What this category of data looks like
Data for this category originates from the road transport administration system, the national road transport vehicle dynamic information public service platform, and the vehicle and practitioner database. Update frequency is daily. Routine documents include business license applications, vehicle technical files, driver qualification materials, safety production management systems, and road transport business licenses. Fields cover enterprise main body information, vehicle technical parameters, practitioner qualifications, business site conditions, license validity period, and no additional custom extended fields.
Constraints on multi-turn dialogue and prompt engineering workflows
Multiple and scattered data sources require clear distinction of call permissions for different data sources during multi-turn dialogue, to avoid cross-system information leakage. The daily update feature requires automatic filtering of expired data in dialogue context, to ensure returned license information and vehicle dynamics are up to date. Diverse routine document types require pre-classified prompt guidance, dividing consultation scenarios into sub-scenarios such as application material verification, qualification review, and license status query. Wide field coverage requires multi-turn dialogue to guide users to provide corresponding fields step by step according to business links, avoiding requesting excessive information at once, which may interrupt consultation.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Enable and pass a unique session identifier | Enables multi-turn dialogue context association, supports session tracking for backend logs |
messages | Retain the first 10–15 rounds of dialogue content | Covers the complete business process of road transport business license consultation, prevents loss of critical context |
variables | Bind exclusive variables such as enterprise unified social credit code, vehicle license plate number | Accurately matches query conditions for corresponding data sources, improves information acquisition efficiency |
| Session timeout period | 1800 seconds | Adapts to the business processing cycle of license consultation, prevents forced session interruption mid-process |
| Prompt scenario classification | Divide into application, modification, annual inspection, qualification verification | Matches different types of routine documents, optimizes multi-turn dialogue guidance logic |
Three Common Misconfigurations
- Phenomenon: Session identifier not displayed in dialogue logs, multi-turn dialogue context is lost. Cause:
chatIdparameter not correctly passed in API calls, preventing the system from associating multi-turn sessions. - Phenomenon: Form nodes display abnormally in the dialogue interface, unable to properly render corresponding qualification fields. Cause: No adaptation made for exclusive fields of road transport business licenses, using generic rendering logic directly.
- Phenomenon: After a user accessing via a non-login link deletes a dialogue, backend logs are also deleted synchronously. Cause: No log retention rule configured for non-login sessions, default behavior synchronously deletes session data from both user end and backend.
How to Confirm Configuration is Complete
- Initiate a dialogue including enterprise qualification query, verify that backend logs include the
chatIdparameter to confirm normal session association. - Initiate multi-round progressive consultation, verify that dialogue context retains the previous round’s query information to confirm the
messagesparameter configuration takes effect. - Submit a deletion operation for a non-login session, verify that backend logs retain session records to confirm log retention rule configuration is correct.
- Trigger form node calls, verify that rendering logic for exclusive fields such as vehicle technical files and practitioner qualification materials matches the business scenario.
The values provided here are common starting points and should be evaluated using samples from the actual 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.