Exemple d'appel en chaîne de LLM
Avancé
Ceci est unBuilding Blocks, AIworkflow d'automatisation du domainecontenant 38 nœuds.Utilise principalement des nœuds comme Set, Merge, Webhook, Markdown, SplitOut, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Comparer le traitement séquentiel, multi-agent et parallèle des LLM avec Claude 3.7
Prérequis
- •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Clé API Anthropic
Nœuds utilisés (38)
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": "43gMd18arOcxqDcC",
"meta": {
"instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a",
"templateCredsSetupCompleted": true
},
"name": "LLM Chaining examples",
"tags": [],
"nodes": [
{
"id": "35e53ce7-06b4-47ca-b7f3-b147bd059fcf",
"name": "Lors du clic sur 'Tester le workflow'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
200,
520
],
"parameters": {},
"typeVersion": 1
},
{
"id": "aeef734e-1c3b-4a91-93ae-2ae9c50951b8",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"position": [
400,
520
],
"parameters": {
"url": "https://blog.n8n.io/",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "7f6b95eb-df8c-4f0f-ba69-6b298d624ccd",
"name": "Markdown",
"type": "n8n-nodes-base.markdown",
"position": [
600,
520
],
"parameters": {
"html": "={{ $json.data }}",
"options": {},
"destinationKey": "markdown"
},
"typeVersion": 1
},
{
"id": "994dbe06-4c25-4fb3-a8f3-566eb5b66c6d",
"name": "Note adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
340
],
"parameters": {
"color": 4,
"width": 700,
"height": 360,
"content": "# Connect to one of the blue sections -->\n## This can be anything:\n- Chat input\n- Trigger from external system\n- CRON-scheduled event"
},
"typeVersion": 1
},
{
"id": "8ba3039d-dabf-43b7-ab35-117332f65ced",
"name": "Anthropic Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
1460,
-20
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-3-7-sonnet-20250219",
"cachedResultName": "Claude 3.7 Sonnet"
},
"options": {
"temperature": 0.5
}
},
"credentials": {
"anthropicApi": {
"id": "cJno7gKlYez56WtP",
"name": "Anthropic account"
}
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{
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"parameters": {
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"value": "claude-3-7-sonnet-20250219",
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},
"options": {
"temperature": 0.5
}
},
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"anthropicApi": {
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"name": "Anthropic account"
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"cachedResultName": "Claude 3.7 Sonnet"
},
"options": {
"temperature": 0.5
}
},
"credentials": {
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"typeVersion": 1.3
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{
"id": "5f0d11ce-c1ea-4c36-8b2d-d3f70b19f0ba",
"name": "Anthropic Chat Model3",
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"position": [
2540,
-20
],
"parameters": {
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"__rl": true,
"mode": "list",
"value": "claude-3-7-sonnet-20250219",
"cachedResultName": "Claude 3.7 Sonnet"
},
"options": {
"temperature": 0.5
}
},
"credentials": {
"anthropicApi": {
"id": "cJno7gKlYez56WtP",
"name": "Anthropic account"
}
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"typeVersion": 1.3
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{
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"name": "Fusion",
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"position": [
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360
],
"parameters": {
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{
"id": "c7e58b90-bc96-421c-88f2-4e9f95f87248",
"name": "Mémoire simple",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
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"sessionIdType": "customKey",
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},
"typeVersion": 1.3
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{
"id": "0e606f7c-2cdb-4e34-8c0b-2303996077fb",
"name": "Nettoyer la mémoire",
"type": "@n8n/n8n-nodes-langchain.memoryManager",
"position": [
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"parameters": {
"mode": "delete",
"deleteMode": "all"
},
"typeVersion": 1.1
},
{
"id": "af0fb574-9964-4f7d-8348-a2cf614b8562",
"name": "Invites initiales",
"type": "n8n-nodes-base.set",
"position": [
1880,
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],
"parameters": {
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"assignments": {
"assignments": [
{
"id": "84a50c9c-2265-4dd6-a774-efc852615862",
"name": "system_prompt",
"type": "string",
"value": "You are a helpful assistant"
},
{
"id": "559f19f7-042c-465e-b85f-ab52cfbab04a",
"name": "step1",
"type": "string",
"value": "What is on this page?"
