This workflow follows the Agent → Form Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "pd_automacao_n8n_fluxo_principal",
"nodes": [
{
"parameters": {
"formTitle": "Resumo de not\u00edcias",
"formDescription": "Receba um resumo das principais not\u00edcias do assunto desejado! (A quantidade de not\u00edcias foi limitada manualmente a 5 not\u00edcias, a fim de evitar esgostar os tokens do LLM).",
"formFields": {
"values": [
{
"fieldLabel": "Assunto desejado:",
"requiredField": true
},
{
"fieldLabel": "Data de in\u00edcio das not\u00edcias:",
"fieldType": "date",
"requiredField": true
},
{
"fieldLabel": "Data final das not\u00edcias",
"fieldType": "date",
"requiredField": true
},
{
"fieldLabel": "Escolha em qual local a pesquisa deve ser realizada:",
"fieldType": "radio",
"defaultValue": "Internet",
"fieldOptions": {
"values": [
{
"option": "Internet"
},
{
"option": "Base vetorial"
},
{
"option": "Internet e base vetorial"
}
]
},
"requiredField": true
},
{
"fieldLabel": "E-mail",
"requiredField": true
}
]
},
"options": {}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.5,
"position": [
928,
336
],
"id": "a5016071-cfd2-4d96-b2ae-b822cbf2c4f8",
"name": "On form submission"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "273f03d1-d1eb-4c4f-950f-0c88174e0dbf",
"leftValue": "={{ $json.articles }}",
"rightValue": "",
"operator": {
"type": "array",
"operation": "notEmpty",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.3,
"position": [
1776,
32
],
"id": "5b6006b3-2359-4378-a5cb-304b0d0f050a",
"name": "If"
},
{
"parameters": {
"batchSize": "=1",
"options": {
"reset": false
}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
2192,
96
],
"id": "727f9cbe-d49b-4a1a-8556-54a3e2421901",
"name": "Loop Over Items",
"alwaysOutputData": false
},
{
"parameters": {
"errorMessage": "Erro na resposta do servidor! A API fica inativa ap\u00f3s 15 minutos sem uso. Tente novamente!"
},
"type": "n8n-nodes-base.stopAndError",
"typeVersion": 1,
"position": [
1776,
272
],
"id": "3165d248-a197-4a62-a07d-8ab4a1bdc9b0",
"name": "Stop and Error"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "1eec4e98-ab1d-434f-b0e0-39d096d2de42",
"name": "Assunto desejado:",
"value": "={{ $json['Assunto desejado:'].trim().toLowerCase() }}",
"type": "string"
},
{
"id": "a7321e2d-9f76-4e9b-ba7a-3c7543a9ad3a",
"name": "Escolha em qual local a pesquisa deve ser realizada:",
"value": "={{ $json['Escolha em qual local a pesquisa deve ser realizada:'].trim().toLowerCase() }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1104,
336
],
"id": "78130eea-a3a6-4b48-bce1-85dd4815c7ad",
"name": "Edit Fields"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "740a032d-7a97-4ae4-88ce-2b29fa4d5fd4",
"leftValue": "={{ $json['Escolha em qual local a pesquisa deve ser realizada:'] }}",
"rightValue": "internet",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"looseTypeValidation": "={{ false }}",
"options": {}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.3,
"position": [
1328,
224
],
"id": "5443e113-2be4-4dee-aebf-faa4eb12341f",
"name": "Filter internet"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 3
},
"conditions": [
{
"id": "0baf6e32-4537-48a6-87ee-afc2d4fee89d",
"leftValue": "={{ $json['Escolha em qual local a pesquisa deve ser realizada:'] }}",
"rightValue": "base vetorial",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.3,
"position": [
1312,
496
],
"id": "2f955fd9-5681-48a2-9f4e-401ac9a935b8",
"name": "Filter base vetorial"
},
{
"parameters": {},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
2352,
464
],
"id": "c4496c82-354d-4a61-87c1-549667759e7e",
