LangBot Docs
Coze

Connect Coze to WeCom (internal app)

Step-by-step guide to running your Coze app as a WeCom (internal app) bot with LangBot: Coze setup, bot credentials, networking, testing and troubleshooting.

This recipe puts your Coze app behind a WeCom (internal app) bot. LangBot receives messages from WeCom (internal app), 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 WeCom self-built app: Corporate ID, the app Secret, the Contact Sync Secret, and the callback Token and EncodingAESKey.

Networking

WeCom delivers messages to a callback URL, so LangBot needs a public domain with HTTPS (see reverse proxy and SSL). LangBot Cloud includes a ready-to-use public URL.

1. Prepare Coze

  1. In the Coze developer console, create a token under API Management (coze.com offers Personal Access Tokens; coze.cn also supports service credentials).
  2. 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.

FieldValue
RunnerCoze (official Coze Agent runner plugin)
API KeyThe Coze token
Bot IDThe agent's bot_id
API Base URLhttps://api.coze.cn for coze.cn or https://api.coze.com for coze.com

3. Create the WeCom (internal app) bot

  1. Create a bot with the WeCom adapter, enter the Corporate ID, app Secret and Contact Sync Secret, enable it and copy the webhook callback URL.
  2. In the WeCom admin console, open Receive Messages → Set API Reception, paste the URL, generate the Token and EncodingAESKey, save them in LangBot first and then in WeCom. Add LangBot's outbound IP to Corporate Trusted IP.

4. Bind and test

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

Open the app in the WeCom client and send it a message.

Troubleshooting

  • Calls fail: check the token and bot_id for extra spaces, that the agent was published with the API channel, and that the base URL matches the Coze site.
  • request URL failed when saving the callback: the URL is not publicly reachable over HTTPS, or the Token/EncodingAESKey in LangBot does not match.
  • Replies fail to send: add LangBot's outbound IP to the corporate trusted IP list.
  • 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 WeCom (internal app)?

Yes, or use LangBot Cloud. WeCom delivers messages to a callback URL, so LangBot needs a public domain with HTTPS (see reverse proxy and SSL). LangBot Cloud includes a ready-to-use public URL.

Does the WeCom (internal app) 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.

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