Hi!
In previous posts I shared how to host and chat with a Llama 2 model hosted locally with Ollama. (view post).
And then I also found OllamaSharp (nuget package and repo).
_OllamaSharp is a .NET binding for the Ollama API, making it easy to interact with Ollama using your favorite .NET languages.
So, I decided to try it, and create a Chat Completion and a Text Generation specific implementation for Semantic Kernel using this library.
The full test is a console app using both services with Semantic Kernel.
Text Generation Service
The Text Generation Service is an easy one. Just implement the interface Microsoft.SemanticKernel.TextGeneration.ITextGenerationService , and the generated code looks like this:
Chat Completion Service
The chat completion, requires the implementation of the interface: IChatCompletionService. The code looks like this:
Test Chat Completion and Text Generation Services
With both services implemented, we can now code with Semantic Kernel to access these services.
The following code:
Creates 2 services: text and chat, both with ollamasharp implementation
Create a semantic kernel builder, register both services, and build a kernel.
Using the kernel run a text generation sample, and later a chat history sample.
In the chat sample, it also uses a System Message to define the chat behavior for the conversation.
This is a test, there are a lot of improvements that can be made here.
The full code is available here: https://github.com/elbruno/semantickernel-localLLMs. And the main readme of the repo also needs to be updated.
Happy coding!
Greetings
El Bruno
More posts in my blog ElBruno.com.
More info in https://beacons.ai/elbruno
