# Connect n8n to WeChat Official Account

Source: https://langbot.app/docs/en/recipes/n8n/wechat-official-account

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

This recipe puts your n8n app behind a WeChat Official Account bot. LangBot receives messages from WeChat Official Account, 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](https://space.langbot.app/cloud) (no server needed) or a [self-hosted deployment](https://langbot.app/docs/en/deploy/langbot/docker.md) with Docker or `uvx langbot`.
- A n8n account or instance that LangBot can reach over the network.
- A WeChat Official Account or Service Account: **AppID**, **AppSecret**, a server **Token** and **EncodingAESKey**, with LangBot's server IP in the **IP whitelist**.

## Networking

Official Accounts require a public domain with HTTPS and must get a response within 5 seconds. Slow AI replies need `passive` or `auto` mode. LangBot Cloud includes a public domain.

## 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](https://space.langbot.app/market).

| Field               | Value                                                      |
| ------------------- | ---------------------------------------------------------- |
| Runner              | **n8n** (official n8n workflow runner plugin)              |
| Webhook URL         | The workflow's production webhook URL                      |
| Authentication Type | None, Basic Auth, JWT or Header, matching the trigger node |

## 3. Create the WeChat Official Account bot

1. Create a bot with the **WeChat Official Account** adapter and choose a reply mode: `drop` (reply within the 5-second callback), `passive` or `auto` (answer later through the customer service API when the account is enterprise-verified).
2. Paste the bot's callback URL into the account's server configuration and save.

## 4. Bind and test

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

Follow the account in WeChat and send it 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.
- Users see the loading message but no answer: in `passive` mode (or after `auto` falls back) the user must send another message to retrieve the queued answer.
- Customer service messages require an enterprise-verified account; identity verification alone is not enough.
- 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 WeChat Official Account?

Yes, or use LangBot Cloud. Official Accounts require a public domain with HTTPS and must get a response within 5 seconds. Slow AI replies need `passive` or `auto` mode. LangBot Cloud includes a public domain.

### Does the WeChat Official Account bot support streaming replies?

Check the [platform feature matrix](https://langbot.app/docs/en/insight/platform-features.md) 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.

## Related guides

- [Full WeChat Official Account setup guide](https://langbot.app/docs/en/usage/platforms/wxoa.md)
- [Full n8n runner guide](https://langbot.app/docs/en/usage/pipelines/n8n.md)
- Other AI back ends on WeChat Official Account: [Dify](https://langbot.app/docs/en/recipes/dify/wechat-official-account.md) · [Coze](https://langbot.app/docs/en/recipes/coze/wechat-official-account.md) · [Langflow](https://langbot.app/docs/en/recipes/langflow/wechat-official-account.md) · [DeepSeek](https://langbot.app/docs/en/recipes/deepseek/wechat-official-account.md) · [OpenAI (ChatGPT models)](https://langbot.app/docs/en/recipes/openai/wechat-official-account.md)
- n8n on other platforms: [Telegram](https://langbot.app/docs/en/recipes/n8n/telegram.md) · [Discord](https://langbot.app/docs/en/recipes/n8n/discord.md) · [Slack](https://langbot.app/docs/en/recipes/n8n/slack.md) · [Lark (Feishu)](https://langbot.app/docs/en/recipes/n8n/lark.md) · [DingTalk](https://langbot.app/docs/en/recipes/n8n/dingtalk.md) · [WeCom (internal app)](https://langbot.app/docs/en/recipes/n8n/wecom.md)