What the Data for This Category Looks Like
Aesthetic medicine revenue and market trend data is primarily sourced from third-party aesthetic medicine industry monitoring databases and monthly revenue ledgers of partner aesthetic medicine institutions, adapted for daily report broadcasting needs. Data is updated daily at midnight, with full industry and institutional data for the previous day released. Each data entry includes the following fields: aesthetic medicine project name, statistical date, project pricing, industry average revenue rate, institutional per-project revenue rate, and institution ID. Revenue rate uses percentage units, pricing uses Chinese Yuan (CNY) units, and statistical dates follow the YYYY-MM-DD format.
Constraints for Conversation Logs and Auditing
Daily updated data requirements mandate that conversation logs be archived and stored by natural day to avoid mixing cross-day data. The multi-field structure requires that core fields including industry average revenue rate and institutional revenue rate be fully retained in logs; long text content must not be truncated by default. The institution ID field requires log retrieval to support filtering by institution dimension, to ensure accurate location of individual institutional conversation data during audits. Sensitive revenue-related fields require that encryption be enabled for log storage to prevent data leaks. Additionally, the daily report broadcasting conversation scenario requires complete contextual association to be retained, to avoid splitting the business workflow chain into individual logs.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
logRetentionDays | 90 days | Audit compliance in financial and wealth management scenarios typically requires retaining at least 3 months of conversation records |
logFullContent | Enabled | Sensitive business fields including revenue rate and pricing must be fully retained to avoid information loss |
filterByCustomUid | Enabled | Supports filtering conversation logs by institution ID (referred to as customUid here) to meet precise retrieval requirements |
downloadLogMaxSize | 500 MB | The log data volume for a single institution per day typically does not exceed this threshold, ensuring download efficiency |
logAuditEnable | Enabled | Revenue-related data requires audit tracking to record log viewing and modification operations |
historyRetrievalTimeout | 300 seconds | Sufficient timeout duration must be reserved when processing bulk historical log data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on samples belonging to the deployment before finalizing settings.
Three Common Misconfigurations
- Scenario: Calling the
/v1/chat/completionsendpoint with a specifiedcustomUidparameter, then calling the/v1/historyendpoint returns all conversation records. Cause: ThecustomUidfilter parameter was not included in the request parameters for the history retrieval endpoint. - Scenario: After a workflow node executes a daily report broadcasting task, contextual data for that session is not retained in conversation history. Cause: The
logFullContentparameter was not enabled in workflow configuration, resulting in context not being written to logs. - Scenario: Attempting to delete conversation logs results in a system prompt of operation failure, or logs remaining retrievable. Cause: For the open-source version v4.8.21, the automatic log cleanup mechanism is enabled by default, and manual deletion permissions are not configured, preventing deletion operations.
How to Verify Proper Configuration
- Call the
/v1/historyendpoint with a testcustomUidparameter, confirm that returned results only include conversation records for the specified customUid. - View the details of a single conversation log, confirm that all required fields including project name, revenue rate, and pricing are fully included with no truncation.
- Check the log storage module or backend management interface, confirm that logs are archived by natural day and that sensitive fields have encryption enabled.
- Attempt to modify or delete a test log, confirm that the system generates a corresponding audit record and that the operation complies with permission configurations.
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.