# Connect Dify to Slack

Source: https://langbot.app/docs/en/recipes/dify/slack

Step-by-step guide to running your Dify app as a Slack bot with LangBot: Dify setup, bot credentials, networking, testing and troubleshooting.

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

Dify builds chat assistants, Chatflows, Agents and Workflows. LangBot calls the published app through its Service API, so prompts, tools and knowledge stay in Dify.

## 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 Dify account or instance that LangBot can reach over the network.
- A Slack workspace where you can install apps, plus **App Configuration Tokens** from the [Slack apps page](https://api.slack.com/apps) for the quick setup assistant.

## Networking

With Socket Mode, LangBot connects out to Slack and no public event URL is needed. Webhook mode needs a publicly reachable HTTPS endpoint.

## 1. Prepare Dify

1. Build and **publish** a Chat Assistant (including Chatflow), Agent or Workflow app in Dify.
2. Open the app's **Access API** page and create an API key.
3. For a Workflow app, output the answer under the key `summary`.

## 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   | **Dify** (official Dify Agent runner plugin)                                          |
| Base URL | `https://api.dify.ai/v1` for Dify Cloud, or your own Dify address with `/v1` appended |
| API Key  | The key from the app's Access API page                                                |

## 3. Create the Slack bot

1. Create a bot with the **Slack** adapter and use **Quick Slack setup**: it creates the app, scopes and event subscriptions for you.
2. Choose **Socket Mode** (recommended) and add an App-Level Token (`xapp-...`), or choose **Webhook** if LangBot has a public HTTPS address. Then fill the adapter configuration and enable the bot.

## 4. Bind and test

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

Message the app from its **Messages** tab, or mention it in a channel it has been added to.

## Troubleshooting

- Self-hosted Dify in Docker on the same host: put both stacks on a shared Docker network and use the container address (for example `http://dify-nginx/v1`), not `localhost`.
- Chatflow apps only return what the Answer node outputs.
- Do not paste the App Configuration Access/Refresh tokens into the App-Level Token field; it needs the `xapp-` token of the same app.
- Leave token rotation disabled for the App-Level Token.
- 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 Slack?

Not necessarily. With Socket Mode, LangBot connects out to Slack and no public event URL is needed. Webhook mode needs a publicly reachable HTTPS endpoint.

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