Characteristics of this category of data
This category of data is sourced primarily from social insurance management systems, tax social insurance premium collection systems, market entity registration information, and shared public security and civil affairs data. It is updated daily. Daily processed documents include enrollment registration forms, payment base declaration forms, personnel change forms, social insurance premium verification notices, and personal benefit records. Document fields mostly involve unified social credit codes, resident ID numbers, payment bases, and enrollment status. Most documents use structured table or fixed template formats.
Constraints for model access and configuration
Data sources are mostly internal business systems, so field formats may be inconsistent. Models must accurately identify structured fields and unstructured explanatory text. High-frequency daily updates require model access configurations to support near-real-time data calls. This avoids processing delays. Document types are fixed, but field verification rules are strict. Configurations must limit models from outputting irrelevant content. This ensures generated documents comply with social insurance management compliance requirements. Cross-system data association requires models to accurately match personnel and unit information across sources. This prevents benefit issues caused by identity verification errors.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Must cover cross-system associated data updated daily to ensure the context contains complete unit and personnel enrollment information |
maxTokens | 2000–3000 token | Corresponds to the conventional generation length of a single social insurance management document to avoid exceeding reasonable length |
quoteMaxToken | 1500 token | Limits the length of referenced business data to ensure core fields such as payment base and ID number are not truncated |
temperature | 0.1–0.3 | Reduces random output deviation to ensure generated document formats and fields comply with fixed management specifications |
toolChoice | auto | Allows the model to automatically choose whether to call tools to complete cross-system data matching, adapting to business verification needs |
vision | Disabled | Documents processed in this category are mostly structured text, so image recognition capability is not required |
Three common configuration mistakes
- Residual think tags in generated documents, with thinking output not disabled. The cause is failure to correctly configure the model's thinking output switch, resulting in unnecessary tags being mixed into the final document.
- Rerank model not triggered during online recall testing. The cause is failure to enable Rerank configuration during the knowledge base indexing phase, or failure to associate the corresponding reordering model during the application phase.
- Identity matching errors in generated personnel change forms. The cause is failure to configure
maxContextto cover complete cross-system associated data, resulting in the model being unable to accurately verify personnel identity information shared by public security and civil affairs departments.
How to verify successful configuration
- Enter the application's model configuration page, check the value range of
temperatureto confirm it meets the requirements for document format specifications. - Initiate a generation test for a single enrollment registration form, verify whether the output content contains all required fields and has no extra non-business content.
- Simulate a cross-system data association query to verify whether the model can correctly match unit and personnel information from different sources, confirming that the tool call configuration is effective.
- View the knowledge base recall log to confirm that there are records of Rerank model calls, verifying that the configurations in the indexing and application phases are synchronized.
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.