Build a QQ Official Bot AI Bot with OpenAI (ChatGPT models)
Step-by-step guide to running a OpenAI (ChatGPT models)-powered AI bot on QQ Official Bot with LangBot: model setup, bot credentials, networking, testing and troubleshooting.
This recipe puts a OpenAI (ChatGPT models) 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.
Use OpenAI's GPT models with LangBot's built-in Agent, with optional knowledge bases, MCP tools, Skills and a code sandbox.
What you need
- A running LangBot instance: LangBot Cloud (no server needed) or a self-hosted deployment with Docker or
uvx langbot. - A OpenAI (ChatGPT models) 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 OpenAI (ChatGPT models) model
- Create an API key in the OpenAI console.
- In LangBot, open Models, add an LLM model with the provider set to OpenAI and request URL
https://api.openai.com/v1, then paste the API key and the model ID. - Enable Tool Use if the model supports function calling; MCP tools, Skills and the sandbox need it.
- Use a current model ID from OpenAI's model list. Any OpenAI-compatible endpoint works the same way with its own request URL.
2. Create a pipeline
Open Pipelines in the LangBot WebUI, create a pipeline (or edit the default one) and set AI as follows.
| Field | Value |
|---|---|
| Runner | Local Agent (built-in Agent) |
| Model | The model you just added. You can add fallback models. |
| Prompt | Instructions: who the bot is, tone, what it must not do. |
| Knowledge Bases | Optional. Attach a knowledge base so answers come from your documents. |
3. Create the QQ Official Bot bot
- Create a bot with the QQ Official adapter and enter AppID, Token and AppSecret.
- 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
- Region or network errors: LangBot must be able to reach the request URL. Behind a restricted network, use a compatible gateway you can reach.
- 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 OpenAI (ChatGPT models) 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 QQ Official Bot setup guide
- Model configuration
- Other AI back ends on QQ Official Bot: Dify · n8n · Coze · Langflow · DeepSeek
- OpenAI (ChatGPT models) on other platforms: Telegram · Discord · Slack · Lark (Feishu) · DingTalk · WeCom (internal app)
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