What this category's data looks like
This page focuses on the enterprise compliance and safety training scenario, involving three types of materials: compliance training courseware, safety operating procedures, and exam records. Courseware is revised according to policy update milestones, and includes chapter numbers, effective dates, and release signatures; procedures are issued by position, and include operating steps, risk points, version numbers, and acknowledgment fields; exam records are archived by batch, and include personnel names, employee IDs, scores, dates, and review signatures. When the materials enter this feature, the courseware and procedures provide the basis for judgment, and the exam records provide the original evidence; together, the three support the generation of the exception list and review conclusions. Field characteristics center on names, quantities, dates, version numbers, signatures, and acknowledgments. If any field differs between two materials, exception tracing is triggered.
Configuration and implementation checks
This part is executed by the memory turns and prompt configuration in the app settings, and outputs the referenced historical message range and answer constraints. Memory turns control how many previous turns of dialogue can be referenced at most when answering. If the value is too small, the preceding context cannot be used; if the value is too large, irrelevant content is brought in and consumption increases. The exception list and review conclusions are then completed by the model, while the external entry point and authorization are handled by the publishing service and file permissions.
| Object | Check | Verification action |
|---|---|---|
| Compliance training courseware | The name, date, and signature fields must be consistent with the exam records, and the version number must be the currently effective version | In the app settings, check the memory turns value, run a trial with two consecutive questions, check whether the second turn can carry forward the reference from the first turn, and check the historical message range in messages |
| Safety operating procedures | The quantity, version number, and acknowledgment field must match the courseware and exam records; a missing signature or acknowledgment is regarded as an exception | Compare the usage records of two runs to confirm the consumption change after adjusting the turns, and check whether the session corresponding to chatId brings in irrelevant preceding context |
| Exam records | Personnel names, employee IDs, scores, dates, and review signatures must be supported by original records and compared item by item with the courseware and procedures | Use variables to mark the exception record number, create an exception record, and see whether it can be traced back to the source materials and generate a review conclusion |
Three common errors
- Symptom: The name, quantity, and date of the same record do not match between the courseware and the exam records. Cause: The two materials are maintained separately and archived without item-by-item comparison.
- Symptom: The procedure version is not synchronized, and old-version steps are still in circulation. Cause: Update milestones are not aligned, and the version number and effective date are not verified.
- Symptom: The review conclusion lacks a signature or acknowledgment, and the exception list has no original record support. Cause: The signature field and acknowledgment field are not included in the verification actions.
How to verify the setup
Feature acceptance: Ask two consecutive follow-up questions, see whether the second question carries forward the reference from the first question, and check whether the referenced historical message range in messages matches the answer constraints.
Business test: Create an exception record, see whether it can be traced back to the source materials, and confirm that the exception list and review conclusion are supported by original records and the reviewer's signature.
- In the app settings, check the current memory turns value, match it with the preceding context range required by the question, and run a trial with two consecutive questions.
- Compare the usage records of two runs, confirm the consumption change after adjusting the turns, and check whether the opening message is treated as preceding context.