Tool Calling and Plugins for Residential Development

What This Category's Data Looks Like

Data sources for residential development financing daily reports include local housing and construction authorities’ real estate development project supervision platforms, partner financial institutions’ credit ledger systems, and internal enterprise financing management systems. Updates follow a fixed daily schedule. The reports cover previous natural day’s new residential development project financing amounts and outstanding financing balance changes. Document structures use structured tables or JSON format. Fields include project filing number, project address, full financing entity name, financing category, single financing amount, financing term, loan execution date, fund disbursement progress, supervision account balance, and more. Amount and term units vary across data sources. Unified processing is required after data collection.

Constraints Imposed on Tool Calling and Plugins

Multi-source data sources require plugins to configure cross-system pull permissions. This prevents incomplete daily reports caused by missing single data sources. Fixed daily update schedules require plugins to configure precise scheduled trigger rules. This avoids frequent pulls of old data or missed update windows. Differences in fields and units require plugins to configure unified field mapping and unit conversion rules. This ensures readability and consistency of daily report data. Project filing numbers as unique identifiers require plugins to configure deduplication rules. This prevents duplicate financing entries for the same project. Sensitive financing data requires plugins to configure desensitization rules. This complies with industry regulatory information security requirements.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`scheduleCron`	`0 7 * * *`	Residential development financing daily reports are typically released in the early morning daily. Pulling and generating data one hour in advance aligns with release schedules.
`multiSourceAuth`	Enabled, configure API keys and permission scopes for the three data sources	Integration with housing supervision, bank credit, and enterprise internal ledger systems requires separate access permission configurations.
`fieldUnitConvert`	Unify all amount fields to ten thousand yuan units, unify all term fields to natural month units	Variations in amount and term units across data sources are resolved by standardizing formats to ensure consistency of daily report data.
`dataDeduplication`	Use project filing number as the deduplication key	Project filing numbers serve as unique identifiers for residential development projects, preventing duplicate pulling of financing data for the same project.
`requestTimeout`	600 seconds	Cross-system pulling of multi-source data takes significant time. 600 seconds covers data synchronization needs for most scenarios.
`maxContext`	10000 characters	Single daily report financing entry requires complete project information. 10000 characters meets most display requirements.

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Analyze specific cases individually, and test on your own samples before finalizing settings.

Three Common Configuration Mistakes

Phenomenon: No execution logs appear after triggering the plugin scheduled task, and no corresponding financing daily report is generated. Cause: The scheduleCron parameter is not configured correctly, or the plugin's scheduled execution switch is not enabled.
Phenomenon: Some fields are missing from returned results when processing long project financing details. Cause: The maxContext parameter is not configured, or its value is smaller than the character length of a single detail, resulting in content truncation.
Phenomenon: Points are deducted after calling the plugin, but no valid data is returned. Cause: The requestTimeout parameter is not configured, or its value is set too small. A request timeout occurs when pulling cross-system data, and the system still deducts call points.

How to Verify Proper Configuration

Manually trigger plugin execution, verify that the returned data fields match the configured fieldUnitConvert rules.
Access the plugin's scheduled task management interface, confirm that an execution plan with the configured scheduleCron value exists.
Review plugin call logs, confirm that all cross-system multi-source data pull requests have completed without errors.
Generate a test version of the daily report, verify that sensitive information has been desensitized according to the dataDeseensitization configuration.

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.