What this type of data looks like
Yield rate and market daily report data for professional service scenarios is sourced from compliant third-party financial market data source APIs. Full updates run once at a fixed time period after each trading day closes; no updates occur on non-trading days. The data documents use a structured format, including fields such as service unique identifier, service name, benchmark yield value, peer reference value, data update timestamp, data source code, and more. All fields use standardized numeric or string types, with no custom unstructured content.
What constraints these characteristics impose on the conversation logs and auditing workflow
The fixed daily update schedule for data requires that conversation logs record the data source update time corresponding to each request, to avoid generating broadcast content using expired data. The structured field requirement mandates that the auditing process enforce checks for the completeness of core fields, preventing audit failure caused by missing key information. The multi-service identifier field design requires logs to associate the requested service ID and client identifier, enabling layered backtracking of request records for different businesses. The data source code field requirement mandates retaining the data source identifier in logs, to support compliance audits verifying the legitimacy of data sources.
How to Configure Settings
For the open-source version 4.8.17 and above, the following configuration parameters can be adjusted directly in the system settings module.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
logRetentionDays | 90 days | Meets compliance audit retention requirements for professional service scenarios, covering standard audit cycles |
auditFieldWhitelist | ["serviceId", "reqTime", "dataTime", "baseRate", "sourceTag"] | Locks core audit fields for professional service yield rate daily reports, ensuring data sources and request parameters can be verified during backtracking |
maxContext | 1500–2000 characters | Professional service requests typically include multiple sets of service filter conditions; this range can fully record core parameters while avoiding log redundancy |
PARSE_AUDIT_LOG_TIMEOUT | 30 seconds | Matches the standard response duration of external financial data source APIs relied on by professional services, preventing log parsing interruptions |
enableVectorCheck | Enabled | Professional service yield rate data must match preset vector dimensions; this configuration records dimension check results in logs |
logRequestSource | Enabled | Records the service identifier that initiated the request, making it easy to distinguish professional service requests from different clients and support layered auditing |
The parameter values provided on this page are common recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- An error message starting with
The current vector dimension is 2560, and the vectorappears in conversation logs. This occurs because the vector dimension check parameter is not configured, or the vector dimension returned by the data source does not match the preset value. - The configuration entry for the professional service plugin cannot be found in the interface. This occurs because the professional service scenario identifier is not bound to the plugin configuration module, causing the entry to fail to display properly.
- Duplicate request records appear in audit logs. This occurs because a reasonable
maxContextrange is not configured, causing context overflow to trigger duplicate log generation.
How to Verify Successful Configuration
- Enter the log auditing module in system settings, check the configuration value of
logRetentionDaysto confirm it matches the preset retention period. - Initiate a professional service yield rate query request, verify that the generated logs include preset audit fields such as
serviceIdandreqTime. - Simulate a test request with mismatched vector dimensions, check whether dimension check results are recorded in logs to verify that the
enableVectorCheckconfiguration is active. - View the plugin configuration interface, confirm that the plugin entry for the professional service scenario is displayed normally to verify that the path configuration is correct.
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.