Tool Calling and Plugins for Residential Construction

What the data for this category looks like

Financial marketing data related to residential construction engineering mainly comes from project filing systems, construction log ledgers, building material supplier quotation databases, bidding documents and project rendering materials of cooperating residential construction enterprises. It also includes risk control ledgers and product adaptation information from financial institutions. The data update rhythm varies by type: project filing information is updated across the cycle from project initiation to completion, construction logs are updated daily or weekly, building material quotations are updated in real time based on market conditions, and marketing materials are updated irregularly alongside project progress. The document structure includes structured ledgers (with fields such as project number, floor area, total project cost), long-text construction records, structured building material lists (with model, specification, unit price unit) and multimedia material files.

What constraints these characteristics impose on tool calling and plugins

The multi-source, decentralized nature of residential construction engineering financial marketing data requires tool calling to support integration with multiple heterogeneous data source plugins, enabling data aggregation across residential construction enterprises, suppliers and financial institution systems. Differences in data update rhythms require plugins to support both scheduled refresh and real-time pull modes. This prevents marketing content from using outdated building material quotations or project progress data, which would reduce the accuracy of financial product adaptation. The mixed document structure of long-text construction records and structured fields requires plugins to support both long-text parsing and structured parameter passing. This accommodates generation needs for mixed-format marketing content, such as generating risk control reports from construction logs and product recommendation copy from building material lists. Diverse unit systems (such as floor area measured in square meters, project cost measured in ten thousand yuan) require plugins to include built-in unit conversion logic. This prevents data deviations in generated marketing content caused by incorrect parameter formats, reducing customer trust risks.

How to set configurations

Configuration Item	Recommended Value	Rationale
`PLUGIN_API_TIMEOUT`	`120-180 seconds`	Single files such as residential construction engineering construction drawings and construction logs are typically lengthy, requiring sufficient time to complete data parsing and plugin calls
`UPLOAD_FILE_MAX_SIZE`	`5000 MB`	Multimedia files including residential construction project renderings and construction drawings usually do not exceed 5GB per file, requiring support for large file uploads
`stream`	`true`	Financial marketing content generation requires streaming return of segmented results, to avoid extended customer wait times without feedback
`PLUGIN_RETRY_TIMES`	`2-3 times`	Building material quotation and bidding data interfaces may experience temporary errors due to third-party service fluctuations, and retries lower call failure rates
`PARSE_FILE_MAX_CHARS`	`800000 characters`	Long-text construction logs for residential construction projects typically do not exceed 800,000 characters per entry, requiring support for large text parsing
`PLUGIN_FILE_PASS_THROUGH`	Enabled	Residential construction financial marketing content needs to embed structured data from project files, and enabling this allows direct passing of file ID parameters

The parameter values provided on this page are standard starting point recommendations for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis, and actual testing on local samples is recommended before finalizing settings.

Three Common Configuration Errors

Phenomenon: Passing file type variables when calling a plugin does not return expected results, with an error prompt of 400 Bad Request. Cause: The built-in FastGPT file ID parameter passing method was not used, and directly uploading binary files or file paths resulted in parameter format mismatch.
Phenomenon: After selecting stream as true to call the interface, only segmented fragments are received and the complete result cannot be obtained. Cause: The [DONE] end marker for streaming returns was not monitored, and segmented results were not spliced together.
Phenomenon: Importing a plugin in the privately deployed V4.14.1 version prompts internal server error. Cause: The API interface configured for the plugin did not have an intranet access whitelist added, or system resources were insufficient causing plugin loading failure.

How to Confirm Successful Configuration

Upload a residential construction project construction drawing PDF, call the built-in file parsing plugin, and check if the returned structured fields include preset content such as project number and floor area.
Enable the stream parameter to call the marketing content generation plugin, check system logs to confirm whether the [DONE] end marker is received, and verify that the complete result can be fully received.
Import a custom building material quotation plugin, pass a known building material model parameter in the test interface, and check whether the returned quotation data matches the preset data source.
Check system operation logs to confirm that the PLUGIN_API_TIMEOUT configuration does not trigger a 504 Gateway Timeout error, and that the retry count configuration meets interface stability requirements.

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.