LangBot Docs
Coze

Connect Coze to WeCom Customer Service

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

This recipe puts your Coze app behind a WeCom Customer Service bot. LangBot receives messages from WeCom Customer Service, 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.
  • WeCom Customer Service (WeChat Kefu) with API access: Corporate ID, Secret, and a callback Token and EncodingAESKey.

Networking

Customer Service delivers events to a callback URL, so LangBot needs a public HTTPS address. LangBot Cloud includes one.

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 Customer Service bot

  1. In WeCom Customer Service Developer Settings, generate the Token and EncodingAESKey and enter them with the Corporate ID in a bot using the WeCom Customer Service adapter.
  2. Enable the bot, paste its webhook callback URL into the admin console, then fill in the Secret and restart the bot. Generate the customer service link or QR code users will open.

4. Bind and test

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

Open the customer service link or scan the QR code in WeChat and send 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.
  • Welcome messages can only be sent when WeChat supplies a welcome_code, and only once before it expires.
  • 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 Customer Service?

Yes, or use LangBot Cloud. Customer Service delivers events to a callback URL, so LangBot needs a public HTTPS address. LangBot Cloud includes one.

Does the WeCom Customer Service 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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