},
{
"id": "6791cd09-c5f7-48c8-b753-8d383db6863f",
"name": "step2",
"type": "string",
"value": "List all authors on this page"
},
{
"id": "1f92ac04-e5dd-4161-afde-14562aea454c",
"name": "step3",
"type": "string",
"value": "List all posts on this page"
},
{
"id": "ad8ee0b0-fa7d-4f4a-85a8-82d0d0dc0a40",
"name": "step4",
"type": "string",
"value": "Make a bold funny joke based on the content on this page"
}
]
}
},
"typeVersion": 3.4
},
{
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"type": "n8n-nodes-base.splitOut",
"position": [
2240,
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],
"parameters": {
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"options": {},
"fieldToSplitOut": "data",
"fieldsToInclude": "system_prompt"
},
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},
{
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"name": "Reshape",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {
"mode": "raw",
"include": "selected",
"options": {},
"jsonOutput": "={ \"data\" : {{ Object.entries($json).filter(([key]) => key !== \"system_prompt\").map(([key, value]) => ({ step: key, instruction: value })) }}\n}",
"includeFields": "system_prompt",
"includeOtherFields": true
},
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},
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"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"width": 540,
"height": 240,
"content": "# An array of prompts here"
},
"typeVersion": 1
},
{
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"name": "Anthropic Chat Model4",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
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],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-3-7-sonnet-20250219",
"cachedResultName": "Claude 3.7 Sonnet"
},
"options": {
"thinking": false,
"temperature": 0.5
}
},
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"name": "Anthropic account"
}
},
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{
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"parameters": {
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"options": {},
"combineBy": "combineAll"
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"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"width": 320,
"height": 520,
"content": "## Make sure URL matches\n### ⚠️ Cloud users!\nReplace `{{ $env.WEBHOOK_URL }}` \nwith your n8n instance URL"
},
"typeVersion": 1
},
{
"id": "7b99df1a-bf6c-4cf1-b58a-346873136715",
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"position": [
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"parameters": {
"text": "={{ $json.body.userprompt }}\n\nHere's page data:\n~~~~\n{{ $json.body.markdown }}\n~~~~",
"promptType": "define"
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{
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"position": [
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],
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"mode": "list",
"value": "claude-3-7-sonnet-20250219",
"cachedResultName": "Claude 3.7 Sonnet"
},
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"temperature": 0.5
}
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"options": {},
"httpMethod": "POST",
"responseMode": "lastNode"
},
"typeVersion": 2
},
{
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"name": "CONNECT ME",
"type": "n8n-nodes-base.noOp",
"position": [
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"parameters": {},
"typeVersion": 1
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{
"id": "90ab4402-cbea-4441-9097-558ec72e5d38",
"name": "CONNECT ME1",
"type": "n8n-nodes-base.noOp",
"position": [
1280,
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"parameters": {},
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{
"id": "1c04650f-8043-496f-aeab-866e85548f9d",
"name": "CONNECT ME2",
"type": "n8n-nodes-base.noOp",
"position": [
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},
{
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"name": "Note adhésive3",
"type": "n8n-nodes-base.stickyNote",
"position": [
960,
-300
],
"parameters": {
"color": 5,
"width": 1980,
"height": 440,
"content": "# 1 - Naive Chaining\n### PROs:\n- Easy to setup\n- Beginner-friendly\n\n### CONs\n- Not scalable\n- Hard to maintain long chains\n- SLOOOW!"
