What the data for this category looks like
The data for glass due diligence reports primarily comes from factory quality inspection reports provided by manufacturing enterprises, public testing databases for the building materials industry, and batch traceability ledgers from upstream supply chains. Quality inspection data for a single batch of glass is updated synchronously when it leaves the factory, while public industry data is updated quarterly. Each due diligence document includes four fixed sections: batch information page, core performance parameter page, compliance inspection page, and traceability association page. Fields include batch number, production furnace number, thickness (unit: mm), visible light transmittance (dimensionless value), bending strength (unit: MPa), fire resistance rating, unified social credit code of the manufacturer, production date, and more.
What constraints these characteristics impose on the tool calling and plugins workflow
The fields of glass due diligence data have strict physical unit and fixed format requirements. Tool calling must accurately match parameter formats to avoid unit conversion or format verification errors. Single-batch data is dynamically updated as it leaves the factory, so plugins must support dynamically pulling the latest data by batch number, and cannot rely on expired cached data. Document sections are scattered but have a fixed structure, so tool calling must split parameter extraction for different sections, and cannot capture full content in a single request. Additionally, the traceability association page includes sensitive fields such as social credit codes, so tool calling must connect to an additional verification step, which increases dependency complexity.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_api_timeout | 120 seconds | Glass due diligence requires pulling quality inspection reports and industrial and commercial traceability data across multiple sources. A longer timeout period prevents normal requests from being interrupted |
plugin_param_schema | {"type": "object", "properties": {"batch_no": {"type": "string"}, "factory_id": {"type": "string"}}, "required": ["batch_no"]} | The core query parameters are batch number and manufacturer identifier. Strictly limiting parameter types reduces format verification errors |
plugin_cache_ttl | 7200 seconds | The update cycle of single-batch glass data matches the production and delivery schedule. Caching for 2 hours balances data freshness and calling costs |
field_mapping_rule | {"厚度": "thickness_mm", "抗弯强度": "bending_strength_mpa"} | Convert Chinese fields in documents to standardized parameter names to adapt to the format requirements of downstream tool calls |
approval_required_fields | ["防火等级", "社会信用代码"] | Due diligence involves compliance-sensitive fields. A user confirmation process must be triggered before calling the corresponding tool |
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 settings.
Three common configuration mistakes
- Issue: Parameter format errors occur when calling a custom glass data plugin. Cause: The plugin schema is not configured per the unit requirements for glass performance parameters, and valid formats for batch numbers and strength values are not restricted.
- Issue: Empty results or expired data are returned after calling the glass due diligence tool. Cause: A reasonable
plugin_cache_ttlparameter is not set, the cache duration does not match the update schedule of glass data, or the batch number parameter is not passed correctly. - Issue: No user confirmation process triggers when calling compliance-sensitive fields through the tool. Cause: Sensitive fields requiring approval are not specified in the configuration, and the pre-call user verification switch is not enabled.
How to confirm configuration is complete
- The tool may be called using a known valid glass batch number, and the returned performance parameter fields and units may be verified against the original quality inspection document.
- Tool calling logs may be reviewed to confirm that there are no format errors in the parameter verification step, and that the plugin interface request returns data normally.
- A tool call including fire resistance rating or social credit code may be initiated, and the user confirmation process may be confirmed to trigger normally.
- A cache expiration scenario may be simulated, and the automatic re-pulling of the latest batch of glass data may be verified.
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.