Unified Entry Integrated AI Platform Conversation Logs and

What this category’s data looks like

Conversation log data for the unified entry integrated AI platform originates from the full user interaction chain of all connected AI applications on the platform. It includes core information such as user input content, application response results, call parameters, and session identifiers. Data is updated in real time, and written to storage immediately after each user-application interaction completes.

Logs use a structured format, with fields including session_id, user_id, app_id, request_content, response_content, create_time, status_code, and token_used. Time fields use milliseconds as their unit. Token usage counts individual tokens as the measurement unit.

What constraints these characteristics impose on the "conversation logs and auditing" workflow

Because logs must associate multiple applications and users, the auditing workflow must filter by both app_id and user_id to accurately locate a specific user’s interaction records for a specific application. Without this dual filtering, precise location is not possible.

The real-time update feature requires the audit query pipeline to support low-latency retrieval. This prevents incomplete audit data caused by log lag.

The structured field design means audit rules must bind preset field dimensions. Direct filtering on non-preset custom fields is not supported.

Additionally, the unified entry aggregates cross-application session flows. The auditing workflow must support cross-application session tracing to fully track a user’s interaction path across different applications.

How to configure the settings

Configuration Item	Recommended Value	Rationale
`audit_log_retention_days`	`90 days`	Meets compliance audit retention requirements for finance and insurance industries, and ensures a traceable period for audit data
`session_id_generation_mode`	`user_id+app_id+timestamp`	Ensures each session has a unique identifier, while binding user and application information to resolve log differentiation issues across multiple users and applications
`log_query_timeout`	`30 seconds`	Balances query performance and resource usage, and prevents service blocking from large-span log queries
`audit_field_whitelist`	`["user_id", "app_id", "create_time", "status_code"]`	Focuses on core traceable fields required for compliant auditing, and avoids leaking sensitive user information
`log_batch_write_size`	`100 entries per request`	Balances write performance and storage overhead, and reduces the failure probability of single write requests

The parameter values provided on this page are common recommendations used as a starting point 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 errors

Phenomenon: Queried chat records mix interaction content from different users, and filtering by user dimension is not possible. Cause: session_id_generation_mode is not configured to bind user_id and app_id, resulting in logs not carrying unique user identifiers.
Phenomenon: Audit log queries return a 504 Gateway Timeout error. Cause: A reasonable log_query_timeout threshold is not set, or the log table is not partitioned by create_time, resulting in timeout from large-span queries.
Phenomenon: Cross-application session flows cannot be traced during compliant auditing. Cause: Cross-application log aggregation configuration is not enabled, and only single-application log data is stored separately.

How to confirm the configuration is correct

Initiate a test user interaction request, view the log details page, and confirm that the user_id and app_id fields are correctly populated.
Filter logs by the specified user_id, and verify that only all interaction records for that user are returned, with no content from other users mixed in.
Trigger a cross-application session flow operation, and confirm that the audit log can simultaneously associate the app_id of multiple applications and a consistent session ID.
Check the log retention status, and confirm that logs exceeding the preset retention period have been processed according to rules to meet compliance requirements.

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.