What the data for this category looks like
Data for this category primarily comes from content tag libraries, user behavior logs, recommendation backends, and experiment platforms. Daily produced documents include recommendation strategy records, content pool lists, experiment reports, and operation reviews. Data updates occur primarily on a daily or weekly basis. Each individual data entry includes fields such as unique content identifiers, tag weights, user interaction metrics, and experiment group identifiers. There are no fixed statistical values; data is generated based on actual collected content.
What constraints these characteristics impose on conversation logs and auditing
This category’s data sources are scattered and update flexibly. Conversation logs and auditing must cover the full end-to-end workflow from content invocation, recommendation generation to user interaction. This ensures full traceability of interaction records for every recommended piece of content. Daily and review documents are mostly strategy-related or review-related. The auditing workflow must link conversation content to corresponding strategy versions and experiment group identifiers. This prevents low-quality content from being amplified through the recommendation pipeline. The daily or weekly update cycle requires auditing tasks to support periodic validation. It must also adapt to real-time anomaly troubleshooting needs, quickly locating trigger points for abnormal traffic or non-compliant content. Errors directly impact core business metrics. Auditing must retain complete conversation context to ensure accurate tracing and localization of non-compliant interactions.
How to set up configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Conversation log retention period | 30–90 days | Matches the daily/weekly data update cycle of this category, covers complete strategy iteration and review cycles |
detail parameter toggle | Enabled | Requires collection of complete interaction details to support tracing of reply content corresponding to responseChatItemId |
| Chat record isolation rule | Isolate by business group | Content recommendation operations divide content pools by business line, ensuring interaction records from different groups do not overlap |
| Audit log granularity | Link to business identifiers | Must bind fields such as content ID and experiment group, matching the association audit requirements of daily documents |
| Log timeout threshold | 600 seconds | Adapts to the time limit for content pool filtering and abnormal traffic troubleshooting, preventing loss of critical logs due to timeout |
| Public access log retention | Full retention | Must record all interaction records for public links to meet traceability requirements for compliance reviews |
Note: This configuration applies to FastGPT v4.17.0
Three common configuration errors
- Scenario: After the client closes the SSE connection, the conversation log corresponding to
chatIdis not fully stored in the database. Cause: No validation logic for waiting for request completion is configured. Logs are only written when requests return normally, leading to log loss during interruptions. - Scenario: MongoDB connection fails, the interface cannot log in, and the log reports slow operation. Cause: Database connection parameters are not configured correctly, or the retention period is set too long, leading to excessive database load and response timeouts.
- Scenario: Chat records for public access links are not isolated by business group. Cause: The chat record isolation configuration is not enabled, or the grouping rule is not bound to the content recommendation business line identifier, leading to mixed logs from different businesses.
How to confirm the configuration is correct
- View the conversation log details corresponding to
chatId, confirm that complete reply content and interaction identifiers are visible after thedetailparameter is enabled. - Test public links from different business groups, verify that chat records are only visible within the corresponding group and cannot be viewed across groups.
- Manually trigger a content pool filtering operation, confirm that logs are stored in the specified location within the set retention period after the operation completes.
- Simulate an SSE connection interruption scenario, check whether logs are still fully retained.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.