What Data for This Category Looks Like
Data for this category originates from multiple sources across manufacturing enterprise equipment departments and maintenance teams. This includes equipment ledgers, inspection checklists, and maintenance plans exported from EAM/CMMS systems. It also includes real-time operational data collected by equipment sensors, inspection records filled out manually by operators, maintenance history archives, spare part inventory ledgers, and legally required inspection documents. Data updates take place during shift-based inspections, daily, weekly, and monthly periodic maintenance, and immediate synchronization after unexpected equipment failures. Core fields across all documents include identifiers such as equipment number, inspection parameters, maintenance records, and spare part codes.
Constraints Imposed on Tool Calling and Plugin Workflows
Multiple heterogeneous data sources and varied update schedules require tool calling to support both scheduled pulling and event-triggered modes. This accommodates different access methods including EAM system interfaces, sensor data terminals, and manual document uploads. Diverse document types and field differences mean plugins must include structured parsing capabilities for documents such as equipment ledgers and inspection checklists. Plugins must accurately match these core identifier fields. Severe consequences such as unplanned downtime require tool calling result verification to cover data completeness and field consistency. This prevents incorrect parameters from being used in subsequent maintenance workflows.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto or specified document parsing, data pulling tools | Adapts to different scenarios of multi-source data access and fixed tool calling |
| Single tool call timeout | 30–60 seconds | Matches the typical time range for equipment data pulling and multi-document parsing |
| Number of results returned per tool call | Top 3–5 entries | Matches the typical volume of single-batch equipment data for this category |
| Tool call trigger rules | Two modes: per shift inspection cycle, fault-triggered events | Corresponds to regular and emergency update schedules for category data |
| Plugin field mapping configuration | Match corresponding fields by equipment number, inspection parameters, and spare part codes | Matches core identifier fields of category documents |
| Workflow output format | Structured JSON format | Facilitates converting model outputs into reusable maintenance work order documents |
Three Common Configuration Errors
- Scenario: When accessing equipment inspection documents via a custom URL, the tool returns no data and no error prompt. Cause: The URL access permission for the document parsing plugin is not configured, or the document format corresponding to the URL is not supported by the plugin.
- Scenario: When calling the FastGPT API, consecutive conversation requests enter a queue and wait, and the current generation process cannot be interrupted immediately. Cause: The interrupt trigger parameter for
functionCallis not configured correctly, or the streaming response mode is not enabled. - Scenario: A cross-origin error occurs during API calls, and the front end cannot directly access the server-side interface. Cause: Allowed cross-origin sources are not configured on the server, or cross-origin support is not enabled.
How to Confirm Successful Configuration
- Submit a simulated inspection data pulling request. Check if the tool returns the corresponding document content according to the configured trigger timing.
- Call the API to send consecutive conversation requests. Verify that an interrupt command can be issued during the generation process to terminate the current flow.
- Run the workflow. Check if the output result matches the structure of category documents, and can be directly used for compiling maintenance work orders.
- Conduct a cross-origin access test. Confirm that front-end requests can access the server-side interface normally without errors.
The values listed here are common starting points, and should be evaluated against applicable operational samples.