What the data for this category looks like
Data sources for commercial vehicle intelligent due diligence reports include vehicle registration management systems, operational GPS platforms, offline maintenance archives, and credit ownership databases. Update rhythms vary across data types: basic ownership information syncs quarterly, operational mileage and revenue data updates daily, and maintenance records are logged in real time when maintenance is performed.
The document structure has four fixed modules:
- Basic Information module includes fields such as vehicle identification number (VIN), vehicle model, and rated load
- Operational module includes monthly average driving mileage, monthly revenue, and other related data
- Maintenance module records maintenance items and costs from the past 12 months
- Ownership module includes mortgage and seizure status
Field units follow industry standards: load is measured in tons, mileage in kilometers, and revenue in Chinese yuan.
Constraints imposed on multi-turn dialogue and prompt engineering
Multi-source heterogeneous data sources lead to scattered fields. Multi-turn dialogue must first anchor a unique identifier such as VIN to accurately extract corresponding data, and avoid mixing information from different vehicles.
Fields with different update rhythms require specifying the data time range in the dialogue. For example, confirm whether the query targets operational data from the past 7 days or past 30 days, to prevent incorrect splicing across time intervals.
The long document structure and large number of fields require the context window to retain sufficient interaction history. It also requires limiting the recall of irrelevant fields to avoid the model being distracted by redundant information.
Fixed field units require mandatory unified conversion rules in the prompt, to prevent output results with mixed units.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single commercial vehicle due diligence report often exceeds 5000 characters, requiring retention of complete context for multi-turn interactions |
conversationBindId | Bind to the VIN field | Commercial vehicle data uses VIN as the unique identifier, to avoid mixing context from different vehicles |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Commercial vehicle maintenance documents often contain a large amount of image OCR content, leading to long parsing times |
recallTopK | Top 6 entries | Commercial vehicle due diligence data has a large number of fields, requiring recall of sufficiently relevant segments while avoiding redundancy |
promptTemplate | Confirm the VIN first before extracting corresponding fields | Commercial vehicle models and data modules are numerous, requiring anchoring of the unique identifier first to ensure accurate extraction |
markdownRenderMode | Retain tables and lists, filter extended formats | Tables in due diligence reports are core data carriers, requiring adaptation to general display requirements |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: After more than 3 rounds of multi-turn dialogue, the model cannot associate the initially requested VIN, leading to incorrect data extraction. Cause: The
conversationBindIdconfiguration is not enabled. The session context is not anchored to a unique identifier, resulting in mixed cross-turn data. - Phenomenon: Generated Markdown-format due diligence reports display formatting errors on designated channels. Cause: The
markdownRenderModeparameter is not configured. Non-standard Markdown extended syntax is retained, causing display issues. - Phenomenon: After calling SQL to query due diligence data, the results cannot be correctly inserted into the dialogue context, preventing the model from referencing the query content. Cause: The
toolResponseAppendModeparameter is not configured. Tool return results are not appended to the dialogue context chain.
How to confirm correct configuration
- Upload a complete commercial vehicle due diligence report. Check that the context window fully retains core fields, and verify that the
maxContextparameter value matches the document length. - Initiate a multi-turn dialogue that includes a VIN. Confirm that each round of interaction can associate the initial VIN information, and verify that the session binding configuration is active.
- Generate a Markdown-format report snippet. Preview it on the target channel, confirm that the format meets expectations, and adjust the
markdownRenderModeparameter to adapt to display requirements. - Call a tool to return SQL query results. Check that the results are correctly appended to the dialogue context, and verify the correctness of the tool response configuration.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.