What the data for this category looks like
Data sources for general investment research include public industry research reports, regulatory policy documents, custom internal research notes, and third-party industry databases. Update rhythms vary by source: public reports follow the publishing cycle of their issuing institutions, while internal notes are updated upon submission. Document length spans a wide range, from structured industry statistical tables to tens of thousands of words of in-depth analysis. Document fields include issuing institution, release time, topic category, content summary, original file link, and some structured data include statistical cycle units.
What constraints these characteristics impose on conversation logs and auditing
Multi-source data access requires conversation logs to link calling identifiers for corresponding data sources, ensuring that the calling chain of specific data sources can be traced during audits. The wide range of document lengths requires logs to fully record the actual usage length of the context window, preventing incomplete restoration of the full interaction process due to truncation. Rich metadata fields require logs to synchronously store fields such as issuing institution and release time, meeting the information tracing requirements of compliance audits. On-demand updated internal data requires logs to record version snapshots taken at the time of data calling, preventing the inability to restore the interaction basis after subsequent data updates.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 90–180 days | Meets compliance audit cycle requirements for investment research scenarios, covering standard quarterly or semi-annual tracing needs |
MAX_LOG_CONTEXT_LENGTH | 8000–12000 characters | Meets long context storage requirements for most investment research interactions, avoiding truncation of critical interaction information |
AUDIT_LOG_INCLUDE_METADATA | Enabled | Requires synchronous storage of document metadata to meet data tracing and compliance audit requirements in investment research scenarios |
LOG_EXPORT_FORMAT | CSV format | Structured format facilitates batch processing and archiving during compliance audits |
ERROR_LOG_TRIGGER_CONDITION | All exception states | Fully records all interaction exceptions to facilitate troubleshooting of model or data calling issues |
The parameter values provided on this page are general recommendations for establishing configuration baselines. Actual values are affected by material formats, data volumes, and business rules. Specific issues require targeted analysis, and it is recommended to test against your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: After calling a workflow, no corresponding log entry is generated on the application conversation page or the system audit panel. Cause: The log recording switch for workflow nodes is not enabled, or the
LOG_WORKFLOW_TRACEparameter is set tofalse. - Symptom: In a Docker deployment environment, the model testing interface returns normal logs, but the workflow conversation page shows a call failure with no corresponding logs. Cause: The log mount path configuration inside the container is incorrect, causing log files to fail to write to the specified directory.
- Symptom: After an application conversation triggers an abnormal error, no corresponding error record is found in the audit panel. Cause: The
LOG_EXCEPTION_DETAILparameter is not enabled, or the exception type is not included in the log capture scope.
How to confirm successful configuration
- Navigate to the log configuration page in system settings, and verify that the values of parameters such as
LOG_RETENTION_DAYSandLOG_EXPORT_FORMATmeet preset compliance and business requirements. - Initiate an investment research interaction that includes multi-source data calls, and check whether the audit panel synchronously displays the calling identifiers and metadata fields of corresponding data sources.
- Trigger a predictable abnormal interaction, and confirm that the exception details are written to the audit log.
- Attempt to export audit logs for a specified time period, and confirm that the export format matches the preset 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.