What the data for this category looks like
Core data for this category comes from defect management systems, test reports, code commit records, and user feedback. Daily produced documents include defect tickets, regression checklists, repair verification records, and defect statistical reports. Data update frequency is daily or per version iteration cycle. Data fields include defect ID, priority, reproduction steps, verification results, associated code commit ID, and more. There are no additional custom statistical units; data flows naturally according to business processes.
Constraints on conversation logs and auditing
Multiple data sources require conversation logs to associate identifiers from different business systems, ensuring that defect tickets, regression verification records, and conversation content can be cross-traced. The daily or version-based update rhythm requires the auditing process to support filtering logs by time range or version number. Full-process data covering defect reproduction, priority determination, and regression verification requires auditing to cover conversation details of all key links, avoiding missing high-risk operations. Severe error consequences require logs to have non-tamperable storage properties, and the retention period matches the lifecycle of defects and versions.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind to the session ID associated with the defect ticket | Establish a direct association between conversation logs and specific defect tickets, enabling backtracking of the complete communication process for defect handling |
responseChatItemId | Record the reply ID during the regression verification link | Bind each regression verification conversation result, forming a one-to-one correspondence with repair verification records |
detail | Enable full log storage | Cover conversation details of all links including defect reproduction and priority determination, meeting the complete record requirements for compliance auditing |
| Log retention period | 12 months | Match the coverage scope of version iterations and defect lifecycles, meeting compliance retention requirements |
| Audit filtering rules | Only include sessions related to high-priority defects | Focus auditing work on high-risk links, reducing the volume of invalid data processing |
Three common mistakes
- Phenomenon: After upgrading to FastGPT v4.17.0, defect-associated conversation logs cannot be pulled normally. Cause: The association field between
chatIdand defect tickets was not correctly bound, resulting in a disconnect between sessions and business data. - Phenomenon: After the loop body running index is incremented by 1, null is returned, and the corresponding conversation log does not record this step. Cause: Full log collection for the
detailparameter was not enabled, and execution details of the loop logic were ignored. - Phenomenon: When using historical memory, the call records of specified reply plugins are brought into the context, interfering with auditing analysis. Cause: Filtering rules were not configured to exclude plugin interaction logs, resulting in non-business conversation content being mixed into auditing data.
How to confirm correct configuration
- Randomly select an archived defect ticket, verify whether the corresponding conversation session can be directly accessed via the associated
chatId. - Trigger a regression verification process, check whether complete step and result data are recorded, and that
responseChatItemIdis associated. - View the audit panel, confirm that sessions related to high-priority defects are correctly marked and included in the audit scope.
- Simulate a plugin call operation, confirm that such records are not included in the business conversation audit dataset.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.