This workflow follows the Agent → Chainllm 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 →
{
"id": "badr10000000001",
"name": "bad-r10-llm-output-unvalidated",
"nodes": [
{
"parameters": {},
"id": "ca000000-0000-4000-8000-000000000001",
"name": "Manual",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"typeVersion": 1.2,
"position": [
0,
0
]
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.ticket }}",
"hasOutputParser": false,
"needsFallback": false,
"options": {
"maxIterations": 3
}
},
"id": "ca000000-0000-4000-8000-000000000002",
"name": "Classify",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
220,
0
]
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "id",
"value": "some-model"
},
"responsesApiEnabled": false,
"options": {
"timeout": 20000
}
},
"id": "ca000000-0000-4000-8000-000000000003",
"name": "Model A",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.3,
"position": [
160,
200
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "deepseek-chat",
"options": {
"timeout": 20000
}
},
"id": "ca000000-0000-4000-8000-000000000005",
"name": "Model B",
"type": "@n8n/n8n-nodes-langchain.lmChatDeepSeek",
"typeVersion": 1,
"position": [
160,
340
],
"credentials": {
"deepSeekApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.ticket }}",
"needsFallback": false
},
"id": "ca000000-0000-4000-8000-000000000006",
"name": "Second Chain",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.9,
"position": [
220,
340
]
},
{
"parameters": {
"operation": "executeQuery",
"query": "INSERT INTO triage_result (ticket_id, execution_id, category, urgency, summary, requires_human, provider) VALUES ($1, $2, $3, $4, $5, $6::boolean, $7) RETURNING id;",
"options": {
"queryReplacement": "={{ [$json.id, $execution.id, $json.output, 'normal', 'summary', false, 'primary'] }}"
}
},
"id": "ca000000-0000-4000-8000-000000000004",
"name": "Store Answer",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.7,
"position": [
440,
0
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Manual": {
"main": [
[
{
"node": "Classify",
"type": "main",
"index": 0
}
]
]
},
"Classify": {
"main": [
[
{
"node": "Store Answer",
"type": "main",
"index": 0
}
]
]
},
"Model A": {
"ai_languageModel": [
[
{
"node": "Classify",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Model B": {
"ai_languageModel": [
[
{
"node": "Second Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1",
"errorWorkflow": "errhandler0000001",
"timezone": "Australia/Brisbane"
},
"active": false
}
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.
deepSeekApiopenAiApipostgres
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About this workflow
bad-r10-llm-output-unvalidated. Uses executeWorkflowTrigger, agent, lmChatOpenAi, lmChatDeepSeek. Event-driven trigger; 6 nodes.
Source: https://github.com/jarrod-wright/n8n-workflow-hardening/blob/main/linter/fixtures/bad/r10-llm-output-unvalidated.workflow.json — original creator credit. Request a take-down →
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