What data looks like for this category
Data for this category primarily comes from code repositories, API management platforms, design draft files, and browser compatibility datasets. Daily produced documents include API documentation, component descriptions, joint debugging records, and release checklists. Update frequency is typically daily or aligned with each release cycle. Fields covered include API request parameters, response status codes, page DOM structure, and browser compatible version ranges. There is no unified mandatory format, and specific fields are adjusted according to project team specifications.
What constraints these characteristics impose on conversation logs and auditing
Dispersed data sources require collecting log fragments from multiple terminals and platforms, including client-side tracking, API call records, and code submission traces. High update frequency requires the audit module to support incremental verification and real-time alerts. Unstructured documents require the log parsing module to adapt to field mapping across multiple formats, such as API documentation and joint debugging records. Frontend logs often include page status and user interaction trails, so additional sensitive information desensitization rules must be configured to prevent leakage of user operation details and API keys.
Configuration settings
This configuration is adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind to frontend session cache identifier | Used to associate interaction logs and page operation trails within a single session |
responseChatItemId | Bind to frontend DOM node ID | Used to locate the rendering position of a single reply and trace interaction trigger logic |
detail | Enable full field collection | Record API request parameters, response status, and page status change details |
| Log storage period | 30–90 days | Aligns with conventional retention cycles for frontend project compliance reviews |
| Incremental scan switch | Trigger daily | Adapts to the daily update frequency of frontend data |
| Desensitization rule configuration | Cover API keys and user phone numbers | Adapts to common sensitive data types in frontend logs |
Three common mistakes
- Interface displays errors such as
The current vector dimension is 2560, and the vector. The cause is failure to adapt to frontend log field structure, leading to dimension verification failure during log parsing. - Cannot find the plugin deployment configuration entry. The cause is mistakenly using backend service configuration paths, without matching deployment documentation for frontend application development scenarios.
- Audit logs contain a large number of circular duplicate entries. The cause is unconfigured incremental scan rules, leading to repeated collection of frontend log data within the same cycle.
How to confirm configuration is complete
- View session-associated logs, confirm that each interaction log is bound with
chatIdandresponseChatItemIdparameters. - Trigger interaction operations on the frontend page, check if audit logs are generated and include detailed information recorded by the
detailfield. - Verify desensitization rules, confirm that sensitive data such as API keys and user phone numbers have been correctly hidden.
- Check the log storage directory, confirm that data is retained and cleaned according to the configured retention cycle.
The values provided are common starting points and should be measured against the reader's own 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.