What the data for this category looks like
Data for software development intelligent due diligence reports comes primarily from project code repository commit records, requirement specifications, test execution reports, production operation and maintenance logs, code review records, and security scan reports. Data updates follow the project iteration rhythm, and are updated immediately after a single change is committed. The document structure includes fields such as project unique identifier, code commit hash, change module name, number of added and deleted code lines, total number of test cases executed, number of passed test cases, and dependent component version numbers. The units for these fields are, respectively, none, string, module name, line, count, count, and version number.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The data for software development intelligent due diligence reports includes multi-dimensional fields such as hash identifiers, code line counts, and dependency versions, with fast update cycles. Multi-turn dialogue must ensure that each interaction can associate with the latest change records of the current project. Change data structures vary across different modules, so prompts must explicitly specify the queried module scope and field types to avoid returning irrelevant content. The real-time update feature requires dialogue contexts to filter expired data, while supporting traceback of historical due diligence content by commit time to prevent calling invalid old data during dialogue. In addition, code-related data has strong professional specificity, so prompts must limit output formats to structured entries to facilitate subsequent organization into standardized due diligence reports and meet general industry delivery requirements.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Accommodates cumulative project change records and field query content in multi-turn dialogues, avoiding information loss caused by context truncation |
recallTopK | Top 8–12 entries | Covers major change modules and dependent component information of software development projects, balancing recall accuracy and content volume |
similarityThreshold | 0.75 | Filters code change records with low relevance to the query topic, reducing interference from invalid content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to the parsing duration of large code repositories and dependency list files, preventing parsing failures due to timeout |
systemPromptTemplate | Fixed extraction of structured entries including project ID, commit hash, and change line count; only return due diligence content related to the specified module | Clarifies the output format and scope of prompts, ensuring returned content meets the structured requirements of software development due diligence |
enableContextRecall | Enabled | Associates historical project identifiers and query conditions in multi-turn dialogues, avoiding repeated input of the same project information |
The parameter values provided on this page are general recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After refreshing the dialogue page, the dialogue history is empty, and only the new dialogue entry is displayed. Cause: After upgrading to version 4.9.0, context storage configuration items are not updated synchronously, resulting in a change to the cache path for dialogue records, and old data is not automatically migrated.
- Phenomenon: When calling the knowledge base bound to the system prompt, an error "file not uploaded" is returned. Cause: The knowledge base file referenced in the system prompt is not correctly associated with the current dialogue context, or the
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is too small during file parsing, causing parsing to not complete. - Phenomenon: Real-time switching of knowledge bases for different projects is not possible during multi-turn dialogue. Cause: The project identifier logic associated with the context is not configured, causing the dialogue context to fail to recognize the currently switched project identifier and unable to load due diligence data for the corresponding knowledge base.
How to confirm correct configuration
- Initiate a query that includes the project ID and change module, and check whether the returned content includes the specified fields and does not include irrelevant information.
- After upgrading the version, manually trigger a dialogue history loading operation, and confirm whether old dialogue records are displayed normally.
- After uploading a large code file, wait for parsing to complete, and confirm that no timeout error appears in the parsing progress.
- Switch the knowledge base identifiers of different projects, and check whether the dialogue context automatically associates the due diligence data of the corresponding project.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.