Go High Level で Redis と Anthropic を使ってWhatsApp への返信を自動化
上級
これはAI Chatbot, Multimodal AI分野の自動化ワークフローで、31個のノードを含みます。主にIf, Set, Code, Wait, Mergeなどのノードを使用。 Go High Level、Redis、Anthropicを使ってWhatsAppの回答を自動化する
前提条件
- •Redisサーバー接続情報
- •HTTP Webhookエンドポイント（n8nが自動生成）
- •Google Drive API認証情報
- •ターゲットAPIの認証情報が必要な場合あり
- •Anthropic API Key
使用ノード (31)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "QiEoooyNMeJcvKKg",
"meta": {
"instanceId": "6bad1eba185697a960de5bc9203d6bff2fd56440a0b5303c382e0b1537a2a568"
},
"name": "Automating WhatsApp replies in Go High Level with Redis and Anthropic",
"tags": [
{
"id": "PnRGSMhEDCtkgPVA",
"name": "OJAUUMDev",
"createdAt": "2025-07-21T20:12:28.081Z",
"updatedAt": "2025-07-21T20:12:28.081Z"
}
],
"nodes": [
{
"id": "6290c10a-80ac-46b8-9d49-dcf5dff98125",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-1380,
320
],
"webhookId": "fce352e8-8edf-447c-9b54-c2c2b6649ccc",
"parameters": {
"path": "fce352e8-8edf-447c-9b54-c2c2b6649ccc",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "4f19d6b1-829c-4824-8e75-e0781caa59f3",
"name": "条件分岐1",
"type": "n8n-nodes-base.switch",
"position": [
-1220,
320
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "436fa76a-f948-4de3-86a1-9ed6e568430f",
"operator": {
"type": "string",
"operation": "notContains"
},
"leftValue": "={{ $json.body.message.body }}",
"rightValue": "type message: audio"
}
]
}
},
{
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a4574272-ebee-40a4-a1fb-9139e5f6112e",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.body.message.body }}",
"rightValue": "type message: audio"
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3
},
{
"id": "2f44dc60-d93f-4ee0-8c5a-e481541d6486",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
460,
160
],
"parameters": {
"text": "={{ $('messages').first().json.menssage }}",
"options": {
"systemMessage": "=# Summary\n\nYou are the customer service assistant for **GlobalPoint Services**. Your task is to answer user questions **only using the information provided by the `ClientInfo` tool**, which contains accurate data about services, branches, locations, schedules, prices, and requirements.\n\n# Tools\n\n**ClientInfo** → Use this tool to obtain the exact information. Its content consists of a list of objects under the `\"response\"` field with the following structure:\n\n```json\n{\n \"response\": {\n \"Category\": \"Consulting\",\n \"Service\": \"Business Strategy Session\",\n \"Requirements\": \"Schedule at least 48 hours in advance\",\n \"Price (USD)\": 150\n }\n},\n{\n \"response\": {\n \"Branch\": \"GlobalPoint Downtown Office\",\n \"Location\": \"123 Main Street, Downtown, Springfield, USA\",\n \"Schedule\": \"Mon–Fri: 9 a.m.–6 p.m.; Sat: 9 a.m.–1 p.m.; Sun: Closed\",\n \"Notes\": \"Walk-ins are welcome during business hours.\"\n }\n}\n```\n\n# Rules\n\n* When a user asks about branches, locations, schedules, services, prices, or requirements, **always use ClientInfo to find exact matches**, regardless of case sensitivity or minor typos.\n* You may accept partial matches or synonyms as long as they clearly refer to the exact service or branch listed in ClientInfo.\n* Always respond using the exact service or branch name **as it appears in ClientInfo**, and clarify:\n `The price for \"[exact name]\" is XX USD.`\n or\n `The branch \"[exact name]\" is located at [exact location]. Schedule: [schedule].`\n* **Never provide information that is not explicitly included in ClientInfo.**\n* If no clear match is found, respond with:\n `Sorry, we do not offer that service or have that branch in our records. Is there anything else I can help you with?`\n* Use a **friendly, clear, simple, and helpful** tone, always in the **same language as the user**.