Multi-Turn Conversation and Prompts for Undergraduate Program Establishment and Adjustment: Handle Multilingual Materials and Terminology

Undergraduate Programs: review conversation for multilingual work. Check source versions, input mappings and the values received by downstream nodes.

What this category's data looks like

This page addresses the scenario of undergraduate program setup and dynamic adjustment. The source materials are program setup application forms, talent cultivation plans, and expert review opinions, and the update cadence advances with application batches and on-campus review milestones. When the three types of materials enter the multilingual materials and terminology processing function, they play different roles: the application form provides fields such as program name, code, and degree-granting category; the talent cultivation plan provides the curriculum system and credit structure; and the expert review opinions provide conclusive statements and signature pages. Field characteristics are concentrated in four categories: names, quantities, dates, and signatures. Dates include application date, review date, and effective date; signatures include expert signatures and department seals. Multilingual materials need to compare the above fields item by item to form a unified terminology glossary and comparison draft for subsequent external release.

Configuration and implementation checks

This step is executed by the memory turns and prompt configuration in the application settings, which output the referenced historical message range and answer constraints. The unified terminology glossary and comparison draft are then completed by the model, while the external entry point and authorization are handled by the publishing service and file permissions.

ObjectCheckVerification action
Program setup application formName, quantity, and date fields must be aligned item by item with the talent cultivation plan, and the signature section must be completeCheck the memory turns value in the application settings, run a trial with two consecutive questions, and compare the same terminology wording in chatId and messages
Talent cultivation planCourse names, credit quantities, and effective dates must be traceable back to the original text of the application formExtract three terms and check their wording throughout the document, and verify whether the names and dates recorded in variables are consistent
Expert review opinionsReview conclusions, expert signatures, and receipt dates must be synchronized with the application form and planCompare the usage records of two runs, and check whether the quantities and dates in the review opinions are consistent with the other two materials
Unified terminology glossary and comparison draftThe same term is consistent throughout, and the translated name can be traced back to the original textRun a trial with two consecutive follow-up questions, and see whether the second question inherits the reference from the first question

Three common errors

  • Symptom: The name, quantity, and date of the same record do not match between the application form and the talent cultivation plan. Cause: The two materials are maintained separately, without item-by-item field comparison.
  • Symptom: The version of the expert review opinions is not synchronized, and the conclusion is inconsistent with the latest plan. Cause: After revision, the review materials were not written back, and version records are missing.
  • Symptom: Signatures or receipts are missing, and this is discovered only before external release. Cause: The signature page was not checked during material circulation, and receipts were not archived.

How to verify the setup

This function's acceptance: ask two consecutive follow-up questions and see whether the second question inherits the reference from the first question; check whether the historical message range and answer constraints in chatId, messages, and variables match.

Business test: extract three terms and check whether their wording is consistent throughout the document, and verify whether the translated names can be traced back to the original text.

  • Check the current memory turns value in the application settings, and match it with the preceding context range required by the question.
  • Compare the usage records of two runs to confirm the consumption change after adjusting the turns.