What the Data for This Category Looks Like
Commercial property intelligent due diligence report data comes from multiple official and commercial channels. Ownership information is obtained from real estate registration centers, with a quarterly update cycle. Lease ledgers are sourced from property operation management systems, updated daily. Business district passenger flow and rental price guidelines come from third-party commercial big data platforms, updated monthly. On-site inspection reports are one-time, project-specific submitted files.
Document structure includes three content types: structured field tables, ownership certificate scans, and lease detail attachments. Fields include building area (unit: square meters), rental unit price (unit: yuan/square meter·month), property type, ownership number, and other items. Unstructured text without a fixed format accounts for a relatively large share.
Constraints on Tool Calling and Plugins
The multi-source data characteristics of commercial property due diligence create multiple constraints for tool calling and plugin configuration. First, different data sources use different authentication rules. Independent authentication methods must be configured for each dedicated plugin. Global unified authentication cannot be used. Second, update frequencies vary widely across data sources. Differentiated scheduled synchronization cycles must be set for different plugins to avoid outdated data or duplicate requests. Third, documents include high-definition scans and large-volume attachments. The single-file processing limit of file parsing plugins must be raised. Fourth, document structures mix structured and unstructured text. Both structured data extraction and general text parsing plugins must be called, increasing the combined complexity of tool calls.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_MAX_SIZE | 500 MB | Commercial property due diligence reports often include multiple high-definition inspection scans. 500 MB covers the single-file volume requirements of most projects |
TOOL_API_TIMEOUT | 120 seconds | Third-party business district data APIs and real estate registration interfaces typically have long response times. 120 seconds prevents interruptions from regular request timeouts |
PLUGIN_AUTH_TYPE | Multi-authentication method adaptation | Commercial property data sources include OAuth2 interfaces, API Key interfaces, and static token interfaces. Independent authentication rule configurations are required for different plugins |
TOOL_BATCH_SIZE | 3 per batch | Commercial property due diligence requires calling three core plugins: lease ledger verification, ownership information query, and business district analysis. Batch calls reduce the number of interactions |
PARSE_FILE_SPLIT_LENGTH | 1000–1200 characters | Commercial property reports mix structured fields and unstructured text. This split length balances context association and parsing efficiency |
The parameter values provided on this page are conventional recommendations used as a starting point for 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 Configuration Mistakes
- Phenomenon: A
413 Request Entity Too Largeerror is returned when calling the file parsing plugin. Cause: ThePARSE_FILE_MAX_SIZEconfiguration is not set to a value adapted to large commercial property files. The default configuration cannot handle high-definition inspection scans. - Phenomenon: After configuring optional parameters for a custom tool, the parameter fields in HTTP calls are empty. Cause: The "Synchronize optional parameters to request body" switch is not enabled in the tool configuration, causing custom variables to not be included in API requests.
- Phenomenon: Historical records include execution logs from specified reply plugins, which interferes with subsequent context understanding. Cause: The "Ignore plugin execution logs in context" option is not enabled in the plugin configuration, causing internal plugin calls to be included in the conversation history.
How to Verify Proper Configuration
- Upload a single large commercial property inspection report, and check whether the file parsing plugin triggers normally and returns structured text.
- Call the configured core tool plugins, and check whether authentication information for the corresponding plugin is included in the request header or request body.
- Trigger a complete due diligence report generation process, and check whether the conversation history only includes user questions and final results, with no internal plugin execution logs.
- Call the API to initiate a tool calling request, and check whether the response body returns valid data within a reasonable time frame.
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.