\n* If the question is generic or just a greeting, respond politely and invite them to ask.\n\n# Examples\n\n**1. Input:** Hello\n**Response:** Hi! Welcome to GlobalPoint Services. How can I assist you today?\n\n**2. Input:** I have a question\n**Response:** Sure, tell me more so I can help.\n\n**3. Input:** What services do you offer?\n**Action:** Read all items in ClientInfo.\n**Response:** At GlobalPoint Services, we offer options such as \\[brief list based on Category and Service].\n\n**4. Input:** How much is the Business Strategy Session?\n**Action:** Search \"Business Strategy Session\" in ClientInfo.\n**Response:** The price for the service \"Business Strategy Session\" is 150 USD. Requirements: Schedule at least 48 hours in advance.\n\n**5. Input:** Where is the Downtown Office?\n**Action:** Search \"Downtown Office\" in branches within ClientInfo.\n**Response:** Our branch \"GlobalPoint Downtown Office\" is located at 123 Main Street, Downtown, Springfield, USA. Schedule: Mon–Fri: 9 a.m.–6 p.m. and Sat: 9 a.m.–1 p.m.\n\n# Final Reminders\n\n* **Never make up data, prices, or addresses.**\n* **Never answer from general knowledge**, only from ClientInfo.\n* **Always use the exact service or branch name when giving prices or requirements.**\n* **Do not give suggestions or recommendations not present in the data.**\n\n"
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "e60eaf2a-9c68-49bf-b237-d0bbd6bdd1c7",
"name": "Anthropicチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
380,
380
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude Sonnet 4"
},
"options": {}
},
"typeVersion": 1.3
},
{
"id": "a29f6bab-4088-48f2-802a-c59f44d0d3f5",
"name": "コンタクト更新",
"type": "n8n-nodes-base.httpRequest",
"position": [
1280,
160
],
"parameters": {
"url": "=https://rest.gohighlevel.com/v1/contacts/{{ $('Webhook').item.json.body.contact_id }}",
"method": "PUT",
"options": {},
"jsonBody": "={\n \"customField\": {\n \"{{ $json.customFields.find(field => field.name === 'IA_answer').id }}\": \"{{ $('Sanitize and Format Message Output').item.json.output }}\"\n }\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "fm62ksvikAH77Hft",
"name": "Bearer Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "ba1cfe67-f7ce-4f32-82a9-99557f4b6495",
"name": "GHLカスタムフィールド",
"type": "n8n-nodes-base.httpRequest",
"position": [
1080,
160
],
"parameters": {
"url": "https://rest.gohighlevel.com/v1/custom-fields/",
"options": {},
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "fm62ksvikAH77Hft",
"name": "Bearer Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "5ab4f7b8-ccf3-440b-a9ea-54e6d5e595f7",
"name": "待機",
"type": "n8n-nodes-base.wait",
"position": [
-500,
220
],
"webhookId": "41f5205b-b571-4c07-a456-8ef0b59bd176",
"parameters": {
"amount": 15
},
"typeVersion": 1.1
},
{
"id": "b081b133-b582-447e-bf52-8647d4c18e24",
"name": "条件分岐",
"type": "n8n-nodes-base.if",
"position": [
-180,
220
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "41b0355b-7204-4e25-b74a-7bf70dea8a9c",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.messages.last() }}",
"rightValue": "={{ $('Sanitize and Format Message Body').item.json.text }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "1f6b0707-cd9d-4d93-ba39-757348beceb1",
"name": "操作なし（何もしない）",
"type": "n8n-nodes-base.noOp",
"position": [
-20,
380
],
"parameters": {},
"typeVersion": 1
},
{
"id": "86cb66f8-0d79-40ee-88c6-48ac440a08cf",
"name": "簡易メモリ",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
520,
380
],
"parameters": {
"sessionKey": "={{ $('Webhook').item.json.body.phone }}",
"sessionIdType": "customKey"
},
"typeVersion": 1.3
},
{
"id": "27d0db94-0317-423f-8b58-8178211f8dfb",
"name": "メッセージ保存",
"type": "n8n-nodes-base.redis",
"position": [
