This page is compatible with FastGPT v4.17.0.
What data for this category looks like
Data sources for this category include cloud audit logs, IAM permission systems, CMDB resource inventories, and security baseline scan results. Daily produced documents include compliance checklists, permission audit reports, resource inventories, and rectification tracking sheets. Data update cycles are monthly or quarterly. Single documents contain fields such as resource identifiers, permission configuration items, compliance check results, and associated rectification items. Some fields are linked to timestamps and resource identifiers.
What constraints these characteristics impose on forms and interactions
Multiple cloud-native systems provide data sources. External business systems or subsequent workflow nodes must support cross-data source field mapping configuration. This prevents field mismatches caused by manual entry. Data update cycles are monthly or quarterly. FastGPT’s built-in high-frequency automatic refresh is not required. Only external business systems or subsequent nodes must support scheduled pulling or manual trigger-based updates. Daily document structures are fixed. Fields collected via forms must exactly match fields used in documents such as compliance checklists and permission audit reports. This ensures output content can be directly reused by external business systems or subsequent nodes. Error outcomes include audit failure, unauthorized access, and contract breaches. External business systems or subsequent nodes must add required field validation and abnormal field interception logic. This reduces compliance risks.
How to set configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form Input Node formInput | Test example: Select 3 fields from cloud resource compliance audit fields as required inputs. Actual fields are determined by the task | This node collects user input. Missing required items requires checking interaction status to prevent subsequent nodes from receiving incomplete input |
User Selection Node userSelect | Test example: Set 2 business options, check corresponding branches one by one | This node handles user selection. Queries and filtering of cloud resource compliance audit-related records must be implemented via subsequent interfaces or external systems |
| Post-submission Field Passing | Test example: Prepare 10 cloud resource compliance audit input samples, covering full completion, missing required items, and canceled operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields. Result thresholds are determined based on actual tasks |
| External Implementation Item: Input Length Limit | Must be implemented separately by external systems. Set to 800-1200 characters (test example) as calibrated by external business systems or subsequent nodes through actual testing | Adapts to the standard length of single resource descriptions |
| External Implementation Item: Bulk Import Limit | Must be implemented separately by external systems. Set to 500 items per batch (test example) by external business systems or subsequent nodes | Adapts to the data scale of single documents updated monthly or quarterly |
| External Implementation Item: Scheduled Update Cycle | Must be implemented separately by external systems. Set to once per month or once per quarter (test example) by external business systems or subsequent nodes | Matches the update frequency of data for this category |
Three common mistakes
- Symptom: An error indicating empty fields occurs when bulk importing resource inventories. Verification step: Check whether external business systems or subsequent nodes have configured field mapping rules for cloud audit logs, IAM, and CMDB.
- Symptom: No interception is triggered when a single resource configuration description exceeds the preset length, generating invalid data. Verification step: Check whether external business systems or subsequent nodes have configured input length limit logic.
- Symptom: Exported rectification tracking sheets have mismatched formats compared to preset compliance checklists. Verification step: Check whether external business systems or subsequent nodes have configured export templates matching the structure of business documents.
How to confirm proper configuration
- Manually enter a single test resource data set. Verify whether external business systems or subsequent nodes trigger required field interception logic normally.
- Import a small volume of test data. Verify whether external business systems or subsequent nodes match form fields exactly to fields in CMDB and cloud audit logs.
- Trigger a scheduled update task via external business systems or subsequent nodes. Verify whether data pulling completes according to the preset cycle.
- Export test data via external business systems or subsequent nodes. Verify whether the exported format matches the structure of business documents.
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.