What This Category’s Data Looks Like
Auto service investment research data comes from multiple sources. These include automaker public financial reports, industry association monitoring data, dealer operation ledgers, new vehicle launch announcements, and after-sales maintenance work order data. Update frequency varies significantly by data type. Financial reports are updated quarterly. New vehicle announcements are released alongside launch dates. After-sales work order data is synced in real time. Document structure includes structured reports and unstructured analysis documents. Structured fields cover vehicle model, sales volume, service duration, and other items. Standardized units such as ten thousand vehicles and hours apply. Unstructured documents mostly include industry trend interpretations and regional market analyses.
What Constraints Do These Characteristics Impose on Conversation Logging and Auditing?
The multi-source heterogeneous nature and varied update cycles of auto service investment research data create multiple constraints for logging and auditing. Multi-source data includes structured reports and unstructured analysis content. Logs must support recording formats for both interaction scenarios to avoid storage redundancy. Conversations involving real-time synced after-sales work order data require immediate auditing. This ensures service recommendations match work order data. Quarterly updated financial report data allows weekly or monthly batch auditing. Investment research data includes multi-dimensional fields such as vehicle model, sales volume, and service duration. Auditing must link conversation content to the traceability identifiers of corresponding data. This ensures traceability of interaction content. Additionally, different user roles (such as dealer analysts, automaker researchers) have varying interaction permissions. Logs must record the correspondence between user identifiers and their operating scopes.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_STORAGE_RETENTION_DAYS | 365 days | The audit cycle for auto service investment research typically covers a full calendar year. 365 days meets the full-cycle traceability requirements for quarterly financial reports and annual research reports |
ENABLE_CUSTOM_USER_ID | Enabled | Auto service investment research scenarios require binding custom user identifiers (such as dealer IDs, analyst employee numbers) to accurately associate historical records with specified users |
MAX_LOG_QUERY_PER_REQUEST | 1000 entries | Conversation volume for auto service investment research fluctuates around research report release dates. A 1000-entry per query limit covers the needs of batch auditing scenarios |
EXPORT_LOG_FORMAT | CSV + JSON | Structured data fields (such as vehicle model, sales volume) can be quickly analyzed and counted via CSV. Unstructured interaction content can retain complete context via JSON |
LOG_RECORD_TIMEOUT | 600 seconds | Complex conversations in auto service investment research often involve multi-dimensional data linked queries. 600 seconds covers complete log recording for most scenarios |
DELETE_LOG_PERMISSION | Only administrators can perform operations | Auto service investment research data involves internal enterprise operation information. Deletion permissions for conversation records must be restricted to prevent data loss or tampering |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After passing a custom user UID via the API, queried historical records are not bound to the specified user. Cause: The
ENABLE_CUSTOM_USER_IDconfiguration is not enabled. The system uses built-in session identifiers by default and does not use custom user IDs. - Symptom: When recording inference time for multi-turn question-and-answer batches, no corresponding time data is captured in logs. Cause: The
LOG_RECORD_INFER_TIMEconfiguration item is not enabled. The system does not record inference time fields. - Symptom: Regular accounts can directly delete conversation log records without permission restrictions. Cause: The
DELETE_LOG_PERMISSIONconfiguration is not set to Only administrators can perform operations. The permission verification logic does not take effect.
How to Confirm Proper Configuration
- Call the conversation API with a custom user identifier to initiate interaction. Access the log management interface to query historical records associated with that identifier, and confirm the records are correctly linked.
- Initiate a conversation involving multi-dimensional data linked queries. Wait for the response to complete, then view the details of a single log entry, and confirm the inference time field has been recorded.
- Attempt to delete any conversation record using a non-administrator account. Confirm the operation is blocked by the system. Then use an administrator account to perform the same operation, and confirm the operation completes normally.
- Initiate a batch query request for conversation logs. Confirm the number of returned records matches the configured query limit.
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.