What Data for This Category Looks Like
Data is primarily sourced from power grid enterprise marketing operation systems, safety supervision archives, and project declaration platforms. Update frequency follows individual batch declaration cycles or daily incremental syncs. Documents include structured declaration forms with fields for project number, voltage level, and declaration amount, with units in ten thousand yuan, plus unstructured attachments such as survey reports and qualification certificates in PDF or Word format. The length of single case documents varies widely, ranging from hundreds to tens of thousands of characters.
Constraints Imposed on Tool Calling and Plugins by These Characteristics
Enumeration constraints for structured declaration fields — for example, voltage level only supports options like 10kV and 35kV — require strict matching of preset parameter values during tool calling to avoid invalid input. Unstructured attachments require multi-format parsing, so plugins must adapt to common document types including PDF and Word, and adjust call timeout thresholds based on individual document length. Batch-based data sync rhythm requires tool calling to support specifying declaration batch range parameters, to avoid pulling redundant or expired data. Wide variation in single case document length requires plugins to support dynamic adjustment of per-parsing character limits.
Configuration Settings
These configuration items apply to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolChoice | auto | Adapts to mixed processing needs for structured fields and unstructured attachments in declaration materials, automatically selects tool calling type |
| Single call timeout | 600–1200 seconds | Matches parsing duration of single case documents ranging from hundreds to tens of thousands of characters, avoids timeout for long document parsing |
| Document parsing format adaptation | Enable PDF and Word parsing plugins | Covers common attachment formats such as qualification certificates and survey reports, adapts to attachment types for power grid declaration materials |
| Batch range parameter binding | Filter by declaration batch ID | Matches batch-based data sync rhythm, avoids pulling redundant or expired case data |
functionCall | Enable dynamic parameter mapping | Adapts to field differences across different declaration projects, supports dynamic adjustment of tool calling parameter templates |
| Result verification threshold | Calibrate based on actual testing | Performs enumeration verification for structured fields, ensures tool return results comply with format requirements for power grid declarations |
Three Common Misconfigurations
- Tool calling throws database connection timeout error, but MongoDB visualization tools can normally access the cluster. Cause: The MongoDB connection configuration for FastGPT plugins did not specify the correct read-write node; only configuring the read-only node causes tool calling to fail.
- HTTP results returned by tool calling are not correctly parsed into analyzable structured data, preventing the AI from completing expected analysis. Cause: The field mapping rule for HTTP results was not enabled in plugin configuration, and returned content was not bound to standard fields for power grid declaration materials.
- Calls to the conversation interface return results not associated with the specified declaration case knowledge base. Cause: The knowledge base binding parameter was not correctly configured in interface request parameters, or the knowledge base association configuration item was not enabled.
How to Verify Correct Configuration
- Manually trigger tool calling, check if plugin logs correctly match declaration batch range parameters, with no redundant data pull records.
- Upload a standard power grid declaration case document, verify that the plugin correctly parses structured fields and unstructured attachments, and that return results comply with preset formats.
- Call the conversation interface, specify the target knowledge base ID in request parameters, verify that return results are associated with case data from that knowledge base.
- Check tool calling runtime logs, confirm there are no error messages related to database connections or format parsing.
The values provided are common starting points and should be evaluated against samples specific to the deployment environment.
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.