What the data for this category looks like
Data for this category comes from enterprise EAM/CMMS systems, real-time equipment sensor data, operator point inspection records, maintenance history archives, spare parts inventory lists, and statutory inspection documents. Update cycles cover shift-based point inspections, weekly maintenance plan updates, monthly spare parts inventory counts, and immediate records when faults occur. Core documents include equipment ledgers, point inspection forms, maintenance work orders, and related items. Fields include equipment numbers, point inspection point parameters, spare part codes, inspection validity periods, and more. Units include millimeters, pascals, operating hours, and more.
Constraints Imposed on Tool Calling and Plugin Workflows by These Characteristics
Multiple heterogeneous data sources and differing update frequencies require tool calling to support a mixed invocation mode that pulls real-time sensor data and queries offline historical data. When toolChoice is set to auto, it automatically matches invocation requirements across multiple data sources. Complex document structures and multi-field attributes require plugins to precisely match field formats of equipment ledgers, point inspection forms, and similar items, to avoid parameter mismatches. Severe consequences such as unplanned downtime require tool calling workflows to include retry mechanisms and parameter validation logic, to ensure invocation stability. The requirement that maintenance windows follow production scheduling requires tool calling to link production schedule data, to avoid triggering maintenance-related operations outside allowed downtime windows.
How to Configure Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto or specify a specific tool | Adapts to flexible invocation needs for multi-source equipment data |
| Tool call retry count | 2–3 times | Addresses temporary interruptions in equipment sensor data or interface fluctuations |
| Number of items returned per tool call | Top 8 | Adapts to batch point inspection data pulls for a single workshop, avoids context overload |
| Workflow/API function-call configuration | Enable strict mode | Ensures tool call parameters conform to field formats of equipment ledgers and inspection records |
| Context window length | 1500–2000 characters | Accommodates complete point inspection and maintenance history data for a single piece of equipment |
| Plugin data timeout period | 30–60 seconds | Adapts to real-time pull requirements for equipment sensor data |
| Workflow/API tool selection | Trigger based on production schedule | Adapts to the business requirement that maintenance windows follow production scheduling |
Three Common Misconfigurations
- A
400 InternalError.Algo.InvalidParametererror occurs when calling a tool. The cause is a failure to match the standard field format of the equipment ledger, such as passing a non-preset equipment number parameter. - An exception triggers when using a time application plugin to retrieve point inspection cycle data. The cause is a failure to adapt the plugin's time parameter range to the daily/weekly/monthly update frequency.
- Tool calls to external services fail to trigger. The cause is incorrect configuration of the plugin's access protocol parameters, which prevents completion of data permission verification.
How to Verify Successful Configuration
- Initiate a point inspection query request for a single piece of equipment, and confirm that returned data includes core fields such as equipment number, point inspection points, and parameter thresholds.
- Simulate a fault to trigger a tool call, and check that associated data for corresponding maintenance work orders and spare parts inventory is retrieved.
- Trigger the timeout retry logic, and confirm that a normal call result is returned after the specified number of retries.
- Validate time parameters for statutory inspection records, and confirm that the plugin correctly matches the field format for inspection validity periods.
The values provided are common starting points and should be measured against the reader's own samples.