What This Category of Data Looks Like
Data sources include industry association public statistics, spot trading platform quotes, customs import and export record data, and mining enterprise public announcements. Update rhythms fall into three categories: daily updated real-time spot quotes, weekly updated industry supply and demand monitoring data, and monthly updated customs import and export and production capacity statistics. Most documents use structured table formats, with fields including product name, origin, specification parameters, transaction average price, total inventory, and supply-demand gap. Some specialized documents include exclusive fields such as ore content proportion and per-tonne-degree trading unit price. Common units are yuan/ton, tonne-degree, ten thousand tons, and similar units.
What Constraints Do These Characteristics Impose on Conversation Logging and Audit
The varied update rhythms of multi-source minor metals data require conversation logs to mark precise timestamps by data type. Audit workflows must verify that data source timestamps from session calls match the time range required by business needs. The presence of exclusive fields and units requires logs to fully record field names and corresponding units. Audits must check whether parameter calls confuse exclusive measurement rules across different product categories. The multi-source data call chain requires logs to associate data source identifiers. Audit workflows must check whether call permissions meet compliance requirements. Long document chunk calls require logs to record chunk context relationships. This prevents loss of complete business call logic during audits.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RECORD_FIELD_WHITELIST | ["session_id", "user_query", "ai_response", "data_source", "field_name", "unit", "timestamp"] | Covers core audit fields for minor metals investment research conversations, including exclusive data source, field name and unit information to ensure audit traceability of business details |
LOG_RETENTION_DAYS | 180 days | Minor metals industry data audit traceability cycles typically cover quarterly business cycles. 180 days meets conventional audit requirements |
SPECIAL_FIELD_MAPPING | {"grade": "ore content proportion", "tonne-degree price": "yuan per tonne-degree"} | Matches naming rules for minor metals exclusive terminology, avoids inconsistencies between log records and business terminology, and simplifies audit checks |
WORKFLOW_PLUGIN_LOG_LEVEL | DEBUG | Minor metals investment research plugin calls involve multi-source data splicing. DEBUG level captures complete parameter transfer and data source call details |
QUERY_LOG_SAMPLING_RATE | 100% | Investment research scenarios require full audit of every conversation call to avoid missing key business data through sampling |
PARSE_LONG_DOC_CHUNK_SIZE | 800–1200 characters | Minor metals research reports are typically lengthy. This chunk length balances context completeness and log storage efficiency |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, 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 Configuration Mistakes
- Symptom: After adding a custom plugin to a workflow, input and output parameters are not displayed, and no error logs are generated. Cause: For open source version v4.8.20-fix2, the plugin parameter registration path is not configured correctly, and detailed logging is not enabled. This causes key parameter loading information to not be written to logs.
- Symptom: Unit information for minor metals exclusive fields is not recorded in conversation logs, making it impossible to verify measurement rules during audits. Cause:
SPECIAL_FIELD_MAPPINGis not configured, orLOG_RECORD_FIELD_WHITELISTdoes not include theunitfield. This causes exclusive unit information to not be written to logs. - Symptom: The timestamp of session logs does not match the timestamp of called minor metals data, leading to time range deviations during audits. Cause: Time range verification rules are not configured by data type. This causes logs to not mark the actual update time of data sources, making it impossible to verify the timeliness compliance of session calls.
How to Confirm Configuration Is Successful
- Navigate to the system log preview interface, randomly spot-check a conversation log, and confirm the log includes core information such as session ID, user query, AI response, data source, field name and unit.
- Trigger a conversation that uses minor metals exclusive terminology, and view the detailed workflow plugin logs to confirm complete details of parameter transfer and data source calls are captured.
- Access the log retention configuration interface, and confirm the retention period setting meets conventional business audit requirements.
- Select a historical session, cross-check the log timestamp against the actual update time of the corresponding data source, and verify that the time matching rule is working correctly.
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.