |
functionCall | Enforce Format Validation | Responses related to audits must match formal document formats; validation can avoid generating invalid or non-compliant content |
| Response Content Validation Rules | Calibrated based on actual testing | Audit standards vary by region, and validation thresholds need to be adjusted based on local supervision rules |
Three Common Mistakes
- Invalid JSON error returned during tool calling, containing illegal control characters. Cause: Newline characters and special symbols in audit-related documents are not escaped, causing the generated tool calling parameter format to not meet specifications.
- Empty response content returned after configuring tool calling. Cause: Core local medical insurance data sources are not retrieved first, and external tools are called directly, failing to match highly relevant data in audit scenarios.
- Frequent timeouts in tool calling tasks. Cause: The number of data sources per retrieval is not limited, and a large amount of non-core historical data is pulled, resulting in excessively long processing time.
How to Confirm the Configuration is Complete
- Manually trigger a tool calling, check if the returned JSON format meets specifications and has no illegal control characters.
- View the knowledge base sync log, confirm that the most recent sync completion time matches the set cycle.
- Verify the retrieval scope of tool calling, confirm that it only covers the three core data sources: medical insurance intelligent monitoring system, settlement data, and rule base.
- Submit a simulated audit consultation, check whether tool calling is automatically triggered and returns matching data source results.
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.