Introduction
Combining the OpenAI GPT API via Wisdom-Gate with n8n offers automation engineers, growth teams, and content teams a powerful toolkit to streamline repetitive tasks.
GPT API delivers high-quality language completion and transformation, while n8n is an open-source automation tool that can trigger, process, and route data between services.
By connecting them, you can achieve efficient end-to-end automation for content generation, image annotation, and text classification.
Prerequisites
Before starting, ensure you have:
- An API key from Wisdom-Gate
- n8n installed and running locally or on a server
- Basic understanding of workflow nodes and automation triggers
Step 1: Connect n8n to GPT API
Create an HTTP Request Node
In n8n, add an HTTP Request node.
- Method: POST
- URL:
https://wisdom-gate.juheapi.com/v1/chat/completions - Headers:
- Authorization: YOUR_API_KEY
- Content-Type: application/json
- Accept: /
- Host: wisdom-gate.juheapi.com
- Connection: keep-alive
Payload Example
Use the following structure:
{
"model": "gpt-5.1",
"messages": [
{
"role": "user",
"content": "Hello, how can you help me today?"
}
]
}
Replace the message content with your specific prompt and adjust as needed.
Step 2: Build a Workflow
Use Cases
- Content Generation: Marketing copy, blog outlines, product descriptions
- Image Annotation: Generate labels or captions based on metadata
- Text Classification: Assign categories to incoming content
Nodes Overview
- Trigger Node: Webhook, Schedule, or Manual trigger
- HTTP Request Node: Connects to GPT API
- Processing Nodes: Set data fields, transform responses, store results in database or send to other APIs
Step 3: Import Ready-Made Workflow JSON
We’ve prepared a JSON file that can be imported directly into n8n.
Highlights
- Configured for text generation, annotation, and classification
- Only requires replacing the API key in the HTTP Request node
Testing in n8n
After import:
- Replace the placeholder API key
- Execute workflow manually
- Review output to confirm desired results
Step 4: Advanced Integration
Branching Logic
Create multiple GPT prompts for various tasks and direct outputs to separate paths in n8n using IF or Switch nodes.
Error Handling
Add status checks for HTTP response codes. Implement retry logic if the API times out or returns an error.
Step 5: Cost Optimization
Pricing Comparison
| Model | OpenRouter (Input/Output) | Wisdom-Gate (Input/Output) | Savings |
|---|---|---|---|
| GPT-5 | $1.25 / $10.00 | $1.00 / $8.00 | ~20% |
| Claude Sonnet 4 | $3.00 / $15.00 | $2.00 / $10.00 | ~30% |
| gpt-5.1 | $2.00 / $10.00 | $1.00 / $8.00 | ~20% |
Selecting gpt-5.1 yields balanced performance and cost efficiency.
Step 6: Real-World Examples
Growth Team
Automate campaign copy creation for emails, ads, and social posts.
Content Team
Generate SEO-friendly descriptions and headings for large content libraries.
Automation Engineers
Integrate GPT classification outputs directly into tagging and data enrichment pipelines.
Step 7: Deploy and Maintain
Monitoring
Log incoming prompts and GPT responses for quality assurance.
Updates
Swap GPT models when newer, more efficient versions become available.
Scaling
Run multiple instances or parallel executions in n8n to handle high-volume workloads.
Resources
- AI Studio
- Model Info
- Endpoint Example provided earlier for quick setup
With this integration, teams unlock streamlined, AI-powered workflows that scale effortlessly across different business needs.