This workflow follows the Executecommand → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "MLOps Pipeline",
"nodes": [
{
"id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
100,
300
],
"parameters": {
"httpMethod": "POST",
"path": "start-pipeline",
"responseMode": "onReceived",
"options": {}
}
},
{
"id": "b2c3d4e5-f6a7-8901-bcde-f12345678901",
"name": "Prepare Dataset",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
350,
300
],
"parameters": {
"command": "=cd /workspace && DOCKER_API_VERSION=1.44 TRAIN_RECORDS={{ $('Webhook').item.json.body?.train_records ?? 20000 }} VAL_RECORDS={{ $('Webhook').item.json.body?.val_records ?? 2000 }} docker compose --profile prepare up --build"
},
"onError": "continueErrorOutput"
},
{
"id": "c3d4e5f6-a7b8-9012-cdef-123456789012",
"name": "Train Model",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
600,
300
],
"parameters": {
"command": "=cd /workspace && DOCKER_API_VERSION=1.44 EPOCHS={{ $('Webhook').item.json.body?.epochs ?? 5 }} BATCH_SIZE={{ $('Webhook').item.json.body?.batch_size ?? 32 }} THRESHOLD={{ $('Webhook').item.json.body?.threshold ?? 0.30 }} TRAIN_RECORDS={{ $('Webhook').item.json.body?.train_records ?? 20000 }} VAL_RECORDS={{ $('Webhook').item.json.body?.val_records ?? 2000 }} docker compose --profile train up --exit-code-from train"
},
"onError": "continueErrorOutput"
},
{
"id": "d4e5f6a7-b8c9-0123-defa-234567890123",
"name": "Extract run_id",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
850,
300
],
"parameters": {
"jsCode": "const stdout = $('Train Model').item.json.stdout || '';\nconst lines = stdout.trim().split('\\n').filter(l => l.trim() !== '');\nconst lastLine = lines[lines.length - 1];\n\nlet trainResult;\ntry {\n trainResult = JSON.parse(lastLine);\n} catch (e) {\n throw new Error(`Failed to parse train JSON from last stdout line: ${lastLine}\\n${e.message}`);\n}\n\nconst webhookBody = $('Webhook').item.json.body || {};\n\nreturn [{\n json: {\n run_id: trainResult.run_id,\n metric_value: trainResult.metric_value,\n status: trainResult.status,\n threshold: webhookBody.threshold ?? 0.30,\n epochs: webhookBody.epochs ?? 5,\n batch_size: webhookBody.batch_size ?? 32,\n git_sha: $runIndex !== undefined\n ? require('child_process').execSync('git -C /workspace rev-parse --short HEAD 2>/dev/null || echo unknown').toString().trim()\n : 'unknown',\n metadata_path: trainResult.metadata_path,\n export_dir: trainResult.export_dir\n }\n}];"
},
"onError": "continueErrorOutput"
},
{
"id": "e5f6a7b8-c9d0-1234-efab-345678901234",
"name": "Validate",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
1100,
300
],
"parameters": {
"command": "=cd /workspace && python3 pipeline/validate.py --run_id {{ $json.run_id }} --threshold {{ $json.threshold }}"
},
"onError": "continueErrorOutput"
},
{
"id": "f6a7b8c9-d0e1-2345-fabc-456789012345",
"name": "Publish",
"type": "n8n-nodes-base.executeCommand",
"typeVersion": 1,
"position": [
1350,
300
],
"parameters": {
"command": "=cd /workspace && python3 pipeline/publish.py --run_id {{ $json.run_id }} --git_sha {{ $json.git_sha }} --epochs {{ $json.epochs }} --threshold {{ $json.threshold }} --artifacts_dir artifacts"
},
"onError": "continueErrorOutput"
},
{
"id": "a7b8c9d0-e1f2-3456-abcd-567890123456",
"name": "Deploy",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1600,
300
],
"parameters": {
"method": "POST",
