Data Profile for This Category
This category's data originates from customer drawings, special characteristic lists, ERP/MES systems, measurement and inspection tool collection data, equipment process parameters, and supplier quality certificates. Daily processed documents include control plans, process flow diagrams, work instructions, first-piece inspection records, SPC reports, PPAP materials, and 8D reports. Each document includes fields such as special characteristic numbers, process parameters, tolerance ranges, and inspection frequencies. Units include millimeters, newton meters, percentages, and other standard units. Data updates synchronize with each production batch, shift-by-shift inspections, and continuously collected equipment parameters.
Constraints Imposed on Multi-Turn Dialogue and Prompt Engineering
Data for this category is scattered and updated frequently. Multi-turn dialogue must link cross-system process parameters and batch information, so stable context variable transmission is required. Different document types use distinct review rules, so prompts must adapt to verification logic for specific documents such as control plans and SPC reports. The high update frequency requires dialogue contexts to retain the latest batch data, while limiting historical turns to avoid interference from redundant information. Errors in high-volume manufacturing carry severe consequences, so multi-turn dialogue must complete verification steps for characteristic distribution, process monitoring, and exception analysis in sequence to ensure parameter matching at each stage.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
messages | Retain the last 10 turns of dialogue, with no more than 800 characters per turn | Adapt to the high-frequency updated batch data of this category, avoid context overload interfering with current reviews |
variables | Bind the current batch's special characteristic list and ERP process parameters | Ensure stable transmission of cross-system data during multi-turn dialogue, match real-time production batch information |
chatId | Create using a unique identifier per production batch | Distinguish review contexts for different batches, avoid mixing data across batches |
| Maximum context length | Calibrated based on actual testing, range 1200–1800 tokens | Adapt to the verification logic of multiple document types, balance context completeness and response speed |
| Maximum single dialogue turns | 5–7 turns | Complete the review steps of characteristic distribution, process monitoring, and exception analysis in sequence, align with the category's step-by-step verification requirements |
| Prompt template | Write in modules by document type, include special characteristic verification and exception trend analysis rules | Adapt to differentiated review requirements for different documents such as control plans and SPC reports |
Three Common Misconfigurations
- Phenomenon: Unable to retrieve process parameters from code run outputs during multi-turn dialogue, variable fields are empty. Cause: Did not bind the workflow's code run output via the
variablesparameter, resulting in no corresponding data being passed in the context. - Phenomenon: Dialogue response times out, single interaction takes more than 600 seconds. Cause: Did not limit the historical turns of
messages, the context contains excessive redundant historical batch data, leading to high processing load. - Phenomenon: Review results do not match the current batch's special characteristics. Cause: Did not create a
chatIdper production batch, causing the context to associate parameter data from the wrong batch.
How to Confirm Proper Configuration
- Initiate a test dialogue containing the current batch's special characteristics, check if the dialogue context automatically loads the corresponding
variablesparameters. - Verify that the
chatIdis uniquely generated per production batch, avoid context mixing across batches. - Trigger the code run node, confirm that the output process parameters can be properly retrieved by the dialogue variables.
- Test multi-turn interaction, check that the number of dialogue turns adheres to the set limit, with no redundant historical data interfering.
The values provided here are common starting points, and should be evaluated against the samples used in actual deployment.