Build a WeCom Intelligent Bot AI Bot with Ollama

This recipe puts a Ollama model behind a WeCom Intelligent Bot bot. LangBot receives messages from WeCom Intelligent Bot, runs them through a pipeline, and sends the answer back, so you do not write any platform code.

Run open models locally with Ollama and serve them through LangBot's built-in Agent, so conversations never leave your machines.

What you need

• A running LangBot instance: LangBot Cloud (no server needed) or a self-hosted deployment with Docker or uvx langbot.
• A Ollama account or server you can call from LangBot.
• A WeCom intelligent bot in long connection API mode: its BotID and long-connection Secret. One-click setup can fill both.

Networking

Long connection mode needs no public callback URL. The alternative callback-URL mode does, and the two modes cannot be used at the same time.

1. Add the Ollama model

1. Install Ollama and pull a model (for example ollama pull followed by the model name).
2. In LangBot, open Models and add an LLM model with the provider set to Ollama and the request URL pointing at your Ollama server (by default port 11434).
3. If LangBot runs in Docker, localhost is the container itself: use the host's address (for example host.docker.internal) instead.

2. Create a pipeline

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

3. Create the WeCom Intelligent Bot bot

1. Create a bot with the WeCom Intelligent Bot adapter and use One-Click Setup, or create the bot in WeCom, switch its API mode to long connection and enter the BotID and Secret.
2. Set the bot's visibility scope so the right people can use it, then save and enable.

4. Bind and test

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

Find the bot in the WeCom client, chat with it directly, then add it to a group chat and mention it.

Troubleshooting

• Small local models may not support tool calling well; leave Tool Use off for models that do not support it.
• The long-connection Secret differs from the callback Token/EncodingAESKey. Switching the API mode to callback URL invalidates existing long connections.
• 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 Intelligent Bot?

No. Long connection mode needs no public callback URL. The alternative callback-URL mode does, and the two modes cannot be used at the same time.

Does the WeCom Intelligent Bot 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 Ollama 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 WeCom Intelligent Bot setup guide
• Model configuration
• Other AI back ends on WeCom Intelligent Bot: Dify · n8n · Coze · Langflow · DeepSeek
• Ollama on other platforms: Telegram · Discord · Slack · Lark (Feishu) · DingTalk · WeCom (internal app)