What the data for this category looks like
This category of data is sourced from the road transport administration system, the national public service platform for dynamic information of road transport vehicles, and the vehicle and practitioner database, and is updated daily. Documents routinely generated and processed include business license application documents, vehicle technical files, driver qualification materials, safety production management systems, road transport business licenses, and more. Document fields include the unified social credit code of the operating entity, vehicle license plates and technical parameters, driver qualification numbers, safety production system clauses, licensed business scope and site conditions, etc. The field boundaries of different documents are clearly defined, and matching must be performed according to the specific requirements of the approval process.
What constraints these characteristics impose on the "model integration and configuration" link
The daily update feature of the data requires that a real-time data synchronization mechanism be configured during model integration, to avoid generating documents using expired vehicle or practitioner information. The field differences across multiple document types require that the model support matching corresponding field extraction rules based on document type, to prevent cross-document field confusion. Since the data sources involve multiple government systems, permission adaptation and format compatibility must be ensured during integration, to avoid data pull failures or format exceptions. Document generation must strictly align with the field requirements of the approval process, and the model's context processing must cover the associated information of different documents to ensure the generated content complies with the normative standards of access review.
Reference only; verify against the target FastGPT release and deployment documentation.
How to set the configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Must cover the associated information of multiple types of documents including operating entities, vehicles, personnel, and safety systems, to avoid missing required fields due to context truncation |
maxTokens | 2000–3000 characters | Adapts to the standard generation length of a single approval document, ensuring all required fields and necessary explanatory content are included |
quoteMaxToken | 1500–2000 token | Must reference vehicle and personnel data from government systems as the generation basis, limit reference length to ensure contextual logic reasonableness |
temperature | 0.1–0.3 | Approval documents require strict standardization; reduce generation randomness to ensure content complies with the fixed format and requirements of government documents |
AIPROXY_API_ENDPOINT | Fill in according to the address of the connected large model proxy service | Adapts to domestic large model access requirements, supports forwarding API requests via proxy address |
AIPROXY_API_TOKEN | Fill in according to the valid token generated by the proxy service | Used for identity verification, ensuring requests are legally forwarded and processed |
Three common configuration errors
- The interface displays an invalid token, and model integration cannot be completed. The cause is that
AIPROXY_API_TOKENis not configured correctly, or the token generated by the proxy service is not bound to the corresponding large model permission, resulting in identity verification failure. - The generated document lacks vehicle technical parameters or practitioner qualification fields. The cause is that the value of
maxContextis too low, and vehicle or personnel data from the national public service platform for dynamic information of road transport vehicles is not fully loaded, leading to incomplete field extraction. - The generated content has format confusion or redundant clauses. The cause is that the value of
temperatureis too high, causing the model-generated document to deviate from the fixed specifications of government documents, increasing the risk of approval rejection.
How to confirm the configuration is complete
- Test calling the model to generate a single business license application document, and verify whether the generated content includes the required fields of operating entities, vehicles, personnel, and safety systems.
- View the data synchronization log to confirm whether the vehicle and practitioner data pulled from the road transport administration system daily is updated normally, with no missing or expired content.
- Verify the connectivity of the proxy service, send a test request via a tool to confirm that
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENcan normally complete identity verification and request forwarding. - Adjust the
temperatureparameter to 0.2, generate the same type of document multiple times, check the format and field consistency of the generated results, and confirm there are no obvious random deviations.
The values provided here are common starting points and should be evaluated 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.