Cambio dinámico de plantillas de LLM
Avanzado
Este es unEngineering, Building Blocks, AIflujo de automatización del dominio deautomatización que contiene 22 nodos.Utiliza principalmente nodos como If, Set, Code, ChainLlm, ChatTrigger, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Cambio dinámico de LLM entre agentes de IA utilizando código de LangChain
Requisitos previos
- •Clave de API de OpenAI
Nodos utilizados (22)
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
"id": "dQC8kExvbCrovWf0",
"meta": {
"instanceId": "fb8bc2e315f7f03c97140b30aa454a27bc7883a19000fa1da6e6b571bf56ad6d",
"templateCredsSetupCompleted": true
},
"name": "Dynamically switch between LLMs Template",
"tags": [],
"nodes": [
{
"id": "962c4b29-c244-4d68-93e1-cacd41b436fc",
"name": "Al recibir mensaje de chat",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
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],
"webhookId": "713a7f98-0e3d-4eb7-aafa-599ca627c8b4",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "6fc4f336-09e3-4e79-94e9-e5eff04e4089",
"name": "Interruptor Model",
"type": "@n8n/n8n-nodes-langchain.code",
"position": [
540,
320
],
"parameters": {
"code": {
"supplyData": {
"code": "let llms = await this.getInputConnectionData('ai_languageModel', 0);\nllms.reverse(); // reverse array, so the order matches the UI elements\n\nconst llm_index = $input.item.json.llm_index;\nif (!Number.isInteger(llm_index)) {\n console.log(\"'llm_index' is udefined or not a valid integer\");\n throw new Error(\"'llm_index' is udefined or not a valid integer\");\n}\n\nif(typeof llms[llm_index] === 'undefined') {\n console.log(`No LLM found with index ${llm_index}`);\n throw new Error(`No LLM found with index ${llm_index}`);\n}\n\nreturn llms[llm_index];"
}
},
"inputs": {
"input": [
{
"type": "ai_languageModel",
"required": true
}
]
},
"outputs": {
"output": [
{
"type": "ai_languageModel"
}
]
}
},
"typeVersion": 1
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{
"id": "68511483-355b-45c1-915f-e7517c42b809",
"name": "Establecer LLM index",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "24b4d30e-484a-4cc1-a691-0653ed764296",
"name": "llm_index",
"type": "number",
"value": "={{ $json.llm_index || 0 }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "adc2f24c-0ad6-4057-bb3b-b46563c72ee8",
"name": "Increase LLM index",
"type": "n8n-nodes-base.set",
"position": [
1420,
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "24b4d30e-484a-4cc1-a691-0653ed764296",
"name": "llm_index",
"type": "number",
"value": "={{ $('Set LLM index').item.json.llm_index + 1 }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "eace2dd7-9550-47ba-a4c3-4f065f80757b",
"name": "Sin operación, do nothing",
"type": "n8n-nodes-base.noOp",
"position": [
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],
"parameters": {},
"typeVersion": 1
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{
"id": "c1735d1c-5dc4-4bd5-9dde-3bb04b8811c3",
"name": "Check for expected error",
"type": "n8n-nodes-base.if",
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],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "3253e1f2-172e-4af4-a492-3b9c6e9e4797",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.error }}",
"rightValue": "Error in sub-node Switch Model"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "4a259078-aa74-4725-9e91-d2775bbd577f",
"name": "Loop finished without results",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b352627d-d692-47f8-8f8c-885b68073843",
"name": "output",
"type": "string",
"value": "The loop finished without a satisfying result"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "3b527ed3-a700-403d-8e3c-d0d55a83c9ea",
"name": "Unexpected error",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b352627d-d692-47f8-8f8c-885b68073843",
"name": "output",
"type": "string",
"value": "An unexpected error happened"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2a48a244-25ab-4330-9e89-3f8a52b7fd0a",
