What the data for this category looks like
Data sources for engineering machinery service inquiry and reply include equipment factory operation and maintenance manuals, on-site operation logs, after-sales work order systems, and working condition collection terminals. Static data such as operation manuals is updated with version iterations. Dynamic data such as operation logs and work orders is synchronized in real time or hourly based on on-site operations. Working condition collection data is updated at fixed intervals. Each inquiry data entry has a document structure that includes equipment model, serial number, fault code, working condition parameters, processing steps, and timestamp. Field units include revolutions per minute, megapascals, operating hours, and similar units. Field details vary slightly across different equipment models.
What constraints these characteristics impose on the "workflow orchestration" link
Version differences in static operation documents require workflows to configure a version verification step to avoid calling outdated guidance content. Non-fixed field structures in dynamic operation logs and work orders require workflows to enable dynamic variable adaptation. Without this adaptation, the workflow cannot support inquiry requests from different equipment models. Working condition data and work orders with high real-time requirements require workflows to configure high-frequency data source synchronization steps. Without these steps, reply content will lag behind on-site status. Field differences across different equipment also require workflows to add field verification during data pulling. This prevents process interruptions caused by missing fields.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Data source synchronization frequency | Every 15 minutes | Matches the update rhythm of engineering machinery dynamic data, ensuring timeliness of inquiry data |
| Single data source pull count | Top 100 entries | Avoids excessive resource usage from loading all operation and maintenance data at once, improving running speed |
| Dynamic variable configuration | variables enables dynamic field mapping | Adapts non-fixed field structures for different equipment models and fault work orders |
| Node timeout threshold | 600 seconds | Addresses time spent pulling working condition data for large equipment, preventing abnormal workflow interruptions |
| Output content filtering rules | Only retain official processing steps and parameters | Fits the service inquiry reply scenario, shielding unnecessary search logs |
| HTML rendering permission | Enable output rendering | Supports outputting HTML-formatted fault guidance content during workflow execution |
Three common errors
- Phenomenon: After configuring an HTML output node in the workflow, there is no rendering result during runtime and the workflow jumps directly to the next node. Cause: The rendering permission for HTML content was not configured via
variables, causing the node output to be automatically filtered by the system. - Phenomenon: The overall workflow runtime is too long, exceeding the business response threshold. Cause: The number of single data source pulls was not limited. Loading all engineering machinery operation and maintenance data at once causes excessive resource usage.
- Phenomenon: The reply after tool call includes input and response reference content from knowledge base search. Cause: Output content filtering rules were not configured, and non-business-necessary search log information was not blocked.
How to confirm the configuration is correct
Reference only; verify against the target FastGPT release and deployment documentation.
- Trigger a fault inquiry request for the corresponding equipment model, check that the reply content only includes official processing steps and parameters, with no redundant search log information.
- Simulate working condition data pulling for large equipment, check the workflow node running logs to confirm no timeout interruptions are triggered.
- Test inquiry requests for different equipment models, confirm that
variablesdynamic field mapping works normally, and the output content matches the document structure of the corresponding equipment. - Configure an HTML output node and pass test code, check that the reply page renders HTML content normally, with no abnormal direct jump to the next node.
The values provided here are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.