Mise en œuvre d'un tampon de messages évolutive pour les conversations IA naturelles dans n8n

Avancé

Ceci est unMiscellaneous, AI Chatbot, Multimodal AIworkflow d'automatisation du domainecontenant 24 nœuds.Utilise principalement des nœuds comme If, Wait, Redis, Agent, ChatTrigger. Mise en tampon intelligente des messages pour le chat IA avec Redis et GPT-4-mini

Prérequis
  • Informations de connexion au serveur Redis
  • Clé API OpenAI
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": "AwApYNYyap3QWQCh",
  "meta": {
    "instanceId": "34b0d0e99edc6fd6ff56c1433b02b593911416243044265caed0be2f3275a537"
  },
  "name": "Implementing a Scalable Message Buffer for Natural AI Conversations in n8n",
  "tags": [],
  "nodes": [
    {
      "id": "2f166c61-c613-46ef-9d58-d24873c6a477",
      "name": "Note autocollante",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1408,
        -64
      ],
      "parameters": {
        "color": 5,
        "width": 380,
        "height": 724,
        "content": "## 🚀 Welcome to the Scalable Chat Buffer Workflow!\n\nThis workflow solves a common problem in AI chat implementations: handling multiple rapid messages from users naturally.\n\n### 🎯 What it does:\n- **Buffers** rapid messages from users (like when someone types multiple lines quickly)\n- **Aggregates** them into a single context\n- **Processes** everything together for more natural AI responses\n- **Scales** efficiently for multiple concurrent users\n\n### 📋 Prerequisites:\n1. **Redis** connection configured\n2. **OpenAI API** key (or other LLM provider)\n3. **n8n version** 1.0.0 or higher\n\n### ⚙️ Configuration:\n1. Set up your Redis credentials\n2. Configure your LLM provider\n3. Adjust the buffer timing (default: 15 seconds)\n4. Deploy and test!\n\n### 💡 Key Innovation:\nUnlike traditional approaches, only the FIRST message in a sequence waits. Subsequent messages skip the queue, eliminating bottlenecks!"
      },
      "typeVersion": 1
    },
    {
      "id": "d09b934e-a97b-4e33-a34e-85044c7ab8ae",
      "name": "Note autocollante 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1008,
        528
      ],
      "parameters": {
        "width": 280,
        "height": 352,
        "content": "## 📥 Message Entry Point\n\nThe **Chat Trigger** receives all incoming messages from users.\n\n**Session ID** is crucial - it ensures each user's messages are handled separately, enabling true parallel processing.\n\nDespite we are using the traditional chat trigger, this workflow will perform better using other chat triggers like Telegram and WhatsApp."
      },
      "typeVersion": 1
    },
    {
      "id": "983f720c-dde7-4ba1-847f-f10524aa4018",
      "name": "Note autocollante 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -752,
        80
      ],
      "parameters": {
        "color": 2,
        "width": 280,
        "height": 260,
        "content": "## 🗄️ Message Queue Insertion\n\nEach message is **pushed to a Redis list** specific to the user's session.\n\n**Key pattern**: `chat_{{sessionId}}`\n\nThis creates isolated message queues per conversation, preventing cross-talk between users."
      },
      "typeVersion": 1
    },
    {
      "id": "f38bceca-c322-4b22-9033-c9f48052510b",
      "name": "Note autocollante 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        128,
        -112
      ],
      "parameters": {
        "color": 4,
        "width": 320,
        "height": 372,
        "content": "## ⏰ Smart Waiting Logic\n\nThis is where the **magic happens**!\n\n**First message** in a burst:\n- Sets a timestamp\n- Enters a 15-second wait period\n- Allows time for additional messages\n\n**Subsequent messages**:\n- Skip the wait if within 15 seconds\n- Get added to the buffer immediately\n- No additional delays!\n\nThis eliminates the bottleneck that affects other buffer implementations."
      },
      "typeVersion": 1
    },
    {
      "id": "fe0c902c-995b-41ae-b322-9cf1d4dd844b",
      "name": "Note autocollante 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1040,
        -96
      ],
      "parameters": {
        "color": 3,
        "width": 320,
        "height": 348,
        "content": "## 🔄 Message Extraction & Context Building\n\nAfter the buffer period:\n1. **Extract** all messages from the Redis queue\n2. **Retrieve** any partial context from previous extraction\n3. **Concatenate** messages into a single context\n4. **Store** the combined message temporarily\n\nThis ensures all fragmented user thoughts are assembled before AI processing."
      },
      "typeVersion": 1
    },
    {
      "id": "df0d2487-ee4d-432d-8877-bcdf869eb28a",
