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Ollama

Build a KOOK AI Bot with Ollama

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

This recipe puts a Ollama 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.

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 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 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 KOOK bot

  1. Create a bot with the KOOK adapter and enter the Bot Token.
  2. 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

  • Small local models may not support tool calling well; leave Tool Use off for models that do not support it.
  • 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 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 KOOK bot4. Bind and testTroubleshootingFAQDo I need a server with a public IP for KOOK?Does the KOOK bot support streaming replies?Can the same Ollama setup serve other platforms too?Related guides