"name": "Merge",
"alwaysOutputData": true
},
{
"parameters": {
"content": "## Fluxo de busca e resumo de not\u00edcias na internet\n",
"height": 480,
"width": 1536
},
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
-80
],
"typeVersion": 1,
"id": "ee08e1c7-e649-413b-a732-0ecdfdf995db",
"name": "Sticky Note"
},
{
"parameters": {
"content": "## Fluxo de busca e resumo de not\u00edcias na base vetorial\n",
"height": 624,
"width": 1536,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
400
],
"typeVersion": 1,
"id": "3443d155-8f73-4d98-b8ab-ced43db85bdc",
"name": "Sticky Note1"
},
{
"parameters": {
"content": "## Fluxo de captura e edi\u00e7\u00e3o de dados do usu\u00e1rio\n",
"height": 1104,
"width": 400,
"color": 5
},
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
-80
],
"typeVersion": 1,
"id": "e3191645-da5c-4980-9d65-cc8d0b9b7797",
"name": "Sticky Note4"
},
{
"parameters": {
"language": "pythonNative",
"pythonCode": "result = [{\"output\": \n\"```json\\n{\\n \\\"output\\\": \\\"N\u00e3o foram encontradas not\u00edcias sobre o assunto informado na API de not\u00edcias! [1] \\\",\\n \\\"title\\\": \\\"\\\", \\n \\\"url\\\": \\\"\\\",\\n \\\"id\\\": \\\"\\\"\\n}\\n```\"}]\n\nreturn result"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2112,
-48
],
"id": "87b44c76-e8fc-4eb0-8a2f-78d9986db0a9",
"name": "Code in Python - not\u00edcias n\u00e3o encontradas"
},
{
"parameters": {
"language": "pythonNative",
"pythonCode": "# Loop over input items and add a new field called 'my_new_field' to the JSON of each one\narticles = _items[0][\"json\"][\"articles\"]\n\nfor item in range(0,len(articles)-1):\n articles[item][\"source\"][\"id\"] = item + 1 \n \nresult = [{\"json\": article} for article in articles]\n\nreturn result[:9]"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2000,
96
],
"id": "3f73ae37-8b9b-4049-99c7-0c0413b95a39",
"name": "Code in Python - not\u00edcias encontradas"
},
{
"parameters": {
"promptType": "define",
"text": "=Voc\u00ea receber\u00e1 uma palavra ou frase e precisar\u00e1 encontrar informa\u00e7\u00f5es sobre ela no banco de dados e retornar um resumo. A consulta no banco de dados ser\u00e1 feita usando a ferramento MCP Clieent. A palavra ou frase \u00e9 a seguinte: {{ $('On form submission').item.json['Assunto desejado:'] }}. No resultado final, n\u00e3o quero formata\u00e7\u00e3o como negrito ou it\u00e1lico, nem linhas e par\u00e1grafos em branco. O conte\u00fado deve estar em apenas um par\u00e1grafo e em texto simples. Se voc\u00ea n\u00e3o encontrou o assunto, informe a mensagem \"Desculpe, o assunto n\u00e3o foi encontrado.\".",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
1600,
512
],
"id": "7062956e-6cc9-4ff0-931b-6e3a78ca9948",
"name": "AI Agent - busca e resumo no banco vetorial"
},
{
"parameters": {
"model": "openai/gpt-oss-safeguard-20b",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
2400,
288
],
"id": "e0f9b65b-853a-41e9-8f31-51b8f178501d",
"name": "Groq Chat Model - resumo de not\u00edcias da internet",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "openai/gpt-oss-120b",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
1600,
672
],
"id": "dc7b5c81-0561-472b-ab1a-9ed9a2cfb4ee",
