Connect Dify to Lark (Feishu)
Step-by-step guide to running your Dify app as a Lark (Feishu) bot with LangBot: Dify setup, bot credentials, networking, testing and troubleshooting.
This recipe puts your Dify app behind a Lark (Feishu) bot. LangBot receives messages from Lark (Feishu), 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 (no server needed) or a self-hosted deployment with Docker or
uvx langbot. - A Dify account or instance that LangBot can reach over the network.
- A Feishu or Lark custom app (
app_idandapp_secret). The one-click setup in LangBot can create and authorize it for you.
Networking
The default WebSocket long connection needs no public IP. Where long connection is unavailable (for example some Lark international setups), webhook mode requires a public HTTPS address; LangBot Cloud includes one.
1. Prepare Dify
- Build and publish a Chat Assistant (including Chatflow), Agent or Workflow app in Dify.
- Open the app's Access API page and create an API key.
- 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.
| 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 Lark (Feishu) bot
- Create a bot with the Lark adapter, select the platform domain (Feishu or Lark) and use One-Click Setup, or enter
app_idandapp_secretmanually. - Add the message permissions and event subscriptions from the guide (and the card permissions if you want streaming cards), then publish an app version.
4. Bind and test
Open the bot, select the pipeline you created, save and make sure the bot is enabled.
Search for the bot in Feishu/Lark, send it a direct message, then add it to a group and mention it.
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), notlocalhost. - Chatflow apps only return what the Answer node outputs.
- No messages arrive: confirm the app version is published and the event subscription uses the same mode (long connection or webhook) as LangBot.
- 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 Lark (Feishu)?
Not necessarily. The default WebSocket long connection needs no public IP. Where long connection is unavailable (for example some Lark international setups), webhook mode requires a public HTTPS address; LangBot Cloud includes one.
Does the Lark (Feishu) bot support streaming replies?
Yes. Enable streaming on the bot; the AI back end must also stream. See the platform feature matrix for details.
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 Lark (Feishu) setup guide
- Full Dify runner guide
- Other AI back ends on Lark (Feishu): n8n · Coze · Langflow · DeepSeek · OpenAI (ChatGPT models)
- Dify on other platforms: Telegram · Discord · Slack · DingTalk · WeCom (internal app) · WeCom Intelligent Bot
Connect Dify to Slack
Step-by-step guide to running your Dify app as a Slack bot with LangBot: Dify setup, bot credentials, networking, testing and troubleshooting.
Connect Dify to DingTalk
Step-by-step guide to running your Dify app as a DingTalk bot with LangBot: Dify setup, bot credentials, networking, testing and troubleshooting.
