What data for this category looks like
This category covers operational and maintenance content across the full lifecycle of manufacturing enterprise equipment. Daily documents include equipment ledgers, point checklists, maintenance plans, work orders, failure analysis, spare parts lists, and special equipment inspection records. Data sources include EAM/CMMS systems, real-time equipment sensor data, manual operator point check records, maintenance history archives, spare parts inventory ledgers, and statutory inspection information. Update frequency aligns with operational maintenance rhythms, covering shift-based, daily, weekly, monthly cycles, and immediate updates during unexpected equipment failures. Fields include equipment number, point check time, operating parameters, spare part code, inspection validity period, and others. Units include pressure values, operating hours, inspection counts, and others.
How these data characteristics constrain tool calling and plugin workflows
Data for this category is multi-source and heterogeneous, including structured system data, semi-structured point check forms, and unstructured maintenance documents. Tool calling must adapt to data sources in different formats. Frequently updated sensor and point check data requires tool calling synchronization frequency to match maintenance cycles, avoiding expired data usage. The statutory nature of special equipment inspection records requires tool calling to accurately match the inspection validity period field, preventing missed compliance verification steps. The strong association between maintenance work orders and spare parts lists requires tool calling to jointly retrieve relevant fields, ensuring the accuracy of maintenance plans. Additionally, equipment operational maintenance must comply with production scheduling; tool calling must be executed during non-shutdown windows to avoid disrupting production rhythms.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapt to automatic calling needs for multiple types of operational maintenance tools, no manual tool specification required |
| Workflow/API function-call configuration | enabled | Support calling document processing tools such as Doc2x to parse unstructured documents including point checklists and maintenance work orders |
| Context window length | 8000–12000 characters | Include complete document content such as equipment ledgers and maintenance work orders, avoid truncating critical operational maintenance information |
| Single tool call timeout | 60 seconds | Match the refresh interval of equipment sensor data, avoid long-term blocking of operational maintenance processes |
| Single search limit | Top 8 entries | Control the number of point check and maintenance data entries returned by retrieval, avoid context overload |
| Data source synchronization frequency | After each shift | Align with the update cycle of operator point check data, ensure tool calling uses the latest data |
| Tool call retry count | 2 times | Address temporary fluctuations in sensor data connections, reduce the probability of tool call failures |
Three common misconfigurations
- A "Connection error" is returned when calling semantic retrieval or full-text retrieval tools. Persistent connection parameters for EAM/CMMS data sources are not configured, leading to unstable access to equipment operational maintenance data during tool calls.
- A file read failure error occurs when calling the Doc2x tool. Non-standard PDF formats of point checklists and maintenance work orders are not adapted, so the tool cannot accurately extract core fields such as equipment numbers and point check parameters.
- When working with API call workflows, the spliced text result does not return variable content. The automatic binding logic for the
functionCallparameter is not enabled in the workflow, causing variables to not be correctly substituted into the splicing process.
How to verify correct configuration
- Manually trigger tool calling, enter a specified equipment number, verify that associated data such as point check history and maintenance work orders for that equipment can be correctly pulled.
- Upload a standard-format point checklist PDF file, verify that the Doc2x tool can extract fields such as equipment number, point check time, and operating parameters.
- Send an API test request for FastGPT v4.17.0, enter a splicing instruction containing preset variables, confirm that the returned result includes the actual content of the variables.
- Simulate concurrent tool calls, check for abnormal states such as timeouts and connection errors, confirm the stability of tool calling.
The values provided are common starting points and should be measured against the reader's own samples.