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Build a QQ Official Bot AI Bot with Ollama

Step-by-step guide to running a Ollama-powered AI bot on QQ Official Bot with LangBot: model setup, bot credentials, networking, testing and troubleshooting.

This recipe puts a Ollama model behind a QQ Official Bot bot. LangBot receives messages from QQ Official 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 bot registered on the QQ Open Platform: AppID, Token and AppSecret, with LangBot's server IP in the IP whitelist.

Networking

The QQ Official Bot API (webhook) requires a public IP and working HTTPS. LangBot Cloud includes a public domain.

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.

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 QQ Official Bot bot

  1. Create a bot with the QQ Official adapter and enter AppID, Token and AppSecret.
  2. Copy the bot's webhook callback URL, replace the host with your HTTPS domain, and save it as the request address in the QQ management portal. Add test users in the sandbox settings.

4. Bind and test

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

As a sandbox member, message the bot in a private chat or @mention it in a sandbox group.

Troubleshooting

  • Small local models may not support tool calling well; leave Tool Use off for models that do not support it.
  • Saving the request address fails: the domain is not reachable over HTTPS or the path does not end with /bots/<bot id>.
  • 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 QQ Official Bot?

Yes, or use LangBot Cloud. The QQ Official Bot API (webhook) requires a public IP and working HTTPS. LangBot Cloud includes a public domain.

Does the QQ Official Bot 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 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.

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On this page

What you needNetworking1. Add the Ollama model2. Create a pipeline3. Create the QQ Official Bot bot4. Bind and testTroubleshootingFAQDo I need a server with a public IP for QQ Official Bot?Does the QQ Official Bot bot support streaming replies?Can the same Ollama setup serve other platforms too?Related guides