What this category of data looks like
Data for this category originates from defect management systems, test reports, code commit records, and user feedback. Update frequency follows a daily or per-version release cycle. Daily processed documents include standardized defect tickets, regression test checklists, repair verification records, and defect statistical reports. Document fields include defect ID, reproduction steps, priority, version number, verification status, and additional relevant fields. The length of a single document fluctuates based on the number of defects and test scope. Core content centers on the full workflow of discovering, repairing, and verifying functional defects.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Data sources are scattered and connected to multiple business systems. Prompts must explicitly specify reading specific document types such as defect tickets and regression checklists to avoid confusion with other business data. Update frequency is relatively high, so a document synchronization mechanism matching the update rhythm must be configured to ensure the latest defect and test data is used during conversations. Document fields are standardized but numerous. Multi-turn dialogue must guide users to supplement key information step by step according to field logic, preventing omission of core content such as priority and reproduction steps. Single document length varies widely. The number of document blocks in the context window must be limited to avoid exceeding the context processing limit of the dialogue engine.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
| Document chunk length | 800–1200 characters | Adapt to the average length of single paragraphs in defect tickets and regression checklists, avoid splitting that breaks coherent content such as reproduction steps and verification records |
| Single recall limit | Top 3 entries | Match the association density of defect data, avoid excessive historical defect information interfering with priority judgment in current conversations |
| Context window size | Top 10 conversation turns | Cover the full communication cycle of single-version defect repair, prevent loss of key parameters such as defect ID and version number during multi-turn dialogue |
| Variable substitution rules | Bind defect ID and version number | Match the field structure of business documents, ensure prompts can automatically insert defect ticket information associated with the current conversation |
| Synchronization trigger timing | Trigger on version update | Match the daily update or per-version update frequency of data, ensure the latest regression test checklists and verification records are called |
Three Common Misconfigurations
- A conversation interface displays a prompt that no files have been uploaded, but business documents have been added to the system prompt. The root cause is that target documents such as defect tickets and regression checklists are not correctly bound to variables in the system prompt, causing the dialogue engine to fail to recognize the specified data source.
- Real-time switching of knowledge bases during multi-turn dialogue is not supported. The root cause is that knowledge base switching rules triggered by conversation stages are not configured. The default setup only loads the fixedly associated defect management system knowledge base, and cannot dynamically adapt to test data requirements in different stages.
- Modifying the new conversation pop-up window in the private deployment version has no effect. The root cause is that code files of non-target modules were incorrectly modified, and the front-end code path corresponding to the pop-up window was not found, causing the modification to take no effect.
How to Verify Successful Configuration
- Initiate a test conversation containing a known defect ID, check whether the reply automatically associates reproduction steps and priority information of the corresponding defect ticket.
- Simulate a multi-turn dialogue process, confirm that key parameters such as defect ID and version number from the top 10 conversation turns are retained in the context window.
- Trigger a version update operation, check whether the knowledge base synchronizes the latest regression test checklists and repair verification records.
- Input test dialogue containing prompts about unuploaded files, confirm that the system correctly recognizes the bound business documents and no longer returns prompts about unuploaded files.
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.