What this category of data looks like
Data sources for this category include social insurance management systems, tax social insurance premium collection systems, market entity registration information, and public security and civil affairs data sharing channels. Data is updated daily. Daily business documents include insurance registration forms, payment base declaration forms, staff change forms, social insurance premium verification forms, and personal benefit records. All content uses structured table formats, with core business fields including personnel identity identifiers, insurance participation bases, payment verification cycles, unified social credit codes of employers, and other core business items.
Constraints Imposed by These Characteristics on the Multi-turn Dialogue and Prompt Engineering Link
Multi-source data sources require multi-turn dialogue to integrate context information from different systems, to avoid data silos. The daily update frequency requires that query time periods in dialogue be limited to valid data from the current day and earlier, to prevent calls for expired or unsynchronized records. The structured document format requires prompt engineering to clearly specify fields and formats to be extracted, to ensure results returned by the model comply with business document standards. The time-consuming verification link requires multi-turn dialogue to gradually guide users to supplement necessary information, to avoid information omission caused by too much input in a single request.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Maximum Context Window | First 20 dialogue records or 1000–1500 tokens (calibrated via actual testing) | Adapts to typical session lengths in business scenarios, avoids token limit exhaustion from loading excessive historical content |
| Prompt Variable Binding | Bind employer numbers and query time periods from variables | Precise limitation of data query scope, matches association rules for multi-source data |
| Session ID Binding | Associate with the chatId parameter | Differentiates sessions from different handling staff, avoids context confusion |
| Token Statistics Enablement | Enable input and output token counting | Meets real-time monitoring requirements during sessions |
| Context Filtering Rules | Filter records not updated on the current day | Matches the daily data update frequency, retains the latest valid business data |
Three Common Misconfigurations
- Symptom: No matching insurance registration or payment verification records are returned after initiating a test dialogue. Cause: The prompt does not clearly specify the employer identifier and query time period for the query, so the model cannot accurately locate the corresponding data.
- Symptom: The prompt cannot correctly extract insurance participation or payment time periods for the current year or current month. Cause: The prompt does not impose structured restrictions on the extraction rules for time fields, so the model cannot distinguish vague time expressions.
- Symptom: The session interface does not display the number of input or output tokens. Cause: Token statistics configuration for the
messagesparameter is not enabled, so no counts are accumulated during the session.
How to Confirm Successful Configuration
- Initiate a test dialogue that includes a clear employer unified social credit code and query time period, verify whether the returned results cover the fields of the corresponding business documents.
- Check the token statistics area on the session interface, confirm that input and output token values update in real time with each round of dialogue interaction.
- Test the scenario where the number of context entries is set to 0, verify whether the system does not load historical content from non-current sessions.
- Modify the field extraction rules in the prompt, verify whether the model can accurately extract specified business fields such as insurance participation bases and payment cycles.
The values provided here are common starting points, and should be evaluated against the sample data relevant to the specific deployment.
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.