What this category of data looks like
Daily documents for this category include establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, food business license applications, and other fixed-format government application materials. These contain required fields such as entity name, residence address, shareholder information, and license type. Data sources include the full-process electronic enterprise registration system, the National Enterprise Credit Information Publicity System, the electronic business license system, and the residence information database. The update frequency is once per day. The data structure is unified, and fields must strictly follow government registration specifications, with no custom content allowed.
Constraints imposed on model access and configuration
Data for this category comes from multiple sources and updates daily. This requires the model access link to support incremental synchronization configuration for multiple data sources, to avoid full synchronization consuming excessive government cloud resources. Fixed-format application materials require the model to accurately identify structured fields. Generated documents must strictly match required items, with no missing fields or format deviations. Government-sensitive data requires access configurations to bind a dedicated security proxy, to ensure data does not leave the government network. Errors in registration and licensing directly affect market entity access, so model-generated content must meet high rigor standards.
How to set configurations
| Configuration Item | Recommended Value Range | Basis for This Setting |
|---|---|---|
maxContext | 8000–12000 token | Covers all contextual content such as establishment registration applications and reference specifications, ensuring the model can obtain complete registration requirements and reference data |
maxTokens | 2000–3000 token | Matches the standard drafting length of a single application document, preventing generated content from being too long to exceed the submission limits of government systems |
temperature | 0.1–0.3 | Reduces the divergence of generated content, ensuring that document formats and fields strictly match government registration specifications, and reducing unnecessary custom content |
AIPROXY_API_ENDPOINT | Proxy address exclusively deployed on the government cloud | Ensures all requested data does not leave the government network, complying with government data security management requirements |
AIPROXY_API_TOKEN | Exclusive access token stored in encrypted form | Restricts only authorized government systems to call the model, preventing sensitive data leaks caused by unauthorized access |
Three common mistakes
- The vector database synchronization progress bar stays unchanged for a long time, and empty results are returned when retrieving historical data from the government system. The cause is that the access permission for the corresponding data source is not configured, or the vector database model format does not match the document format exported by the government system.
- The generated application document only includes the opening section and fails to fill in all required fields. The cause is that the
maxTokensconfiguration value is too low, or the default parameters were reset after updating to FastGPT v4.17.0, resulting in restricted generation length. - Unable to revert to the original configuration after switching the vector model. The interface shows the switch was successful, but retrieval results still use the old model. The cause is that the configuration snapshot of the original model was not retained, or the old model’s cached index was not cleared when forcing a switch.
How to confirm the configuration is complete
- Call the test interface corresponding to
AIPROXY_API_ENDPOINT, verify that the return status code is 200, and confirm the API connection is normal. - Upload a standard establishment registration application sample, generate the corresponding document, and check that all required fields are included and the format matches government requirements.
- Adjust the
maxContextparameter value, upload a test set containing multiple reference documents, and verify that the model can fully load all reference content. - Manually trigger an incremental synchronization, confirm that the synchronization progress completes normally, and meets the data update frequency requirements.
The values given 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.