What the data for this category looks like
Data sources include motor vehicle registration systems, second-hand vehicle trading platforms, operation and maintenance systems of partner repair shops, and auto insurance underwriting databases. Update rhythm: basic vehicle information is synchronized in real time, repair and accident records are updated daily, and dealer service data is synchronized monthly. Document structures are mostly structured JSON or CSV files with fixed headers. Core fields include 17-digit VIN code, vehicle brand and model, registration date, cumulative mileage (unit: kilometers), number of repairs in the past 12 months, number of accident claims, annual inspection qualification status, service store ID. Some documents include single repair project details and costs.
What constraints these characteristics impose on tool calling and plugins
The 17-digit VIN code acts as the unique identifier, requiring tools to validate input formats and filter invalid query requests. Inconsistent update rhythms across multi-source data require plugins to specify data time range parameters when calling interfaces, ensuring the time dimension of obtained due diligence data is unified. Fixed fields in structured documents require plugins to preset field mapping rules to avoid extracting unintended content. Long text content of repair details requires tool calling to support segmented recall and long text parsing, preventing exceeding context limits. Monthly synchronized dealer data requires plugins to configure data update cycle verification to avoid calling expired information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
vin_code_validate_enabled | Enabled | The 17-digit VIN code is the unique identifier for automotive service due diligence. Enabling validation filters invalid tool calling requests |
plugin_request_timeout | 300-600 seconds | Automotive service due diligence data comes from multiple sources. Some repair and accident record interfaces have slow response times. This time range covers most synchronization requests |
parse_file_max_length | 800-1200 characters | The repair detail field in automotive service due diligence reports is mostly long text. This range ensures complete parsing of single-item details without exceeding context limits |
plugin_data_refresh_interval | 24 hours | Basic vehicle information is updated in real time, and accident and repair data are updated daily. A 24-hour refresh ensures data timeliness |
tool_call_field_filter | Retain only VIN code, mileage, number of accident claims | Core metrics for automotive service due diligence are fixed. Filtering non-essential fields improves tool calling efficiency |
max_context_tokens | 16384 | Structured data from automotive service due diligence reports plus parsed long text requires adaptation to the large model's context window. This value covers most scenarios |
The parameter values provided on this page are common recommendations for starting point configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: A
400 Bad Requesterror is returned when calling a third-party repair data interface via tool. Cause: The 17-digit VIN code is not correctly included as a query parameter, or the parameter format does not meet interface validation rules. - Phenomenon: Expired repair records appear in the due diligence report generated by the plugin. Cause: The
plugin_data_refresh_intervalparameter is not configured, cached old data is used, and the data source is not refreshed daily. - Phenomenon: An attempt to automatically generate Python code to process automotive data fails, returning a
SyntaxErrorerror. Cause: The generated code does not adapt to the field units of automotive service data, or necessary vehicle data parsing libraries are not imported.
How to Confirm Configuration Is Correctly Set Up
- Submit a valid 17-digit VIN code to trigger tool calling, verify that the returned results include the preset core fields, and confirm that the field filter configuration is effective.
- Check the plugin's data source refresh logs to confirm that the refresh cycle meets preset requirements, and no expired data is called.
- Upload a structured document for automotive service due diligence, check that the parsed text conforms to the preset length limit, and confirm that the parsing configuration is effective.
- Trigger a code generation and execution test, verify that the generated code adapts to the field format of automotive data, and confirm that code execution permissions are enabled.
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.