What this category of data looks like
This category of data originates from SIEM, EDR, firewall logs, and host images. It updates in real time or is generated per incident. Daily output documents include incident response reports, forensic records, disposal plans, and notification materials. Data fields include event unique identifier, session timestamp, AI response content ID, log details, and operator identifier. Most field formats are strings or ISO timestamps. The size of a single event log fluctuates based on the volume of collected raw logs.
What constraints these characteristics impose on the conversation logs and auditing workflow
Multi-source heterogeneous data sources require conversation logs to be associated with event IDs from original logs such as SIEM and EDR to enable link tracing of attack paths. Real-time update rhythm requires the auditing function to capture input, output, and operation records of conversation nodes in real time to avoid log loss during incident disposal. Formal forensics and notification documents require logs to have tamper-proof retention attributes to ensure complete evidence chains. The time-consuming link of attack path restoration requires logs to fully retain the context association identifier of each round of conversation to support subsequent post-incident review and report generation.
How to Configure Settings
These configurations are based on FastGPT v4.17.0, adapted to the business requirements of security incident response:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Conversation log storage toggle | Enabled | Full retention of full-link conversation records for security incident disposal to support forensics and post-incident review |
chatId association rule | Bind to security event unique identifier | Establish direct association between conversation context and corresponding security events to enable quick tracing of attack paths |
responseChatItemId recording scope | Record full rounds of AI responses | Retain unique identifiers for each round of conversation responses to restore complete attack disposal links |
| Log retention period | 180 days | Match conventional retention requirements for forensic documents |
detail field collection scope | Include original request and response content | Fully record input and output details of conversations to organize evidence chains |
| Log export format | JSON format | Adapt to structured import requirements for incident response reports and forensic records |
Three Common Configuration Errors
- Issue: After enabling the log storage toggle, some abnormal error messages are not recorded in logs. Cause: The abnormal content collection configuration for the
detailfield is not enabled, and only text content from normal conversation flows is recorded. - Issue: When calling the "Get Conversation Record List" API, the number of returned results does not match the preset pagination quantity. Cause: The offset parameter value is not set correctly, leading to deviations in pagination logic.
- Issue: Unable to associate conversation logs with corresponding security events. Cause: The
chatIdis not bound to the unique identifier of the security event, leading to a disconnect between conversation context and event tracing.
How to Confirm Successful Configuration
Initiate a simulated security event conversation flow manually. Verify whether the backend generates complete log entries containing the chatId, responseChatItemId, and detail fields. Export a single conversation log file, confirm that the format is JSON and includes all content of the original user request and AI response. View the log retention period configuration item, confirm that the storage duration meets the preset forensic retention requirements. Call the "Get Conversation Record List" API, adjust the offset parameter value, and verify that the pagination logic of returned results works correctly.
The values provided here 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.