OpenAI-DotNet v8.8.1 — nugetz

Install-Package OpenAI-DotNet

dotnet add package OpenAI-DotNet

using var api = new OpenAIClient("sk-apiKey");

using var api = new OpenAIClient(new OpenAIAuthentication("sk-apiKey", "org-yourOrganizationId", "proj_yourProjectId"));

{
  "apiKey": "sk-aaaabbbbbccccddddd",
  "organizationId": "org-yourOrganizationId",
  "projectId": "proj_yourProjectId"
}

OPENAI_API_KEY=sk-aaaabbbbbccccddddd
OPENAI_ORGANIZATION_ID=org-yourOrganizationId
OPENAI_PROJECT_ID=proj_yourProjectId

using var api = new OpenAIClient(OpenAIAuthentication.LoadFromDirectory("path/to/your/directory"));

using var api = new OpenAIClient(OpenAIAuthentication.LoadFromPath("path/to/your/file.json"));

using var api = new OpenAIClient(OpenAIAuthentication.LoadFromEnvironment());

using var api = new OpenAIClient();

using var customHttpClient = new HttpClient();
// set custom http client properties here
var api = new OpenAIClient(client: customHttpClient);

https://{your-resource-name}.openai.azure.com/openai/deployments/{deployment-id}/chat/completions?api-version={api-version}

var auth = new OpenAIAuthentication("sk-apiKey");
var settings = new OpenAISettings(resourceName: "your-resource-name", deploymentId: "deployment-id", apiVersion: "api-version");
using var api = new OpenAIClient(auth, settings);

// get your access token using any of the MSAL methods
var accessToken = result.AccessToken;
var auth = new OpenAIAuthentication(accessToken);
var settings = new OpenAISettings(resourceName: "your-resource", deploymentId: "deployment-id", apiVersion: "api-version", useActiveDirectoryAuthentication: true);
using var api = new OpenAIClient(auth, settings);

var authToken = await LoginAsync();
var auth = new OpenAIAuthentication($"sess-{authToken}");
var settings = new OpenAISettings(domain: "api.your-custom-domain.com");
using var api = new OpenAIClient(auth, settings);

public partial class Program
{
    private class AuthenticationFilter : AbstractAuthenticationFilter
    {
        public override async Task ValidateAuthenticationAsync(IHeaderDictionary request)
        {
            await Task.CompletedTask; // remote resource call to verify token

            // You will need to implement your own class to properly test
            // custom issued tokens you've setup for your end users.
            if (!request.Authorization.ToString().Contains(TestUserToken))
            {
                throw new AuthenticationException("User is not authorized");
            }
        }
    }

    public static void Main(string[] args)
    {
        var auth = OpenAIAuthentication.LoadFromEnvironment();
        var settings = new OpenAISettings(/* your custom settings if using Azure OpenAI */);
        using var openAIClient = new OpenAIClient(auth, settings);
        OpenAIProxy.CreateWebApplication<AuthenticationFilter>(args, openAIClient).Run();
    }
}

var model = new Model("model-id");

using var api = new OpenAIClient();
var models = await api.ModelsEndpoint.GetModelsAsync();

foreach (var model in models)
{
    Console.WriteLine(model.ToString());
}

using var api = new OpenAIClient();
var model = await api.ModelsEndpoint.GetModelDetailsAsync("gpt-4o");
Console.WriteLine(model.ToString());

using var api = new OpenAIClient();
var isDeleted = await api.ModelsEndpoint.DeleteFineTuneModelAsync("your-fine-tuned-model");
Assert.IsTrue(isDeleted);

var api = new OpenAIClient();
var response = await api.ResponsesEndpoint.CreateModelResponseAsync("Tell me a three sentence bedtime story about a unicorn.");
var responseItem = response.Output.LastOrDefault();
Console.WriteLine($"{messageItem.Role}:{textContent.Text}");
response.PrintUsage();

var api = new OpenAIClient();
var conversation = new List<IResponseItem>
{
    new Message(Role.System, "You are a helpful assistant."),
    new Message(Role.User, "What time is it?"),
};
var tools = new List<Tool>
{
    Tool.GetOrCreateTool(typeof(DateTimeUtility), nameof(DateTimeUtility.GetDateTime))
};
var request = new CreateResponseRequest(conversation, Model.GPT4_1_Nano, tools: tools);

