OllamaSharp 4.0.0-preview.9

<p align="center">  <img alt="ollama" height="200px" src="https://github.com/awaescher/OllamaSharp/blob/main/Ollama.png"> </p>

OllamaSharp 🦙

OllamaSharp provides .NET bindings for the Ollama API, simplifying interactions with Ollama both locally and remotely.

Features

• Ease of use: Interact with Ollama in just a few lines of code.
• API endpoint coverage: Support for all the Ollama API endpoints, including chats, embeddings, listing models, pulling and creating new models, and more.
• Real-time streaming: Stream responses directly to your application.
• Progress reporting: Get real-time progress feedback on tasks like model pulling.
• Support for vision models and tools (function calling).

Usage

OllamaSharp wraps each Ollama API endpoint in awaitable methods that fully support response streaming.

The following list shows a few simple code examples.

ℹ Try our full-featured Ollama API client app OllamaSharpConsole to interact with your Ollama instance.

Initializing

// set up the client
var uri = new Uri("http://localhost:11434");
var ollama = new OllamaApiClient(uri);

// select a model which should be used for further operations
ollama.SelectedModel = "llama3.1:8b";

Listing all models that are available locally

var models = await ollama.ListLocalModelsAsync();

Pulling a model and reporting progress

await foreach (var status in ollama.PullModelAsync("llama3.1:405b"))
    Console.WriteLine($"{status.Percent}% {status.Status}");

Generating a completion directly into the console

await foreach (var stream in ollama.GenerateAsync("How are you today?"))
    Console.Write(stream.Response);

Building interactive chats

var chat = new Chat(ollama);
while (true)
{
    var message = Console.ReadLine();
    await foreach (var answerToken in chat.SendAsync(message))
        Console.Write(answerToken);
}
// messages including their roles and tool calls will automatically be tracked within the chat object
// and are accessible via the Messages property

Credits

The icon and name were reused from the amazing Ollama project.

I would like to thank all the contributors who take the time to improve OllamaSharp. First and foremost mili-tan, who always keeps OllamaSharp in sync with the Ollama API. ❤