What Data for This Category Looks Like
Data for this category primarily comes from package managers, code repositories, vulnerability databases, and license databases. Daily generated documents include SBOM manifests, dependency risk reports, license lists, and repair tickets. Core fields include dependency package names, version numbers, vulnerability CVE IDs, license types, risk levels, and impact scopes. Data is updated daily or synchronized with each version release, covering risk status and compliance information for all third-party components.
Constraints on Workflow Orchestration
Data sources for this category are scattered and update flexibly. Workflows must support multi-source data pulling and incremental synchronization. Core document structures include multiple risk fields, so workflow nodes must be configured to handle time-consuming tasks such as dependency identification, vulnerability matching, and upgrade impact assessment. Errors here can lead to compliance or business risks, so workflows must include failure-triggered alert and blocking nodes. These nodes ensure processes terminate promptly during anomalies, preventing high-risk or non-compliant components from being deployed.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Scheduled trigger cycle | Every 6 hours | Matches daily/per-version data update rhythm, avoids frequent pulling that consumes system resources |
variables | Bind SBOM manifest storage path, vulnerability database query address | Uniformly manage category-specific data source and document configuration parameters |
nodeId | Assign unique identifiers to dependency identification and vulnerability matching nodes | Facilitates process debugging and quick location of failed nodes |
| Failure alert trigger condition | High-severity vulnerability matching results | Corresponds to the risk level of error consequences, triggers internal enterprise alert channels |
| Batch processing limit | 1000 dependency records per batch | Avoids single-request overload, balances processing efficiency and data integrity |
| Loop execution count | Determined via actual testing | Adapts to batch evaluation requirements for multi-version dependencies |
This configuration guide applies to FastGPT v4.17.0
Three Common Misconfigurations
- Errors occur when running custom JS code in workflow code execution nodes. This happens when
variablesis not used to configure the access path and permissions of dependency data sources, so nodes cannot read SBOM manifests or vulnerability database data. - The AI model dropdown list in the problem classification node is empty. This occurs when the workflow configuration does not bind model call permissions for the corresponding category, or does not configure necessary interface parameters.
- Relevant interfaces cannot be found when creating workflows via API. This occurs when the FastGPT workflow API extension module is not enabled, or API orchestration permissions are not enabled in system settings.
How to Verify Correct Configuration
- Check the scheduled trigger node's cycle setting, confirm it matches the data update frequency.
- Verify the data source paths bound in
variables, ensure nodes can normally read SBOM manifests and vulnerability database data. - View nodes identified by
nodeId, confirm each core workflow step has an independent debugging entry. - Trigger a test run, confirm high-severity vulnerability matching results trigger the preset alert channel.
The values given 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.