async Task StreamCallback(string @event, IServerSentEvent sseEvent)
{
    switch (sseEvent)
    {
        case Message messageItem:
            conversation.Add(messageItem);
            break;
        case FunctionToolCall functionToolCall:
            conversation.Add(functionToolCall);
            var output = await functionToolCall.InvokeFunctionAsync();
            conversation.Add(output);
            await api.ResponsesEndpoint.CreateModelResponseAsync(new(conversation, Model.GPT4_1_Nano, tools: tools, toolChoice: "none"), StreamCallback);
            break;
    }
}

var response = await api.ResponsesEndpoint.CreateModelResponseAsync(request, StreamCallback);
var responseItem = response.Output.LastOrDefault();
Console.WriteLine($"{responseItem.Role}: {responseItem}");
response.PrintUsage();

var api = new OpenAIClient();
var response = await api.ResponsesEndpoint.GetModelResponseAsync("response-id");
Console.WriteLine(response.ToString());

var api = new OpenAIClient();
var responseInputItems = await api.ResponsesEndpoint.ListInputItemsAsync("response-id");
foreach (var item in responseInputItems)
{
    Console.WriteLine(item.ToJsonString());
}

var api = new OpenAIClient();
var isCancelled = await api.ResponsesEndpoint.CancelModelResponseAsync("response-id");
Assert.IsTrue(isCancelled);

var api = new OpenAIClient();
var isDeleted = await api.ResponsesEndpoint.DeleteModelResponseAsync("response-id");
Assert.IsTrue(isDeleted);

using var api = new OpenAIClient();
var cancellationTokenSource = new CancellationTokenSource();
var tools = new List<Tool>
{
    Tool.FromFunc("goodbye", () =>
    {
        cancellationTokenSource.Cancel();
        return "Goodbye!";
    })
};
var configuration = new SessionConfiguration(Model.GPT4oRealtime, tools: tools);
using var session = await api.RealtimeEndpoint.CreateSessionAsync(configuration);
var responseTask = session.ReceiveUpdatesAsync<IServerEvent>(ServerEvents, cancellationTokenSource.Token);
await session.SendAsync(new ConversationItemCreateRequest("Hello!"));
await session.SendAsync(new CreateResponseRequest());
await session.SendAsync(new InputAudioBufferAppendRequest(new ReadOnlyMemory<byte>(new byte[1024 * 4])), cancellationTokenSource.Token);
await session.SendAsync(new ConversationItemCreateRequest("GoodBye!"));
await session.SendAsync(new CreateResponseRequest());
await responseTask;

void ServerEvents(IServerEvent @event)
{
    switch (@event)
    {
        case ResponseAudioTranscriptResponse transcriptResponse:
            Console.WriteLine(transcriptResponse.ToString());
            break;
        case ResponseFunctionCallArgumentsResponse functionCallResponse:
            if (functionCallResponse.IsDone)
            {
                ToolCall toolCall = functionCallResponse;
                toolCall.InvokeFunction();
            }

            break;
    }
}

var serverEvent = await session.SendAsync(new ConversationItemCreateRequest("Hello!"));
Console.WriteLine(serverEvent.ToJsonString());
serverEvent = await session.SendAsync(new CreateResponseRequest());
Console.WriteLine(serverEvent.ToJsonString());

await foreach (var @event in session.ReceiveUpdatesAsync<IServerEvent>(cts.Token))
{
    switch (@event)
    {
        case RealtimeEventError error:
            // raised anytime an error occurs
            break;
        case SessionResponse sessionResponse:
            // raised when a session is created or updated
            break;
        case RealtimeConversationResponse conversationResponse:
            // raised when a new conversation is created
            break;
        case ConversationItemCreatedResponse conversationItemCreated:
            // raised when a new conversation item is created
            break;
        case ConversationItemInputAudioTranscriptionResponse conversationItemTranscription:
            // raised when the input audio transcription is completed or failed
            break;
        case ConversationItemTruncatedResponse conversationItemTruncated:
            // raised when a conversation item is truncated
            break;
        case ConversationItemDeletedResponse conversationItemDeleted:
            // raised when a conversation item is deleted
            break;
        case InputAudioBufferCommittedResponse committedResponse:
            // raised when an input audio buffer is committed
            break;
        case InputAudioBufferClearedResponse clearedResponse:
            // raised when an input audio buffer is cleared
            break;
        case InputAudioBufferStartedResponse startedResponse:
            // raised when speech is detected in the audio buffer
            break;
        case InputAudioBufferStoppedResponse stoppedResponse:
            // raised when speech stops in the audio buffer
            break;
        case RealtimeResponse realtimeResponse:
            // raised when a response is created or done
            break;
        case ResponseOutputItemResponse outputItemResponse:
            // raised when a response output item is added or done
            break;
        case ResponseContentPartResponse contentPartResponse:
            // raised when a response content part is added or done
            break;
        case ResponseTextResponse textResponse:
            // raised when a response text is updated or done
            break;
        case ResponseAudioTranscriptResponse transcriptResponse:
            // raised when a response audio transcript is updated or done
            break;
        case ResponseFunctionCallArgumentsResponse functionCallResponse:
            // raised when a response function call arguments are updated or done
            break;
        case RateLimitsResponse rateLimitsResponse:
            // raised when rate limits are updated
            break;
    }
}

