What data for this category looks like
This category’s data originates from electromagnetic design documents, copper wire and insulation material batch records, winding equipment logs, dynamic balancing machine data, electrical test bench reports, and ERP/MES system work orders. Production teams generate documents including winding process cards, insulation treatment records, dynamic balancing reports, dielectric strength test results, and type and factory inspection reports. The system updates data per motor or per production batch, and synchronizes updates with each process type change. Document fields include professional parameters such as winding turns, insulation layer thickness, test voltage, and temperature rise values.
What constraints these characteristics impose on tool calling and plugins
Multi-source heterogeneous data sources demand that tool calling solutions support multiple formats including device logs, paper scan documents, and structured test reports, to avoid missing data during parsing. The update rhythm based on batches or single production runs requires plugin data source refresh to adapt to small-batch, high-frequency refresh needs, to avoid audit deviations caused by delayed data. Professional electromagnetic and mechanical parameter fields require tool calling parameter mapping to match exclusive fields such as winding turns and insulation thickness, and teams cannot directly reuse general mechanical assembly scenario parameter configurations. The serious consequences of business errors require plugin verification logic to add outlier interception steps, to early identify issues such as incorrect winding turns and abnormal insulation parameters.
How to configure
This configuration is based on FastGPT v4.17.0
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Tool calling mode | Set toolChoice to auto, or manually specify functionCall | Adapt to structured parameter calls for professional inspection scenarios, support automatic matching of tools such as winding turns verification and insulation parameter checking |
| Data source refresh frequency | Every 30–60 minutes, or triggered by production batch | Match the update rhythm per batch or per unit for this category, avoid delayed data |
| Number of returned entries per single tool call | Top 8–12 entries | Adapt to the number of inspection documents for a single motor, avoid redundant data occupying context |
| Tool calling timeout threshold | 120 seconds | Cover the time required for multi-source data pulling and professional parameter verification |
| Parameter mapping rules | Bind exclusive fields such as winding turns and insulation thickness | Match the professional document fields of this category, avoid mismatches from general parameters |
Three Common Mistakes
- When configuring external tools, teams fix the API address to a generic domain name, which cannot match the exclusive interface address of the current production batch. This occurs because the business requirement of pulling material and test data per batch for this category is not adapted to, resulting in returned data not matching the batch of the motor to be audited.
- Teams receive a 500 status code when calling the
/api/core/dataset/updateinterface, with normal browser access but failed API call. This occurs because correct authentication parameters are not added in the plugin configuration, resulting in failed API authentication. - Teams experience empty output or interruptions when calling professional verification tools in a workflow. This occurs because parameter mapping rules adapted to the professional fields of this category are not configured, resulting in the tool being unable to identify exclusive parameters such as winding turns and insulation thickness during calling.
How to Confirm the Configuration Is Correct
- Trigger a single motor inspection audit process, and check if tool calling can pull documents such as winding process cards and test reports for the corresponding batch.
- Call the configured external tool interface, and verify that the returned data includes professional exclusive parameters of this category such as winding turns and insulation thickness.
- Simulate a production batch change, and check if tool calling can pull the latest test data after the data source is refreshed.
- Trigger a tool calling timeout scenario, and verify that the system returns correct error prompts according to the configured threshold.
The values provided are common starting points and should be evaluated against the reader's own samples.