What This Category of Data Looks Like
Urban investment platform policy and regulatory basis data mainly comes from public government documents of local development and reform, finance, and housing and urban-rural development departments, as well as the platform's internal management systems and business specification documents. The update rhythm follows local policy adjustments and internal business optimizations, with no fixed cycle. Document structures include fields such as release document number, issuing authority, effective date, applicable scope, clause details, and attachment materials. Field units are mostly "district-level/municipal-level/provincial-level", "ten thousand yuan", "square meters", and similar units. Some documents include specific templates for project declaration and fund usage.
What Constraints These Characteristics Impose on Tool Calling and Plugins
The multi-source nature of urban investment policy data requires tool calling plugins to connect both internal document libraries and public government data sources, and configure dual-data-source synchronization rules. Policy documents have rich fields including key identifiers such as effective date and document number. Tool calling must support precise field matching and time range filtering to avoid returning expired or irrelevant policy content. The non-fixed data update cycle requires plugins to support both manual trigger synchronization and scheduled task update methods to ensure the timeliness of retrieved data. Some documents include attachments, so tool calling plugins must have the ability to extract and parse attachment content to meet retrieval needs for complete policy basis.
How to Configure the Settings
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
| Data Source Synchronization Frequency | 1-7 days, calibrated based on actual testing | Matches the non-fixed update rhythm of urban investment policy updates |
| Tool Calling Timeout | 30-60 seconds | Adapts to retrieval and content pulling requirements for long policy documents |
toolChoice | Auto | Adapts to retrieval and matching logic for multiple types of policy documents, and complies with FastGPT v4.17.0 plugin calling rules |
| Parameter Passing Rule | Pass via document field mapping | Matches core fields of policy documents such as document number, effective date, and applicable scope |
| Third-Party Library Loading Limit | 1000 MB | Supports complex processing requirements such as policy document format parsing and attachment extraction |
Three Common Misconfigurations
- When calling the Mermaid diagram plugin, the returned result has no image link. The cause is failing to correctly map process-based clauses of urban investment policies to Mermaid diagram node and connection rules, and failing to associate content from the corresponding policy document.
- The effective date parameter passed during tool calling does not take effect. The cause is failing to configure the mapping relationship between parameter passing and policy document fields, and directly using a generic parameter template.
- The code running plugin reports an error indicating a missing third-party library. The cause is failing to declare required third-party library names and versions in the plugin configuration, resulting in inability to call dependencies during runtime.
How to Confirm the Configuration Is Correct
- Manually trigger a data source synchronization, and check whether system logs show policy document update time and quantity meet expectations.
- Input a test question that includes a policy document number, call the tool with
toolChoiceset to auto, and check whether returned results match specific clauses of the corresponding policy. - Input a test question that includes an effective date range, and check whether tool calling results only return policy documents within that time period.
- Run the code running plugin, load the specified third-party library, execute a simple text parsing operation, and check whether execution can be completed normally.
The values given here are common starting points and should be measured against samples from the actual 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.