What the Data for This Category Looks Like
Core data for this category comes from employee directories, email gateways, internal training platforms, and user click statistics systems. Daily produced documents include standardized training courseware, quarterly simulation plans, phishing email template libraries, and post-simulation review reports. The data update cycle is usually quarterly or annually. A single record includes fields such as simulation batch number, participant ID, email sending records, click feedback, and rectification records. There is no fixed unified unit, and values vary based on document type and batch dimension.
What Constraints This Category's Characteristics Impose on Conversation Logs and Auditing
The scattered, diverse data sources require conversation log auditing to support cross-system association of multi-source data like employee directories and email gateways. This ensures full traceability of the entire simulation workflow. Since data updates happen quarterly or annually, audit logs must support batch-based archiving to prevent data loss for individual batches. Audit requirements differ across document types. Interaction logs for phishing email templates need to track click behavior-related fields. Conversation logs for training courseware must retain prompt calling order and parameters. As errors directly tie to employee data leaks and audit compliance, the audit link must fully capture key identifiers and details of every conversation. This avoids missing critical fields.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId log tracking | Bind to simulation batch ID | Link conversation logs to specific simulation batches, enabling batch-based audit work |
responseChatItemId storage | Enable full-link recording | Capture unique identifiers for each model response, ensuring full traceability of the interaction workflow |
detail field collection | Include user input, prompt content, and click statistics | Cover core audit requirements for this category, associating employee interactions and behavior data |
| Log retention period | 365 days | Align with annual audit routine requirements for this category, ensuring traceability of historical simulation data |
| Archiving trigger condition | Trigger 24 hours after simulation batch completion | Match the business rhythm of organizing training and simulations in batches, preventing accumulation of scattered logs |
| Abnormal log alerting | Validate trigger frequency hourly | Detect abnormal activity in phishing email template testing and conversation calls in a timely manner |
Three Common Configuration Errors
- Symptom: Workflow conversations show a failure, but model backend contains response logs. Cause: The
detailfield exception capture configuration is not enabled, so model response details are not synchronized to workflow interaction logs. - Symptom: Conversation logs for a specified time range are empty. Cause:
chatIdis not bound to the simulation batch ID, and no batch filtering is applied during retrieval. This causes logs to fail to match query conditions. - Symptom: No audit logs are generated for application conversation exceptions. Cause: Automatic archiving triggers for abnormal logs are not configured, so error information is not written to the audit log database.
How to Verify Correct Configuration
- Launch a simulated phishing email conversation test, and check if the log includes complete information for the
chatId,responseChatItemId, anddetailfields. - Filter logs by simulation batch, and confirm that all conversation interaction records for the corresponding batch can be retrieved.
- Trigger an abnormal conversation call, and check if a corresponding abnormal log entry is generated.
- Confirm that FastGPT v4.17.0 audit log permissions are configured to only allow team access.
The values provided here are common starting points and should be evaluated against your 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.