-660,
220
],
"parameters": {
"list": "={{ $('Webhook').item.json.body.contact_id }}",
"tail": true,
"operation": "push",
"messageData": "={{ $json.text }}"
},
"typeVersion": 1
},
{
"id": "6c8b6cb0-7cd7-4e3d-90c4-4e117f3449eb",
"name": "メッセージ取得",
"type": "n8n-nodes-base.redis",
"position": [
-340,
220
],
"parameters": {
"key": "={{ $('Webhook').item.json.body.contact_id }}",
"options": {},
"operation": "get",
"propertyName": "mensajes"
},
"typeVersion": 1
},
{
"id": "877a16b7-b461-439f-8501-9a4c418dc7d0",
"name": "メッセージ本文の整形・フォーマット",
"type": "n8n-nodes-base.code",
"position": [
-940,
220
],
"parameters": {
"jsCode": "return [{\n text: $input.first().json.body.message.body\n .replace(/\\\\+\"/g, '\"') // Fix incorrectly escaped double quotes\n .replace(/\\n/g, \"\\\\n\") // Properly escape line breaks\n .replace(/\\r/g, \"\\\\r\") // Escape carriage returns\n .replace(/\\t/g, \"\\\\t\") // Escape tab characters\n .trim() // Remove unnecessary whitespace\n}];"
},
"typeVersion": 2
},
{
"id": "8c8a0ce0-4fc3-4979-8f1a-331a0861bfe4",
"name": "メッセージ削除",
"type": "n8n-nodes-base.redis",
"position": [
120,
160
],
"parameters": {
"key": "={{ $('Webhook').item.json.body.contact_id }}",
"operation": "delete"
},
"typeVersion": 1
},
{
"id": "55e65c69-54ec-4df1-8197-0dd0b4f6f416",
"name": "メッセージ一覧",
"type": "n8n-nodes-base.set",
"position": [
-20,
160
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "7bb3ef98-b766-4ad7-8343-b2885bd70225",
"name": "message",
"type": "string",
"value": "={{ $node[\"Get messages\"].json[\"messages\"].join(\"\\n\") }}"
},
{
"id": "62dfc214-fb40-4a59-81a4-b01c6c0860af",
"name": "id",
"type": "string",
"value": "={{ $('Webhook').item.json.body.contact_id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e65eca71-742f-4301-bbab-5130fe7e4d34",
"name": "他ワークフロー実行時",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-600,
1140
],
"parameters": {
"inputSource": "passthrough"
},
"typeVersion": 1.1
},
{
"id": "22b16984-474c-488a-b012-17d6cc8f26c9",
"name": "ファイルダウンロード",
"type": "n8n-nodes-base.googleDrive",
"position": [
-440,
1140
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "1Im72SvVQhzjLk_rVUidGK0du4s2zMZ3H",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Im72SvVQhzjLk_rVUidGK0du4s2zMZ3H/edit?usp=drivesdk&ouid=107080324345235325088&rtpof=true&sd=true",
"cachedResultName": "Examenes de Laboratorio Prueba Doctor Premier.xlsx"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "CVPYPrKE5BtLWWzx",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "aabc26f2-36a2-469c-8c60-5a7b35030c16",
"name": "成功",
"type": "n8n-nodes-base.set",
"position": [
80,
1140
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "39c2f302-03be-4464-a17a-d7cc481d6d44",
"name": "=response",
"type": "object",
"value": "={{ $json }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "ce02d432-ecca-44ff-ac7e-2f3d12f09185",
"name": "統合",
"type": "n8n-nodes-base.merge",
"position": [
-60,
1140
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "e9836dfc-8a86-41be-ac81-5e706ce38a23",
"name": "n8nワークフローツール呼び出し",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
680,
380
],
"parameters": {
"workflowId": {
"__rl": true,
"mode": "list",
"value": "yVUPXPNCNlo5HkJs",
"cachedResultName": "My Sub-Workflow 1"
},
"workflowInputs": {
"value": {},
"schema": [],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2.2
},
{
"id": "7a881605-ce1d-4ed4-9c61-36533b759286",
"name": "テスト抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-240,
1060
],
"parameters": {
"options": {
"sheetName": "Tests"
},
"operation": "xlsx"
},
"typeVersion": 1
},
{
"id": "44d5d6c6-add6-424c-ad6c-0108435a1c1b",
"name": "サイト抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
-240,
1240
],
"parameters": {
"options": {
