What the data for this category looks like
Data for this category originates primarily from enterprise OA systems, organization directories, internal policy documents, and user feedback. Daily generated documents include process configuration sheets, approval node tables, form field descriptions, and change records. Data updates trigger when configuration changes occur, or once per month. Data fields cover approval node permissions, form validation rules, and workflow transfer path parameters. There are no fixed statistical units; records are organized by configuration item.
What constraints these characteristics impose on conversation logs and auditing
Scattered data sources require log collection to cover multiple system interfaces, and adapt to different log formats such as OA approval node callbacks and form submission events. Variable update frequency requires audit logs to support filtering by configuration change time. Complex document structures mean audit logs must link unique identifiers across multiple document types including process configuration sheets and node tables, to prevent logs from becoming disconnected from actual configurations. Since errors directly impact business workflow, the audit link must retain complete call chains to help locate root causes of stuck approvals or permission errors. User feedback issues are included in audit troubleshooting, so logs must include full tool call parameters and return results. This configuration solution is based on FastGPT v4.17.0.
How to set configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Log collection binding identifier | chatId associated with process node | Ensures every tool call for a process configuration can be bound to the corresponding session |
| Log retention period | 180-365 days | Meets conventional retention requirements for compliance reviews |
| Required audit log fields | Includes responseChatItemId and detail | Fully records tool call input/output and session context |
| Concurrent log throttling threshold | 3-5 requests per second | Matches typical concurrent call volumes for office systems, preventing log collection processes from being overwhelmed |
| Single log storage limit | 1000 MB | Prevents individual logs from consuming excessive storage resources |
| Exception alert trigger condition | When detail returns a null value or the status code is not 200 | Enables timely identification of tool call failures |
| Log retrieval dimensions | Filter by process configuration sheet ID and change time | Aligns with daily audit troubleshooting scenarios |
Three common errors
- Scenario: When concurrent call volume is high, tool calls return none, and the
detailfield in audit logs is empty. Cause: No concurrent log throttling threshold is configured, so log collection processes are overwhelmed by high-concurrency requests and cannot fully record return results. - Scenario: The tool call module continuously outputs runtime records, and cannot connect to the call termination node. Cause: No association rule is configured between audit logs and process termination nodes, leading to interrupted log chains and failure to synchronize termination status.
- Scenario: Third-party tools work normally during standalone testing, but fail when embedded in a process, with no corresponding call record in audit logs. Cause: Third-party tool calls are not included in the log collection scope, making it impossible to troubleshoot link issues.
How to confirm the configuration is properly set
- Initiate a tool call for a process configuration, check that the audit log includes complete content for the
chatId,responseChatItemId, anddetailfields. - Simulate high-concurrency calls (2-3 requests per second), confirm that audit logs are not lost, and that alerts for abnormal calls trigger correctly.
- Make one process configuration change, check that the audit log links to the corresponding process configuration sheet ID and change time.
- Call a malfunctioning tool, confirm that the audit log captures error information in the
detailfield.
The values provided here are common starting points, and should be evaluated against the target organization'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.