Conversation Logs and Auditing for Glass Yield Rates

Market data for construction glass such as float glass is sourced from the Zhengzhou Commodity Exchange futures market API and domestic bulk spot

What data for this category looks like

Market data for construction glass such as float glass is sourced from the Zhengzhou Commodity Exchange futures market API and domestic bulk spot trader quotation APIs. Futures data updates every 15 seconds during trading days. Spot quotations update once daily at 9 AM. Each data entry includes product name, specification thickness, origin, transaction price, change amount, and update time. The corresponding fields are product_name, specification, origin_place, trade_price, change_amount, and update_time. Price unit is yuan per square meter. Change amount unit is yuan.

What constraints do these characteristics impose on conversation logs and auditing?

The multi-specification and multi-origin field design requires that conversation logs fully record the specification and origin_place request parameters. Otherwise, corresponding quotations cannot be matched during audits. The high-frequency updated data attribute requires logs to record the request timestamp and data update time for each call. This prevents expired data from being used across time periods. The multi-data source call chain requires logs to record data source identifiers. This facilitates troubleshooting of interface exceptions. The absolute value field design for price and change amount requires logs to clearly distinguish field meanings. This avoids data confusion during audits.

Configuration Settings

Configuration ItemRecommended SettingRationale
LOG_RETENTION_DAYS90 daysComplies with compliance retention requirements for financial auditing scenarios
DIALOGUE_HISTORY_MAX_CONTEXT15 most recent conversationsGlass market data updates frequently; overly long history will introduce expired quotation data
PARSE_CALL_LOG_ENABLEEnabledFully records model calls and market data return chains to support audit traceability
CONVERSATION_DELETE_POLICYAdministrators may only mark conversations for archiving; physical deletion is not permittedPrevents audit logs from being arbitrarily altered or deleted
LOG_EXPORT_FIELDS["specification", "trade_price", "update_time", "request_id"]Matches core audit fields for glass market data

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, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Phenomenon: After publishing a login-free conversation link, regular users delete conversation content, and background audit logs are cleared synchronously. Cause: CONVERSATION_DELETE_POLICY is not configured to prohibit physical deletion; the default permission allows all users to delete associated logs.
  • Phenomenon: When calling the glass market data interface, the interface prompts "Failed to obtain data", and the background log only shows request parameters without complete return fields. Cause: LOG_EXPORT_FIELDS is not configured to include core market data fields, so the full call chain is not recorded in logs.
  • Phenomenon: After local deployment via Docker Compose, historical conversation records cannot be retrieved using web sharing links. Cause: PARSE_CALL_LOG_ENABLE is not enabled, so conversation logs are not persistently stored.

How to Verify Correct Configuration

  • Log in to the background log management page, view the log retention duration configuration, and verify that it matches the preset retention period.
  • Initiate a glass market data query conversation, check that logs fully record request parameters and returned specification, price, and update time fields.
  • Use a non-administrator account to attempt deleting a conversation, confirm that background audit logs cannot be cleared, and verify the deletion permission configuration.
  • Trigger an interface call failure, check that corresponding error logs are generated with complete call chain information.

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.