"name": "Return result",
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b352627d-d692-47f8-8f8c-885b68073843",
"name": "output",
"type": "string",
"value": "={{ $json.text || $json.output }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "79da2795-800a-423d-ad5b-ec3b0498a5e6",
"name": "OpenAI 4o-mini",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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580
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "X7Jf0zECd3IkQdSw",
"name": "OpenAi (octionicsolutions)"
}
},
"typeVersion": 1.2
},
{
"id": "c5884632-4f21-4e1e-a86d-77e3b18119b9",
"name": "OpenAI 4o",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "gpt-4o"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "X7Jf0zECd3IkQdSw",
"name": "OpenAi (octionicsolutions)"
}
},
"typeVersion": 1.2
},
{
"id": "0693ac6a-fd1e-4a1f-b7be-bd4a1021b6c1",
"name": "OpenAI o1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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580
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "o1",
"cachedResultName": "o1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "X7Jf0zECd3IkQdSw",
"name": "OpenAi (octionicsolutions)"
}
},
"typeVersion": 1.2
},
{
"id": "f9fa467a-804d-4abf-84e3-06a88f9142b4",
"name": "Modelo de chat OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1100,
-100
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "X7Jf0zECd3IkQdSw",
"name": "OpenAi (octionicsolutions)"
}
},
"typeVersion": 1.2
},
{
"id": "7c6bf364-1844-484f-8a1c-1ff87286c686",
"name": "Validate response",
"type": "@n8n/n8n-nodes-langchain.sentimentAnalysis",
"position": [
1040,
-300
],
"parameters": {
"options": {
"categories": "pass, fail",
"systemPromptTemplate": "You are a highly intelligent and accurate sentiment analyzer. Analyze the sentiment of the provided text. Categorize it into one of the following: {categories}. Use the provided formatting instructions. Only output the JSON.\n\n> Evaluate the following customer support response. Give a short JSON answer with a field “quality”: “pass” or “fail”. Only return “pass” if the response:\n\n1. Acknowledges both the broken keyboard and the late delivery \n2. Uses a polite and empathetic tone \n3. Offers a clear resolution or next step (like refund, replacement, or contact support)"
},
"inputText": "={{ $json.text }}"
},
"typeVersion": 1
},
{
"id": "a7be0179-e246-4f75-8863-d03eefe9d8ac",
"name": "Generate response",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"onError": "continueErrorOutput",
"position": [
660,
80
],
"parameters": {
"text": "={{ $('When chat message received').item.json.chatInput }}",
"messages": {
"messageValues": [
{
"message": "=You’re an AI assistant replying to a customer who is upset about a faulty product and late delivery. The customer uses sarcasm and is vague. Write a short, polite response, offering help."
}
]
},
"promptType": "define"
},
"retryOnFail": false,
"typeVersion": 1.6
},
{
"id": "273f4025-2aeb-4a67-859a-690a3a086f82",
"name": "Nota adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
-160
],
"parameters": {
"width": 480,
"height": 140,
"content": "### Customer complaint - example\n\nI really *love* waiting two weeks just to get a keyboard that doesn’t even work. Great job. Any chance I could actually use the thing I paid for sometime this month?"
},
"typeVersion": 1
},
{
"id": "a7806fab-fdc2-4feb-be53-fcea81ede105",
"name": "Nota adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
0
],
"parameters": {
"color": 7,
"width": 220,
"height": 240,
"content": "Defines the LLM node by index which should be used."
},
"typeVersion": 1
},
{
"id": "0117d8d8-672e-458a-a9dd-30b50e05f343",
"name": "Nota adhesiva2",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
240
],
"parameters": {
"color": 7,
"width": 380,
"height": 200,
"content": "Dynamically connects the LLM by the index provided in the previous node."
