LangBot Docs
Claude

Build a Lark (Feishu) AI Bot with Claude

Step-by-step guide to running a Claude-powered AI bot on Lark (Feishu) with LangBot: model setup, bot credentials, networking, testing and troubleshooting.

This recipe puts a Claude model 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.

Use Anthropic's Claude models with LangBot's built-in Agent, including tool use with MCP servers, Skills and the code sandbox.

What you need

  • A running LangBot instance: LangBot Cloud (no server needed) or a self-hosted deployment with Docker or uvx langbot.
  • A Claude account or server you can call from LangBot.
  • A Feishu or Lark custom app (app_id and app_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. Add the Claude model

  1. Create an API key in the Anthropic console.
  2. In LangBot, open Models, add an LLM model with the provider set to Anthropic, then paste the API key and the model ID.
  3. Enable Tool Use if the model supports function calling; MCP tools, Skills and the sandbox need it.
  4. Keep the provider's default request URL unless you use a gateway. Use a current Claude model ID from Anthropic's documentation.

2. Create a pipeline

Open Pipelines in the LangBot WebUI, create a pipeline (or edit the default one) and set AI as follows.

FieldValue
RunnerLocal Agent (built-in Agent)
ModelThe model you just added. You can add fallback models.
PromptInstructions: who the bot is, tone, what it must not do.
Knowledge BasesOptional. Attach a knowledge base so answers come from your documents.

3. Create the Lark (Feishu) bot

  1. Create a bot with the Lark adapter, select the platform domain (Feishu or Lark) and use One-Click Setup, or enter app_id and app_secret manually.
  2. 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

  • The agent never calls tools: enable Tool Use on the model.
  • 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 Claude setup serve other platforms too?

Yes. A pipeline can be bound to many bots, so one configuration can answer on several platforms at once.

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