# Connect n8n to WeCom Intelligent Bot

Source: https://langbot.app/docs/en/recipes/n8n/wecombot

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

This recipe puts your n8n app behind a WeCom Intelligent Bot bot. LangBot receives messages from WeCom Intelligent Bot, 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 WeCom intelligent bot in **long connection** API mode: its **BotID** and long-connection **Secret**. One-click setup can fill both.

## Networking

Long connection mode needs no public callback URL. The alternative callback-URL mode does, and the two modes cannot be used at the same time.

## 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 WeCom Intelligent Bot bot

1. Create a bot with the **WeCom Intelligent Bot** adapter and use **One-Click Setup**, or create the bot in WeCom, switch its API mode to **long connection** and enter the BotID and Secret.
2. Set the bot's visibility scope so the right people can use it, then save and enable.

## 4. Bind and test

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

Find the bot in the WeCom client, chat with it directly, then add it to a group chat and mention it.

## 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.
- The long-connection Secret differs from the callback Token/EncodingAESKey. Switching the API mode to callback URL invalidates existing long connections.
- 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 Intelligent Bot?

No. Long connection mode needs no public callback URL. The alternative callback-URL mode does, and the two modes cannot be used at the same time.

### Does the WeCom Intelligent Bot bot support streaming replies?

Yes. Enable streaming on the bot; the AI back end must also stream. See the [platform feature matrix](https://langbot.app/docs/en/insight/platform-features.md) for details.

### 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 WeCom Intelligent Bot setup guide](https://langbot.app/docs/en/usage/platforms/wecom/wecombot.md)
- [Full n8n runner guide](https://langbot.app/docs/en/usage/pipelines/n8n.md)
- Other AI back ends on WeCom Intelligent Bot: [Dify](https://langbot.app/docs/en/recipes/dify/wecombot.md) · [Coze](https://langbot.app/docs/en/recipes/coze/wecombot.md) · [Langflow](https://langbot.app/docs/en/recipes/langflow/wecombot.md) · [DeepSeek](https://langbot.app/docs/en/recipes/deepseek/wecombot.md) · [OpenAI (ChatGPT models)](https://langbot.app/docs/en/recipes/openai/wecombot.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)