AI員工具を使ってWhatsAppにチャットGPTを構築する方法

• •特別な前提条件なし、インポートしてすぐに使用可能

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  "name": "Create a WhatsApp AI Assistant with Llama-4 and Google Search Insights",
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        "text": "={{ $json.text }}",
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          "systemMessage": "=You are Seventeen, a friendly and helpful AI assistant created by Manav.  \nYou speak in casual AAVE (American tone) with a light sarcastic vibe.  \n\nAlternate your greetings (e.g., “yo, what’s poppin’?”, “hey, what’s goin’ on?”) so replies don’t feel repetitive.  \nYou are currently talking to {{ $('WhatsApp Trigger').item.json.contacts[0].profile.name }}.  \nThe current date and time is {{ $now.toISO() }}.  \n\nAvoid writing “G’” at the start of sentences. Keep responses casual but clear.\n"
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        "content": "## Node Guide: Input Switch\n\nThis node detects the **type of message** coming from WhatsApp (text or image) and sends it to the correct processing path in the workflow.\n\n- **Text messages** → Sent directly to the AI Agent.  \n- **Image messages** → (Future use) Can be extended as per your requirements.\n\nThis helps ensure the workflow handles different input types smoothly.\n\n"
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        "content": "## Execution Logic\n\nThis part of the workflow activates **when a text message is detected**.  \nIt prepares the message and sends it to the AI Agent node, which generates the reply.  \n\nUse this node to **process text inputs only** (images or audio can be added later if needed).\n"
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        "content": "## Meet Your AI Agent\n\nThis chatbot runs on **Groq’s lightning-fast LLaMA 4 model** and delivers **real-time answers** through Google Search (SerpAPI).\n\n### How it works\n- Responds to **text messages** (images or audio can be added later).  \n- Remembers your last **20 messages** for continuous context.  \n- Searches Google when it needs fresh info (no outdated responses).  \n- Designed to feel like you’re talking to a **real person** — fast, smart, and helpful.\n"
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        "content": "## WhatsApp AI Assistant with LLaMA 4 and Google Search\n\n#### This workflow creates a **real-time AI chatbot on WhatsApp** powered by Groq’s **LLaMA 4 model** with **Google Search (SerpAPI)** for fresh insights.\n\n---\n\n### Who’s it for\n- Users who want an AI assistant directly on WhatsApp.  \n- Businesses needing real-time FAQ and support automation.  \n- Anyone wanting a chatbot that remembers past messages and uses live search.\n\n---\n\n### What it does\n- Connects WhatsApp to **Groq’s LLaMA 4** model for AI responses.  \n- Uses **SerpAPI** to fetch **real-time search results** from Google.  \n- Maintains **context of the last 20 messages** for continuous conversations(you can increase in the AI agent). \n\n---\n\n### How it works\n1. A user sends a message to your WhatsApp number.  \n2. The workflow checks if it’s **text** (images can be added later).  \n3. Text is sent to the AI Agent, which uses Groq’s LLaMA 4 for responses.  \n4. If real-time info is needed, SerpAPI fetches results from Google.  \n5. The reply is composed and sent back to the user via WhatsApp.\n\n---\n\n### Requirements\n- **n8n** (cloud or self-hosted)  \n- **WhatsApp Business API** or **Twilio sandbox**  \n- **Groq API key**  \n- **SerpAPI key**  \n\n---\n\n### How to set up\n1. Import this workflow into your n8n instance.  \n2. Configure **Groq**, **SerpAPI**, and **WhatsApp** credentials.  \n3. Link your WhatsApp webhook to trigger this workflow.  \n4. Activate and test by sending a WhatsApp message.  \n\n---\n\n### How to customize\n- Change AI personality in the **AI Agent** node’s `systemMessage`.  \n- Add extra features like **summarization, translation, or voice handling**.  \n- Integrate logging or analytics for chatbot usage tracking.\n"
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        "operation": "send",
        "phoneNumberId": "768049963047541",
        "additionalFields": {},
        "recipientPhoneNumber": "={{ $('WhatsApp Trigger').item.json.messages[0].from }}"
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