What this category of data looks like
Data for this category comes from road transport administration systems, the national public service platform for dynamic information of road transport vehicles, and vehicle and practitioner databases. The update frequency is daily. Documents used in daily work include business license applications, vehicle technical archives, driver qualification materials, safety production management systems, and road transport business licenses. Core fields include vehicle identification numbers, qualification certificate numbers, safety production system clauses, business site information, and others. The length of individual materials varies widely, with some archive documents reaching tens of thousands of characters.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering Links
Data sources are numerous and dispersed. Multi-turn dialogue is required to gradually guide users to supplement associated information from different systems, and avoid missing core verification items. The daily update frequency requires the dialogue flow to pull the latest vehicle and practitioner status data in real time, to ensure generated documents match current valid information. Document structures include multiple independent sub-items. Prompt engineering must split generation logic for different stages, corresponding to three types of materials: applications, archives, and qualifications. The large number of fields with strong business attributes requires multi-turn follow-up questions to fill in missing specific fields, ensuring documents meet approval requirements.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 characters | Adapts to the long text characteristics of road transport documents, prevents key information from being truncated |
| Single recall count | Top 6 entries | Covers the three core business data types of vehicles, personnel, and safety systems, meets basic approval needs |
variables preset | Bind fixed fields such as vehicle identification number, qualification certificate number | Reduces repeated data entry, ensures generated materials match real enterprise qualifications |
chatId binding | Associate session unique identifier | Distinguishes approval processes for different enterprises, prevents context confusion |
| Conversation history truncation threshold | Within 30 minutes | Adapts to the one-day processing rhythm of road transport license approval, retains valid conversation information |
Three Common Mistakes
- Returned document materials lack core fields after calling the API. The cause is failure to pass the business fields preset by
variablesin the request, which prevents the prompt from matching valid data. - Parsing failure prompt appears after uploading vehicle technical archives. The cause is failure to set chunking rules adapted for long texts, causing individual text chunks to exceed processing limits.
- Results from platform testing and API calls do not match. The cause is failure to include the complete
messagesconversation history in the API request, leading to context loss.
How to Confirm Configurations Are Correct
- Initiate a test conversation, enter questions corresponding to the business scenario, check if returned content includes preset core business fields.
- Call the API with the
messagesparameter containing multi-turn history, check if returned results follow previous conversation logic. - Upload a single long-text vehicle archive document, check if it can be parsed normally and included in the conversation context.
- Compare configuration parameters between platform testing and API calls, confirm that results have no differences when parameters are consistent.
The values provided 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.