What the data for this category looks like
Business data for this category comes from EAM/CMMS systems, equipment sensor data, operator inspection records, maintenance history archives, spare parts inventory lists, and statutory inspection records for special equipment. Data update cycles cover per-shift inspection submissions, daily/weekly/monthly maintenance plan updates, and immediate reporting when a fault occurs. Daily documents include equipment ledgers, inspection sheets, maintenance plans, work orders, fault analysis reports, spare parts lists, and special equipment inspection records. Equipment ledgers include fields for equipment number, model, and installation date. Inspection sheets include fields for inspection time, inspection items, and anomaly flags. Work orders include fields for work order number, fault description, and handling measures. Sensor data includes real-time monitored values such as temperature and vibration acceleration.
What constraints these characteristics impose on the tool calling and plugins workflow
Multi-source heterogeneous data formats require tool calling to adapt to three scenarios: structured database queries, semi-structured document reading, and time-series data parsing. Frequently updated fault data requires tool calling to have low-latency response capabilities to avoid delaying maintenance scheduling. Device-centric association logic requires tool calling to bind precise fields such as equipment number and work order ID, to avoid generic searches returning irrelevant results. Data accuracy directly affects serious consequences such as unplanned downtime and batch quality issues, so tool calling results must undergo secondary verification to ensure consistency with equipment ledgers and inventory records.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Set to functionCall | Precise calling of designated tools to process device-related structured data is required, to avoid generic calls |
| Plugin data binding rules | Bind equipment number and work order ID fields | All business data is associated around devices, so precise matching of corresponding records is needed |
| Timeout threshold | 30–60 seconds | Device fault response requires speed; excessive timeout will delay maintenance scheduling |
| Result verification switch | Enabled | Data accuracy directly affects maintenance decisions, so returned results must be verified to match equipment ledgers |
| Number of data items per call | First 8–12 entries | Individual inspection and maintenance record data volumes are small; too many entries will exceed the context limit |
| Context capacity limit | 8000–10000 token | Adapts to single-batch query volumes for device data, to avoid exceeding model context limits |
Three common errors
- Phenomenon: Tool calling results are only displayed when re-entering the session, with no return on the first call. Cause: No rule is configured to automatically save tool call outputs in the session context, resulting in uncached results.
- Phenomenon: Unable to locate file processing plugins. Cause: The installed FastGPT v4.17.0 version does not integrate this plugin, or the corresponding permission is not enabled on the plugin management page.
- Phenomenon: The code running plugin fails to extract specified elements when processing JSON data. Cause: The matching fields for data extraction are not configured correctly, or the extraction rules are not adjusted to match the JSON structure of device data.
How to confirm the configuration is correct
- Manually trigger tool calling to query the inspection records of a specified device, and verify that the returned results match the records exported from the EAM system.
- Confirm that permissions for required tools are enabled on the plugin management page, and check if the target tool is included in the plugin list.
- Submit a test question containing an equipment number, and verify that the tool calling result correctly binds the work order and spare parts information for the corresponding device.
- Simulate a device fault to trigger tool calling, and check that the timeout time of the returned results matches the preset 30–60 second threshold.
The values provided here are common starting points and should be evaluated against the reader's own samples.