Connect Langflow to WeChat Official Account

This recipe puts your Langflow app behind a WeChat Official Account bot. LangBot receives messages from WeChat Official Account, runs them through a pipeline, and sends the answer back, so you do not write any platform code.

Langflow builds agents and flows with a drag-and-drop editor. LangBot runs a flow through the Langflow API for every message.

What you need

• A running LangBot instance: LangBot Cloud (no server needed) or a self-hosted deployment with Docker or uvx langbot.
• A Langflow account or instance that LangBot can reach over the network.
• A WeChat Official Account or Service Account: AppID, AppSecret, a server Token and EncodingAESKey, with LangBot's server IP in the IP whitelist.

Networking

Official Accounts require a public domain with HTTPS and must get a response within 5 seconds. Slow AI replies need passive or auto mode. LangBot Cloud includes a public domain.

1. Prepare Langflow

1. Build a flow in Langflow (the Simple Agent template is a good start).
2. Create an API key under Settings.
3. Copy the Flow ID from Share → API access.

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.

3. Create the WeChat Official Account bot

1. Create a bot with the WeChat Official Account adapter and choose a reply mode: drop (reply within the 5-second callback), passive or auto (answer later through the customer service API when the account is enterprise-verified).
2. Paste the bot's callback URL into the account's server configuration and save.

4. Bind and test

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

Follow the account in WeChat and send it a message.

Troubleshooting

• Connection refused: http://localhost:7860 only works when Langflow runs on the same host and network namespace as LangBot.
• Users see the loading message but no answer: in passive mode (or after auto falls back) the user must send another message to retrieve the queued answer.
• Customer service messages require an enterprise-verified account; identity verification alone is not enough.
• 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 WeChat Official Account?

Yes, or use LangBot Cloud. Official Accounts require a public domain with HTTPS and must get a response within 5 seconds. Slow AI replies need passive or auto mode. LangBot Cloud includes a public domain.

Does the WeChat Official Account 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 Langflow 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 WeChat Official Account setup guide
• Full Langflow runner guide
• Other AI back ends on WeChat Official Account: Dify · n8n · Coze · DeepSeek · OpenAI (ChatGPT models)
• Langflow on other platforms: Telegram · Discord · Slack · Lark (Feishu) · DingTalk · WeCom (internal app)