What the data for this category looks like
The data for this category comes from social insurance handling systems, tax social insurance premium collection systems, market entity registration information, and public security and civil affairs data sharing. The update frequency is daily. Commonly processed documents include enrollment registration forms, payment base declaration forms, personnel change forms, social insurance premium verification forms, and personal benefit records. Core fields include insured personnel ID numbers, unified social credit codes of units, payment bases, personnel statuses, and others. Payment bases are measured in yuan. Personnel counts are measured in persons. Format requirements from each system’s interface must be strictly followed.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
The data sources cover multiple government systems. This requires multi-turn dialogue to align with the field formats of different systems in sequence, to avoid field name mismatches. Business data is updated daily. This requires dialogue nodes to pull the latest enrollment and payment information in real time, and cannot rely on fixed historical caches. There are multiple types of documents. This requires prompt engineering to adapt to the mandatory field verification logic of different declaration materials, to ensure accurate review rules for each type of material. Review errors directly affect the rights and interests of insured personnel and the compliance of unit premium payments. This requires multi-turn dialogue to add secondary verification links for identity and labor relations.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Maximum Context Length | 8000–12000 characters | Covers the total field count of multiple documents for enrollment registration and premium payment verification, matches the single-turn dialogue token consumption limit of FastGPT v4.17.0, to avoid truncation of key information |
| Multi-turn History Retention Duration | 7 days | Matches the daily update frequency of business data, ensures that the latest shared data can be called during the review cycle, while avoiding interference from expired data |
| variables Input Parameters | Calibrated based on actual testing | Used to pass core query variables such as unified social credit codes of units and ID numbers of personnel, ensuring the model can associate corresponding business data |
| chatId Session Binding Rules | Bind unique handling batch ID | Associates declaration materials and dossiers of the corresponding batch, ensuring dialogue contexts of different batches do not interfere with each other |
| Prompt Template Verification Switch | Enabled | Automatically verifies the completeness of mandatory items for declaration materials based on the fixed format of document fields, reducing the risk of manual review oversights |
Three Common Misconfigurations
- Phenomenon: The personnel identity verification result returned by the dialogue is empty. Cause: The ID number of the insured personnel was not passed as a query parameter in variables, causing the model to fail to match the corresponding business data.
- Phenomenon: Declaration dossier materials older than 7 days cannot be loaded by the dialogue node. Cause: The default CHATFILEEXPIRE_TIME parameter is set to 7 days, and no adjustment was made based on the business dossier retention cycle.
- Phenomenon: Context crossover occurs in batch-executed multi-turn dialogue nodes. Cause: No independent chatId was bound for each handling batch, causing dialogue histories of different batches to overwrite each other.
How to Verify the Configuration is Correct
- Manually pass test unit unified social credit codes and personnel ID numbers, use the dialogue node of FastGPT v4.17.0 for testing, and check whether relevant information about enrollment registration and premium payment verification can be returned.
- Adjust the CHATFILEEXPIRE_TIME parameter to 30 days, upload test dossiers older than 7 days, and confirm that they can be loaded and parsed normally.
- Configure multiple test sessions bound to independent chatIds, initiate review requests in parallel, and confirm that the contexts of each session do not interfere with each other.
- Check the passing logic of the variables parameter, and confirm that all core business fields have been passed as variables to the dialogue node.
The values provided here 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.