Turn LINE chats into fast AI answers. Messages from customers get a helpful reply in seconds. Great for support teams and small shops that need quick help without adding more staff.

A webhook receives each message from LINE as a POST request. A Set step pulls the text from body.events[0].message.text and passes it to Groq’s chat completion API. The AI response is then sent back to LINE using the reply token from the same event, so the user sees the answer in the same chat. Token limits are kept under LINE rules to avoid length or JSON errors with long messages, which keeps replies stable.

You will need a LINE business account and a Groq API key. Map the fields as shown and set max completion tokens below 5000 to fit LINE limits. Expect faster first replies, fewer missed chats, and lower support workload. It fits FAQs, store hours, simple order status checks, and first line triage before a human steps in.

• Webhook trigger captures incoming LINE messages via POST
• Set step extracts body.events[0].message.text for clean input
• HTTP request posts the user message to Groq chat completions with model, temperature, and token limit
• Reply step sends choices[0].message.content back using the LINE reply token
• Header based credentials for both Groq and LINE keep secrets safe
• Token cap below 5000 helps avoid message size and JSON issues
• Direct, single path design keeps latency low and responses fast

• Cut first response time on LINE from minutes to seconds
• Reduce manual chat handling by up to 80% with AI replies
• Handle up to 10 times more chats without adding staff
• Prevent JSON and length errors by capping tokens to fit LINE limits
• Connect LINE and Groq with no custom code to maintain

1. Import the template into n8n: Create a new workflow in n8n > Click the three dots menu > Select 'Import from File' > Choose the downloaded JSON file.
2. You'll need accounts with LINE Messaging API and Groq. See the Tools Required section above for links to create accounts with these services.
3. In LINE Business Center, create or open your Messaging API channel. Copy the Channel access token with messaging permissions.
4. In n8n, open the Line: Messaging API trigger node. Copy the Production Webhook URL and paste it into the Webhook URL field in the LINE console. Enable the webhook in LINE.
5. In the n8n credentials manager, create a new Header Auth credential for LINE. Set Header name to Authorization and value to Bearer YOUR_LINE_CHANNEL_ACCESS_TOKEN. Assign it to the Line: Reply Message node.
6. In the n8n credentials manager, create a new Header Auth credential for Groq. Set Header name to Authorization and value to Bearer YOUR_GROQ_API_KEY. Assign it to the Groq AI Assistant node.
7. Open the Get Messages node and confirm the field maps to body.events[0].message.text. This ensures the exact chat text is sent to Groq.
8. Open the Groq AI Assistant node. Confirm method POST and the body includes messages with role user and the extracted text. Set model, temperature, and set max_completion_tokens below 5000 to fit LINE limits.
9. Open the Line: Reply Message node. Map replyToken to {{$('Line: Messaging API').item.json.body.events[0].replyToken}} and set messages[0].text to {{$('Groq AI Assistant').item.json.choices[0].message.content}}.
10. Switch the webhook to Production in n8n if you tested with the Test URL. Activate the workflow.
11. Send a message to your LINE bot. In n8n, check the execution. Confirm both HTTP requests return 200 and you receive an AI reply in the chat.
12. If no reply appears, verify the webhook is enabled in LINE, the Authorization headers are correct, the replyToken mapping is accurate, and reduce max tokens if messages are too long.