Process Specification and Technical Standard Q&A for Mold Design and Manufacturing: Multi-turn Dialogue and Prompt Engineering

Data for this category originates from customer product models, mold flow or forming simulation files, CAD/CAM design files, machining and measurement

What This Category of Data Includes

Data for this category originates from customer product models, mold flow or forming simulation files, CAD/CAM design files, machining and measurement data, and trial mold samples. Daily documents include mold design task sheets, DFM reports, part drawings, machining process cards, trial mold reports, mold modification notices, and mold history records. Data updates follow project milestones, and are synchronized after each trial mold or modification. Document fields include exclusive parameters such as demolding angle, shrinkage rate, assembly tolerance, and mold service life.

Constraints Imposed on Multi-turn Dialogue and Prompt Engineering

The exclusive document structure and high-frequency iteration characteristics of mold design and manufacturing require multi-turn dialogue to retain full project lifecycle context, avoiding repeated questions about basic parameters. High-frequency data updates from trial molds and modifications require prompts to dynamically link to the latest versions of process cards and trial mold reports, preventing reference to outdated content. The semantic specificity of exclusive fields such as demolding angle and assembly tolerance requires prompts to limit Q&A scope to mold process specifications and technical standards, avoiding cross-category confusion. Additionally, dialogue output for multi-node workflows must distinguish between internal debugging and external display, preventing redundant information from interfering with business personnel.

Configuration Settings

These configurations are based on FastGPT v4.17.0.

Configuration ItemRecommended SettingRationale
Context window size8000–12000 charactersCovers the core document length of the full mold design process for a single project
Multi-turn dialogue context retentionRetained for the entire project cycleAvoids cross-project context confusion, adapts to iterative business processes
Prompt variable bindingBind project ID and trial mold batch from variablesAccurately links the latest documents and process data for the current project
Number of responses per single dialogueTop 3 entriesFilters redundant historical responses, focuses on current process questions
Dialogue node output controlHide based on debugging node tagsAvoids output confusion from multiple AI nodes in workflows
Timeout threshold300 secondsCovers thinking and data retrieval time for complex process questions

Three Common Misconfigurations

  1. All responses from multiple AI dialogue nodes in a workflow appear in the final chat interface. This occurs when output hiding rules for individual nodes are not configured, and current session context attribution is not limited via chatId and messages.
  2. Q&A only supports single questions and cannot trigger multi-turn follow-up questions. This occurs when the multi-turn dialogue context retention switch is not enabled, and only single-round Q&A logic is called.
  3. Prompts cannot accurately match the latest trial mold report content. This occurs when project-specific variables are not bound, resulting in called document versions that do not match the current project.

How to Verify Correct Configuration

  • A multi-turn question including trial mold defect descriptions is initiated. Dialogue context is verified to retain previous demolding angle parameters without repeated explanation.
  • A workflow containing multiple AI dialogue nodes is run. Responses from non-current interaction nodes are checked to ensure they do not appear in the chat interface.
  • A login-free session is called. The custom icon is verified to be correctly displayed in the dialogue window.
  • A new version of the trial mold report is uploaded. A relevant question is initiated, and returned content is verified to match the latest version of the document data.

The values provided are common starting points and should be measured against the reader's own samples.