      "name": "Note autocollante 5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1648,
        -80
      ],
      "parameters": {
        "color": 6,
        "width": 320,
        "height": 336,
        "content": "## 🤖 AI Agent Processing\n\nThe **AI Agent** receives the complete buffered message context:\n\n- Processes all user messages as one coherent input\n- Maintains conversation memory via Redis\n- Responds once with full understanding\n- Creates natural, human-like interactions\n\n**Result**: Instead of multiple fragmented responses, users get one thoughtful reply!"
      },
      "typeVersion": 1
    },
    {
      "id": "89b74088-597b-45d0-9bc2-de9f70647221",
      "name": "vérifier_délai",
      "type": "n8n-nodes-base.if",
      "position": [
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        272
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
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          "combinator": "and",
          "conditions": [
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              "operator": {
                "type": "number",
                "operation": "lt"
              },
              "leftValue": "={{ $json.timestamp.toNumber() + 15 }}",
              "rightValue": "={{ $now.toSeconds() }}"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "e39363aa-5a75-4666-b8bf-0e2b4eb4df91",
      "name": "vérifier_premier_message",
      "type": "n8n-nodes-base.if",
      "position": [
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        "conditions": {
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            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
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          "combinator": "and",
          "conditions": [
            {
              "id": "de69235c-bae4-4140-b47f-aff3a24b4be6",
              "operator": {
                "type": "number",
                "operation": "equals"
              },
              "leftValue": "={{ $json.values()[0] }}",
              "rightValue": 1
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "1f0a5bf6-2a3e-422c-8210-aad82f9c867e",
      "name": "obtenir_horodatage",
      "type": "n8n-nodes-base.redis",
      "position": [
        352,
        272
      ],
      "parameters": {
        "key": "=timestamp_{{ $('chat').first().json.sessionId }}",
        "keyType": "string",
        "options": {},
        "operation": "get",
        "propertyName": "timestamp"
      },
      "typeVersion": 1
    },
    {
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      "name": "horodatage",
      "type": "n8n-nodes-base.redis",
      "position": [
        -96,
        272
      ],
      "parameters": {
        "key": "=timestamp_{{ $('chat').first().json.sessionId }}",
        "ttl": 25,
        "value": "={{ $now.toSeconds() }}",
        "expire": true,
        "keyType": "string",
        "operation": "set"
      },
      "typeVersion": 1
    },
    {
      "id": "9bf0ef1e-1d0d-499d-bcfb-05fd72be84a2",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1696,
        496
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4-mini"
        },
        "options": {
          "topP": 1,
          "temperature": 0.8,
          "frequencyPenalty": 0.8
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "a4f025ec-398c-491f-b260-20b2a0c25f9c",
      "name": "rien",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -96,
        464
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "73504fdd-3fe1-453f-a6f4-16cf4cc8c775",
      "name": "Agent IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1696,
        272
      ],
      "parameters": {
        "text": "={{ $json.message }}",
        "options": {
          "systemMessage": "You are a helpful AI assistant. Respond naturally to the complete context of what the user is saying."
        },
        "promptType": "define"
      },
      "typeVersion": 2,
      "alwaysOutputData": true
    },
    {
      "id": "8d0fe1a5-0617-45cb-b254-c2d500d24526",
      "name": "mémoire_chat_redis",
      "type": "@n8n/n8n-nodes-langchain.memoryRedisChat",
      "position": [
        1824,
        496
      ],
      "parameters": {
        "sessionKey": "=memory_{{ $('chat').first().json.sessionId }}",
        "sessionTTL": 7200,
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.5
    },
    {
      "id": "790ddc78-a3c7-4b31-ad1d-af6ca2ee978a",
      "name": "chat",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -992,
        368
      ],
      "webhookId": "chat-buffer-webhook",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.3
    },
    {
      "id": "ddbf7ea0-ed49-4c6b-a7bc-2a2cacfb043d",
      "name": "stocker",
