What data for this category looks like
Medical aesthetics investment research scenario data primarily comes from: medical aesthetics institution compliance filing public notices, official registration information for medical aesthetics procedures, operational standards released by industry associations, medical aesthetics consumable and medical device registration certificate documents, and clinical adverse reaction monitoring data.
There is no fixed unified update cycle for data. Compliance filing data updates based on regulatory approval progress. Industry technical documents are released on demand. Clinical adverse reaction data is dynamically supplemented based on actual clinical feedback.
Single documents typically include fields such as procedure name, filing number, applicable population, contraindicated population, consumable model, key operational steps, and compliance requirements. Some associated documents include clinical case summaries. Field units include string format for filing numbers, alphanumeric combination format for consumable models, and minute units for reference operational durations.
What constraints do these characteristics impose on the conversation logs and auditing link
The scattered nature of medical aesthetics investment research data and lack of fixed update cycles require conversation logs to associate version identifiers for multi-source data. The auditing link must verify the timeliness of referenced data to avoid compliance risks caused by using expired compliance filings or consumable registration information.
Documents include compliance-related fields such as filing numbers and compliance requirements. Conversation logs must fully record interaction details involving compliance content to meet regulatory audit traceability requirements.
Dynamic supplementation of clinical adverse reaction data requires conversation logs to retain interaction context for user inquiries about adverse reactions. Audits must match the latest current version of adverse reaction data.
Single documents include multi-dimensional fields. Conversation logs must accurately associate reference sources for corresponding fields to avoid unclear information traceability during audits.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 365 days | Medical aesthetics investment research scenarios involve compliance audits, requiring sufficiently long interaction log retention to meet regulatory traceability requirements |
TOKEN_STAT_DIMENSION | Application-level | Matches the requirement to count token consumption by application, facilitating cost accounting and auditing by scenario |
CALL_LOG_ENABLE | Enabled | Fully records the request and response chain for model calls, resolving traceability issues where logs exist in the model backend but fail to display in the conversation interface |
LOG_EXPORT_FIELDS | Session ID, interaction time, request tokens, response tokens, compliance field reference identifier | Covers core information required for audit traceability, cost accounting, and compliance content verification |
AUDIT_TRIGGER_RULE | Interactions containing compliance keywords, single-round interactions exceeding 800 characters | Focuses on high-risk interactions to reduce invalid audit workload, prioritizing compliance and long-text analysis scenarios for medical aesthetics investment research |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Issue: Unable to count token consumption by application, only global token data is displayed in the interface. Cause:
TOKEN_STAT_DIMENSIONis not configured asApplication-level. The default statistical dimension is global. - Issue: The model provider management page does not display the call log option. Cause: The
CALL_LOG_ENABLEconfiguration item is not enabled. The system has not enabled call log collection. - Issue: Historical logs for workflow conversations show as empty, unable to query interaction records from yesterday or today. Cause: No persistent storage directory was configured during Docker deployment. Log data is lost after container restart, or
LOG_SYNC_INTERVALis set too long, causing logs to not be synchronized to storage in a timely manner.
How to confirm configuration is complete
- Access the log configuration page in system settings, verify that the values of configuration items such as
LOG_RETENTION_DAYSandTOKEN_STAT_DIMENSIONmatch the preset values. - Initiate a medical aesthetics investment research interaction containing compliance keywords, check whether the conversation log fully records fields such as session ID, interaction time, and token consumption.
- Access the model provider management page, confirm that the call log option is displayed and that the model call chain for this interaction can be viewed.
- Check the persistent storage directory for Docker deployments, confirm that log files have been generated and stored according to the configured synchronization interval.
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.