What the data for this category looks like
This category’s core data includes four types of documents: configuration item lists, service component relationship topologies, change records, and asset inventory sheets. Data sources include CMDB systems, cloud resource lists, automatic discovery tools, and procurement ledgers. The data update frequency is daily or weekly. Change records update in real time alongside configuration operations. Asset inventory sheets and relationship topologies sync on a weekly basis. Each individual data entry contains fields such as configuration item unique identifier, asset type, upstream and downstream dependency relationships, change time, and responsible person. Core attributes are recorded as string and number types, with no unified unit applied.
What constraints these characteristics impose on conversation logs and auditing
This category’s data originates from multiple sources and links service dependency relationships. It requires conversation logs to bind to the unique identifiers of specific configuration items and change operations, to avoid data confusion during audit tracing. Differences in data update frequencies require audit logs to distinguish between real-time change operations and periodic sync operations, and match different retention rules for each. The structural complexity of configuration item lists and relationship topologies requires logs to fully record parameter transfers and configuration modification content during conversations. This ensures complete operation links can be restored during audits. Additionally, the risk of discrepancies between asset records and actual assets requires audit logs to cover all conversation links involving configuration changes, and not omit key operation nodes.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind to CMDB change session ID | Link conversations to specific configuration change operations, ensuring every log can be traced back to the corresponding configuration item change |
responseChatItemId | Keep the first 10 entries | Retain response content for key audit nodes, covering feedback from core operations such as configuration modifications and relationship verification |
detail | Enable full log collection | Cover the full link parameters of configuration item changes, meeting the complete tracing requirements of compliance audits |
| Conversation log retention period | 365 days | Meet the audit retention standards of security compliance, and match the weekly/daily update rhythm of data in this category |
| Login-free session log storage | Store independently of user conversation paths | Prevent audit logs from being cleared when login-free users delete conversations, ensuring compliance |
Three Common Misconfigurations
- Phenomenon: After calling the API to pass
chatId, the backend audit log does not display the associated configuration item identifier. Cause: ThechatIdis not bound to the CMDB change session ID, only a general session identifier is passed, causing the log to fail to associate with specific configuration operations. - Phenomenon: After a login-free user deletes a conversation, the backend audit log is also cleared synchronously. Cause: The audit log uses the temporary storage path of the user conversation, and no independent audit log storage directory is configured.
- Phenomenon: An error occurs when calling logs after deploying with Docker Compose, and data acquisition fails. Cause: Full log collection for the
detailparameter is not enabled, resulting in missing log fields that prevent normal parsing of audit data.
How to Verify Successful Configuration
- Call the API with a
chatIdbound to a CMDB change session, check the audit log list in the FastGPT v4.17.0 backend, and confirm that the associated configuration item identifier is displayed in the log. - Simulate a login-free user initiating a configuration-related conversation and deleting the conversation, check whether the backend audit log retains the complete record of the session, and that it is not cleared along with the user conversation.
- View the log storage directory for the Docker Compose deployment, confirm that the complete conversation content corresponding to the
detailparameter has been written to the audit log, with no missing fields. - Verify the configuration of
responseChatItemId, check whether the audit log contains the first 10 key response contents, covering core operation links.
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.