using var api = new OpenAIClient();
var assistantsList = await api.AssistantsEndpoint.ListAssistantsAsync();

foreach (var assistant in assistantsList.Items)
{
    Console.WriteLine($"{assistant} -> {assistant.CreatedAt}");
}

using var api = new OpenAIClient();
var request = new CreateAssistantRequest(Model.GPT4o);
var assistant = await api.AssistantsEndpoint.CreateAssistantAsync(request);

using var api = new OpenAIClient();
var assistant = await api.AssistantsEndpoint.RetrieveAssistantAsync("assistant-id");
Console.WriteLine($"{assistant} -> {assistant.CreatedAt}");

using var api = new OpenAIClient();
var createRequest = new CreateAssistantRequest(Model.GPT4_Turbo);
var assistant = await api.AssistantsEndpoint.CreateAssistantAsync(createRequest);
var modifyRequest = new CreateAssistantRequest(Model.GPT4o);
var modifiedAssistant = await api.AssistantsEndpoint.ModifyAssistantAsync(assistant.Id, modifyRequest);
// OR AssistantExtension for easier use!
var modifiedAssistantEx = await assistant.ModifyAsync(modifyRequest);

using var api = new OpenAIClient();
var isDeleted = await api.AssistantsEndpoint.DeleteAssistantAsync("assistant-id");
// OR AssistantExtension for easier use!
var isDeleted = await assistant.DeleteAsync();
Assert.IsTrue(isDeleted);

using var api = new OpenAIClient();
var thread = await api.ThreadsEndpoint.CreateThreadAsync();
Console.WriteLine($"Create thread {thread.Id} -> {thread.CreatedAt}");

using var api = new OpenAIClient();
var assistant = await api.AssistantsEndpoint.CreateAssistantAsync(
    new CreateAssistantRequest(
        name: "Math Tutor",
        instructions: "You are a personal math tutor. Answer questions briefly, in a sentence or less.",
        model: Model.GPT4o));
var messages = new List<Message> { "I need to solve the equation `3x + 11 = 14`. Can you help me?" };
var threadRequest = new CreateThreadRequest(messages);
var run = await assistant.CreateThreadAndRunAsync(threadRequest);
Console.WriteLine($"Created thread and run: {run.ThreadId} -> {run.Id} -> {run.CreatedAt}");

using var api = new OpenAIClient();
var tools = new List<Tool>
{
    Tool.GetOrCreateTool(typeof(WeatherService), nameof(WeatherService.GetCurrentWeatherAsync))
};
var assistantRequest = new CreateAssistantRequest(tools: tools, instructions: "You are a helpful weather assistant. Use the appropriate unit based on geographical location.");
var assistant = await api.AssistantsEndpoint.CreateAssistantAsync(assistantRequest);
ThreadResponse thread = null;
async Task StreamEventHandler(IServerSentEvent streamEvent)
{
    switch (streamEvent)
    {
        case ThreadResponse threadResponse:
            thread = threadResponse;
            break;
        case RunResponse runResponse:
            if (runResponse.Status == RunStatus.RequiresAction)
            {
                var toolOutputs = await assistant.GetToolOutputsAsync(runResponse);

                foreach (var toolOutput in toolOutputs)
                {
                    Console.WriteLine($"Tool Output: {toolOutput}");
                }

                await runResponse.SubmitToolOutputsAsync(toolOutputs, StreamEventHandler);
            }
            break;
        default:
            Console.WriteLine(streamEvent.ToJsonString());
            break;
    }
}

var run = await assistant.CreateThreadAndRunAsync("I'm in Kuala-Lumpur, please tell me what's the temperature now?", StreamEventHandler);
run = await run.WaitForStatusChangeAsync();
var messages = await thread.ListMessagesAsync();
foreach (var response in messages.Items.Reverse())
{
    Console.WriteLine($"{response.Role}: {response.PrintContent()}");
}

