Tool Calling and Plugins for Chemical Fiber Intelligent Due

What the Data for This Category Looks Like

Chemical fiber industry data originates from four primary sources: public monitoring data from the China Chemical Fiber Industry Association, market prices from commodity spot trading platforms, import and export declaration data from the General Administration of Customs, and monthly operation announcements from upstream refining and chemical enterprises. Spot data, such as PTA and polyester filament transaction prices, updates daily. Industry operating rate and factory inventory data updates weekly. Import and export and corporate financial report data updates monthly or quarterly. Bulk industry data mostly uses structured CSV or JSON formats. Individual corporate due diligence data includes industrial chain association data tables, market trend metadata, and text analysis summaries. Core fields include transaction price (unit: yuan/ton), monthly output (unit: 10,000 tons), inventory days (unit: days), and other metrics.

Constraints on Tool Calling and Plugins

The data characteristics of the chemical fiber category impose multiple constraints on the tool calling and plugin workflow. First, multi-source heterogeneous data sources require plugins to adapt to different authentication methods and return formats. Corresponding API keys and access permissions for each data source must be configured separately. Second, tiered update frequencies require tool calling to configure trigger rules based on data cycles. This avoids repeated pulling or retrieval of lagging data. Third, differences in field units and data calibers across data sources—such as some platforms using USD/barrel quotes—require plugins to include built-in unified conversion logic. This ensures consistent data calibers for due diligence reports. Fourth, the strong association between upstream and downstream industrial chains requires tools to support cross-data-source linked queries. This enables automatic associated analysis of raw material and finished product data.

Configuration Settings

Configuration Item	Recommended Approach	Rationale
`toolDataSourceList`	Add three data source plugins: "Chemical Fiber Industry Association Data", "Commodity Spot Platform", "Customs Import and Export Data"	Core chemical fiber industry data is scattered across these three public channels
`pluginUpdateCycle`	Configure per data source: `86400 seconds` for spot data, `604800 seconds` for operating rate data, `2592000 seconds` for financial report data	Matches the actual update frequencies of different data sources
`dataUnitConversionEnabled`	Enable	Quotation units vary across data sources, and unified conversion to the common chemical fiber industry caliber is required
`maxToolCallContext`	`1200–1500 characters`	Chemical fiber due diligence reports require association of multi-dimensional industrial chain data, so sufficient context must be retained for model analysis
`toolCallTimeout`	`300 seconds`	Cross-data-source data pulling has long response times, so sufficient waiting time must be reserved
`databaseQueryWhitelist`	Only grant query permissions for tables related to chemical fiber industrial chains	Prevents tool calling from accessing unrelated data through unauthorized access

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volume, and business rules. Specific issues require targeted analysis. It is recommended to conduct testing on relevant samples before finalizing configuration settings.

Three Common Mistakes

Symptom: The database query plugin returns an empty tool_calls field or the error 400 Messages with role ' ' invalid. Cause: No whitelist for chemical fiber-specific data tables was added in the plugin configuration, so the tool cannot access the target data source.
Symptom: No output is returned when calling the database plugin in a locally deployed FastGPT instance. Cause: No network access permissions for the data source were configured, so the local environment cannot connect to the API interface of the chemical fiber industry data platform.
Symptom: Mixed units appear in market data returned by tool calling—such as both yuan/ton and USD/barrel. Cause: The dataUnitConversionEnabled configuration item was not enabled, so data calibers were not unified.

How to Verify Successful Configuration

On the FastGPT plugin management page, verify whether the toolDataSourceList configuration includes all preset chemical fiber industry data sources, and confirm that authentication parameters are filled out correctly.
Initiate a test call, input a query instruction for the chemical fiber category, and verify that the returned tool call results include valid data from the corresponding data sources.
Review tool call logs, confirm that the trigger frequency configured in pluginUpdateCycle matches the data source update rhythm, with no repeated or lagging calls.
Review data conversion logs, confirm that all returned field units have been unified to the common chemical fiber industry format.

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.