What this category of data looks like
Multi-app routing conversation logs and auditing data originate from two core paths. The first is scheduling interaction logs from the routing gateway, which include request source, matched target application ID, routing latency, decision parameters, and other details. The second is conversation interaction logs from each associated sub-application, which include user input, model output, session identifier, and other details. Logs use structured JSON format. Each record includes fixed fields such as session_id, user_unique_id, route_node_id, target_app_id, input_content, output_content, create_time, status_code, and additional relevant fields. Data is generated in real time: a complete log entry is written immediately after each user interaction with a routing node, with no batch aggregation delay.
What constraints these characteristics impose on the conversation logs and auditing link
Since data is generated across the routing gateway and multiple sub-applications, the auditing link must implement cross-data source log aggregation. Without this, complete conversation links cannot be traced. Log fields from different sub-applications may vary, so unified mapping rules must be used to align associated dimensions and ensure full-link traceability. Compliance requirements in financial scenarios require complete interaction logs to be retained, so a long-term storage strategy must be configured to prevent early log cleanup. Additionally, routing decision parameters must be retained separately to support confirmation of the reasonableness of routing allocation during audits; relying solely on sub-application conversation logs is insufficient. Timestamps must be uniformly aligned with the system time of both the gateway and sub-applications to avoid link breaks caused by time deviations during audits.
How to configure settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
route_log_sync_interval | 1000 milliseconds | Matches the real-time interaction rhythm of multi-app routing, avoids excessive delay in auditing logs |
audit_log_retention_days | 365 days | Meets compliance retention requirements for the financial industry, covers standard audit cycles |
cross_app_log_unify_fields | ["session_id", "user_unique_id", "create_time"] | Unifies log association dimensions across the routing gateway and sub-applications, supports full-link tracing |
user_session_bind_rule | Bind by user_unique_id + session_id | Ensures each user’s conversation logs can be uniquely traced, prevents confusion across user logs |
log_status_code_capture | [200, 400, 500, 401, 403] | Covers common normal and abnormal status codes for routing scheduling and sub-application calls |
error_log_alert_threshold | 10 per hour | Detects abnormal calls to multi-app routing in a timely manner, avoids compliance risks |
The parameter values provided on this page are standard recommendations for establishing initial configuration baselines. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test against your own samples before finalizing settings.
Three common misconfigurations
- Symptom: Conversation initiated via API shows
human_inputfield as null in the audit preview panel. Cause: The API request does not carry validsession_idanduser_unique_idparameters, causing the routing node to fail to correctly bind user input and session identifiers. - Symptom: Different users cannot view their own historical conversation logs after logging in. Cause: The
user_session_bind_ruleconfiguration is not enabled, or the binding rule does not associate theuser_unique_idfield, causing logs to fail to be filtered by user dimension during aggregation. - Symptom: Sub-application console logs are not synced to the unified audit panel of the multi-app routing. Cause:
cross_app_log_unify_fieldsis not configured, or the real-time sync switch forroute_log_sync_intervalis not enabled, causing logs from the gateway and sub-applications to fail to be associated.
How to confirm correct configuration
- Initiate an API test conversation with valid
session_idanduser_unique_idparameters, check if a corresponding record exists in the audit log and thehuman_inputfield is not null. - Initiate multiple test conversations using different
user_unique_idvalues, verify that the audit panel can filter all conversation logs for the corresponding user byuser_unique_id. - Trigger a routing scheduling exception such as a target application being unavailable, check if an abnormal record with the corresponding
status_codeis captured in the audit log. - View the log storage retention period configuration, confirm it meets preset compliance retention requirements and there is no risk of early cleanup.
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.