What this category of data looks like
Data sources for this category include cloud audit logs, IAM permission systems, CMDB resource inventory databases, and security baseline scanning tools. Daily produced documents include compliance checklists, permission audit reports, resource configuration lists, and rectification tracking forms. The dataset is updated monthly or quarterly. Each individual document contains fields such as resource unique identifiers, permission configuration items, scan timestamps, and compliance verification results. All data focuses on the permission and configuration compliance of cloud resources.
What constraints these characteristics impose on the "citation sources and traceability" link
Scattered data sources and slow update cycles require citation traceability to accurately match data sources and document versions. Fields in compliance documents are fixed. Traceability information must be bound to core fields such as resource unique identifiers and scan timestamps to avoid traceability mismatches. Data errors will directly lead to audit failures. The traceability link must retain complete call links and data source tags, and key verification steps cannot be omitted. Omitting these steps will reduce the effectiveness of compliance audits.
How to configure the settings
This configuration applies to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 600–1000 token | Matches the average content length of compliance documents, ensuring cited content is complete and does not exceed context limits |
responseData | Enable full return | Retains original identifiers of data sources, such as cloud audit log IDs and CMDB resource numbers, for precise traceability |
detail | Enable detailed mode | Outputs specific timestamps of resource scans and permission configuration items, aligning with the monthly/quarterly update rhythm of documents |
| Single retrieval limit | Top 2–5 entries | Matches the resource quantity scope for a single compliance audit, avoiding returning excessive irrelevant data |
| Timeout threshold | 30–60 seconds | Matches the average response time of cloud data sources, preventing loss of traceability data due to wait timeouts |
Three common configuration errors
- Symptom: After the tool call module connects to the knowledge base, the output content has no citation markers. Cause: The
responseDataconfiguration is not enabled, and metadata information of data sources is not retained, resulting in inability to generate citation traceability content. - Symptom: Unclosed citation symbols appear in AI chat outputs, which are automatically corrected to normal quotation marks afterward. Cause: The
quoteMaxTokensetting is too small, truncating the complete content of citation markers and causing format abnormalities. - Symptom: When querying non-existent content in the knowledge base, cloud resource compliance-related citation markers are still returned, or the chat interface does not return citation IDs. Cause: Retrieval matching degree is not verified, or the
detailmode is not enabled, resulting in direct return of old data or failure to generate traceability fields.
How to confirm the configuration is properly set up
- Initiate a query that includes a specific cloud resource ID, check whether the output content includes the scan time and data source identifier of the corresponding resource.
- View the detailed logs of tool calls, confirm that the returned content includes the original metadata of the
responseDatafield. - Adjust the value range of
quoteMaxToken, verify that citation markers in the output are not truncated. - Simulate a query scenario where content does not exist in the knowledge base, confirm that no invalid citation content is returned.
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.