"sheetName": "Sites"
},
"operation": "xlsx",
"binaryPropertyName": "=data"
},
"typeVersion": 1
},
{
"id": "b8d3874e-ee58-4da7-bcf5-3b6b67071411",
"name": "付箋メモ",
"type": "n8n-nodes-base.stickyNote",
"position": [
-660,
580
],
"parameters": {
"color": 5,
"width": 900,
"height": 820,
"content": "# Google Drive Excel Merge Workflow\n\nThis is an **optional example** that should be created in a **separate workflow**. It demonstrates how to extract client information from an Excel file with two sheets, `tests` and `sites`, merge the data, and return it to an LLM.\n\n## 1. Setup and Download\n* Create Google OAuth 2.0 credentials in **Google Cloud Console** and enable the **Google Drive API**.\n* Authenticate and download the specified Excel file from Google Drive.\n---\n## 2. Extract Data from Excel\n* Read the Excel file.\n* Extract data from the **tests** sheet.\n* Extract data from the **sites** sheet.\n---\n## 3. Merge the Data\n* Combine the extracted data from both sheets into one dataset.\n* Ensure formatting and structure are consistent.\n* Return the merged dataset as the response to the LLM request.\n"
},
"typeVersion": 1
},
{
"id": "62d3abdc-7eac-4552-a064-23097d6ea7d6",
"name": "付箋メモ1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1400,
-300
],
"parameters": {
"width": 680,
"height": 860,
"content": "# GHL to n8n SMS Reply Bridge\n\n## 1. Requirements and Setup\n\n* Requires the **GoHighLevel sub-account API** (API key/token) where the chatbot will run.\n* In GoHighLevel, create an **Automation**: trigger on **Customer Replied (SMS)** and send the payload to your **n8n Webhook** URL.\n* Use the **Wazzap** plugin in GHL to receive WhatsApp replies into the same flow.\n* Cost-Saving Trick: Create a custom field in GHL, for example **IA_answer** and update with your bot’s response instead of triggering extra paid automations on every inbound message.\n---\n\n## 2. Webhook and Filter\n\n* Receive the HTTP POST in **n8n Webhook**.\n* Add a filter/switch:\n * If the message is **audio** (Wazzap/GHL does not provide a downloadable file), **do not process**. Send a personalized fallback reply asking for text.\n * If the message is **text**, run a **Function/Code** node to **sanitize**:\n * Fix incorrectly escaped quotes.\n * Escape line breaks, carriage returns, and tabs.\n * Trim whitespace and remove invalid fields.\n\n"
},
"typeVersion": 1
},
{
"id": "20e82e23-0434-495e-9676-0cf6d91f1c5a",
"name": "オーディオなしコンタクト更新",
"type": "n8n-nodes-base.httpRequest",
"position": [
-860,
400
],
"parameters": {
"url": "=https://rest.gohighlevel.com/v1/contacts/{{ $('Webhook').item.json.body.contact_id }}",
"method": "PUT",
"options": {},
"jsonBody": "={\n \"customField\": {\n \"{{ $json.customFields.find(field => field.name === 'IA_answer').id }}\": \"Sorry, I can’t listen to voice notes at the moment. Could you please write your question or concern? Thank you very much.\"\n }\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "fm62ksvikAH77Hft",
"name": "Bearer Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "ad9f2916-0f90-4c4a-85eb-6b7dfc705fa8",
"name": "GHLカスタムフィールド取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1060,
400
],
"parameters": {
"url": "https://rest.gohighlevel.com/v1/custom-fields/",
"options": {},
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "fm62ksvikAH77Hft",
"name": "Bearer Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "1cd6d85e-62e7-41d4-a4a8-5e6ded3140de",
"name": "付箋メモ2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-660,
-300
],
"parameters": {
"color": 6,
"width": 900,
"height": 860,
