My Workflow 2¶
A simple n8n workflow that demonstrates the integration of manual triggering with AI guardrails functionality, providing a foundation for content validation and safety checks in automated processes.
Purpose¶
No business context provided yet — add a context.md to enrich this documentation.
This workflow appears to be a basic implementation for testing or demonstrating guardrails functionality, which typically involves content filtering, safety checks, or validation rules for AI-generated or user-submitted content.
How It Works¶
- Manual Execution: The workflow starts when a user manually clicks the "Execute workflow" button
- Guardrails Processing: The input is then passed through the Guardrails node, which applies configured safety rules, content filters, or validation checks
- Output: The guardrails node processes the input and returns results based on the configured rules
Workflow Diagram¶
graph TD
A["When clicking 'Execute workflow'<br/>(Manual Trigger)"] --> B["Guardrails<br/>(Content Validation)"]
Trigger¶
Manual Trigger: This workflow is executed manually by clicking the "Execute workflow" button in the n8n interface. This makes it suitable for testing, demonstrations, or on-demand processing scenarios.
Nodes Used¶
| Node Type | Node Name | Purpose |
|---|---|---|
| Manual Trigger | When clicking 'Execute workflow' | Initiates the workflow execution manually |
| Guardrails | Guardrails | Applies content validation, safety checks, or filtering rules |
External Services & Credentials Required¶
The Guardrails node may require: - AI Service Credentials: Depending on the guardrails configuration, this might need API keys for services like OpenAI, Anthropic, or other AI providers - Custom Validation Services: If using external content moderation or validation APIs
Note: No specific credentials are configured in this workflow yet. Check the Guardrails node configuration for actual requirements.
Environment Variables¶
No environment variables are currently configured for this workflow. The Guardrails node may require environment variables depending on its specific configuration and the services it connects to.
Data Flow¶
Input: - Manual trigger provides basic execution context - Any data passed to the Guardrails node (configuration dependent)
Processing: - Guardrails node applies configured validation rules, content filters, or safety checks
Output: - Processed results from the Guardrails node - Validation status, filtered content, or safety assessment (depending on configuration)
Error Handling¶
This workflow does not currently implement explicit error handling paths. The Guardrails node will handle errors according to its internal configuration and n8n's default error handling behavior.
Known Limitations¶
- The workflow is currently inactive (
"active": false) - No specific guardrails configuration is visible in the provided JSON
- Limited to manual execution only
- No error handling or retry mechanisms implemented
Related Workflows¶
No related workflows identified from the current context.
Setup Instructions¶
-
Import Workflow:
- Copy the workflow JSON
- In n8n, go to Workflows → Import from JSON
- Paste the JSON and save
-
Configure Guardrails Node:
- Open the Guardrails node
- Configure the specific guardrails rules, content filters, or validation logic needed
- Set up any required credentials for external AI services
-
Test the Workflow:
- Click "Execute workflow" to test the manual trigger
- Verify the Guardrails node processes input as expected
- Check the output for proper validation results
-
Activate Workflow (if needed for production use):
- Toggle the workflow to "Active" status
- Note: This workflow uses manual triggering, so activation mainly affects sharing and execution permissions
-
Optional Enhancements:
- Add error handling nodes for production use
- Configure specific input parameters for the Guardrails node
- Add additional processing nodes based on guardrails results