What This Category of Data Looks Like
This category of data includes product drawings and 3D models, CAPP/CAM files, machine tool collection logs, tool lists, CNC programs, first-piece inspection records, patrol inspection forms, and measuring tool calibration records. Data sources cover process, production, and inspection workflows. Updates trigger when work orders, individual workpieces, sampling batches, or tool changes occur. Each document includes fields such as process parameters, tool model, inspection values, and machine tool operating parameters. Data is stored as text, structured tables, and logs.
Constraints on Multi-turn Dialogue and Prompt Engineering from These Data Characteristics
This category of data includes structured process parameters, unstructured machine tool logs and inspection records. Update frequency triggers dynamically with production nodes. Multi-turn dialogue must bind to the unique identifier of the corresponding work order to ensure accurate context association. Professional terms such as tool wear amount and dimensional tolerance must clearly define the domain scope in prompt engineering to avoid generalized interpretation. The system must also adapt to multi-format data input to ensure correct extraction of process and inspection data from different sources for analysis. Frequently updated tool and process data requires timely synchronization of the latest status in dialogue context to prevent use of outdated information for defect analysis. Configuration options in FastGPT v4.17.0 support the above binding and synchronization logic.
Configuration Recommendations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Context Binding | Bind chatId by work order ID | Ensure multi-turn dialogue for the same work order associates with correct process and inspection data |
| Variable Injection | Inject variables as the current process step's tool list and first-piece inspection records | Provide real-time production-specific parameters for prompt engineering |
| Historical Message Limit | Retain the most recent 20 messages | Balance context completeness and response speed |
| Knowledge Base Recall Scope | Limit recall to the first 5 current process step's process routes and CNC programs | Match category-specific data sources |
| Context Timeout | 600 seconds | Match the average machining cycle for a single work order |
Three Common Configuration Errors
- Symptom: Dialogue history cannot be queried in the storage system, and corresponding fields are empty. Cause: The
chatIdof the corresponding work order is not bound, leading to incorrect archiving of dialogue records to the specified storage path. - Symptom: Knowledge base debugging works normally, but AI dialogue responses do not reference recalled knowledge base content. Cause: Current process step-specific process parameters are not injected via
variables, and the prompt does not define the recall scope. - Symptom: Program execution results cannot be used as background knowledge input to subsequent AI dialogue modules. Cause: Execution results are not passed to the dialogue configuration via
variables, leading to missing of these results in the context.
How to Verify Correct Configuration
- Initiate a test dialogue for a single process step, check if the
chatIdmatches the unique identifier of the current work order to ensure correct context association. - View the
variablesparameter of the dialogue, confirm that current process step-specific data such as tool list and first-piece inspection records have been injected. - Trigger multiple consecutive questions, check if the
messagesretain key parameters from previous dialogue to ensure coherent context. - Call the knowledge base search function, verify that recalled content is limited to the current process step's process routes and CNC programs.
The values provided here are common starting points, and should be evaluated against the reader's own samples.