"content": "# Redis Message Buffer Workflow\n\n## 1. Purpose\n* Batch multiple user messages sent within a short window and pass a single merged text to the next step.\n---\n## 2. Setup\n* Configure a Redis database and set credentials/values in the Redis nodes (host, port, db index, password).\n* Use one Redis list per contact, keyed by the `contact_id` from the Webhook.\n---\n## 3. Flow\n* **Save message**: Push the sanitized text to the Redis list for `contact_id`.\n* **Wait**: Pause for a few seconds (e.g., 15) so the user can finish typing.\n* **Get messages**: Read all items from the Redis list into `messages`.\n* **If**: Compare `messages.last()` with the latest sanitized text; if equal proceed, if not do nothing.\n* **messages**: Join all collected items with newline into `message` and keep `id = contact_id`.\n* **Delete messages**: Delete the Redis key for that `contact_id` to clear the buffer.\n"
},
"typeVersion": 1
},
{
"id": "6949cf34-0086-4493-b281-2d8d200c7fcb",
"name": "メッセージ出力の整形・フォーマット",
"type": "n8n-nodes-base.code",
"position": [
800,
160
],
"parameters": {
"jsCode": "return [{\n output: $input.first().json.output\n .replace(/^\"{|}\"$/g, \"\") // Removes double quotes at the start and end if present\n .replace(/^{\"response\":\\s*\"/, '') // Removes '{\"response\":\"' at the beginning if present\n .replace(/\"}$/, '') // Removes '\"}' at the end if present\n .replace(/\\\\\"/g, '\"') // Converts escaped quotes \\\" into normal quotes \"\n .replace(/\\n/g, \"\\\\n\") // Escapes newlines correctly\n .replace(/\\r/g, \"\\\\r\") // Escapes carriage returns\n .replace(/\\t/g, \"\\\\t\") // Escapes tabs\n .replace(/^\"+|\"+$/g, \"\") // 🔥 New line: Removes extra double quotes at the edges\n .replace(/\"/g, '\\\\\"') // Escapes internal double quotes for JSON\n .trim() // Removes unnecessary whitespace\n}];"
},
"typeVersion": 2
},
{
"id": "99f56ece-0c95-4148-938a-51e9d32d047f",
"name": "付箋メモ3",
"type": "n8n-nodes-base.stickyNote",
"position": [
340,
-300
],
"parameters": {
"color": 3,
"width": 660,
"height": 860,
"content": "# ClientInfo LLM Response Workflow\n\n## 1. AI Agent with ClientInfo Tool\n* Answers user questions **only** with data from **ClientInfo** (sub-workflow below), calling it through **Call n8n Workflow Tool**.\n * Uses **Anthropic (Claude Sonnet 4)** in this example but can work with any chat model by setting the API key.\n * The system prompt enforces answering only from ClientInfo, and can be tuned for your client’s tone, style, or specificity based on available data.\n * Keeps short conversational context with **Simple Memory** using the user’s phone as the session key.\n---\n## 2. Sanitize Output\n* After generating the response, a **Function/Code** node cleans it by fixing incorrectly escaped quotes, escaping line breaks, carriage returns, and tabs, trimming whitespace, and removing invalid fields before sending it downstream.\n"
},
"typeVersion": 1
},
{
"id": "3608f575-00cf-42a8-acd8-44771e584288",
"name": "付箋メモ4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1020,
-300
],
"parameters": {
"width": 460,
"height": 620,
"content": "# GHL Update Contact Workflow\n\n## 1. Get Custom Fields\n * Makes a **GET** request to the GoHighLevel API to retrieve all custom fields in the sub-account.\n * Finds the **IA_answer** field ID to be used in the update request.\n---\n## 2. Update Contact\n * Sends a **PUT** request to the GoHighLevel API to update the contact’s **IA_answer** custom field with the sanitized AI response.\n * In GHL, create an **Automation** that triggers when **IA_answer** is updated and sends the value by SMS to the contact.\n"
},
"typeVersion": 1
},
{
"id": "996bfe66-4b59-4702-aa59-55da2c5282e3",
"name": "付箋メモ5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2600,
-300
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"parameters": {
