Conversation Logging and Auditing for Investment Research Knowledge Base Construction on Investment Platforms

Investment platform investment research knowledge base data primarily comes from listed companies’ periodic reports, brokerage research reports

What Data Looks Like for This Category

Investment platform investment research knowledge base data primarily comes from listed companies’ periodic reports, brokerage research reports, institutional survey minutes, and public industry databases. Different data sources have distinct update rhythms: periodic reports update on a fixed quarterly and annual schedule, brokerage research reports are released in real time as market dynamics shift, and industry databases typically update daily or weekly. Document structure falls into two categories: structured and unstructured. Structured data includes fields such as reporting period, attributable net profit, and target price, with units including yuan, percentage, multiples, and others. Unstructured research reports include sections like abstract, core logic, and risk reminders, with individual documents reaching tens of thousands of characters.

Constraints for Conversation Logging and Auditing

The multi-source, frequently updated nature of investment research knowledge base data requires conversation logs to fully record data source unique identifiers, call times, and filtering conditions. This ensures audits can trace back to specific source materials. The presence of long documents and multiple fields requires logs to accurately record offset positions of recalled text and content of called core fields. This prevents failure to locate key investment research information during audits. Additionally, the investment research scenario has high compliance requirements. Logs must support multi-dimensional filtering by application, Agent, and time range, and retention periods must comply with industry regulations.

Configuration Settings

Configuration ItemRecommended ValueRationale
logRetentionDays90 daysComplies with compliance retention period requirements for the investment research industry
auditIncludedFieldspublish_time, target_price, report_source, call_offsetCovers data sources, key data, and call positions required for investment research audits
dialogHistoryPermissionagent_scopeRestricts Agents to only access conversation records created by themselves
streamLogRecordSwitchEnabledFully records segmented output content of streaming responses
logExportBatchSize10000 entriesAdapts to the system processing limit for single exports
logAutoCleanCron0 2 0Performs weekly scheduled automatic cleanup of non-retention logs

The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test against the reader’s own samples before finalizing.

Three Common Configuration Errors

  • When attempting to clear conversation logs for a specified application, the system returns a "no matching logs" prompt. Cause: The app_id parameter for the specified application is not bound in the cleanup rule, so the filtering condition does not take effect.
  • When viewing call logs for a single knowledge base document, it is impossible to locate the specific recalled text fragment. Cause: The streamLogRecordSwitch parameter is not enabled, so segmented recall position information is not recorded.
  • After cross-Agent session sharing, unauthorized Agents can view investment research conversation records of other Agents. Cause: The dialogHistoryPermission parameter is set to global_scope, and session isolation configuration is not enabled.

How to Verify Proper Configuration

  • Enter the system log management interface, filter conversation logs for the specified application, and verify that the configured auditIncludedFields are included in the log information.
  • Initiate an investment research conversation and trigger a streaming response, then check log details to confirm that segmented output text content is fully recorded.
  • An unauthorized Agent account attempts to access conversation logs of other Agents, and it is confirmed that the corresponding sessions cannot be viewed.
  • A log export operation is executed, and it is confirmed that export process parameters match the configured logExportBatchSize value.

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.