What the data for this category looks like
The data for decoration and renovation intelligent due diligence reports mainly comes from enterprise qualification databases filed by housing and urban-rural development authorities, construction logs and acceptance documents submitted by project contractors, official price ledgers of material suppliers, and on-site image records from third-party inspection institutions. There are two types of data update schedules: enterprise qualification information is synchronized once every quarter, while project progress and acceptance data is updated monthly. A single due diligence document usually includes four modules: basic project information, material detail list, construction progress schedule, and compliance inspection results. Fields include decoration area (unit: square meters), total budget (unit: yuan), construction period (unit: days), material brand and model, etc. Some documents also include high-definition image links from on-site inspections.
What constraints these characteristics impose on tool calling and plugins
The multi-source and heterogeneous characteristics of decoration and renovation due diligence data require that tool calling must connect to three types of plugins at the same time: housing and urban-rural development qualification verification, material price query, and construction document parsing, to avoid bias from single-source data. There are differences in field units across different data sources; for example, some suppliers mark area in square feet, so tools must have built-in unit conversion logic to uniformly output values in square meters. For scenarios where documents include on-site inspection images, plugins must support multimodal content parsing to extract construction defects or material identifiers from the images. The scheduled update rhythm of data (quarterly and monthly) requires that tool calling configurations include timed synchronization trigger rules, to avoid using expired qualification or progress data. The diversity of structured fields requires plugins to support custom field mapping, to adapt to the detail extraction needs of different types of projects such as home decoration and commercial decoration.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
datasource_sync_cycle | 86400 seconds | Decoration and renovation project progress data is updated monthly. Synchronizing daily ensures data timeliness while avoiding resource waste |
unit_conversion_strategy | Automatically convert to square meters, yuan, days | Differences in units exist across multiple data sources; automatic conversion enables unified output of standard formats |
multimodal_parse_threshold | 0.85 | The text recognition accuracy of inspection images must reach this threshold to meet the verification requirements of due diligence reports |
plugin_exec_timeout | 300 seconds | Calling multi-source data requires waiting for responses from multiple interfaces. A 300-second timeout setting covers the full duration of data pulling |
field_mapping_template | Preset by home decoration/commercial decoration type | Decoration and renovation projects are divided into two categories: home decoration and commercial decoration. Preset templates reduce manual configuration costs |
max_image_per_parse | 10 images per request | The number of inspection images attached to a single due diligence report usually does not exceed 10. Limiting the quantity avoids resource overload |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material types, 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 mistakes
- Issue: Database connection tools can only connect to three specified database types, and cannot connect to Oracle databases. Cause: The built-in database driver package of the tool does not include the Oracle adaptation module, and the corresponding driver dependency files need to be added manually.
- Issue: The email sending plugin cannot trigger sending actions after configuration, and no obvious error logs are generated. Cause: The SMTP port and authorization code parameters of the email server are not configured correctly, or the automatic trigger switch of the plugin is not enabled.
- Issue: Calling the tool returns the error
400 InternalError.Algo.InvalidParameter: messages with role "to". Cause: The format of the incoming message role parameter is incorrect. For example, the receiver identifier is mistakenly written as the role field, and standard role values such asuser/assistant/systemare not used.
How to confirm the configuration is correct
- Perform a full data source synchronization once, check the unit conversion records in the synchronization log, and confirm that the configured conversion strategy takes effect.
- Upload a decoration and renovation due diligence document that includes inspection images, check the text extraction content in the parsing results, and confirm that the multimodal parsing configuration is working properly.
- Trigger the test action of the email sending plugin, check the reception of the test email, and confirm that the plugin's parameters and trigger configuration are correct.
- Call the tool with role parameters that do not meet the format requirements, verify that the corresponding parameter error log is returned, and confirm that the parameter verification logic takes effect.
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.