OpenAI 1.2.0

Prefix Reserved
Additional Details

OpenAI SDK package versions prior to v1.3 will not work with the current OpenAI API due to breaking changes with the OpenAI API.  Please update to at least v1.3 of the SDK to restore functionality.

There is a newer version of this package available.
See the version list below for details.
dotnet add package OpenAI --version 1.2.0                
NuGet\Install-Package OpenAI -Version 1.2.0                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="OpenAI" Version="1.2.0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add OpenAI --version 1.2.0                
#r "nuget: OpenAI, 1.2.0"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install OpenAI as a Cake Addin
#addin nuget:?package=OpenAI&version=1.2.0

// Install OpenAI as a Cake Tool
#tool nuget:?package=OpenAI&version=1.2.0                

C#/.NET SDK for accessing the OpenAI GPT-3 API

A simple C# .NET wrapper library to use with OpenAI's GPT-3 API. More context on my blog.

Examples

var api = new OpenAI_API.OpenAIAPI(engine: Engine.Davinci);

var result = await api.Completions.CreateCompletionAsync("One Two Three One Two", temperature: 0.1);
Console.WriteLine(result.ToString());
// should print something starting with "Three"
var api = new OpenAI_API.OpenAIAPI("sk-mysecretkeyhere"););

var result = await api.Search.GetBestMatchAsync("Washington DC", "Canada", "China", "USA", "Spain");
Console.WriteLine(result);
// should print "USA"

Requirements

This library is based on .NET Standard 2.0, so it should work across .NET Framework >=4.7.2 and .NET Core >= 3.0. It should work across console apps, winforms, wpf, asp.net, etc (although I have not yet tested with asp.net). It should work across Windows, Linux, and Mac, although I have only tested on Windows so far.

Getting started

Install from NuGet

Install package OpenAI from Nuget. Here's how via commandline:

Install-Package OpenAI

Authentication

There are 3 ways to provide your API keys, in order of precedence:

  1. Pass keys directly to APIAuthentication(string key) constructor
  2. Set environment var for OPENAI_KEY
  3. Include a config file in the local directory or in your user directory named .openai and containing one or both lines:
OPENAI_KEY=sk-aaaabbbbbccccddddd

You use the APIAuthentication when you initialize the API as shown:

// for example
OpenAIAPI api = new OpenAIAPI("sk-mykeyhere"); // shorthand
// or
OpenAIAPI api = new OpenAIAPI(new APIAuthentication("sk-secretkey")); // create object manually
// or
OpenAIAPI api = new OpenAIAPI(APIAuthentication LoadFromEnv()); // use env vars
// or
OpenAIAPI api = new OpenAIAPI(APIAuthentication LoadFromPath()); // use config file (can optionally specify where to look)
// or
OpenAIAPI api = new OpenAIAPI(); // uses default, env, or config file

Completions

The Completion API is accessed via OpenAIAPI.Completions:

CreateCompletionAsync(CompletionRequest request)

// for example
var result = await api.Completions.CreateCompletionAsync(new CompletionRequest("One Two Three One Two", temperature: 0.1));
// or
var result = await api.Completions.CreateCompletionAsync("One Two Three One Two", temperature: 0.1);
// or other convenience overloads

You can create your CompletionRequest ahead of time or use one of the helper overloads for convenience. It returns a CompletionResult which is mostly metadata, so use its .ToString() method to get the text if all you want is the completion.

Streaming

Streaming allows you to get results are they are generated, which can help your application feel more responsive, especially on slow models like Davinci.

