What the data for this category looks like
Data for this category originates from defect management systems, test reports, code commit records, and user feedback. Daily produced documents include defect tickets, regression test checklists, repair verification records, and defect statistical reports. Fields include defect identifiers, priority levels, reproduction steps, associated versions, test case numbers, and additional relevant details. Data is updated daily or synchronized during each version release cycle. Core fields across all document types follow the defect lifecycle, covering the full process from defect reporting to verification and closure.
Constraints on Citation and Traceability
The multi-source, multi-document structure and high-frequency update characteristics of this category’s data create multiple constraints for citation and traceability. Field differences across document types require traceability rules to adapt to exclusive fields such as defect identifiers and version numbers, to avoid associating irrelevant test data. The high-frequency update rhythm requires knowledge base synchronization to match daily updates or version cycles, ensuring cited content remains current. Field attributes of defect priority and associated versions require precise binding of test records for the corresponding version during traceability. This prevents citing expired or mismatched defect information and avoids issues like high-priority defect omissions.
Configuration Settings
The following configuration instructions are based on FastGPT v4.17.0, adapted to the citation traceability requirements of defect management and regression testing scenarios.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Matches the average length of single documents such as defect tickets and regression checklists, avoiding truncation of key content like defect IDs and reproduction steps |
responseData | Enable structured output | Adapts to the interface data format of defect management systems, ensuring cited content includes structured defect fields |
detail | Enable recall details | Covers supplementary information from non-core texts such as repair verification records and test reports, improving the completeness of traceability |
| Single recall limit | Top 3 entries | Matches the scale of defect-related context for a single round of Q&A, avoiding redundant information interfering with core conclusions |
| Knowledge base synchronization frequency | Triggered daily/per version | Matches the update rhythm of this category's data, ensuring cited content remains current |
Three Common Misconfigurations
- Phenomenon: Content returned after configuring citation does not associate with defect-related data. Cause: Structured output mode for
responseDatais not enabled, resulting in interface request data not being correctly parsed into citable content. - Phenomenon: Q&A results show citation identifiers but do not hit professional knowledge base content. Cause: Knowledge base synchronization frequency is set too long, failing to synchronize the latest defect repair records or regression test results in a timely manner.
- Phenomenon: Only text datasets are cited, other dataset types do not take effect. Cause: The
detailrecall switch is not configured for interface data from defect management systems, resulting in non-text format test reports and code commit records not being included in the recall scope.
How to Verify Successful Configuration
- Initiate a Q&A targeting a specific defect ID, check whether the returned result includes fields such as reproduction steps and associated versions of the corresponding defect.
- View the knowledge base synchronization logs, confirm that daily or per-version synchronization tasks have been executed normally.
- Test calling the API by passing defect-related context, check whether the returned result associates with the correct citation source.
- Adjust the
quoteMaxTokenparameter, verify that the returned cited content does not show truncation.
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.