Tool Calling and Plugins for Decoration Industry Research

What the Data for This Category Looks Like

Decoration industry research report data comes from China Building Decoration Association public statistics, securities firm industry research reports, Ministry of Housing and Urban-Rural Development bidding announcements, and financial report announcements of listed decoration enterprises. Update frequency falls into three categories: securities firm reports are updated quarterly and semi-annually, industry associations release monthly industry dynamic data, and bidding data is updated in real time. Document structures typically include industry overview, segmented category analysis, policy interpretation, construction technology parameters, building material price trends, risk reminders, and other modules. Fields include "Project Budget" (unit: ten thousand yuan), "Construction Period" (unit: days), "Material Unit Price" (unit: yuan/square meter), "Winning Enterprise Qualification Level", and other items, with publishing organization and publishing date marked.

Constraints on Tool Calling and Plugins

Multi-source and heterogeneous data sources require tool calling to support aggregated pulling from multiple interfaces. Pull frequency and permission rules must be configured for each data source. Segmented fields with clear units require the plugin to include built-in unit standardization logic to avoid retrieval matching errors caused by inconsistent units. The relatively long length of individual research reports requires limiting the number of documents recalled in a single call and segment length, to prevent exceeding the model context window. Real-time updated bidding data requires tool calling to support scheduled incremental pulling, to ensure the timeliness of retrieval results.

Configuration Settings

Configuration Item	Recommended Value Range	Rationale
`recallTopK`	`Top 8-12 entries`	Research reports for the decoration industry have long individual content. Too many recalled entries will exceed the model context window, while too few will fail to cover valid information across segmented dimensions such as building materials and construction
`similarityThreshold`	`0.72-0.85`	Segmented fields of research reports for this category (such as material unit price, construction technology) have high semantic similarity. A threshold that is too low will introduce irrelevant data, while a threshold that is too high will miss valid matching content
`pluginTimeout`	`120-180 seconds`	Some bidding data interfaces have long pull times. Timeouts will cause tool calling failures. This range covers the response cycles of most conventional interfaces
`fileParseChunkSize`	`800-1200 characters`	Decoration industry research reports contain a large number of technical parameters with units. Segments that are too long will cause semantic fragmentation, while segments that are too short will increase context processing overhead
`multiSourceMergeRule`	`Weighted merging by publish time`	Research reports from different sources have significant timeliness differences. Recently published industry association data and securities firm reports should be prioritized

The parameter values provided on this page are common starting points 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 Misconfigurations

A cross-domain error occurs when calling the api/v1/chat/completions interface, with a status code containing a CORS-related prompt. The cause is that allowed request domain names and custom request headers are not configured on the backend.
After tool calling, chat：llm—model—response-empty is returned, with no valid reply content. The cause is abnormal field format of recalled research report data, or the plugin failing to complete data pulling within the timeout period.
Field missing occurs when processing streaming data. The parsed research report data lacks the "Material Unit Price" field. The cause is that no default fallback processing logic is configured for the corresponding field in the plugin.

How to Verify Proper Configuration

Initiate a single test call to check if the tool returned research report data includes decoration-specific fields, and verify that field units comply with preset standardization rules.
Simulate a timeout trigger scenario to verify that the plugin completes data pulling within the set pluginTimeout period, with no timeout-related errors.
Adjust the recallTopK parameter to different values to test changes in the number of recalled results, confirming that the model context window limit is not exceeded.
Use the frontend fetch tool to initiate an interface request, confirm no CORS cross-domain errors, and verify that cross-domain configuration is effective.

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.