What the data for this category looks like
Data for comprehensive service yield rates and daily market reports comes from connected public market APIs, internal transaction ledger systems, and product management modules. Updates run at fixed times each day, covering all product information from the previous trading day. Documents use structured formats, including fields such as unique product identifiers, daily yield values, corresponding market points, data update timestamps, and data source types. Field units follow industry standard conventions: yield values are recorded as floating-point numbers, market points use integer or floating-point values, and timestamps use the ISO 8601 standard format.
What constraints these characteristics impose on conversation logs and auditing
Multiple scattered data sources require conversation logs to record both the call chain and return results for each data source, to avoid mixing data across sources. The fixed daily update schedule requires the auditing step to verify the timestamp range of logs, ensuring only fully updated daily data is used, and preventing calls to unsynchronized information. The structured document format requires logs to record field parsing status, and generate alerts for missing or abnormal fields, to maintain accuracy of conversation context. Since comprehensive services cover multiple product categories, logs must associate product identifiers with conversation requests, to enable audit tracing by product.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 90 days | Meets financial industry compliance requirements for log retention periods |
AUDIT_FIELD_WHITELIST | ["product_id", "daily_return", "update_time", "source_type"] | Only retains core fields required for auditing, reducing resource usage for log storage and parsing |
DATA_SOURCE_TIMEOUT | 30 seconds | Comprehensive services call multiple data sources simultaneously; this timeout limit prevents blocking of overall conversation workflows |
SESSION_LOG_AUTO_EXPORT | Triggered weekly | Matches weekly audit archiving habits for daily report data, enabling regular retention of audit materials |
PARSE_STRICT_MODE | Enabled | Validates field completeness for structured daily report data, preventing abnormal values from entering conversation contexts |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material formats, data volumes, and business rules. Specific issues require individual analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: When viewing session log details, the error
cannot read properties of undefined (reading 'xxx')appears. This occurs because core fields such asproduct_idandupdate_timeare not added toAUDIT_FIELD_WHITELIST, causing missing associated fields during log parsing. - Issue: After uploading a structured daily report file, the large language model output does not include yield data from the file. This occurs because
PARSE_FILE_AUTO_INJECTis not enabled, or the uploaded file is not associated with the current conversation context. - Issue: Auditors cannot trace the source of a specific yield data entry. This occurs because
LOG_DATA_SOURCE_CALLis not enabled, so details of multi-data-source calls and return statuses are not recorded.
How to Verify Correct Configuration
- View the system log list, confirm that each log includes core fields such as
product_idandupdate_time, and that field completeness matches the configured whitelist requirements. - Trigger a conversation call for daily report data, check that logs record the data source call time and return status code, to verify the timeout configuration works as expected.
- Upload a structured daily report data file, initiate a statistical summary request, confirm that logs associate the uploaded file ID with parsing results.
- Check the log retention directory, confirm that log retention duration matches the
LOG_RETENTION_DAYSconfiguration, to verify the retention setting 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.