Build a KOOK AI Bot with Qwen
Step-by-step guide to running a Qwen-powered AI bot on KOOK with LangBot: model setup, bot credentials, networking, testing and troubleshooting.
This recipe puts a Qwen model behind a KOOK bot. LangBot receives messages from KOOK, runs them through a pipeline, and sends the answer back, so you do not write any platform code.
Use Alibaba Cloud's Qwen models through Model Studio (DashScope) with LangBot's built-in Agent.
What you need
- A running LangBot instance: LangBot Cloud (no server needed) or a self-hosted deployment with Docker or
uvx langbot. - A Qwen account or server you can call from LangBot.
- A bot created in the KOOK developer center and its Bot Token.
Networking
The KOOK adapter only needs a bot token; LangBot connects out to KOOK.
1. Add the Qwen model
- Create an API key in the Aliyun Bailian (DashScope) console.
- In LangBot, open Models, add an LLM model with the provider set to Aliyun Bailian (DashScope) and request URL
https://dashscope.aliyuncs.com/compatible-mode/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 Qwen model ID listed in Model Studio.
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 KOOK bot
- Create a bot with the KOOK adapter and enter the Bot Token.
- Grant the bot permissions and invite it to your server.
4. Bind and test
Open the bot, select the pipeline you created, save and make sure the bot is enabled.
Send a message that matches the trigger rules in a channel the bot can read.
Troubleshooting
- International accounts use a different DashScope endpoint; copy the OpenAI-compatible URL shown in your console.
- No reply in a channel: check the bot's channel permissions and the pipeline's group trigger rules.
- 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 KOOK?
No. The KOOK adapter only needs a bot token; LangBot connects out to KOOK.
Does the KOOK 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 Qwen 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 KOOK setup guide
- Model configuration
- Other AI back ends on KOOK: Dify · n8n · Coze · Langflow · DeepSeek
- Qwen on other platforms: Telegram · Discord · Slack · Lark (Feishu) · DingTalk · WeCom (internal app)
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