"name": "Groq Chat Model - busca e resumo no banco vetorial",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "=Voc\u00ea ir\u00e1 receber uma not\u00edcia e ter\u00e1 que fazer um resumo de pelo menos 4 linhas e colocar, no final do resumo, o n\u00famero da not\u00edcia entre colchetes, por exemplo, [1]. O n\u00famero da not\u00edcia deve ser inclu\u00eddo sempre ao final do resumo. Aqui est\u00e1 a not\u00edcia: {{ $json.content }} e aqui est\u00e1 o n\u00famero da not\u00edcia: {{ $json.source.id }} O resultado final deve ser um arquivo json, onde a chave \"output\" ter\u00e1 o resumo realizado, a chave \"title\" tem o t\u00edtulo que est\u00e1 em {{ $json.title }}, a chave \"url\" tem a URL que est\u00e1 me {{ $json.url }} e a chave \"id\" que est\u00e1 em {{ $json.source.id }}. Elimine as quebras de linhas por ventura existentes no resultado final.",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
2400,
112
],
"id": "8bfbbf7d-c75a-4c53-9a35-55f61ca30b69",
"name": "AI Agent - resumo de not\u00edcias da internet",
"retryOnFail": true,
"maxTries": 5
},
{
"parameters": {
"method": "POST",
"url": "https://pd-fundamentos-n8n.onrender.com/busca",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "assunto",
"value": "={{ $json['Assunto desejado:'] }}"
},
{
"name": "data_ini",
"value": "={{ $('On form submission').item.json['Data de in\u00edcio das not\u00edcias:'] }}"
},
{
"name": "data_fim",
"value": "={{ $('On form submission').item.json['Data final das not\u00edcias'] }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
1584,
192
],
"id": "f1f11abf-2cac-4385-a506-56425005d327",
"name": "HTTP Request - busca as not\u00edcias na internet",
"retryOnFail": true,
"maxTries": 5,
"waitBetweenTries": 3000,
"onError": "continueErrorOutput"
},
{
"parameters": {
"language": "pythonNative",
"pythonCode": "raw_text = _items[0][\"json\"][\"output\"]\n\nsafe_text = raw_text.replace('\"', '\\\\\"').replace('\\n', '\\\\n').replace('\\r', '')\n\nresult = [{\"output\": \n\"```json\\n{\\n \\\"output\\\": \\\"\" + safe_text + \" [n.a.] \\\",\\n \\\"title\\\": \\\"Base de dados vetorial no Supabase.\\\", \\n \\\"url\\\": \\\"\\\",\\n \\\"id\\\": \\\"n.a.\\\"\\n}\\n```\"}]\n\nreturn result\n# return [{\"json\": {\"output\": _items[0][\"json\"][\"output\"]}}]"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1952,
480
],
"id": "424cf587-ee92-45f1-b368-ad0383167058",
"name": "Code in Python - gerar array de json"
},
{
"parameters": {
"endpointUrl": "https://kleberga1-145.app.n8n.cloud/mcp/0ae7788b-5830-4509-be59-bd9ac13b95cf",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.mcpClientTool",
"typeVersion": 1.2,
"position": [
1856,
688
],
"id": "0da6e946-cb0d-44f7-a5aa-77ee3b57960a",
"name": "MCP Client"
},
{
"parameters": {
"workflowId": {
"__rl": true,
"value": "vXCYcGGRWTS39V2l",
"mode": "id",
"cachedResultUrl": "/workflow/vXCYcGGRWTS39V2l"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {},
"matchingColumns": [],
"schema": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
},
"options": {
"waitForSubWorkflow": true
}
},
"type": "n8n-nodes-base.executeWorkflow",
"typeVersion": 1.3,
"position": [
3088,
688
],
"id": "7c0fcf0b-dd51-4ada-af38-748d8f114f9c",
"name": "Call 'pd_automacao_n8n_relatorio'"
},
{
"parameters": {
"language": "pythonNative",
"pythonCode": "lista_auxiliar = []\n\nlista_referencias = []\n\nfor item in _items:\n \n dados = item.get('json', item) \n\n if 'output' in dados:\n \n string = dados['output'] \n \n lista_auxiliar.append(string)\n\n if dados[\"id\"]:\n\n lista_referencias.append(\"[\" + str(dados[\"id\"]) + \"] \" + dados[\"title\"] + \"\\n\" + dados[\"url\"])\n\n else:\n\n lista_referencias.append(\"[1] N\u00e3o h\u00e1 not\u00edcias sobre o assunto.\")\n\nif not lista_auxiliar:\n return {\n \"erro\": \"Nenhum campo 'output' encontrado\",\n \"debug_estrutura_recebida\": _items[0] if _items else \"Sem itens de entrada\"\n }\n\nmerged_auxiliar = \"\\n\".join(lista_auxiliar)\nmerged_referencias = \"\\n\".join(lista_referencias)\n\nreturn {\n \"lista_consolidada\": merged_auxiliar,\n \"lista_referencias\":merged_referencias\n}"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
