What the Data for This Category Looks Like
The 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. Daily processed documents include business license applications, vehicle technical files, driver qualification materials, work safety management systems, and road transport business licenses. Data fields include license numbers, vehicle license plates, qualification certificate numbers, safety system clauses, and more. Data is archived by license batch, vehicle ownership, and personnel qualification. The volume of documents associated with a single license batch varies based on enterprise operation scale.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Engineering
Decentralized data sources require multi-turn dialogue to clearly specify the query data source range, to avoid cross-system data confusion. The daily update frequency requires each dialogue to call the latest daily updated dataset, to ensure the timeliness of ledger data. Diverse document types and exclusive fields require multi-turn interaction to gradually guide users to clearly specify the extracted document type and corresponding fields. Differences in the volume of documents associated with a single license batch require the dialogue context to be bound to a single license process, to avoid cross-batch data misuse.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId binding rule | Bind to a single road transport license application process | Ensure multi-turn dialogue context does not cross license batches, avoid confusion of ledger data from different licenses |
messages format encapsulation | Split into three categories: application materials, vehicle files, personnel qualifications | Adapt to extraction logic for different document types, improve matching accuracy of road transport-specific fields |
variables preset configuration | Preset license number, vehicle license plate, qualification certificate number variables | Match business-specific fields, ensure extracted data corresponds to local road transport databases |
| Maximum context length | 8000–12000 characters | Accommodate the total content of multiple documents associated with a single license batch, avoid content truncation |
| Historical message truncation threshold | Retain the last 15 rounds of interaction | Avoid exceeding token limits, focus on the latest business interaction content |
| Calibrate based on actual testing | Calibrate based on actual testing | Adapt to differences in document volume across enterprises of different scales |
Three Common Misconfigurations
- Output content is raw Markdown syntax without formatted rendering. Cause: Failing to explicitly specify rendered output format in the prompt, or failing to enable the format rendering switch on the dialogue platform.
- Unable to view separate input and output token counts. Cause: Failing to enable token count configuration for dialogue statistics, or failing to enable the corresponding statistics function.
- Prompts cannot extract current year or current month ledger data. Cause: Failing to explicitly use daily updated system data as the benchmark in the prompt, failing to bind date variables in
variables, or failing to limit the data range to ledgers within the current license cycle.
How to Verify Configuration Completion
- Initiate a single-round test dialogue, input the corresponding business query instruction, and verify that the returned content includes the preset exclusive business fields
- Initiate continuous multi-round interaction, and verify that the dialogue context does not show cross-batch license data confusion
- Enable the format rendering switch, and verify that the returned Markdown content is correctly rendered into a readable format
- View the dialogue statistics panel, and verify that input and output token counts are displayed separately
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.