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Connect n8n to WeCom Customer Service

Step-by-step guide to running your n8n app as a WeCom Customer Service bot with LangBot: n8n setup, bot credentials, networking, testing and troubleshooting.

This recipe puts your n8n app behind a WeCom Customer Service bot. LangBot receives messages from WeCom Customer Service, runs them through a pipeline, and sends the answer back, so you do not write any platform code.

n8n runs the workflow; LangBot handles the chat platform, sessions and delivery and calls your workflow through a webhook for every message.

What you need

  • A running LangBot instance: LangBot Cloud (no server needed) or a self-hosted deployment with Docker or uvx langbot.
  • A n8n account or instance that LangBot can reach over the network.
  • WeCom Customer Service (WeChat Kefu) with API access: Corporate ID, Secret, and a callback Token and EncodingAESKey.

Networking

Customer Service delivers events to a callback URL, so LangBot needs a public HTTPS address. LangBot Cloud includes one.

1. Prepare n8n

  1. Start the workflow with a Webhook or On chat message trigger. Set Response Mode to Streaming if you want streamed replies.
  2. Answer with an AI Agent node (streaming) or a Respond to Webhook node whose response key matches LangBot's output key.
  3. Click Active to enable the workflow and copy its production webhook URL.

2. Create a pipeline

Open Pipelines in the LangBot WebUI, create a pipeline (or edit the default one) and set AI as follows. If the runner is not listed, install the official runner plugin from Plugins or the LangBot Space marketplace.

FieldValue
Runnern8n (official n8n workflow runner plugin)
Webhook URLThe workflow's production webhook URL
Authentication TypeNone, Basic Auth, JWT or Header, matching the trigger node

3. Create the WeCom Customer Service bot

  1. In WeCom Customer Service Developer Settings, generate the Token and EncodingAESKey and enter them with the Corporate ID in a bot using the WeCom Customer Service adapter.
  2. Enable the bot, paste its webhook callback URL into the admin console, then fill in the Secret and restart the bot. Generate the customer service link or QR code users will open.

4. Bind and test

Open the bot, select the pipeline you created, save and make sure the bot is enabled.

Open the customer service link or scan the QR code in WeChat and send a message.

Troubleshooting

  • Empty replies: the key in Respond to Webhook must match the output key configured in LangBot.
  • The test URL only works while the n8n editor is listening; use the production URL of an active workflow.
  • Welcome messages can only be sent when WeChat supplies a welcome_code, and only once before it expires.
  • Check Monitoring in the WebUI: every message, pipeline run and error is recorded there.

FAQ

Do I need a server with a public IP for WeCom Customer Service?

Yes, or use LangBot Cloud. Customer Service delivers events to a callback URL, so LangBot needs a public HTTPS address. LangBot Cloud includes one.

Does the WeCom Customer Service bot support streaming replies?

Check the platform feature matrix for what this platform supports. Replies are delivered once the AI back end has finished.

Can the same n8n setup serve other platforms too?

Yes. A pipeline can be bound to many bots, so one configuration can answer on several platforms at once.

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