What the data for this category looks like
Construction machinery research report data originates from public statistics released by the China Construction Machinery Industry Association, monthly production and sales announcements from original equipment manufacturers, and specialized analysis from third-party industry consulting firms. Update cycles cover monthly production and sales data, quarterly industry prosperity reports, and annual industrial trend analysis. Some policy interpretation documents are updated simultaneously with the release of industry policies.
Document structures typically include core category sales data, regional market share, single-machine operation indicators, and upstream and downstream supply chain correlation analysis. Fields include equipment type, statistical cycle, sales volume, operating hours, revenue scale, etc., with corresponding units of units, hours, and ten thousand yuan.
What constraints do these characteristics impose on tool calling and plugins
The multi-source and decentralized nature of construction machinery research reports requires tool calling plugins to support multi-data source API integration. Corresponding data source authentication parameters must be configured. Data sources with different update cycles need matching scheduled synchronization rules to avoid recalling stale data.
Documents include structured tables and long-text analysis. The parsing plugin’s segment threshold must be adjusted to adapt to content blocks of different lengths. The specificity of fields and units requires the plugin to have built-in field mapping rules. These rules unify similar indicators from different data sources into standard formats, preventing unit confusion or indicator mismatches during retrieval.
Additionally, individual research reports have relatively long lengths. The number of recalled documents and the length of single-document recall must be limited to prevent context window overflow.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recallTopK | Top 3-5 entries | Construction machinery research reports have long individual lengths. Excessive recall will cause context window overflow. Limiting the number of entries ensures core information is loaded effectively |
parseSegmentLength | 800–1200 characters | Construction machinery research reports include structured tables and long-text analysis. This segment length balances parsing accuracy and context splicing efficiency |
vectorModelEmbeddingDim | 1024 | Adapts to the embedding dimension of bge-large-zh-1.5, ensuring matching accuracy of vector retrieval |
pluginTimeout | 600 seconds | Multi-source data synchronization and parsing require long processing times. This duration prevents plugin calling failures caused by timeouts |
toolCallTerminateTrigger | tool_end | Clears the termination trigger identifier for the tool calling process, preventing the process from entering an infinite loop |
customCardEnabled | Enabled | Supports plugin-generated custom cards to display structured construction machinery indicator data, improving the readability of retrieval results |
The parameter values given on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules, and specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: No termination marker appears after the tool calling process executes, multiple rounds of tool calling are triggered consecutively, and duplicate tool calling requests appear in the logs. Cause: The
toolCallTerminateTriggerparameter is not configured, the process does not recognize the termination condition, and enters an infinite loop. - Phenomenon: Custom cards returned by the plugin cannot be displayed in the conversation interface, and the interface only displays plain text content. Cause: The
customCardEnabledconfiguration item is not enabled, and the plugin-generated card format is not recognized by the system. - Phenomenon: The matching accuracy of vector retrieval results is very low, and some irrelevant construction machinery indicators are recalled. Cause: The
vectorModelEmbeddingDimis not set to 1024, and a mismatched embedding dimension is used, resulting in vector space mapping deviation.
How to confirm the configuration is correct
- Enter the plugin management page, view the configured data source list, and confirm that it includes the core source types of construction machinery research reports.
- Initiate a test retrieval for a single research report, check the number of recalled results in the returned content, and adjust the parameters to the value range that matches the business scenario.
- View the tool calling execution logs, confirm that the process triggers the termination marker after completing all tool calling steps, and there are no duplicate calling records.
- Test triggering custom card generation, and confirm that the conversation interface can normally display structured construction machinery indicator cards.
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.