using var api = new OpenAIClient();
var thread = await api.ThreadsEndpoint.RetrieveThreadAsync("thread-id");
// OR if you simply wish to get the latest state of a thread
thread = await thread.UpdateAsync();
Console.WriteLine($"Retrieve thread {thread.Id} -> {thread.CreatedAt}");

using var api = new OpenAIClient();
var thread = await api.ThreadsEndpoint.CreateThreadAsync();
var metadata = new Dictionary<string, string>
{
    { "key", "custom thread metadata" }
}
thread = await api.ThreadsEndpoint.ModifyThreadAsync(thread.Id, metadata);
// OR use extension method for convenience!
thread = await thread.ModifyAsync(metadata);
Console.WriteLine($"Modify thread {thread.Id} -> {thread.Metadata["key"]}");

using var api = new OpenAIClient();
var isDeleted = await api.ThreadsEndpoint.DeleteThreadAsync("thread-id");
// OR use extension method for convenience!
var isDeleted = await thread.DeleteAsync();
Assert.IsTrue(isDeleted);

using var api = new OpenAIClient();
var messageList = await api.ThreadsEndpoint.ListMessagesAsync("thread-id");
// OR use extension method for convenience!
var messageList = await thread.ListMessagesAsync();

foreach (var message in messageList.Items)
{
    Console.WriteLine($"{message.Id}: {message.Role}: {message.PrintContent()}");
}

using var api = new OpenAIClient();
var thread = await api.ThreadsEndpoint.CreateThreadAsync();
var request = new CreateMessageRequest("Hello world!");
var message = await api.ThreadsEndpoint.CreateMessageAsync(thread.Id, request);
// OR use extension method for convenience!
var message = await thread.CreateMessageAsync("Hello World!");
Console.WriteLine($"{message.Id}: {message.Role}: {message.PrintContent()}");

using var api = new OpenAIClient();
var message = await api.ThreadsEndpoint.RetrieveMessageAsync("thread-id", "message-id");
// OR use extension methods for convenience!
var message = await thread.RetrieveMessageAsync("message-id");
var message = await message.UpdateAsync();
Console.WriteLine($"{message.Id}: {message.Role}: {message.PrintContent()}");

using var api = new OpenAIClient();
var metadata = new Dictionary<string, string>
{
    { "key", "custom message metadata" }
};
var message = await api.ThreadsEndpoint.ModifyMessageAsync("thread-id", "message-id", metadata);
// OR use extension method for convenience!
var message = await message.ModifyAsync(metadata);
Console.WriteLine($"Modify message metadata: {message.Id} -> {message.Metadata["key"]}");

using var api = new OpenAIClient();
var runList = await api.ThreadsEndpoint.ListRunsAsync("thread-id");
// OR use extension method for convenience!
var runList = await thread.ListRunsAsync();

foreach (var run in runList.Items)
{
    Console.WriteLine($"[{run.Id}] {run.Status} | {run.CreatedAt}");
}

using var api = new OpenAIClient();
var assistant = await api.AssistantsEndpoint.CreateAssistantAsync(
    new CreateAssistantRequest(
        name: "Math Tutor",
        instructions: "You are a personal math tutor. Answer questions briefly, in a sentence or less.",
        model: Model.GPT4o));
var thread = await api.ThreadsEndpoint.CreateThreadAsync();
var message = await thread.CreateMessageAsync("I need to solve the equation `3x + 11 = 14`. Can you help me?");
var run = await thread.CreateRunAsync(assistant);
Console.WriteLine($"[{run.Id}] {run.Status} | {run.CreatedAt}");

using var api = new OpenAIClient();
var assistant = await api.AssistantsEndpoint.CreateAssistantAsync(
    new CreateAssistantRequest(
        name: "Math Tutor",
        instructions: "You are a personal math tutor. Answer questions briefly, in a sentence or less. Your responses should be formatted in JSON.",
        model: Model.GPT4o,
        responseFormat: ChatResponseFormat.Json));
var thread = await api.ThreadsEndpoint.CreateThreadAsync();
var message = await thread.CreateMessageAsync("I need to solve the equation `3x + 11 = 14`. Can you help me?");
var run = await thread.CreateRunAsync(assistant, async streamEvent =>
{
    Console.WriteLine(streamEvent.ToJsonString());
    await Task.CompletedTask;
});
var messages = await thread.ListMessagesAsync();

foreach (var response in messages.Items.Reverse())
{
    Console.WriteLine($"{response.Role}: {response.PrintContent()}");
}

