How can I integrate an Ollama-based voice control code with n8n for a local AI?

Below is some guidance specifically for a Dockerized n8n on Windows 11:

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1. Verify Your Network Setup

When running n8n inside a Docker container, the container’s notion of “localhost” is different from your host machine’s. If your other code (from Open-LLM-VTuber) is running on your host and trying to reach n8n, you need to:

• Publish n8n’s port to the host (e.g. using Docker’s -p flag).
• Ensure that from your code you are hitting the published endpoint (for example, http://localhost:5678 if you published port 5678).

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2. Using host.docker.internal

If n8n needs to call back into a service running on your host machine (or vice versa) you might need to use the special DNS name host.docker.internal:

• From within the n8n container accessing a host service:
  Instead of using localhost in n8n’s HTTP requests, use host.docker.internal so that the request goes to the host machine’s network.

• From your host calling n8n:
  Calling http://localhost:[your-mapped-port] should work, assuming the port is correctly published.

For example, if your n8n container is started with:

BASHCopied
docker run -it --rm --add-host host.docker.internal:host-gateway --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n

This configuration makes host.docker.internal available inside the n8n container (although note that on Docker Desktop for Windows, this mapping is automatic). You can then adjust any URLs or credentials accordingly if n8n needs to reach a service on your host.

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3. Check n8n Workflow & Webhook Configuration

Since you mentioned that n8n does not respond unless you’re using your SQL DB, verify that:

• The endpoint in your n8n workflow (like a webhook) is correctly set up and accessible:
  Ensure the webhook URL you are targeting is the published URL from your container.

• n8n Credentials / Base URLs are Correct:
  For instance, if you were originally using an Ollama endpoint with http://localhost:11434 and have now changed the destination to n8n’s endpoint, make sure the new URL is reachable from the caller’s environment. If n8n is in Docker and your code is running on the host (or vice versa), using host.docker.internal might be necessary.

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4. Debugging Tips

• Test Connectivity:
  Run a curl command either from your host or by exec’ing into the n8n container. For example:

  BASHCopied
  docker exec -it n8n curl http://host.docker.internal:YOUR_SERVICE_PORT

• Check Logs:
  Use n8n’s UI or Docker logs (using docker logs n8n) to verify whether incoming requests are received or if any errors are being logged.

• Validate the Endpoint:
  Make sure the endpoint that the Open-LLM-VTuber code is calling corresponds exactly to what n8n is expecting. This includes proper HTTP method and any authentication or headers required by your n8n webhook node.

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By carefully setting up your Docker networking—using port publication and possibly the host.docker.internal DNS name—you can ensure that both systems (your local AI code and n8n) talk to each other correctly. Adjust the URL references in your modified code to use these configurations, and verify connectivity with simple test commands.

Hope this helps you integrate your systems smoothly!