What This Category of Data Looks Like
This category of data covers production support documents from manufacturing enterprise equipment departments, workshop maintenance teams, and public utility departments, including 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 data, and statutory inspection information. Update frequencies cover shifts, daily/weekly/monthly cycles, and times when failures occur. Data fields include equipment number, inspection time, inspection item status, work order number, spare parts code, inventory quantity, and more. Corresponding units include hours, pieces, sets, and others.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Data sources for this category are scattered and update frequencies vary, requiring multi-turn dialogue to support real-time data retrieval across multiple data sources, and prompts to clearly specify call rules for different documents. Fields and units vary across multiple document types, so dialogue interactions must guide users to clearly specify filter conditions such as equipment number and time range to avoid field confusion. Statutory inspection documents require fixed verification logic, and prompts must embed fixed steps for compliance checks. Association between maintenance work orders and inspection records requires dialogue flows to support layered traceability, jumping from current inspection abnormalities to corresponding historical maintenance records. Cross-departmental data sharing requires dialogue to support permission filtering, ensuring that only corresponding teams can view equipment data they are responsible for.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Number of retained conversation history entries | Top 20 entries | This category of data updates frequently; overly long history will interfere with the accuracy of current conversations. 20 entries can cover recent inspection and maintenance context |
| Context window size | 8000–12000 token | Adapts to the field length of multiple document types, avoids loss of key equipment information due to content truncation, and matches the window limit of FastGPT v4.17.0 |
variables preset | Equipment number, inspection cycle, inspection expiration date | Covers core data fields of this category, reducing the frequency of manual user input |
chatId binding | Bound to workshop equipment groups | Ensures the dialogue only calls inspection and maintenance data for the corresponding workshop, avoiding confusion across workshop data |
| Number of documents returned per single dialogue | Top 5 entries | Controls the volume of returned content, avoiding information overload that impairs understanding |
| Timeout setting | 300 seconds | Adapts to data retrieval delays in EAM systems, ensuring complete retrieval of historical maintenance and inspection records |
Three Common Misconfigurations
- Symptom: Calling the dialogue interface returns a 400 status code with the prompt "context format error". Cause: The
messagesparameter was not passed hierarchically by role (user/assistant) as required, and unmarked unstructured data was mixed in. - Symptom: Calling the conversation history interface only returns 10 entries, and full historical conversations cannot be obtained. Cause: The full retrieval logic corresponding to
chatIdwas not configured; by default, only recent conversation snippets are returned. - Symptom: The dialogue cannot retrieve preset spare parts list knowledge base content. Cause: The knowledge base was not associated with the application bound to the current
chatId, causing the session to fail to call the specified knowledge base data.
How to Verify Proper Configuration
- Initiate a query that includes a specific equipment number and inspection time, and verify that the returned results only include data related to equipment in the corresponding workshop.
- Call the conversation history interface, and confirm that full historical conversation content under the specified
chatIdcan be retrieved. - Enter a query that includes professional fields, and verify that the returned results accurately identify core fields such as equipment abnormality level and spare parts code.
- Trigger a compliance-related query, and verify that the returned results include relevant verification logic for statutory inspections.
The values provided are common starting points and should be evaluated against the reader's own samples.