Tool Calling and Plugins for Commercial Vehicle Intelligent

Data Profile

Commercial vehicle intelligent due diligence data sources include in-vehicle T-BOX terminals, vehicle management office motor vehicle registration systems, freight dispatching platforms, and offline repair shop management systems. Data update cycles cover real-time (location, fuel consumption), hourly (operating duration, order data), and daily (maintenance records, violation data). Document structure is divided into structured ledgers and unstructured attachments. Structured fields include vehicle identification number (VIN), total mass (unit: kg), wheelbase (unit: mm), operating duration (unit: hours), and number of violations (unit: times). Unstructured attachments include maintenance work orders, annual inspection reports, and freight contracts.

Constraints on Tool Calling and Plugins

The need for cross-domain association of multiple data sources requires tool calling to interface with three types of systems: registration systems, operation platforms, and repair systems. Single calls must handle stitching of responses from multiple interfaces. Mixed real-time and daily updated data requires that tool calling cache strategies distinguish between field types to avoid expired or outdated data. Compliance fields exclusive to commercial vehicles such as total mass and axle load limits require that input and output parameters of tool calling match exclusive field definitions, to prevent generic fields from failing to cover due diligence requirements. The unique identification feature of VIN requires that tool calling must bind VIN as a query input parameter to avoid mixing data from different vehicles.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`tool_call_timeout`	300–600 seconds	Commercial vehicle due diligence requires querying multiple data sources, and single tool calls must cover the response times of multiple interfaces to avoid mid-call timeout interruptions
`max_tool_calls_per_round`	3–5 times	Commercial vehicle due diligence requires sequential queries of maintenance, violation, operation, and registration data. Controlling the number of calls reasonably avoids excessive link load
`plugin_cache_ttl`	1800 seconds	Commercial vehicle operation data is updated at hourly to daily intervals. This cache duration matches the data update cycle, balancing timeliness and interface call costs
`required_input_fields`	`["vin", "vehicle_license_plate"]`	Commercial vehicles use VIN and license plate as unique identifiers. Mandatory input requirements prevent mixing of data from multiple vehicles and improve query accuracy
`rerank_top_k`	5–8 entries	Commercial vehicle due diligence documents contain multi-dimensional fields. Retaining the top 5-8 results after reranking ensures that core compliance and operation information is not missed
`custom_tool_schema`	Defined per commercial vehicle exclusive fields	Must match exclusive fields such as total mass and operating duration to ensure tool call parameters comply with data source format requirements

The parameter values provided on this page are all 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 testing on self-provided samples is recommended before finalizing settings.

Three Common Configuration Errors

Phenomenon: Tool calls return a 400 Bad Request error, and the log shows the missing_required_param field. Cause: required_input_fields is not configured to enforce verification of VIN and license plate, resulting in inability to accurately match data from multiple vehicles.
Phenomenon: Operation data returned by tool calls does not match the latest records, with results delayed by more than 24 hours. Cause: plugin_cache_ttl is set to 86400 seconds, which exceeds the daily data update cycle for commercial vehicles, and the cache is not refreshed in time.
Phenomenon: Tool calls in the workflow are not triggered by categorized scenarios, and all branches call the same set of tools. Cause: No conditional trigger parameters are configured, so the tool call logic is not bound to the corresponding categorized branch.

How to Verify Proper Configuration

Input test commercial vehicle VIN and license plate, trigger tool calls, and check if returned results include maintenance, violation, and operation data for the corresponding vehicle.
View detailed tool call logs to confirm that input parameters of each call include the vin and vehicle_license_plate fields.
Manually update operation data of the test vehicle, adjust plugin_cache_ttl to 1800 seconds, and verify that tool calls return latest data.
Trigger multi-round tool call process to confirm that no link timeout or call interruption occurs within the range set by max_tool_calls_per_round.

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.