Quality Problem Traceability and Defect Analysis for Mold Design and Manufacturing: Multi-turn Dialogue and Prompt Engineering

This category covers injection molding, stamping, and die-casting mold enterprises, as well as mold centers within manufacturing enterprises. Daily

What Data for This Category Looks Like

This category covers injection molding, stamping, and die-casting mold enterprises, as well as mold centers within manufacturing enterprises. 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 sources include customer product models, mold flow or forming simulation results, CAD/CAM files, machining and measurement data, and trial mold samples. Data updates follow project progress, with updates made after each trial mold or mold modification. Core time-consuming steps include reviewing demolding defects, shrinkage issues, and formability, coordinating machining and assembly accuracy for multiple parts, and repeated mold modifications based on trial mold defects. Deliverables are repeat production tooling, which undergoes design, manufacturing, and trial mold iterations, differing from the single-piece delivery model of standard part machining.

Business data for mold design and manufacturing is scattered and updated iteratively per project. Multi-turn dialogue must gradually guide users to provide key information for corresponding documents, avoiding excessive one-time input that causes context confusion. Professional fields such as demolding angle, shrinkage rate, and number of mold cavities need to accurately match business requirements, so prompts must bind standardized business variables, avoiding parameter deviation caused by general extraction logic. Dialogue must be associated with the current mold project, binding the project identifier via chatId to prevent cross-project data confusion. At the same time, dialogue history for trial mold iterations is lengthy, so the number of retained messages must be limited to avoid context overload that affects analysis efficiency.

How to Configure the Settings

This configuration is based on FastGPT v4.17.0.

Configuration ItemSuggested SettingRationale
Context BindingBind chatId with the current mold project IDEnsure dialogue only associates with trial mold and mold modification data for the current project, avoiding cross-project confusion
Variable Extraction RuleExtract demolding angle, shrinkage rate, and number of trial molds as defined in variablesMatch standard professional fields for mold quality analysis, improving parameter extraction accuracy
Historical Message RetentionRetain the first 15 messagesAdapt to the dialogue length of a single project iteration, avoiding redundant content overload
Context Length Limit10000–15000 tokenCalibrated based on actual testing, adapting to the total text volume of mold documents
Voice Input ConfigurationEnable voice input function, associating with the audio field of messagesAdapt to on-site trial mold voice feedback collection, supplementing text input scenarios

Three Common Misconfigurations

  • Phenomenon: Extracted professional parameter fields are empty or extracted incorrectly. Cause: No dedicated extraction rule for variables defined for the mold industry, using general prompts cannot match business fields such as demolding angle and shrinkage rate.
  • Phenomenon: No text conversion result after voice dialogue. Cause: No configuration of the binding logic between the voice model and messages, or the automatic transcription switch for voice input is not enabled, causing voice content to fail to write to the dialogue context.
  • Phenomenon: Dialogue context mixes data from other mold projects. Cause: chatId is not bound to the current project ID, causing cross-project confusion when multi-turn dialogue calls historical data.

How to Confirm the Configuration Is Correct

  • Test dialogues can be initiated with specific parameters from trial mold reports input. Verify that variables correctly extract preset fields including demolding angle and shrinkage rate.
  • The chatId for different projects can be switched, and the trial mold report for the corresponding project uploaded. Verify that the dialogue context only displays historical content for the current project, with no cross-project data.
  • Voice input can be enabled, and on-site trial mold feedback content recorded. Verify that the content is automatically transcribed to text and added to the messages list.
  • Dialogue history can be viewed, confirming that the number of retained messages meets the preset 15-item limit, with no redundant historical messages.

The values provided are common starting points and should be validated using in-house test samples.