Using the new C# 8.0 async iterators:

IAsyncEnumerable<CompletionResult> StreamCompletionEnumerableAsync(CompletionRequest request)

// for example
await foreach (var token in api.Completions.StreamCompletionEnumerableAsync(new CompletionRequest("My name is Roger and I am a principal software engineer at Salesforce.  This is my resume:", 200, 0.5, presencePenalty: 0.1, frequencyPenalty: 0.1)))
{
	Console.Write(token);
}

Or if using .NET framework or C# <8.0:

StreamCompletionAsync(CompletionRequest request, Action<CompletionResult> resultHandler)

// for example
await api.Completions.StreamCompletionAsync(
	new CompletionRequest("My name is Roger and I am a principal software engineer at Salesforce.  This is my resume:", 200, 0.5, presencePenalty: 0.1, frequencyPenalty: 0.1),
	res => ResumeTextbox.Text += res.ToString());

The Search API is accessed via OpenAIAPI.Search:

You can get all results as a dictionary using

GetSearchResultsAsync(SearchRequest request)

// for example
var request = new SearchRequest()
{
	Query = "Washington DC",
	Documents = new List<string> { "Canada", "China", "USA", "Spain" }
};
var result = await api.Search.GetSearchResultsAsync(request);
// result["USA"] == 294.22
// result["Spain"] == 73.81

The returned dictionary maps documents to scores. You can create your SearchRequest ahead of time or use one of the helper overloads for convenience, such as

GetSearchResultsAsync(string query, params string[] documents)

// for example
var result = await api.Search.GetSearchResultsAsync("Washington DC", "Canada", "China", "USA", "Spain");

You can get only the best match using

GetBestMatchAsync(request)

And if you only want the best match but still want to know the score, use

GetBestMatchWithScoreAsync(request)

Each of those methods has similar convenience overloads to specify the request inline.

Finetuning

I don't yet have access to finetuning, but once I do I will add it to this SDK. Subscribe to this repo if you want to be alerted.

Documentation

Every single class, method, and property has extensive XML documentation, so it should show up automatically in IntelliSense. That combined with the official OpenAI documentation should be enough to get started. Feel free to ping me on Twitter @OkGoDoIt if you have any questions. Better documentation may come later.

License

CC-0 Public Domain

This library is licensed CC-0, in the public domain. You can use it for whatever you want, publicly or privately, without worrying about permission or licensing or whatever. It's just a wrapper around the OpenAI API, so you still need to get access to OpenAI from them directly. I am not affiliated with OpenAI and this library is not endorsed by them, I just have beta access and wanted to make a C# library to access it more easily. Hopefully others find this useful as well. Feel free to open a PR if there's anything you want to contribute.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (51)

Showing the top 5 NuGet packages that depend on OpenAI:

Package Downloads
Azure.AI.OpenAI

Azure OpenAI's official extension package for using OpenAI's .NET library with the Azure OpenAI Service.

Microsoft.SemanticKernel.Connectors.OpenAI

Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.

Newguys.Sport

Package Description

Aspire.Azure.AI.OpenAI

A client for Azure OpenAI that integrates with Aspire, including logging and telemetry.

Rystem.PlayFramework

Rystem.PlayFramework helps you to use concepts like multi agent and openai.

GitHub repositories (11)

Showing the top 5 popular GitHub repositories that depend on OpenAI:

Repository Stars
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
Azure/azure-sdk-for-net
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/dotnet/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-net.
SciSharp/BotSharp
AI Multi-Agent Framework in .NET
OfficeDev/Microsoft-Teams-Samples
Welcome to the Microsoft Teams samples repository. Here you will find task-focused samples in C#, JavaScript and TypeScript to help you get started with the Microsoft Teams App!
VladislavAntonyuk/MauiSamples
.NET MAUI Samples
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1.11.0 413,907 3/13/2024
1.10.0 208,615 12/14/2023
1.9.0 20,382 12/12/2023
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1.7.1 1,348 4/2/2023
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1.2.0 41,939 12/22/2020 1.2.0 is deprecated because it is no longer maintained and has critical bugs.
1.1.0 1,768 7/28/2020 1.1.0 is deprecated because it is no longer maintained and has critical bugs.
1.0.0 4,402 7/23/2020 1.0.0 is deprecated because it is no longer maintained and has critical bugs.

Added support for "echo" parameter, which echos back the prompt in responses (thanks to @GotMike!)  Removed support for publishable API keys (and renamed secret keys to simply API keys) since OpenAI no longer supports publishable keys.  Also fixed various typos in the documentation.