AIHelperLibrary 1.0.1

AIHelperLibrary

Overview

The AIHelperLibrary is a modular and reusable .NET library for integrating with OpenAI's API. Designed for flexibility and efficiency, it supports creating dynamic prompts, managing chatbot sessions, and generating AI-driven responses with ease. Whether you're building simple AI integrations or complex, context-aware chatbot systems, this library provides the tools to streamline development.

Features

Core Functionality

• OpenAI Client:

  • Supports models like GPT-3.5-Turbo, GPT-4, GPT-4o, GPT-4o-Mini, GPT-o1, and GPT-o1-Mini.
  • Configurable retry logic, proxy support, and error handling.

• Dynamic Prompt Management:

  • Define, store, and reuse custom prompts programmatically.
  • Contextual system prompts to customize AI behavior.

• Chatbot Session Management:

  • Maintain multi-turn conversations with persistent context.
  • Configurable chat history size for memory management.

• Advanced Configuration:

  • Fine-tune responses using temperature, token limits, and sampling parameters.
  • Proxy support for restricted environments.

Additional Features

• Built-in Retry Logic: Robust retry mechanism with configurable delay.
• Logging Support: Optional logging of requests and responses for debugging.

Installation

Install the package via NuGet:

Install-Package AIHelperLibrary -Version 1.0.1

Or via the .NET CLI:

dotnet add package AIHelperLibrary --version 1.0.1

Getting Started

Configuration Example

Define your preferences using AIExtensionHelperConfiguration:

using AIHelperLibrary.Configurations;
using AIHelperLibrary.Services;

var config = new AIExtensionHelperConfiguration
{
    DefaultModel = AIModel.GPT_4,
    MaxTokens = 200,
    Temperature = 0.7,
    TopP = 1.0,
    RequestTimeoutMs = 10000,
    EnableLogging = true
};

var client = new OpenAIClient("your-api-key", config);

Generate AI Responses

Custom Prompt

Send a freeform prompt to the AI:

var response = await client.GenerateTextAsync("Explain the difference between AI and machine learning.");
Console.WriteLine(response);

Predefined Prompts

Use built-in templates for common tasks:

var predefinedPrompt = PromptManager.GetPrompt(PromptType.Summarize);
var summary = await client.GenerateTextWithPredefinedPromptAsync(predefinedPrompt, "Artificial intelligence is transforming the world...");
Console.WriteLine(summary);

Dynamic Prompts

Define and reuse custom prompts programmatically:

var promptManager = new DynamicPromptManager();
promptManager.AddPrompt("Greeting", "Greet the user warmly and politely.");

var response = await client.GenerateTextWithDynamicPromptAsync(promptManager, "Greeting", "Hi there!");
Console.WriteLine(response);

Chatbot Sessions

Maintain multi-turn conversations with persistent context:

var chatResponse = await client.GenerateChatResponseAsync(
    "CustomerSupportBot",
    "What are your working hours?",
    "You are a polite and helpful customer support assistant."
);
Console.WriteLine(chatResponse);

Supported Models

Contribution

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a feature branch.
3. Submit a pull request.

License

This library is open-source and licensed under the MIT License.

Contact

For support or inquiries, reach out via GitHub or email at ns.dev.contact@gmail.com.