Document and Material Drafting for Territorial Spatial Planning Compilation and Implementation Evaluation: Tool Calling and Plugins

Document and Material Drafting for Territorial Spatial Planning Compilation and Implementation Evaluation: Tool Calling and Plugins

What the data for this category looks like

The data for this category mainly comes from the territorial spatial basic information platform, natural resource survey and monitoring data, population and economic statistical datasets, and public remote sensing images. Daily produced documents include territorial spatial overall planning, detailed planning, special planning texts, planning implementation evaluation reports, and public opinion summary forms. The data update cycle is annual. Document structures include fields such as spatial constraint indicators, regional layout plans, and cross-department coordination opinions. Some fields need to match spatial coordinates and statistical units.

Since most data sources are static spatial and statistical datasets updated annually, tool calling must first bind existing data in the local knowledge base to avoid redundant real-time network requests. Documents contain multi-source coordination content and structured fields, so plugins must support reading long text passages and table data to avoid truncating key constraint indicators. Since planning documents require cross-department coordination, the context of tool calling must retain the opinion summary results from previous links to ensure complete parameter transfer. At the same time, since the data involves public management content, plugin calling must restrict access scope to ensure data security.

How to set the configuration

Configuration ItemRecommended SettingRationale
toolChoiceSet to autoAutomatically match planning document parsing and data verification plugins to adapt to processing needs for multiple types of planning texts
functionCallEnabledSupport plugin calling of structured data verification logic to ensure that planning indicators match document content
Plugin port restrictionSet to local loopback addressPrevent public network access to plugin interfaces and reduce the risk of territorial spatial data leakage
Single plugin call duration600 secondsAdapt to time requirements for long text parsing and multi-source data verification
Context retention length8000–12000 tokenRetain complete context of previous public opinions and spatial layout plans to ensure accurate parameter transfer

Three Common Misconfigurations

  • Phenomenon: Only the local knowledge base is retrieved during tool calling, and network search cannot be triggered. Cause: The toolChoice configuration is not adjusted, the default binding of the local knowledge base is used, and cross-source data calling logic is not enabled.
  • Phenomenon: Previous planning opinion conclusions cannot be passed during plugin calling. Cause: Insufficient context retention length is not set, resulting in truncation of previous content, which cannot be used as subsequent prompt input.
  • Phenomenon: Security alerts are triggered after the plugin interface is exposed to the public network. Cause: The access network segment of the plugin port is not restricted, and the interface is exposed directly using a public network port, introducing data leakage risks.

How to Confirm the Configuration Is Complete

  • Enter the plugin management page of the FastGPT v4.17.0 application, check the configuration status of toolChoice and functionCall, and confirm that they are set as required.
  • Upload a planning implementation evaluation report to trigger plugin calling, and check whether the returned results include data verification and structured parsing content.
  • View the plugin access logs to confirm that only intranet or local addresses initiate calls, and there are no abnormal public network access records.
  • Test plugin calling for long text documents to confirm that the context is fully retained, and no truncation of key spatial indicators or opinion content occurs.

Note: The values provided are common starting points. They should be evaluated against the specific samples used during deployment.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.