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Combining Semantic Kernel with Podman AI Labs

Yesterday I talked about Podman AI Labs as an alternative to Ollama to run your Large Language Models locally. Among the list of features I noticed the following one:


Mmh, an OpenAI compatible API… That made me wonder if I could use Semantic Kernel to talk to the local service.

Let’s give it a try…

I first add the minimal amount of code to use Semantic Kernel.

Compared to the same code using Ollama there are only 2 important things to notice:

  1. I adapted the URI to match the service URI running inside Podman
  1. I could set the ModelId to any value I want as the endpoint only hosts one specific model(granite in this example)

And just to proof that it really works, here are the results I got back:

    This is again a great example how the abstraction that Semantic Kernel has to offer simplifies interacting with multiple LLM’s.

    Nice!

    IMPORTANT: I first tried to get it working with the latest prerelease of Semantic Kernel(1.18.0-rc). However when I used that version it result in an HTTPException. When I used the latest stable version at the moment of writing(1.17.1), it did work as demonstrated above.

    More information

    Here is the link to a fully working example: wullemsb/PodmanAISemanticKernel: Example of combining Podman AI Lab with Semantic Kernel (github.com)

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