3184,
-16
],
"id": "86cdf16c-e5d1-4a9c-9fc0-ac6f5129dc14",
"name": "Code in Python - unir as not\u00edcias"
},
{
"parameters": {
"html": "<!DOCTYPE html>\n\n<html>\n<head>\n <meta charset=\"UTF-8\" />\n <title>My HTML document</title>\n</head>\n<body>\n <div class=\"container\">\n <h3 style=\"text-align: left;\">Assunto: {{ $('On form submission').first().json['Assunto desejado:'] }}</h3>\n <h3 style=\"text-align: left;\">Data inicial: {{ $('On form submission').first().json['Data de in\u00edcio das not\u00edcias:'] }}</h3>\n <h3 style=\"text-align: left;\">Data final: {{ $('On form submission').first().json['Data final das not\u00edcias'] }}</h3>\n <br>\n <h3 style=\"font-weight: bold;\">Resumo</h3>\n <br>\n <p style=\"text-align: justify; white-space: pre-line;\">{{ $('Code in Python - unir as not\u00edcias').item.json.lista_consolidada }}</p>\n <br>\n <p style=\"text-align: left; font-weight: bold;\">Refer\u00eancias:</p>\n <br>\n <p style=\"text-align: justify; white-space: pre-line;\">{{ $('Code in Python - unir as not\u00edcias').item.json.lista_referencias }}</p>\n </div>\n</body>\n</html>\n\n<style>\n.container {\n background-color: #ffffff;\n text-align: center;\n padding: 16px;\n border-radius: 8px;\n}\n\nh1 {\n color: #ff6d5a;\n font-size: 24px;\n font-weight: bold;\n padding: 8px;\n}\n\nh2 {\n color: #909399;\n font-size: 18px;\n font-weight: bold;\n padding: 8px;\n}\n</style>\n\n<script>\nconsole.log(\"Hello World!\");\n</script>"
},
"type": "n8n-nodes-base.html",
"typeVersion": 1.2,
"position": [
3088,
192
],
"id": "f9f95afb-a3b8-4af0-8706-d178585d2e4d",
"name": "HTML"
},
{
"parameters": {
"jsCode": "// 1. Acessa todos os itens que chegaram no n\u00f3\nconst allItems = $input.all(); \n\n// 2. Mapeia a lista transformando as strings em objetos\nconst processedItems = allItems.map(item => {\n try {\n let rawOutput = item.json.output;\n\n const jsonString = rawOutput\n .replace(/```json\\n/g, \"\")\n .replace(/```/g, \"\")\n .trim();\n\n const parsedData = JSON.parse(jsonString);\n\n return {\n json: parsedData\n };\n } catch (error) {\n return {\n json: { \n error: \"Falha ao converter item\", \n raw: item.json.output \n }\n };\n }\n});\n\nreturn processedItems;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2928,
-16
],
"id": "66724faa-f2b8-4b81-ad31-4353abc76c7c",
"name": "Code in JavaScript"
},
{
"parameters": {
"content": "## Fluxo de gera\u00e7\u00e3o do relat\u00f3rio",
"height": 480,
"width": 576,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"position": [
2816,
-80
],
"typeVersion": 1,
"id": "5849bb51-0110-4811-8db5-47e1710f21a3",
"name": "Sticky Note2"
},
{
"parameters": {
"content": "## Fluxo de envio do relat\u00f3rio",
"height": 624,
"width": 576,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"position": [
2816,
400
],
"typeVersion": 1,
"id": "12976b9a-274a-4d5d-8fda-78f83027acee",
"name": "Sticky Note3"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "75551e43-9d66-4f65-b488-3a6a1ebbdd17",
"name": "html",
"value": "={{ $json.html }}",
"type": "string"
},
{
"id": "d520c739-9ffb-4cfb-81a6-010807addf45",
"name": "E-mail",
"value": "={{ $('On form submission').item.json['E-mail'] }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
3088,
480
],
"id": "8f7c1948-c14b-496f-8487-c79706efd05d",
"name": "Edit Fields - relat\u00f3rio"
}
],
"connections": {
"On form submission": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Code in Python - not\u00edcias encontradas",
