Connect Langflow to Slack

This recipe puts your Langflow 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.

Langflow builds agents and flows with a drag-and-drop editor. LangBot runs a flow through the Langflow API 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 Langflow 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 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 Langflow

1. Build a flow in Langflow (the Simple Agent template is a good start).
2. Create an API key under Settings.
3. Copy the Flow ID from Share → API access.

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.

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

• Connection refused: http://localhost:7860 only works when Langflow runs on the same host and network namespace as LangBot.
• 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 for what this platform supports. Replies are delivered once the AI back end has finished.

Can the same Langflow 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
• Full Langflow runner guide
• Other AI back ends on Slack: Dify · n8n · Coze · DeepSeek · OpenAI (ChatGPT models)
• Langflow on other platforms: Telegram · Discord · Lark (Feishu) · DingTalk · WeCom (internal app) · WeCom Intelligent Bot