"url": "http://api:8000/reload",
"sendBody": true,
"contentType": "json",
"specifyBody": "json",
"jsonBody": "={{ JSON.stringify({ run_id: $('Extract run_id').item.json.run_id }) }}",
"options": {}
},
"onError": "continueErrorOutput"
},
{
"id": "b8c9d0e1-f2a3-4567-bcde-678901234567",
"name": "Notify Success",
"type": "n8n-nodes-base.set",
"typeVersion": 3.3,
"position": [
1850,
300
],
"parameters": {
"mode": "manual",
"duplicateItem": false,
"assignments": {
"assignments": [
{
"id": "assign-success-status",
"name": "pipeline_status",
"value": "success",
"type": "string"
},
{
"id": "assign-success-run-id",
"name": "run_id",
"value": "={{ $('Extract run_id').item.json.run_id }}",
"type": "string"
},
{
"id": "assign-success-metric",
"name": "metric_value",
"value": "={{ $('Extract run_id').item.json.metric_value }}",
"type": "number"
},
{
"id": "assign-success-message",
"name": "message",
"value": "={{ 'Pipeline completed successfully. Model ' + $('Extract run_id').item.json.run_id + ' deployed with val_token_accuracy=' + $('Extract run_id').item.json.metric_value }}",
"type": "string"
}
]
},
"options": {}
}
},
{
"id": "c9d0e1f2-a3b4-5678-cdef-789012345678",
"name": "Notify Failure",
"type": "n8n-nodes-base.set",
"typeVersion": 3.3,
"position": [
1100,
550
],
"parameters": {
"mode": "manual",
"duplicateItem": false,
"assignments": {
"assignments": [
{
"id": "assign-failure-status",
"name": "pipeline_status",
"value": "failed",
"type": "string"
},
{
"id": "assign-failure-error",
"name": "error",
"value": "={{ $json.error?.message ?? $json.stderr ?? 'Unknown error' }}",
"type": "string"
},
{
"id": "assign-failure-message",
"name": "message",
"value": "={{ 'Pipeline failed at stage: ' + $runIndex + '. Error: ' + ($json.error?.message ?? $json.stderr ?? 'Unknown error') }}",
"type": "string"
}
]
},
"options": {}
}
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "Prepare Dataset",
"type": "main",
"index": 0
}
]
]
},
"Prepare Dataset": {
"main": [
[
{
"node": "Train Model",
"type": "main",
"index": 0
}
],
[
{
"node": "Notify Failure",
"type": "main",
"index": 0
}
]
]
},
"Train Model": {
"main": [
[
{
"node": "Extract run_id",
"type": "main",
"index": 0
}
],
[
{
"node": "Notify Failure",
"type": "main",
"index": 0
}
]
]
},
"Extract run_id": {
"main": [
[
{
"node": "Validate",
"type": "main",
"index": 0
}
],
[
{
"node": "Notify Failure",
"type": "main",
"index": 0
}
]
]
},
"Validate": {
"main": [
[
{
"node": "Publish",
"type": "main",
"index": 0
}
],
[
{
"node": "Notify Failure",
"type": "main",
"index": 0
}
]
]
},
"Publish": {
"main": [
[
{
"node": "Deploy",
"type": "main",
"index": 0
}
],
[
{
"node": "Notify Failure",
"type": "main",
"index": 0
}
]
]
},
"Deploy": {
"main": [
[
{
"node": "Notify Success",
"type": "main",
"index": 0
}
],
[
{
"node": "Notify Failure",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1",
"saveManualExecutions": true,
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": ""
},
"id": "mlops-pipeline-001",
"meta": {
"templateCredsSetupCompleted": true
},
"tags": []
}
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About this workflow
MLOps Pipeline. Uses executeCommand, httpRequest. Webhook trigger; 9 nodes.
Source: https://github.com/moaraland/mlops-challenge/blob/37e7f7ce0fb08fce32141d2299cfc3d8cdfc4eb1/n8n/workflow.json — original creator credit. Request a take-down →
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