feat: Add Ollama module

[frankhaugen]

What does this PR do?

Added a new Module project that uses OLLAMA docker images to give local LLM capabilities. This only supports CPU workload, but adding the env. variables to activate GPU if the prerequisites are there, can be done and so CUDA core based processing isn't precluded

Why is it important?

This module is very powerful and can give a lot of value to those that are incorporating OLLAMA models in their projects

Related issues

Link related issues below. Insert the issue link or reference after the word "Closes" if merging this should automatically close it.

• Closes [Enhancement]: Ollama module #1097

How to test this PR

Run the test added

Follow-ups

• Make more docs to guide the user to be able to use GPU might be a future thing, but right now, no need.

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[HofmeisterAn]

Thanks for the PR. I had a quick look and added some minor suggestions and improvements.

[frankhaugen]

@HofmeisterAn I'm updating the branch with my current state as the tests were green on local, but I think it needs another pass. No Rush, I'm busy with my day-job so, no need for you to rush 😄

[eddumelendez]

Thanks for your contribution. Testcontainers for Java and Go has recently release a new Ollama module, which allows to detect and enable GPU and allow to commit the container's state and create a new Image. It would be nice to align the .NET implementation along with the others. See java implementation.

[duranserkan]

Is there any update on this?

[IRusio]

any update on that?

[HofmeisterAn]

I updated the PR to develop. I'll take a look at it sometime next week and address the necessary parts.

[HofmeisterAn]

I updated the module implementation and aligned it with the other Testcontainers module implementations. I also added a text example.

Thanks for your contribution. Testcontainers for Java and Go has recently release a new Ollama module, which allows to detect and enable GPU and allow to commit the container's state and create a new Image. It would be nice to align the .NET implementation along with the others. See java implementation.

I didn't include detecting and setting the GPU configuration, as it's not that simple in .NET (but it's something we can address in the future). I'm also not sure if committing an image is supported in Docker.DotNet. I need to double-check that. It might be something we need to implement first. If someone wants to pick it up, that would be great, but we need to discuss how to address this in an issue first.

// How to set the device requests using the container builder API:
.WithCreateParameterModifier(parameterModifier =>
    parameterModifier.HostConfig.DeviceRequests
        = new List<DeviceRequest> { new DeviceRequest { /* TODO: Set properties. */ } })

[kiview]

I also like to reference the useLocal feature in the tc-go implementation. Pragmatically, it is the best way to get a good DX on macOS.