"type": "main",
"index": 0
}
],
[
{
"node": "Code in Python - not\u00edcias n\u00e3o encontradas",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
],
[
{
"node": "AI Agent - resumo de not\u00edcias da internet",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Filter internet",
"type": "main",
"index": 0
},
{
"node": "Filter base vetorial",
"type": "main",
"index": 0
}
]
]
},
"Filter internet": {
"main": [
[
{
"node": "HTTP Request - busca as not\u00edcias na internet",
"type": "main",
"index": 0
}
]
]
},
"Filter base vetorial": {
"main": [
[
{
"node": "AI Agent - busca e resumo no banco vetorial",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Code in JavaScript",
"type": "main",
"index": 0
}
]
]
},
"Code in Python - not\u00edcias n\u00e3o encontradas": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Code in Python - not\u00edcias encontradas": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"AI Agent - busca e resumo no banco vetorial": {
"main": [
[
{
"node": "Code in Python - gerar array de json",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model - resumo de not\u00edcias da internet": {
"ai_languageModel": [
[
{
"node": "AI Agent - resumo de not\u00edcias da internet",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Groq Chat Model - busca e resumo no banco vetorial": {
"ai_languageModel": [
[
{
"node": "AI Agent - busca e resumo no banco vetorial",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"AI Agent - resumo de not\u00edcias da internet": {
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{
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}
]
]
},
"HTTP Request - busca as not\u00edcias na internet": {
"main": [
[
{
"node": "If",
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],
[
{
"node": "Stop and Error",
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}
]
]
},
"Code in Python - gerar array de json": {
"main": [
[
{
"node": "Merge",
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}
]
]
},
"MCP Client": {
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[
{
"node": "AI Agent - busca e resumo no banco vetorial",
"type": "ai_tool",
"index": 0
}
]
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},
"Code in Python - unir as not\u00edcias": {
"main": [
[
{
"node": "HTML",
"type": "main",
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]
},
"Code in JavaScript": {
"main": [
[
{
"node": "Code in Python - unir as not\u00edcias",
"type": "main",
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}
]
]
},
"HTML": {
"main": [
[
{
"node": "Edit Fields - relat\u00f3rio",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields - relat\u00f3rio": {
"main": [
[
{
"node": "Call 'pd_automacao_n8n_relatorio'",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate",
"availableInMCP": true,
"timeSavedMode": "fixed",
"callerPolicy": "workflowsFromSameOwner"
},
"versionId": "2f1f309f-375a-494b-9fb1-62b0bee31494",
"meta": {
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"id": "a3kbAlomghcPiwi3",
"tags": []
}
Credentials you'll need
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groqApi
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About this workflow
pd_automacao_n8n_fluxo_principal. Uses formTrigger, stopAndError, agent, lmChatGroq. Event-driven trigger; 27 nodes.
Source: https://github.com/kleberga/pd_automacao_n8n/blob/c295aae25a4598d3089c2da67d1fec1984366b02/pd_automacao_n8n_fluxo_principal.json — original creator credit. Request a take-down →
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