What the Data for This Category Looks Like
Insurance companies publish official settlement announcements. Regulators maintain product information databases. Compliant financial data interfaces provide additional data. These three sources supply insurance yield rate and market data. Data updates follow product disclosure cycles, typically monthly, quarterly, or annual. Each data entry contains fields including product unique code, product category, disclosure cycle, corresponding revenue indicator, effective start date, and others. Revenue indicators use percentage formatting. Date fields use standard date formatting. Product codes use string formatting.
Constraints on Conversation Logging and Auditing
The multi-source nature, cyclical updates, and compliance requirements of insurance yield rate and market data create multiple constraints for the conversation logging and auditing process. First, multi-source data requires complete traceability information to be recorded in logs, including data interface addresses and disclosure times. This supports compliance verification during audits. Second, cyclical update rhythms require logs to mark the effective cycle of each returned data entry. This prevents use of expired data during audits. Third, insurance data involves regulatory compliance. Logs must retain records for a sufficient duration, and include fields such as product category and user query conditions. This meets audit traceability requirements. Finally, field differences across products require standardized log structures. This enables quick retrieval of relevant records when conducting audits by product dimension.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 180 days | Meets common retention period requirements for insurance industry compliance audits |
AUDIT_LOG_ENABLE | Enabled | Insurance scenarios require complete recording of conversation and data traceability information to meet regulatory audit needs |
DATA_SOURCE_VERIFY_INTERVAL | 24 hours | Adapts to the monthly/quarterly update rhythm of most insurance data, enabling regular verification of data source compliance |
CONVERSATION_DATA_STORAGE_PATH | /var/lib/fastgpt/audit_data | Standard read-write data directory for Linux systems, avoiding automatic cleanup issues from Docker temporary directories |
MAX_LOG_ENTRY_SIZE | 2048 characters | Adapts to the maximum field length limit of insurance product data, preventing overflow of single log entries |
USER_UID_CUSTOM_ENABLE | Enabled | Supports retaining conversation history using business-defined user IDs, matching the customer attribution audit needs of insurance scenarios |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data form, data volume, and business rules. Specific issues require individual analysis. Testing on own samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Symptom: The interface returns an error stating "No permission to operate this conversation record". The log records a permission verification failure. Cause: The
USER_UID_CUSTOM_ENABLEconfiguration is not enabled. The custom user ID is not recognized by the system, so it cannot match the ownership permissions of conversation history. - Symptom: Disk space continues to be occupied after Docker deployment, and log files cannot be automatically cleaned up. Cause: The conversation log storage path is set to the Docker default temporary directory, and the
LOG_RETENTION_DAYSparameter is not configured. This prevents logs from being cleaned up on a scheduled basis. - Symptom: Reference information is forcibly appended to the end of knowledge base responses, and cannot be hidden. Cause: The reference display configuration item for knowledge base responses is not disabled, or a parameter for forced binding of references is configured. This does not meet the concise broadcast requirements of insurance scenarios.
How to Confirm Proper Configuration
- Execute the system configuration view command. Confirm that the value of
LOG_RETENTION_DAYSmeets compliance requirements. Check that the automatic cleanup script for the log directory triggers normally. - Initiate a conversation request with a custom user ID. View the conversation log list. Confirm that the ID is correctly recorded, and no errors occur during the permission verification step.
- Enter the knowledge base configuration page. Confirm that the reference display switch is disabled. Initiate a product yield rate query. Check that no forcibly appended reference information appears at the end of the response.
- Export a complete conversation audit log. Confirm that required fields including product code, data source, request time, and user ID are included. This meets audit traceability requirements.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.