What the Data for This Category Looks Like
Commercial vehicle yield rate-related data primarily comes from in-vehicle smart terminals, logistics scheduling platforms, and freight order systems. Two update rhythms are used for data: minute-level updates for real-time operational metrics such as mileage and fuel consumption, and daily updates for aggregated revenue and cost data. Individual data documents are grouped by Vehicle Identification Number (VIN). They include fields such as vehicle identification, daily operating mileage, average daily revenue, fixed cost allocation, fuel consumption cost, and downtime duration. The corresponding units for each field are kilometers, yuan, yuan/day, yuan/km, and hours, respectively. No pre-configured aggregated statistics are included.
Constraints Imposed on Forms and Interactions
The multiple update rhythms and multi-field characteristics of commercial vehicle data impose multiple constraints on the forms and interactions link. Minute-level real-time metrics must support incremental pulling and partial refreshes to avoid interaction delays caused by full data loading. The VIN-grouped data structure requires the form to preset a vehicle identification filter entry. The entry automatically loads the corresponding dimension field group after filtering. Multi-unit fields must automatically match and display units without requiring manual input. Exclusive input validation rules must be configured for different fields. For example, the mileage field only accepts positive integers or decimal values. The downtime duration field is limited to a reasonable range. Query requests for daily updated aggregated data must match the data update cycle to avoid high-frequency invalid requests occupying resources.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Commercial vehicle yield rate daily reports include multi-dimensional operational data. More context information for multiple fields must be accommodated to avoid content truncation |
RECALL_TOP_N | Top 8–12 entries | Sufficient associated data must be retrieved to support yield rate calculations, covering core fields such as vehicle identification, revenue, and cost |
PARSE_FILE_TIMEOUT_SECONDS | 240–300 seconds | Individual commercial vehicle data documents may include aggregated records for multiple vehicles. Parsing takes a long time, so the timeout threshold must be extended |
plugin_input_mode | Automatically carry output from previous node | Retrieval results from the first conversation must be used as input for the second conversation to adapt to parameter transfer requirements for multi-turn interactions |
FORM_FIELD_VALIDATION_RULES | Bind units and value ranges per field | Commercial vehicle data includes multi-unit fields. Exclusive validation rules must be configured to avoid input errors |
WORKFLOW_RETRY_TIMES | 1–2 retries | Data pulling may fail due to fluctuations in terminal interfaces. Limited retries must be configured to ensure normal workflow execution |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: An error is returned after a plugin call in a workflow, prompting that the input parameter is empty. Cause:
plugin_input_modeis not configured to automatically carry the output of the previous node, so the retrieval results of the previous conversation are not passed to the plugin link. - Phenomenon: The generated daily report only returns a single retrieved data entry, and does not cover multiple sets of associated data. Cause: The
RECALL_TOP_Nparameter is not adjusted to a value that meets requirements. The default number of retrieved entries does not meet the need for multi-data comparison. - Phenomenon: A field format mismatch prompt appears after the form is submitted. Cause:
FORM_FIELD_VALIDATION_RULESis not configured to bind the unit and value range corresponding to the field, so the value entered by the user does not match the preset rules.
How to Confirm Successful Configuration
- Trigger a complete daily report generation process, check the workflow log, and confirm that the retrieval results of the previous node have been automatically passed to subsequent conversations or plugin links.
- Test entering values with different units in the form, confirm that the interface automatically matches the unit corresponding to the field and triggers the corresponding validation prompt.
- Adjust the
RECALL_TOP_Nparameter, verify whether the number of returned retrieval results matches the expected value after configuration. - Simulate a data pull failure scenario, confirm that the workflow performs automatic retry operations according to the configured number of retries.
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.