},
"typeVersion": 1
},
{
"id": "66066bad-4fd3-4e68-88bb-0b95fd9a6e49",
"name": "Nota adhesiva3",
"type": "n8n-nodes-base.stickyNote",
"position": [
980,
60
],
"parameters": {
"color": 7,
"width": 220,
"height": 260,
"content": "Check if LangChain Code Node ran into error. _Currently only supports error output from main Node_"
},
"typeVersion": 1
},
{
"id": "b9101226-0035-4de3-8720-f783d13e0cca",
"name": "Nota adhesiva4",
"type": "n8n-nodes-base.stickyNote",
"position": [
600,
0
],
"parameters": {
"color": 7,
"width": 380,
"height": 240,
"content": "Generates a polite answer based on the customers complaint."
},
"typeVersion": 1
},
{
"id": "ee7d70ee-2eb7-494f-ad74-2cb6108ba0ed",
"name": "Nota adhesiva5",
"type": "n8n-nodes-base.stickyNote",
"position": [
980,
-360
],
"parameters": {
"color": 7,
"width": 380,
"height": 220,
"content": "Analyses the generated answer by certain criteria"
},
"typeVersion": 1
},
{
"id": "03bde6f5-27b1-4568-96fb-5ece77d7b2e5",
"name": "Nota adhesiva6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1360,
-280
],
"parameters": {
"color": 7,
"width": 220,
"height": 240,
"content": "Increases the index to choose the next available LLM on the next run"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "52381ffc-bdf4-4243-bc35-462dedb929bd",
"connections": {
"c5884632-4f21-4e1e-a86d-77e3b18119b9": {
"ai_languageModel": [
[
{
"node": "Switch Model",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"0693ac6a-fd1e-4a1f-b7be-bd4a1021b6c1": {
"ai_languageModel": [
[
{
"node": "Switch Model",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Switch Model": {
"ai_outputParser": [
[]
],
"ai_languageModel": [
[
{
"node": "a7be0179-e246-4f75-8863-d03eefe9d8ac",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Set LLM index": {
"main": [
[
{
"node": "a7be0179-e246-4f75-8863-d03eefe9d8ac",
"type": "main",
"index": 0
}
]
]
},
"79da2795-800a-423d-ad5b-ec3b0498a5e6": {
"ai_languageModel": [
[
{
"node": "Switch Model",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"a7be0179-e246-4f75-8863-d03eefe9d8ac": {
"main": [
[
{
"node": "7c6bf364-1844-484f-8a1c-1ff87286c686",
"type": "main",
"index": 0
}
],
[
{
"node": "c1735d1c-5dc4-4bd5-9dde-3bb04b8811c3",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "7c6bf364-1844-484f-8a1c-1ff87286c686",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"7c6bf364-1844-484f-8a1c-1ff87286c686": {
"main": [
[
{
"node": "2a48a244-25ab-4330-9e89-3f8a52b7fd0a",
"type": "main",
"index": 0
}
],
[
{
"node": "adc2f24c-0ad6-4057-bb3b-b46563c72ee8",
"type": "main",
"index": 0
}
]
]
},
"adc2f24c-0ad6-4057-bb3b-b46563c72ee8": {
"main": [
[
{
"node": "No Operation, do nothing",
"type": "main",
"index": 0
}
]
]
},
"c1735d1c-5dc4-4bd5-9dde-3bb04b8811c3": {
"main": [
[
{
"node": "4a259078-aa74-4725-9e91-d2775bbd577f",
"type": "main",
"index": 0
}
],
[
{
"node": "3b527ed3-a700-403d-8e3c-d0d55a83c9ea",
"type": "main",
"index": 0
}
]
]
},
"No Operation, do nothing": {
"main": [
[
{
"node": "Set LLM index",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Set LLM index",
"type": "main",
"index": 0
}
]
]
}
}
}Preguntas frecuentes
¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Avanzado - Ingeniería, Bloques de construcción, Inteligencia Artificial
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos22
Categoría3
Tipos de nodos9
Descripción de la dificultad
Autor
Mario
@octionicWorkflow Optimization Expert | Software Architect. Use my link to book an initial consultation for custom built workflows using n8n.
Enlaces externos
Ver en n8n.io →
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