What this category of data looks like
This category of data typically comes from customer-provided product models, mold flow or forming simulation files, CAD/CAM engineering files, machining and dimensional measurement records, trial mold samples and inspection reports. Daily maintenance documents include mold design task sheets, DFM reports, part machining drawings, process cards, trial mold reports, mold modification notices, and mold history logs. Data updates are carried out on a per-project basis, with synchronized updates each time a trial mold is conducted, mold is modified, or mass production node changes. Data fields include mold number, cavity count, machining tolerance, material grade, trial mold defect records, and more. There is no unified fixed format, and adjustments are made according to project requirements.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
This category of data has diverse formats without unified standards, including vector engineering text, defect descriptions, inspection records, and other types. Therefore, prompt engineering for multi-turn dialogue needs to clearly specify extraction rules adapted to different document formats to avoid parsing confusion. Data is updated iteratively per project, with new content generated each trial mold or mold modification. Therefore, chatId must be bound to a single project session to ensure the context only associates with the full lifecycle data of the current mold, avoiding cross-project interference. The core business focuses on inspection and maintenance scenarios such as demolding defects and mold clamping accuracy. Prompt engineering needs to focus on mold-related equipment types and common issues, while organizing context according to project phases such as trial mold, mold modification, and mass production to ensure dialogue logic aligns with business processes.
How to set up configurations
This document is written based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind to the unique identifier of a single mold project | Ensure multi-turn dialogue context only associates with the full lifecycle data of the current mold, avoiding cross-project information interference |
variables | Preset project-specific variables such as mold number, trial mold batch, defect type | Adapt to the project-based update feature of this category of data, improving the accuracy of question and answer matching |
messages | Retain the context of the first 20 dialogue turns | Cover the complete process of multiple trial molds and mold modifications for mold projects, ensuring coherent dialogue logic |
| Maximum context length | 8000–12000 characters | Accommodate multiple types of content such as design documents, trial mold reports, and mold modification records for a single project |
| Prompt template | Pre-specify "Answer inspection and maintenance questions based on the current mold's trial mold reports and processing process cards" | Focus on the exclusive business scenario of mold design and manufacturing, avoiding generalized question and answer |
| Variable reference setting | Enable retention of parameter configuration entry after replacement | Support dynamic adjustment of dialogue-related parameters, adapting to debugging needs of different projects |
Three common errors
- After variable reference configuration is completed, the temperature parameter setting button disappears, making it impossible to adjust dialogue temperature. The cause is that the parameter configuration entry is not retained after variable reference is enabled, resulting in overwritten interface interaction logic.
- After binding
chatIdvia the API, the running data in the dialogue log is empty. The cause is that themessagesparameter is not correctly associated with the current project's context data, causing the system to fail to retrieve corresponding records. - Passing an any parameter in the prompt engineering of the text content extraction module, and returning undefine when extracting code block content. The cause is that the prompt engineering does not clearly specify the format scope of code blocks, making it impossible to match diverse engineering code fragments in this category of documents.
How to confirm correct configuration
- Initiate an inspection question targeting a single mold, and check whether the dialogue context only includes relevant documents and historical conversations of that mold.
- Test the variable reference function, confirm that the parameter configuration entry is not hidden, and dialogue-related parameters can be adjusted normally.
- Call the API to generate a dialogue, check whether the log includes running data and context records of the corresponding project.
- Input a trial mold defect description containing code blocks, and check whether the text extraction result correctly returns the code block content.
The values provided here are common starting points and should be measured against the reader's own samples.