What the data for this category looks like
Commercial vehicle intelligent due diligence raw data primarily comes from in-vehicle TBOX terminals, motor vehicle registration systems, freight dispatching platforms, and offline maintenance archives. Data update cycles cover three categories: real-time operating condition data, daily operation summaries, and monthly maintenance records. A single due diligence package’s raw documents often include Word documents of operation logs with 100,000+ Chinese characters per piece, or Excel ledgers with over 15,000 rows. Fields include curb weight, rated load, continuous operating duration, and over-limit violation times. Units include kg, km, hours, times, and other common units.
What constraints these characteristics impose on workflow orchestration
The large volume and multi-source nature of commercial vehicle due diligence data impose three types of constraints on workflow orchestration. First, the large size of single raw data will trigger file parsing timeouts or out-of-memory restrictions, leading to early termination of workflow nodes. Second, inconsistent units across multi-source data fields require embedding standardized verification steps in the workflow to prevent field matching errors during subsequent question answering or report generation. Third, multi-round question answering must handle context window overflow for long contexts, while report generation requires cross-verification of associated multi-source data to ensure the accuracy of due diligence content.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Commercial vehicle due diligence raw Excel or Word documents often reach hundreds of MB, so this setting adapts to single-file upload limits |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large documents require longer parsing time to avoid early termination of the parsing process |
maxContext | 8000–12000 characters | Commercial vehicle due diligence has many data fields, and long-context question answering requires sufficient retention of historical information |
RECALL_TOP_K | Top 8 entries | Commercial vehicle due diligence requires associating multi-dimensional operating data. Too many recalled entries increase context load, while too few will lose critical information |
GENERATE_FILE_CITATION | Disabled | Commercial vehicle due diligence reports require concise output, and internal citation markers are not needed |
WORKFLOW_DEBUG_LOG_LEVEL | INFO | Enabling this log level allows viewing code runtime print information to facilitate troubleshooting of parsing abnormalities |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: The workflow run returns the
413 Request Entity Too Largeerror code. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration was not adjusted to meet the upload requirements of large commercial vehicle due diligence raw documents - Symptom: Internal citation markers appear in the generated due diligence report. Cause: The
GENERATE_FILE_CITATIONconfiguration item was not disabled - Symptom: No print output is generated for code runtime nodes. Cause: The
WORKFLOW_DEBUG_LOG_LEVELconfiguration was not set toINFOor a higher level, and debug log output was not enabled
How to verify correct configuration
- Upload the largest single commercial vehicle due diligence raw document. Confirm the
UPLOAD_FILE_MAX_SIZEconfiguration covers this volume, and check for no upload errors. - Trigger workflow execution. View debug logs to confirm normal output of print information from code runtime nodes.
- Generate a test due diligence report. Confirm no internal citation markers are present in the report, and verify the
GENERATE_FILE_CITATIONconfiguration is set correctly. - Submit a long-context multi-round question answering request. Confirm the answer fully covers key commercial vehicle due diligence fields, and verify the
maxContextconfiguration adapts to context window requirements.
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.