What the Data for This Category Looks Like
This category’s data sources include real-time equipment operating condition data, periodic maintenance ledgers, supplier technical manuals, and industry compliance standard documents. Real-time operating condition data is updated at high frequency. Maintenance ledgers and industry standard documents are updated weekly or monthly. Document structures include structured parameter fields such as device ID, run timestamp, temperature, pressure, and operating duration, with corresponding units of degrees Celsius, pascals, and hours. They also include unstructured text such as fault troubleshooting reports and operation and maintenance logs. Single document length ranges from hundreds to tens of thousands of characters.
What Constraints These Characteristics Impose on Conversation Logs and Auditing
Real-time high-frequency operating data requires conversation logs to be indexed by device ID and timestamp. This allows quick location of investment research interaction records for a specific device. Mixed structured and unstructured document formats require audit logs to record both natural language interaction content and called structured parameters. This prevents missing key information during audit traceability. Multi-source high-frequency updated data requires log retention policies to balance compliance requirements and storage costs. This prevents log overload from high-frequency write operations. Specialized equipment parameters carry clear units. Audit logs must fully retain unit fields to avoid investment research decision deviations caused by unit ambiguity.
How to Set the Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
logRetentionDays | 90–180 days | Specialized equipment investment research data must comply with industry audit retention requirements, and high-frequency interaction data should not occupy storage for long periods |
auditLogIncludeVars | ["deviceId", "runTimestamp", "workloadParam"] | Specialized equipment investment research interactions must be bound to device identifiers and operating condition parameters, to ensure audits can be traced to specific devices and time points |
maxContext | 800–1200 characters | Specialized equipment investment research conversations often contain long parameter lists and technical terms, requiring sufficient context to be retained while avoiding redundant logs |
userSessionPartitionKey | deviceId + userRole | When multiple users connect to the business system, session logs must be split by device and role to avoid confusion between device interaction records of different users |
PARSE_AUDIT_LOG_TIMEOUT | 300 seconds | Specialized equipment data documents vary widely in length, and sufficient time must be reserved for audit log parsing to avoid lost records due to timeouts |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: When calling APIs for integration, chat records of different business users are not correctly distinguished, and cross-user device interaction records appear in audit logs. Cause: The
userSessionPartitionKeyparameter is not correctly configured, and session partitions are not split by device and user role. - Phenomenon: Conversation logs include execution logs of specified reply plugins, leading to redundant audit content that interferes with investment research analysis. Cause: Temporary variables from internal plugin execution are not excluded from
auditLogIncludeVars, and plugin call records unrelated to investment research interactions are not filtered. - Phenomenon: After upgrading to version 4.9.0, when importing specialized equipment technical documents via URL, the backend prompts the
cannot fetch internal urlerror. Cause: TheinternalApiTimeoutparameter value is not adjusted, or access permissions for internal URLs are not configured, resulting in document fetch timeout.
How to Confirm the Configuration Is Correct
- Initiate an investment research conversation carrying a device ID and operating condition parameters. Check the audit log panel to confirm that preset fields such as
deviceIdandrunTimestampare included in the logs. - Use API keys from two different business users to initiate investment research conversations for the same device. Verify that audit logs are split according to the
userSessionPartitionKeyconfiguration, with no cross-user session records. - Import a long specialized equipment technical document. Check whether the complete document parsing process is recorded in the logs, with no timeout or truncation prompts.
- Check the log retention management panel. Confirm that old logs exceeding
logRetentionDayshave been automatically archived or deleted according to the configuration.
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.