What this category’s data looks like
Core data for this category comes from assessment tool outputs, on-site interview records, asset system inventories, and security device operation logs. Four core documents are routinely produced: classification rating reports, gap analysis reports, rectification plans, and assessment reports. Data updates follow individual assessment project cycles, with on-demand synchronization during a single project cycle. There is no fixed batch update schedule outside annual cycles. The document structure uses cybersecurity classified protection standard control items as its core framework, including fixed fields such as control item number, current status description, rectification requirements, and supporting material list.
What constraints these characteristics impose on the citation sources and traceability workflow
Core documents are structured around classified protection control items, with each control item linked to multiple supporting materials. Citations must accurately pair control items with their supporting sources to avoid cross-item confusion. Data is updated per project, so citation traceability must be tied to project identifiers to prevent mixing data across projects. The volume of documents for a single project grows with system scale, so the number of documents recalled in a single query must be limited to avoid context overload. Data formats vary widely across different sources, so the field format for traceability displays must be unified to ensure compliance materials can be traced.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Matches the average length of a single compliance document, avoids context overflow, and aligns with the parameter logic of FastGPT v4.17.0 |
| Single recall limit | Top 5–15 entries | Aligns with the document scale of a single project, prevents token limit exceedance from recalling too many materials |
detail | Enable full supporting material fields | Displays the original content of rectification evidence to support verification during the assessment process |
responseData | Include source document path and control item number | Meets traceability display requirements for compliance reviews, facilitating regulatory verification |
| Context window | 4000–6000 token | Adapts to total document volume across projects of different scales, balancing recall accuracy and efficiency |
Three Common Configuration Errors
- Phenomenon: The generated response does not display any source of cited documents, with corresponding fields left blank. Cause: The source field binding for the
responseDataconfiguration is not enabled, or documents and control item identifiers are not correctly associated. - Phenomenon: The token count for a single round of responses far exceeds the set limit, resulting in truncation or error prompts. Cause:
quoteMaxTokenis set to an excessively high value, which does not match the actual length of documents for a single project, leading to context overload. - Phenomenon: The number of recalled cited documents far exceeds expectations, and the number of displayed entries cannot be controlled. Cause: The single recall limit is not set, or the limit value does not align with the document scale of a single project, resulting in the recall of redundant materials.
How to Verify Successful Configuration
- Generate a query targeting a cybersecurity classified protection control item, verify that the corresponding document source and control item number are displayed at the end of the response.
- Adjust the
quoteMaxTokenparameter, observe whether the token consumption of the response meets expected standards, with no obvious overflow or truncation. - Test project documents of different scales to confirm whether the number of recalled documents matches preset limit requirements.
- Cross-check displayed cited content against control item fields in the original document to ensure traceability information is accurate.
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.