What the data for this category looks like
Daily documents for this category include equipment ledgers, inspection checklists, maintenance plans, work orders, failure analysis, spare parts lists, and special equipment inspection records. Data sources include EAM/CMMS systems, equipment sensor data, operator inspection records, maintenance history, spare parts inventory, and statutory inspection information. Update frequencies cover shifts, daily, weekly, monthly cycles, and immediate updates when a fault occurs. Document fields include equipment numbers, inspection point parameters, spare part codes and inventory quantities, inspection validity periods, and additional relevant fields. Units include millimeters, degrees Celsius, pieces, hours, and other standard units.
Constraints imposed by these characteristics on multi-turn dialogue and prompt engineering
Decentralized multi-source data requires multi-turn dialogue to first use classification nodes to split branches, enabling accurate calls to the knowledge base for the target equipment type. Dynamically updated data requires prompts to support real-time retrieval of the latest inventory and inspection status, to avoid using expired information. Compiling graded inspection and shutdown maintenance plans is a time-consuming task, so multi-turn dialogue must guide users to gradually input parameters such as equipment model, inspection cycle, and project scheduling window. Serious error risks require prompts to include built-in verification logic, to cross-check spare part replacement plans and statutory inspection requirements, and ensure bid content complies with regulations.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
| Question classification node | Split branches by equipment type and inspection type | Equipment inspection data is stored classified by equipment, so classification allows accurate calling of the corresponding knowledge base |
| Knowledge base association | Bind knowledge bases for equipment ledgers, inspection checklists, spare parts lists, and special equipment inspection records | Bid documents and quotations need to cover basic equipment information, inspection standards, spare parts costs, and statutory inspection requirements |
| Maximum context | 8000–12000 characters | Equipment-related documents include multiple work orders and inspection records, so complete historical dialogue and referenced content must be retained |
| Single search limit | top 6 entries | Equipment data entries are clearly structured; too many search results will interfere with content accuracy |
variables | Pass variables for equipment number, inspection cycle, and bid project name | Multi-turn dialogue needs to dynamically fill in personalized bid content and parameters |
chatId | Automatically generate a unique session identifier | Multi-turn dialogue needs to bind exclusive context to avoid mixing content from different sessions |
| Dialogue timeout | 300 seconds | Equipment data queries and knowledge base calls take a certain amount of time; timeout will interrupt the interaction process |
Three Common Misconfigurations
- Symptom: No corresponding output field appears in the dialogue interface after an HTTP orchestration node runs. Cause: Variable return to the dialogue context was not enabled in the configuration, so the output was not mounted to the
messagesparameter. - Symptom: Multi-turn dialogue cannot return to the question classification node to trigger the next interaction after completing branch calls. Cause: No loop trigger node was configured at the end of the workflow, so the process terminates after execution.
- Symptom: The generated bid document does not include content related to special equipment inspection records. Cause: The prompt did not specify binding the knowledge base for statutory inspection information, resulting in missing mandatory compliance content.
How to Verify Correct Configuration
- Trigger the question classification node, select a specified equipment type, and confirm that the dialogue automatically associates the knowledge base documents for that equipment.
- Initiate an interaction involving spare part price verification, and confirm that the output dynamically uses preset variable parameters.
- Test continuous multi-turn dialogue, and confirm that historical interaction content is fully retained in the context window.
- Trigger a timeout scenario, and confirm that the system returns the corresponding prompt based on the configured duration.
The values provided are common starting points and should be measured against the reader's own samples.