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"content": "# Automating WhatsApp replies in Go High Level with Redis and Anthropic\n## Description\n* Integrates GHL + Wazzap with Redis and an AI Agent using ClientInfo to process messages, generate accurate replies, and send them via a custom field trigger.\n---\n## Who’s it for\n* This workflow is for businesses using **GoHighLevel (GHL)**, including the **Wazzap** plugin for WhatsApp, who want to automate inbound SMS/WhatsApp replies with AI. It’s ideal for teams that need accurate, data-driven responses from a predefined **ClientInfo** source and want to send them back to customers without paying for extra inbound automations.\n---\n## How it works / What it does\n1. **Receive message** in n8n via Webhook from GHL (**Customer Replied (SMS)** automation). WhatsApp messages arrive the same way using the **Wazzap** plugin.\n2. **Filter message type**:\n * If audio → skip processing and send fallback asking for text.\n * If text → sanitize by fixing escaped quotes, escaping line breaks/carriage returns/tabs, and removing invalid fields.\n3. **Buffer messages** in Redis to group multiple messages sent in a short window.\n4. **Run AI Agent** using the **ClientInfo** tool to answer only with accurate service/branch data.\n5. **Sanitize AI output** before sending back.\n6. **Update GHL contact** custom field (**IA_answer**) with the AI’s response.\n7. **Send SMS reply** automatically via GHL’s outbound automation triggered by the updated custom field.\n---\n## How to set up\n1. In **GHL**, create:\n * **Inbound automation**: Trigger on *Customer Replied (SMS)* → Send to your n8n Webhook.\n * **Outbound automation**: Trigger when **IA_answer** is updated → Send SMS to the contact.\n * Create a custom field named **IA_answer**.\n2. Connect **Wazzap** in GHL to handle WhatsApp messages.\n3. Configure **Redis** in n8n (host, port, DB index, password).\n4. Add your **AI model** credentials (Anthropic, OpenAI, etc.) in n8n.\n5. (Optional) Set up the **Google Drive Excel Merge** sub-workflow to enrich ClientInfo with external data.\n---\n## Requirements\n* **GoHighLevel sub-account API key**.\n* **Anthropic (Claude)** API key or another supported LLM provider.\n* **Redis database** for temporary message storage.\n* **GHL automations**: one for inbound messages to n8n, one for outbound replies when **IA\\_answer** is updated.\n* **GHL custom field**: **IA\\_answer** to store and trigger replies.\n* **Wazzap plugin** in GHL for WhatsApp message handling.\n---\n## How to customize the workflow\n* Add more context or business-specific data to the **AI Agent prompt** so replies match your brand tone and policies.\n* Expand the **ClientInfo** dataset with additional services, branches, or product details.\n* Adjust the **Redis wait time** to control how long the workflow buffers messages before replying."
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}よくある質問
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上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
上級 - AIチャットボット, マルチモーダルAI
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このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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難易度
上級
ノード数31
カテゴリー2
ノードタイプ18
作成者
Jorge Martínez
@jorgemartinezjamAI Engineer & Full Stack Developer skilled in designing intelligent agents, workflow automation, and NLP solutions. Experienced with LLMs, Relevance AI, make, zapier, and n8n. Proficient in integrating AI and chatbots into web apps, optimizing processes, and leveraging automation for real-time productivity. Strong background in backend and frontend development, REST APIs, and database management.
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