What the data for this category looks like
The data for this category primarily comes from WAF, IDS, firewalls, and threat intelligence platforms. Updates occur daily or when a protection event is triggered. Daily generated documents include rule change tickets, intercept logs, false positive analysis reports, and policy rollback records. Data fields include rule identifiers, interception time, source IP addresses, false positive trigger conditions, policy version numbers, and additional relevant fields. Common units are "entries" (for counting log entries) and "times" (for counting interception events). Version numbers and rule identifiers have no units.
Constraints on Citation Sources and Traceability Workflows
Since data is updated in real time with protection events or refreshed daily, citations must ensure traceability information matches the latest policy version and event time. This prevents traceability information from becoming invalid due to version mismatches. Single entries of intercept logs and false positive analysis data have small size but high volume. Limit the number of entries cited in a single request to avoid context overflow, which reduces AI response accuracy. Rule change tickets and rollback records must be associated with specific rule IDs and timestamps. This ensures precise localization of the corresponding policy adjustment steps during traceability. Additionally, field formats vary across different data sources. Unified mapping is required before these sources can be used as trusted citation materials.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 10000–30000 token | This category has small per-log data size. This range covers the total token count of 100–500 log entries, balancing context length and traceability coverage |
responseData | Only return rule ID, interception time, false positive rate fields | Matches core fields of daily documents, avoiding irrelevant information interfering with compliance review traceability accuracy |
detail | Full original logs | Meets full traceability requirements during compliance reviews, ensuring complete event details can be traced |
| Data synchronization cycle | Synchronize once every 24 hours | Matches the daily update rhythm of data sources, ensuring cited content aligns with the latest policy version |
| Source verification rule | Bind policy version number | Ensures traceability can be associated with specific rule change records, meeting security and compliance traceability requirements |
This configuration applies to FastGPT v4.17.0.
Three Common Misconfigurations
- When setting the citation limit, only fixed options of 100 or 900 are available, and custom values around 300 cannot be configured. This is because the platform's current citation limit configuration does not support custom settings for intermediate ranges, only preset selectable options.
- An error prompt appears when attempting to cite HTTP response content. This is because the access permissions or response format verification for the data source were not configured correctly, preventing normal retrieval and parsing of content.
- After setting the minimum relevance score to 1, a large number of citation entries unrelated to security rules are still output. This is because category-specific field matching rules were not configured, resulting in non-protection-related document fragments not being filtered during retrieval.
How to Verify Successful Configuration
- View the citation source list in AI responses to confirm that the number of cited entries falls within the range corresponding to the configured
quoteMaxTokenvalue. - Check that each cited entry’s fields include core identifiers such as rule ID and interception time, to ensure traceability information is accurate.
- Verify that the update time of cited data aligns with the configured synchronization cycle, to ensure content uses the latest version.
- Simulate a rule change scenario to confirm that cited policy rollback records can be associated with the corresponding rule ID and timestamp.
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.