Rapid.AI.Ollama.Framework 2.0.3

Rapid.AI.Ollama.Framework

Rapid.AI.Ollama.Framework is a lightweight .NET library that allows developers to interact with locally or remotely running Ollama models. It supports both stateless prompt generation and contextual multi-turn chat conversations using the Ollama REST API.- Say goodbye to API limits and monthly bills. Develop and run a powerful local AI that browses, codes, and thinks.

✨ Features

• 📦 Simple and easy-to-integrate C# API
• 🤖 Ollama Integration: Send prompts and receive completions from local or remote Ollama servers.
• 🧼 Stateful & Stateless Chat: Clearable chat histories to manage conversational memory.
• 🔧 Supports streaming output for prompt generation

🤖 Ollama Gateway (IOllamaGateway)

• Lightweight prompt-based chat and content generation
• Statefull and Stateless by default, with optional history reset

📦 Installation

Install from NuGet.org:

dotnet add package Rapid.AI.Ollama.Framework

Or via Package Manager Console:

Install-Package Rapid.AI.Ollama.Framework

🚀 Getting Started

📦 Prerequisites

• .NET 6 or later
• Ollama running locally (default port http://localhost:11434)
• A downloaded model (e.g., llama3, llama3.2:1b, etc.)

🧱 Example Model Names

• llama3
• llama3.2:1b
• mistral

Any other model available through Ollama

Ensure the model is already pulled by running:

ollama run llama3.2:1b

🧪 Usage

🏭 1. Factory Class

public interface IOllamaGatewayFactory
{
    IOllamaGateway Create(string ollamaUrl, string model);
}

🤖 2. IOllamaGateway

public interface IOllamaGateway
{
    string ChatAsync(string prompt, string model = "");
    void ClearChatHistory();
    string GenerateAsync(string prompt, string model = "");
}

✨ 1. Chat Usage example with Context (Multi-Turn)

var factory = new OllamaGatewayFactory();
var ollama = factory.Create(ollamaUrl, myModel);

string response = ollama.ChatAsync("Tell me about India?");
Console.WriteLine(response);

string responseUpdated = ollama.ChatAsync("What are the best tourist places?");
Console.WriteLine(responseUpdated);

ollama.ClearChatHistory();

✨ 1. Content generation Usage example

var factory = new OllamaGatewayFactory();
var ollama = factory.Create(ollamaUrl, myModel);

string response = ollama.GenerateAsync("Tell me about India?");
Console.WriteLine(response);

🔄 To Clear Chat History:

OllamaClient.ClearChatHistory();

📃 License

MIT License – free to use, modify, and distribute. 📧 support@vedicaai.com or aruna.devadiga@gmail.com

🤝 Contributions

Feature requests and improvements are welcome. Please fork and PR your changes! 📧 support@vedicaai.com or aruna.devadiga@gmail.com