This workflow follows the Agent → OpenAI Chat recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "AI Regex Generator API",
"description": null,
"active": true,
"isArchived": false,
"nodes": [
{
"parameters": {
"path": "regex-api",
"responseMode": "responseNode",
"httpMethod": "POST",
"options": {
"responseHeaders": {
"entries": [
{
"name": "Access-Control-Allow-Origin",
"value": "*"
},
{
"name": "Access-Control-Allow-Headers",
"value": "Content-Type"
}
]
}
}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
250,
300
],
"id": "regex-api-wh",
"name": "Webhook"
},
{
"parameters": {
"promptType": "define",
"text": "=Generate a regex for the following request:\n\nDescription: {{ $json.body.description || \"No description provided\" }}\nPreferred Language: {{ $json.body.language || \"python\" }}\nUse Case: {{ $json.body.usecase || \"match\" }}",
"options": {
"systemMessage": "You are an expert regex engineer. Given a description of what the user wants to match, provide a comprehensive response with:\n\n1. **The Regex Pattern** - in a code block\n2. **Explanation** - break down each part of the regex clearly\n3. **Test Cases (Should Match)** - 3-5 examples that the regex correctly matches\n4. **Test Cases (Should NOT Match)** - 2-3 examples that the regex correctly rejects\n5. **Language-Specific Usage** - show how to use the regex in Python, JavaScript, and Java with actual code snippets\n\nKeep explanations clear, practical, and developer-friendly. Use markdown formatting. Always provide working, tested regex patterns.\n\nIf the user specifies a particular language, prioritize that language's syntax and idioms. If they specify a use case (match, validate, extract, replace), tailor the regex and examples accordingly."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
450,
300
],
"id": "regex-ai-agent",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
500,
500
],
"id": "regex-openai-model",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ JSON.stringify({ \"regex\": $json.output }) }}",
"options": {
"responseHeaders": {
"entries": [
{
"name": "Access-Control-Allow-Origin",
"value": "*"
},
{
"name": "Access-Control-Allow-Headers",
"value": "Content-Type"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
650,
300
],
"id": "regex-api-resp",
"name": "Respond to Webhook"
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1",
"callerPolicy": "workflowsFromSameOwner",
"availableInMCP": false
},
"staticData": null,
"meta": null,
"activeVersionId": "114b967d-f85a-4b0d-859f-37ab96ea2bd5",
"versionCounter": 3,
"triggerCount": 1,
"shared": [
{
"updatedAt": "2026-03-02T02:05:18.209Z",
"createdAt": "2026-03-02T02:05:18.209Z",
"role": "workflow:owner",
"workflowId": "EtcjeSjwWAHsfN08",
"projectId": "jISBlT19NO0fn5mT",
"project": {
"updatedAt": "2025-11-19T23:58:51.301Z",
"createdAt": "2025-11-19T23:57:07.759Z",
"id": "jISBlT19NO0fn5mT",
"name": "Armani Cunningham <hamstudios101@gmail.com>",
"type": "personal",
"icon": null,
"description": null,
"creatorId": "a8e49b89-e536-45ff-8330-fab9f0943ab1"
}
}
],
"tags": [],
"activeVersion": {
"updatedAt": "2026-03-02T02:05:18.236Z",
"createdAt": "2026-03-02T02:05:18.236Z",
"versionId": "114b967d-f85a-4b0d-859f-37ab96ea2bd5",
"workflowId": "EtcjeSjwWAHsfN08",
"nodes": [
{
"parameters": {
"path": "regex-api",
"responseMode": "responseNode",
"httpMethod": "POST",
"options": {
"responseHeaders": {
"entries": [
{
"name": "Access-Control-Allow-Origin",
"value": "*"
},
{
"name": "Access-Control-Allow-Headers",
"value": "Content-Type"
}
]
}
}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
250,
300
],
"id": "regex-api-wh",
"name": "Webhook",
"webhookId": "regex-api-1"
},
{
"parameters": {
"promptType": "define",
"text": "=Generate a regex for the following request:\n\nDescription: {{ $json.body.description || \"No description provided\" }}\nPreferred Language: {{ $json.body.language || \"python\" }}\nUse Case: {{ $json.body.usecase || \"match\" }}",
"options": {
"systemMessage": "You are an expert regex engineer. Given a description of what the user wants to match, provide a comprehensive response with:\n\n1. **The Regex Pattern** - in a code block\n2. **Explanation** - break down each part of the regex clearly\n3. **Test Cases (Should Match)** - 3-5 examples that the regex correctly matches\n4. **Test Cases (Should NOT Match)** - 2-3 examples that the regex correctly rejects\n5. **Language-Specific Usage** - show how to use the regex in Python, JavaScript, and Java with actual code snippets\n\nKeep explanations clear, practical, and developer-friendly. Use markdown formatting. Always provide working, tested regex patterns.\n\nIf the user specifies a particular language, prioritize that language's syntax and idioms. If they specify a use case (match, validate, extract, replace), tailor the regex and examples accordingly."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
450,
300
],
"id": "regex-ai-agent",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
500,
500
],
"id": "regex-openai-model",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"id": "xVvmBQ0k0B49oB4q",
"name": "n8n free OpenAI API credits"
}
}
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ JSON.stringify({ \"regex\": $json.output }) }}",
"options": {
"responseHeaders": {
"entries": [
{
"name": "Access-Control-Allow-Origin",
"value": "*"
},
{
"name": "Access-Control-Allow-Headers",
"value": "Content-Type"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
650,
300
],
"id": "regex-api-resp",
"name": "Respond to Webhook"
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
}
},
"authors": "Armani Cunningham",
"name": null,
"description": null,
"autosaved": false,
"workflowPublishHistory": [
{
"createdAt": "2026-03-02T02:05:18.834Z",
"id": 359,
"workflowId": "EtcjeSjwWAHsfN08",
"versionId": "114b967d-f85a-4b0d-859f-37ab96ea2bd5",
"event": "activated",
"userId": "a8e49b89-e536-45ff-8330-fab9f0943ab1"
}
]
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
openAiApi
Pro
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About this workflow
AI Regex Generator API. Uses agent, lmChatOpenAi. Webhook trigger; 4 nodes.
Source: https://github.com/mhmdmnsor292003-arch/free-ai-tools/blob/main/workflows/ai-regex-generator-api.json — original creator credit. Request a take-down →
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