What the Data for This Category Looks Like
The data for this category primarily comes from creator backends, enterprise credit information platforms, account history records, and contract systems. Updates occur via daily synchronization or when individual application submissions are made. Commonly processed documents include onboarding application forms, scanned identity qualification materials, audit review workflow records, and cooperation agreement texts. Typical data fields include application unique identifiers, creator account associated IDs, qualification file verification codes, audit node statuses, contract numbers, and signing times. No fixed, uniform unit fields exist; values vary based on document type.
Constraints Imposed on Conversation Logs and Auditing
The data sources for this category are scattered, and update rhythms change dynamically with applications. Conversation logs and auditing must link application unique identifiers and creator account IDs to aggregate interaction records by individual application. The need to process multiple document types requires logs to cover interaction details across all nodes, including qualification verification, account risk assessment, and authentication information maintenance. The consequences of errors from fraudulent verification and cooperation disputes require log retention to align with audit workflow cycles, and key interaction fields must not be modified. Additionally, the need to review time-consuming processes requires logs to record full interaction parameters and response content within the detail field, to facilitate locating verification discrepancies.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Log Association Identifier | Bind chatId to creator application ID | Matches the core requirement of aggregating interaction data by individual application for this category |
| Interaction Detail Collection | Enable full recording of the detail field | Covers traceability requirements for all audit nodes including qualification verification and account risk assessment |
| Log Retention Period | 180–365 days | Aligns with the cycle requirements for dispute traceability and compliance auditing for this category |
| Empty Interaction Alert | Trigger notifications when responseChatItemId is empty | Corresponds to abnormal scenarios where no valid interaction exists for an application node |
| Per-Application Log Limit | 800–1200 MB | Adapts to the volume of qualification files and interaction data for individual applications in this category |
| Log Timeout Threshold | 600 seconds | Matches the interaction duration requirements for audit nodes in this category |
Three Common Misconfigurations
- Scenario: No interaction records for yesterday or today appear on the call log page of the creator review backend. Cause:
chatIdis not bound to the creator application ID, leading logs to aggregate by general conversation dimensions and fail to match interaction data for application nodes. - Scenario: In a docker-deployed FastGPT v4.17.0 instance, model test logs generate normally, but workflow conversation logs are empty. Cause: Collection of the
detailfield for workflow nodes is not enabled, and only basic logs for model calls are collected. - Scenario: An abnormal error appears in application conversations, but no corresponding record is found in audit logs. Cause: The log retention trigger for abnormal errors is not configured, and only successful interaction content is recorded.
How to Verify Proper Configuration
- A test creator onboarding application is submitted, and audit logs are reviewed to confirm association with the unique identifier of the corresponding application.
- An interaction at the qualification verification node is triggered, and the
detailfield is inspected to confirm it contains complete qualification file verification parameters and response results. - An empty interaction scenario is simulated, and preset alert notifications are verified to trigger.
- A timed-out interaction is triggered, and logs are checked to confirm recording of timeout-related abnormal information.
The values provided here are common starting points, and should be evaluated against local samples.
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.