},
"typeVersion": 1
},
{
"id": "ce806bc6-a57e-47da-bbba-4698c3956022",
"name": "Note adhésive4",
"type": "n8n-nodes-base.stickyNote",
"position": [
960,
240
],
"parameters": {
"color": 5,
"width": 2160,
"height": 660,
"content": "# 2 - Iterative Agent Processing\n\n### PROs:\n- Scalable\n- All inputs & outputs in a single node\n- Supports Agent memory\n\n### CONs\n- Still Slow!"
},
"typeVersion": 1
},
{
"id": "49c4507f-de1e-422b-8058-db82668614d3",
"name": "Note adhésive5",
"type": "n8n-nodes-base.stickyNote",
"position": [
960,
1000
],
"parameters": {
"color": 5,
"width": 1880,
"height": 600,
"content": "# 3 - Parallel Processing\n\n### PROs:\n- Scalable\n- All inputs & outputs in a single place\n- FAST!\n\n### CONs\n- Independent requests\n (no Agent memory)"
},
"typeVersion": 1
},
{
"id": "c30b8132-9291-4855-89ec-6a98bcee8247",
"name": "Note adhésive6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1420,
1260
],
"parameters": {
"width": 400,
"height": 240,
"content": "# Array of prompts here"
},
"typeVersion": 1
},
{
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"name": "Initial prompts1",
"type": "n8n-nodes-base.set",
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1460,
1340
],
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"assignments": [
{
"id": "ed7f1cc6-99d3-481c-b5fb-d9900d6ee0f6",
"name": "userprompt",
"type": "array",
"value": "=[\n\"What is on this page?\",\n\"List all authors on this page\",\n\"List all posts on this page\",\n\"Make a bold funny joke based on the content on this page\"\n]"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8248a20f-1f90-42b0-8167-7ddcc90242a2",
"name": "LLM Chain - Étape 1",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1500,
-220
],
"parameters": {
"text": "={{ $('Markdown').first().json.markdown }}",
"messages": {
"messageValues": [
{
"message": "What is on this page?"
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "3788b23b-ccdc-4326-8ce0-1e57934d23bd",
"name": "LLM Chain - Étape 2",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
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],
"parameters": {
"text": "={{ $('Markdown').first().json.markdown }}",
"messages": {
"messageValues": [
{
"message": "List all authors on this page"
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "89e69a39-bf13-4599-8ddc-a01c4590fb9c",
"name": "LLM Chain - Étape 3",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2220,
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],
"parameters": {
"text": "={{ $('Markdown').first().json.markdown }}",
"messages": {
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{
"message": "List all posts on this page"
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "7e395991-9404-490e-8946-0da8f81e7243",
"name": "LLM Chain - Étape 4",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2580,
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],
"parameters": {
"text": "={{ $('Markdown').first().json.markdown }}",
"messages": {
"messageValues": [
{
"message": "Make a bold funny joke based on the content on this page"
}
]
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
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],
"parameters": {
"text": "={{ $json.markdown || \"\" }}\n{{ `Your task: ${$json.data.step}. ${$json.data.instruction}` }}",
"options": {
"systemMessage": "={{ $json.system_prompt }}"
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
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"name": "Étapes LLM - parallèles",
"type": "n8n-nodes-base.httpRequest",
"position": [
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1240
],
"parameters": {
"url": "={{ $env.WEBHOOK_URL }}webhook/58d2b899-e09c-45bf-b59b-961a5d7a2470",
"method": "POST",
"options": {},
"jsonBody": "={{ $json }}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "7748574b-1abd-4697-9644-db8bb79fb08d",
"name": "Fusionner la sortie avec les invites initiales",
"type": "n8n-nodes-base.merge",
"position": [
2440,
1140
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
},
{
"id": "b207d83b-ecda-4a9f-af78-cfbb2253c119",
"name": "Fusionner la sortie avec les invites initiales1",
"type": "n8n-nodes-base.merge",
"position": [
3000,
380
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3.1
}
],
"active": true,
"pinData": {},
"settings": {
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1",
"saveDataSuccessExecution": "all"
},
"versionId": "7b1849db-1c4c-4943-89b1-184926649776",
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}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 - 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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