Build a KOOK AI Bot with OpenAI (ChatGPT models)
Step-by-step guide to running a OpenAI (ChatGPT models)-powered AI bot on KOOK with LangBot: model setup, bot credentials, networking, testing and troubleshooting.
This recipe puts a OpenAI (ChatGPT models) 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 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 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 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 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
- Region or network errors: LangBot must be able to reach the request URL. Behind a restricted network, use a compatible gateway you can reach.
- 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 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 KOOK setup guide
- Model configuration
- Other AI back ends on KOOK: Dify · n8n · Coze · Langflow · DeepSeek
- OpenAI (ChatGPT models) on other platforms: Telegram · Discord · Slack · Lark (Feishu) · DingTalk · WeCom (internal app)
Build a LINE AI Bot with OpenAI (ChatGPT models)
Step-by-step guide to running a OpenAI (ChatGPT models)-powered AI bot on LINE with LangBot: model setup, bot credentials, networking, testing and troubleshooting.
Build a Mattermost AI Bot with OpenAI (ChatGPT models)
Step-by-step guide to running a OpenAI (ChatGPT models)-powered AI bot on Mattermost with LangBot: model setup, bot credentials, networking, testing and troubleshooting.