What This Category’s Data Looks Like
Data sources for production ledgers in metal cutting machining include product drawings and 3D models, CAPP/CAM systems, machine tool collection terminals, tool management systems, MES systems, and measurement tool calibration records. Daily documents include process routes, operation cards, tool lists, CNC programs, first-piece inspection records, patrol inspection forms, and measurement tool calibration records. Data updates are triggered per work order, upon completion of each workpiece, during sampling inspection, or when tools are replaced. Ledger fields include operation number, tool number, cutting speed, feed rate, inspection dimensions, equipment number, and others. Units include millimeters, revolutions per minute, millimeters per minute, piece count, and others.
Constraints on Multi-turn Dialogue and Prompt Engineering Workflows
Data for this category is distributed across multiple sources, updates frequently, and includes diverse document types. These traits create multiple constraints for multi-turn dialogue and prompt engineering workflows. Multi-source data requires step-by-step guidance of users to provide relevant documents via multi-turn dialogue, to avoid missing key fields. Frequent updates require dynamic synchronization of ledger data during dialogue, which requires binding the context identifier for the current work order. Large differences in field formats across different documents require prompts to clearly specify extraction rules. Severe consequences of machining errors require dialogue to verify data consistency, preventing incorrect parameters from being added to the ledger.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Maximum Context Length | First 20 dialogue turns | Matches typical dialogue rounds for metal cutting work orders, prevents context overflow and loss of critical data |
chatId Binding Rule | Bind to current work order ID | Ensures dialogue context is associated with ledger data for the corresponding work order, enabling full-process traceability |
variables Mapping Configuration | Map fields such as operation number, tool number | Automatically extracts core ledger fields from documents, reducing errors from manual input |
messages History Limit | Retain the most recent 15 dialogue turns | Controls total context length, adapting to system processing performance |
| Timeout Threshold | 600 seconds | Matches the upload and processing cycle of machine tool collection data, preventing session interruptions mid-process |
Three Common Misconfigurations
- When uploading CNC program or patrol inspection form files during dialogue, the system displays "fail to create post presigned url". This occurs because S3 storage configuration was not updated synchronously after upgrading to FastGPT v4.14.3, causing temporary signature generation to fail.
- Ledger reports generated via multi-turn dialogue lack tool wear data. This occurs because the prompt did not explicitly require extracting wear fields from tool lists and patrol inspection forms, and did not bind the corresponding mapping rules via
variables. - The dialogue window returns a system error prompt. This occurs because the
messageshistory length was not limited, causing context overflow that triggers a system error.
How to Verify Proper Configuration
- A new work order dialogue is initiated, the work order number is entered, and
variablesare checked to confirm automatic binding of the corresponding work order’s process route fields. - A tool list file is uploaded, and the dialogue is confirmed to extract core ledger information such as tool number and cutting speed.
- More than 15 consecutive dialogue turns are initiated, and the context bound to
chatIdis checked to ensure no critical machining data is lost. - After upgrading to FastGPT v4.17.0, the S3 storage path is reconfigured, and file uploads are tested to confirm no errors occur.
The values listed here are common starting points, and should be evaluated against the reader’s own operational samples.