      "type": "n8n-nodes-base.redis",
      "position": [
        -768,
        368
      ],
      "parameters": {
        "list": "=chat_{{ $json.sessionId }}",
        "operation": "push",
        "messageData": "={{ $json.chatInput }}"
      },
      "typeVersion": 1
    },
    {
      "id": "4c9a61a7-ec30-4ffc-ba1e-670fd2f0f0c2",
      "name": "compter",
      "type": "n8n-nodes-base.redis",
      "position": [
        -544,
        368
      ],
      "parameters": {
        "key": "=counter_{{ $json.sessionId }}",
        "ttl": 25,
        "expire": true,
        "operation": "incr"
      },
      "typeVersion": 1
    },
    {
      "id": "42ca5892-fc88-4f91-9810-6997209f64e3",
      "name": "extraire",
      "type": "n8n-nodes-base.redis",
      "position": [
        800,
        272
      ],
      "parameters": {
        "list": "=chat_{{ $('chat').first().json.sessionId }}",
        "tail": true,
        "options": {},
        "operation": "pop",
        "propertyName": "text"
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "9285cfa5-5c37-4a43-bccb-37a5eb1d2027",
      "name": "attendre",
      "type": "n8n-nodes-base.wait",
      "position": [
        128,
        272
      ],
      "webhookId": "wait-webhook",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "b75f167e-b117-4b90-9746-a24fc88763f4",
      "name": "obtenir_message",
      "type": "n8n-nodes-base.redis",
      "position": [
        1024,
        272
      ],
      "parameters": {
        "key": "=message_{{ $('chat').first().json.sessionId }}",
        "keyType": "string",
        "options": {},
        "operation": "get",
        "propertyName": "message"
      },
      "typeVersion": 1
    },
    {
      "id": "7f405702-5983-431a-96fe-b04524c04ae4",
      "name": "définir_message",
      "type": "n8n-nodes-base.redis",
      "position": [
        1248,
        272
      ],
      "parameters": {
        "key": "=message_{{ $('chat').first().json.sessionId }}",
        "ttl": 5,
        "value": "={{ $json.message ? $json.message : \"\" }}{{ $('extract').first().json.text }}\n",
        "expire": true,
        "keyType": "string",
        "operation": "set"
      },
      "typeVersion": 1
    },
    {
      "id": "403218e5-4032-4947-b8ca-c336a88fbb4d",
      "name": "vérifier_file_vide",
      "type": "n8n-nodes-base.if",
      "position": [
        1472,
        272
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "db8d3308-4158-423c-817e-b55786bc13ca",
              "operator": {
                "type": "string",
                "operation": "empty",
                "singleValue": true
              },
              "leftValue": "={{ $('extract').first().json.text }}",
              "rightValue": "={{ $json.values()[0] }}"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "250117dc-ae26-4ea2-b782-a581ad2b8790",
      "name": "Note autocollante 6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -416,
        592
      ],
      "parameters": {
        "color": 7,
        "width": 328,
        "height": 312,
        "content": "## 🔍 Critical Decision Points\n\nThese **IF nodes** control the flow:\n\n1. **check_first_message**: Is this the first message from this session?\n2. **check_delay**: Has the buffer period expired?\n3. **check_queue_is_empty**: Are there messages ready to process?\n\nThese decisions ensure efficient, scalable message handling."
      },
      "typeVersion": 1
    },
    {
      "id": "022aa490-78eb-4ad3-ad61-7ce621541443",
      "name": "Note autocollante 7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2080,
        48
      ],
      "parameters": {
        "color": 5,
        "width": 320,
        "height": 372,
        "content": "## ⚡ Performance Tips\n\n**Customization Options:**\n- **Buffer Time**: Adjust from 15s (line in check_delay)\n- **TTL Values**: Modify Redis key expiration times\n- **LLM Settings**: Tune temperature and frequency penalty\n- **System Message**: Customize AI behavior\n\n**Scaling Considerations:**\n- Each session runs independently\n- Redis handles thousands of concurrent sessions\n- No shared bottlenecks between users"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "aa753eee-4ff4-448c-8696-cd277fe2301f",
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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 - Divers, Chatbot IA, IA Multimodale

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.

Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds24
Catégorie3
Types de nœuds9
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Liens externes
Voir sur n8n.io

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Catégories

Catégories: 34