Changement dynamique de modèle LLM
Avancé
Ceci est unEngineering, Building Blocks, AIworkflow d'automatisation du domainecontenant 22 nœuds.Utilise principalement des nœuds comme If, Set, Code, ChainLlm, ChatTrigger, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Commutation dynamique de LLM entre agents AI en utilisant du code LangChain
Prérequis
- •Clé API OpenAI
Nœuds utilisés (22)
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
"id": "dQC8kExvbCrovWf0",
"meta": {
"instanceId": "fb8bc2e315f7f03c97140b30aa454a27bc7883a19000fa1da6e6b571bf56ad6d",
"templateCredsSetupCompleted": true
},
"name": "Dynamically switch between LLMs Template",
"tags": [],
"nodes": [
{
"id": "962c4b29-c244-4d68-93e1-cacd41b436fc",
"name": "À la réception d'un message 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": "Changer de modèle",
"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
},
{
"id": "68511483-355b-45c1-915f-e7517c42b809",
"name": "Définir l'index LLM",
"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": "Incrémenter l'index LLM",
"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": "={{ $('Set LLM index').item.json.llm_index + 1 }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "eace2dd7-9550-47ba-a4c3-4f065f80757b",
"name": "Aucune opération, ne rien faire",
"type": "n8n-nodes-base.noOp",
"position": [
1640,
540
],
"parameters": {},
"typeVersion": 1
},
{
"id": "c1735d1c-5dc4-4bd5-9dde-3bb04b8811c3",
"name": "Vérifier l'erreur attendue",
"type": "n8n-nodes-base.if",
"position": [
1040,
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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": "Boucle terminée sans résultats",
"type": "n8n-nodes-base.set",
"position": [
1260,
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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": "Erreur inattendue",
"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": "Retourner le résultat",
"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": "={{ $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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],
"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": [
640,
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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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],
"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": "OpenAI Chat Model",
"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": "Valider la réponse",
"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": "Générer la réponse",
"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": "Note adhésive",
"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": "Note adhésive1",
"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": "Note adhésive2",
"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": "Note adhésive3",
"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": "Note adhésive4",
"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": "Note adhésive5",
"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": "Note adhésive6",
"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": "6fc4f336-09e3-4e79-94e9-e5eff04e4089",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"0693ac6a-fd1e-4a1f-b7be-bd4a1021b6c1": {
"ai_languageModel": [
[
{
"node": "6fc4f336-09e3-4e79-94e9-e5eff04e4089",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"6fc4f336-09e3-4e79-94e9-e5eff04e4089": {
"ai_outputParser": [
[]
],
"ai_languageModel": [
[
{
"node": "a7be0179-e246-4f75-8863-d03eefe9d8ac",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"68511483-355b-45c1-915f-e7517c42b809": {
"main": [
[
{
"node": "a7be0179-e246-4f75-8863-d03eefe9d8ac",
"type": "main",
"index": 0
}
]
]
},
"79da2795-800a-423d-ad5b-ec3b0498a5e6": {
"ai_languageModel": [
[
{
"node": "6fc4f336-09e3-4e79-94e9-e5eff04e4089",
"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
}
]
]
},
"f9fa467a-804d-4abf-84e3-06a88f9142b4": {
"ai_languageModel": [
[
{
"node": "7c6bf364-1844-484f-8a1c-1ff87286c686",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"7c6bf364-1844-484f-8a1c-1ff87286c686": {
"main": [
[
{
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"type": "main",
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}
],
[
{
"node": "adc2f24c-0ad6-4057-bb3b-b46563c72ee8",
"type": "main",
"index": 0
}
]
]
},
"adc2f24c-0ad6-4057-bb3b-b46563c72ee8": {
"main": [
[
{
"node": "eace2dd7-9550-47ba-a4c3-4f065f80757b",
"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
}
]
]
},
"eace2dd7-9550-47ba-a4c3-4f065f80757b": {
"main": [
[
{
"node": "68511483-355b-45c1-915f-e7517c42b809",
"type": "main",
"index": 0
}
]
]
},
"962c4b29-c244-4d68-93e1-cacd41b436fc": {
"main": [
[
{
"node": "68511483-355b-45c1-915f-e7517c42b809",
"type": "main",
"index": 0
}
]
]
}
}
}Foire aux questions
Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Ingénierie, Blocs de construction, Intelligence Artificielle
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds22
Catégorie3
Types de nœuds9
Description de la difficulté
Auteur
Mario
@octionicWorkflow Optimization Expert | Software Architect. Use my link to book an initial consultation for custom built workflows using n8n.
Liens externes
Voir sur n8n.io →
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