HigLabo.OpenAI 8.0.0.1

See article https://www.codeproject.com/Articles/5372480/Csharp-OpenAI-library-that-support-Assistants-API

How to use? Download via Nuget

HigLabo.OpenAI

All source code is https://github.com/higty/higlabo/tree/master/Net7

HigLabo.OpenAI is that.

You can see sample code at https://github.com/higty/higlabo/blob/master/Net7/HigLabo.OpenAI.SampleConsoleApp/OpenAIPlayground.cs

The main class is OpenAIClient. You create OpenAIClient class for OpenAI API.

C# var apiKey = "your api key of OpenAI"; var client = new OpenAIClient(apiKey); For Azure endpoint.

C# var apiKey = "your api key of OpenAI"; var client = new OpenAIClient(new AzureSettings(apiKey, "https://tinybetter-work-for-our-future.openai.azure.com/", "MyDeploymentName")); Call ChatCompletion endpoint.

C# var p = new ChatCompletionsParameter(); var theme = "How to enjoy coffee"; p.Messages.Add(new ChatMessage(ChatMessageRole.User , $"Can you provide me with some ideas for blog posts about {theme}?")); p.Model = "gpt-3.5-turbo"; var res = await client.ChatCompletionsAsync(p); foreach (var choice in res.Choices) { Console.Write(choice.Message.Content); } Consume ChatCompletion endpoint with server sent event.

C# var theme = "How to enjoy coffee"; await foreach (var chunk in client.ChatCompletionsStreamAsync($"Can you provide me with some ideas for blog posts about {theme}?", "gpt-3.5-turbo")) { foreach (var choice in chunk.Choices) { Console.Write(choice.Delta.Content); } } Console.WriteLine(); Console.WriteLine("DONE"); ChatCompletion with function calling.

C# Shrink ▲
var p = new ChatCompletionsParameter(); //ChatGPT can correct Newyork,Sanflansisco to New york and San Flancisco. p.Messages.Add(new ChatMessage(ChatMessageRole.User, $"I want to know the whether of these locations. Newyork, Sanflansisco, Paris, Tokyo.")); p.Model = "gpt-3.5-turbo";

var tool = new ToolObject("function"); tool.Function = new FunctionObject(); tool.Function.Name = "getWhether"; tool.Function.Description = "This service can get whether of specified location."; tool.Function.Parameters = new { type = "object", properties = new { locationList = new { type = "array", description = "Location list that you want to know.", items = new { type = "string", } } } }; p.Tools = new List<ToolObject>(); p.Tools.Add(tool);

var processor = new ChatCompletionFunctionCallingProcessor(); //You must set Stream property to true to receive server sent event stream on chat completion endpoint. p.Stream = true; await foreach (var chunk in client.GetStreamAsync(p)) { foreach (var choice in chunk.Choices) { Console.Write(choice.Delta.Content); processor.Process(chunk); } } Console.WriteLine();

var f = processor.GetFunctionCall(); if (f != null) { Console.WriteLine("■Function name is " + f.Name); Console.WriteLine("■Arguments is " + f.Arguments); } Console.WriteLine(); Console.WriteLine("DONE"); Upload file for fine tuning or pass to assitants.

C# var p = new FileUploadParameter(); p.SetFile("my_file.pdf", File.ReadAllBytes("D:\Data\my_file.pdf")); p.Purpose = "assistants"; var res = await client.FileUploadAsync(p); Console.WriteLine(res); Image generation

C# var res = await client.ImagesGenerationsAsync("Blue sky and green field."); foreach (var item in res.Data) { Console.WriteLine(item.Url); } Create Assistant via API

C# var p = new AssistantCreateParameter(); p.Name = "Legal tutor"; p.Instructions = "You are a personal legal tutor. Write and run code to legal questions based on passed files."; p.Model = "gpt-4-1106-preview";

p.Tools = new List<ToolObject>(); p.Tools.Add(new ToolObject("code_interpreter")); p.Tools.Add(new ToolObject("retrieval"));

var res = await client.AssistantCreateAsync(p); Console.WriteLine(res); Add files to assistant.

C# var res = await client.FilesAsync(); foreach (var item in res.Data) { if (item.Purpose == "assistants") { var res1 = await cl.AssistantFileCreateAsync(id, item.Id); } } Get run and steps intomarion of thread.

C# var threadId = "thread_xxxxxxxxxxxx"; var res = await client.RunsAsync(threadId); foreach (var item in res.Data) { var res1 = await cl.RunStepsAsync(threadId, item.Id); foreach (var step in res1.Data) { if (step.Step_Details != null) { Console.WriteLine(step.Step_Details.GetDescription()); } } }