Connect Coze to Slack
Step-by-step guide to running your Coze app as a Slack bot with LangBot: Coze setup, bot credentials, networking, testing and troubleshooting.
This recipe puts your Coze 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.
Coze builds agents visually. LangBot calls a Coze bot through the Coze API, so you can reach platforms Coze does not publish to and keep one bot across many channels.
What you need
- A running LangBot instance: LangBot Cloud (no server needed) or a self-hosted deployment with Docker or
uvx langbot. - A Coze 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 Coze
- In the Coze developer console, create a token under API Management (coze.com offers Personal Access Tokens; coze.cn also supports service credentials).
- Publish your agent with the API channel selected and copy its
bot_id.
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.
| Field | Value |
|---|---|
| Runner | Coze (official Coze Agent runner plugin) |
| API Key | The Coze token |
| Bot ID | The agent's bot_id |
| API Base URL | https://api.coze.cn for coze.cn or https://api.coze.com for coze.com |
3. Create the Slack bot
- Create a bot with the Slack adapter and use Quick Slack setup: it creates the app, scopes and event subscriptions for you.
- 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
- Calls fail: check the token and
bot_idfor extra spaces, that the agent was published with the API channel, and that the base URL matches the Coze site. - 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 Coze 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 Coze runner guide
- Other AI back ends on Slack: Dify · n8n · Langflow · DeepSeek · OpenAI (ChatGPT models)
- Coze on other platforms: Telegram · Discord · Lark (Feishu) · DingTalk · WeCom (internal app) · WeCom Intelligent Bot
Connect Coze to Discord
Step-by-step guide to running your Coze app as a Discord bot with LangBot: Coze setup, bot credentials, networking, testing and troubleshooting.
Connect Coze to Lark (Feishu)
Step-by-step guide to running your Coze app as a Lark (Feishu) bot with LangBot: Coze setup, bot credentials, networking, testing and troubleshooting.
