What Data for This Category Looks Like
This category of data is primarily sourced from health supervision information systems, medical institution electronic registration systems, complaint and reporting platforms, and law enforcement inspection records, with a monthly update frequency. Commonly processed documents include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, and penalty case files. Single documents contain fields such as the institution’s unified social credit code, license validity period, inspection points, rectification requirements, and law enforcement officer signatures. No additional custom units are used, and most field formats are structured text or form-based content.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
Monthly updated data requires tool calling to align with batch retrieval rhythms, avoiding interface restrictions triggered by high-frequency requests. Structured and form-based documents require tool calling to support field extraction and structured validation, ensuring extracted fields such as license numbers and rectification items comply with format rules. Integration of multi-source data requires plugins to enable cross-system data association, matching law enforcement records with institution registration information. Document generation requires calling corresponding templates, and tool calling must link to preset fields for specific document types, ensuring generated supervision opinions and rectification notices meet business format requirements.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
functionCall mode switch | Enabled | Adapts to the needs of structured field extraction and standardized document generation, ensuring the format of output supervision opinions and rectification notices is compliant |
| Single tool call limit | First 8 entries | Matches the single-batch data scale of monthly batch processing, avoiding overload from cross-system data retrieval |
| Context window length | 8000–12000 token | Accommodates law enforcement records, institution registration information, and template content, ensuring complete information for document generation |
| Timeout threshold | 600 seconds | Adapts to response delays from data sources such as health supervision information systems, preventing call failures from slow data retrieval |
| Result sorting rule | Sort by compliance priority | Prioritizes records of medical institutions with valid qualifications and no historical violations, ensuring accurate core information for document generation |
Three Common Configuration Errors
- Call logs display data acquisition exceptions alongside error reports. The root cause is missing configuration of data source access permissions for health supervision information systems and medical institution electronic registration systems, which prevents tools from pulling monthly updated institution qualification and law enforcement record data.
- The text extraction tool returns the
400 Invalid JSON payload received. Unknown nameerror. The root cause is passing non-standard fields not preset for this category of documents during the call, such as extra custom fields not defined in supervision inspection forms. - Compatibility errors occur when calling the PgVector plugin. The root cause is failure to upgrade the plugin to the latest version adapted to the current FastGPT version, preventing correct storage and retrieval of structured supervision document data.
How to Verify Successful Configuration
- Run a single-institution qualification data extraction test, confirming that extracted fields match actual content in the data source.
- Trigger a batch tool call, confirming that the number of returned results matches the configured single call limit.
- Simulate cross-system data retrieval, verifying that the timeout threshold aligns with the data source’s response speed and no timeout errors occur.
- Generate a standard supervision opinion template, confirming that the generated content includes required fields such as preset law enforcement officer signatures and rectification requirements.
The configuration values provided here are common starting points. They should be evaluated against the target samples and use cases.
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.