Standard.AI.OpenAI
Introduction
Standard.AI.OpenAI is a Standard-Compliant .NET library built on top of OpenAI API RESTful endpoints to enable software engineers to develop AI-Powered solutions in .NET.
Standard-Compliance
This library was built according to The Standard. The library follows engineering principles, patterns and tooling as recommended by The Standard.
This library is also a community effort which involved many nights of pair-programming, test-driven development and in-depth exploration research and design discussions.
Standard-Promise
The most important fulfillment aspect in a Standard complaint system is aimed towards contributing to people, its evolution, and principles. An organization that systematically honors an environment of learning, training, and sharing knowledge is an organization that learns from the past, makes calculated risks for the future, and brings everyone within it up to speed on the current state of things as honestly, rapidly, and efficiently as possible.
We believe that everyone has the right to privacy, and will never do anything that could violate that right. We are committed to writing ethical and responsible software, and will always strive to use our skills, coding, and systems for the good. We believe that these beliefs will help to ensure that our software(s) are safe and secure and that it will never be used to harm or collect personal data for malicious purposes.
The Standard Community as a promise to you is in upholding these values.
How to use this library?
In order to use this library there are prerequists that you must complete before you can write your first AI-Powered C#.NET program. These steps are as follows:
OpenAI Account
You must create an OpenAI account with the following link: Click here
Nuget Package
Install the Standard.AI.OpenAI library in your project. Use the method best suited for your development preference listed at the Nuget Link above or below.
API Keys
Once you've created an OpenAI account. Now, go ahead and generate an API key from the following link: Click here
Hello, World!
Once you've completed the aforementioned steps, let's write our very first program with Standard.AI.OpenAI as follows:
Completions
The following example demonstrate how you can write your first Completions program.
Program.cs
using System;
using System.Threading.Tasks;
using Standard.AI.OpenAI.Clients.OpenAIs;
using Standard.AI.OpenAI.Models.Configurations;
using Standard.AI.OpenAI.Models.Services.Foundations.Completions;
namespace ExampleOpenAIDotNet
{
internal class Program
{
static async Task Main(string[] args)
{
var openAIConfigurations = new OpenAIConfigurations
{
ApiKey = "YOUR_API_KEY_HERE",
OrganizationId = "YOUR_OPTIONAL_ORG_ID_HERE"
};
var openAIClient = new OpenAIClient(openAIConfigurations);
var inputCompletion = new Completion
{
Request = new CompletionRequest
{
Prompts = new string[] { "Human: Hello!" },
Model = "text-davinci-003"
}
};
Completion resultCompletion =
await openAIClient.Completions.PromptCompletionAsync(
inputCompletion);
Array.ForEach(
resultCompletion.Response.Choices,
choice => Console.WriteLine(choice.Text));
}
}
}Chat Completions
The following example demonstrate how you can write your first Chat Completions program.
Program.cs
using System;
using System.Threading.Tasks;
using Standard.AI.OpenAI.Clients.OpenAIs;
using Standard.AI.OpenAI.Models.Configurations;
using Standard.AI.OpenAI.Models.Services.Foundations.ChatCompletions;
namespace ExampleOpenAIDotNet
{
internal class Program
{
static async Task Main(string[] args)
{
var openAIConfigurations = new OpenAIConfigurations
{
ApiKey = "YOUR_API_KEY_HERE",
OrganizationId = "YOUR_OPTIONAL_ORG_ID_HERE"
};
var openAIClient = new OpenAIClient(openAIConfigurations);
var chatCompletion = new ChatCompletion
{
Request = new ChatCompletionRequest
{
Model = "gpt-3.5-turbo",
Messages = new ChatCompletionMessage[]
{
new ChatCompletionMessage
{
Content = "What is c#?",
Role = "user",
}
},
}
};
ChatCompletion resultChatCompletion =
await openAIClient.ChatCompletions.SendChatCompletionAsync(
chatCompletion);
Array.ForEach(
resultChatCompletion.Response.Choices,
choice => Console.WriteLine(
value: $"{choice.Message.Role}: {choice.Message.Content}"));
}
}
}Fine-Tunes
The following example demonstrate how you can write your first Fine-tunes program.
Program.cs
using System;
using System.IO;
using System.Text;
using System.Threading.Tasks;
using Standard.AI.OpenAI.Clients.OpenAIs;
using Standard.AI.OpenAI.Models.Configurations;
using Standard.AI.OpenAI.Models.Services.Foundations.AIFiles;
using Standard.AI.OpenAI.Models.Services.Foundations.FineTunes;
namespace Examples.Standard.AI.OpenAI.Clients.FineTunes
{
internal class Program
{
static async Task Main(string[] args)
{
var openAIConfigurations = new OpenAIConfigurations
{
ApiKey = "YOUR_API_KEY_HERE",
ApiUrl = "https://api.openai.com"
};
IOpenAIClient openAIClient =
new OpenAIClient(openAIConfigurations);
MemoryStream memoryStream = CreateRandomStream();
var aiFile = new AIFile
{
Request = new AIFileRequest
{
Name = "Test",
Content = memoryStream,
Purpose = "fine-tune"
}
};
AIFile file = await openAIClient.AIFiles
.UploadFileAsync(aiFile);
var fineTune = new FineTune();
fineTune.Request = new FineTuneRequest();
fineTune.Request.FileId =
file.Response.Id;
FineTune fineTuneResult =
await openAIClient.FineTuneClient
.SubmitFineTuneAsync(fineTune);
Console.WriteLine(fineTuneResult);
}
private static MemoryStream CreateRandomStream()
{
string content = "{\"prompt\": \"<prompt text>\", \"completion\": \"<ideal generated text>\"}";
return new MemoryStream(Encoding.UTF8.GetBytes(content));
}
}
}Exceptions
Standard.AI.OpenAI may throw following exceptions:
| Exception Name | When it will be thrown |
|---|---|
ChatCompletionClientValidationException |
This exception is thrown when a validation error occurs while using the chat completion client. For example, if required data is missing or invalid. |
ChatCompletionClientDependencyException |
This exception is thrown when a dependency error occurs while using the chat completion client. For example, if a required dependency is unavailable or incompatible. |
ChatCompletionClientServiceException |
This exception is thrown when a service error occurs while using the chat completion client. For example, if there is a problem with the server or any other service failure. |
FineTuneClientValidationException |
This exception is thrown when a validation error occurs while using the fine-tunes client. For example, if required data is missing or invalid. |
FineTuneClientDependencyException |
This exception is thrown when a dependency error occurs while using the fine-tunes client. For example, if a required dependency is unavailable or incompatible. |
FineTuneClientDependencyException |
This exception is thrown when a service error occurs while using the fine-tunes client. For example, if there is a problem with the server or any other service failure. |
How to Contribute
If you want to contribute to this project please review the following documents:
If you have a question make sure you either open an issue or join our The Standard Community discord server.
Live-Sessions
Our live-sessions are scheduled on The Standard Calendar make sure you adjust the time to your city/timezone to be able to join us.
We broadcast on multiple platforms:
Past-Sessions
Here's our live sessions to show you how this library was developed from scratch:
Standard.AI.OpenAI YouTube Playlist
Important Notice
This library is a community effort - it is not associated or maintained by OpenAI in any capacity