using var api = new OpenAIClient();
var run = await api.ThreadsEndpoint.RetrieveRunAsync("thread-id", "run-id");
// OR use extension method for convenience!
var run = await thread.RetrieveRunAsync("run-id");
var run = await run.UpdateAsync();
Console.WriteLine($"[{run.Id}] {run.Status} | {run.CreatedAt}");

using var api = new OpenAIClient();
var metadata = new Dictionary<string, string>
{
    { "key", "custom run metadata" }
};
var run = await api.ThreadsEndpoint.ModifyRunAsync("thread-id", "run-id", metadata);
// OR use extension method for convenience!
var run = await run.ModifyAsync(metadata);
Console.WriteLine($"Modify run {run.Id} -> {run.Metadata["key"]}");

using var api = new OpenAIClient();
var tools = new List<Tool>
{
    // Use a predefined tool
    Tool.Retrieval, Tool.CodeInterpreter,
    // Or create a tool from a type and the name of the method you want to use for function calling
    Tool.GetOrCreateTool(typeof(WeatherService), nameof(WeatherService.GetCurrentWeatherAsync)),
    // Pass in an instance of an object to call a method on it
    Tool.GetOrCreateTool(api.ImagesEndPoint, nameof(ImagesEndpoint.GenerateImageAsync)),
    // Define func<,> callbacks
    Tool.FromFunc("name_of_func", () => { /* callback function */ }),
    Tool.FromFunc<T1,T2,TResult>("func_with_multiple_params", (t1, t2) => { /* logic that calculates return value */ return tResult; })
};
var assistantRequest = new CreateAssistantRequest(tools: tools, instructions: "You are a helpful weather assistant. Use the appropriate unit based on geographical location.");
var testAssistant = await api.AssistantsEndpoint.CreateAssistantAsync(assistantRequest);
var run = await testAssistant.CreateThreadAndRunAsync("I'm in Kuala-Lumpur, please tell me what's the temperature now?");
// waiting while run is Queued and InProgress
run = await run.WaitForStatusChangeAsync();

// Invoke all of the tool call functions and return the tool outputs.
var toolOutputs = await testAssistant.GetToolOutputsAsync(run.RequiredAction.SubmitToolOutputs.ToolCalls);

foreach (var toolOutput in toolOutputs)
{
    Console.WriteLine($"tool call output: {toolOutput.Output}");
}
// submit the tool outputs
run = await run.SubmitToolOutputsAsync(toolOutputs);
// waiting while run in Queued and InProgress
run = await run.WaitForStatusChangeAsync();
var messages = await run.ListMessagesAsync();

foreach (var message in messages.Items.OrderBy(response => response.CreatedAt))
{
    Console.WriteLine($"{message.Role}: {message.PrintContent()}");
}

public class MathResponse
{
    [JsonInclude]
    [JsonPropertyName("steps")]
    public IReadOnlyList<MathStep> Steps { get; private set; }

    [JsonInclude]
    [JsonPropertyName("final_answer")]
    public string FinalAnswer { get; private set; }
}

public class MathStep
{
    [JsonInclude]
    [JsonPropertyName("explanation")]
    public string Explanation { get; private set; }

    [JsonInclude]
    [JsonPropertyName("output")]
    public string Output { get; private set; }
}

using var api = new OpenAIClient();
var assistant = await api.AssistantsEndpoint.CreateAssistantAsync<MathResponse>(
    new CreateAssistantRequest(
        name: "Math Tutor",
        instructions: "You are a helpful math tutor. Guide the user through the solution step by step.",
        model: "gpt-4o-2024-08-06"));
ThreadResponse thread = null;

try
{
    async Task StreamEventHandler(IServerSentEvent @event)
    {
        try
        {
            switch (@event)
            {
                case MessageResponse message:
                    if (message.Status != MessageStatus.Completed)
                    {
                        Console.WriteLine(@event.ToJsonString());
                        break;
                    }

                    var mathResponse = message.FromSchema<MathResponse>();

                    for (var i = 0; i < mathResponse.Steps.Count; i++)
                    {
                        var step = mathResponse.Steps[i];
                        Console.WriteLine($"Step {i}: {step.Explanation}");
                        Console.WriteLine($"Result: {step.Output}");
                    }

                    Console.WriteLine($"Final Answer: {mathResponse.FinalAnswer}");
                    break;
                default:
                    Console.WriteLine(@event.ToJsonString());
                    break;
            }
        }
        catch (Exception e)
        {
            Console.WriteLine(e);
            throw;
        }

        await Task.CompletedTask;
    }

    var run = await assistant.CreateThreadAndRunAsync("how can I solve 8x + 7 = -23", StreamEventHandler);
    thread = await run.GetThreadAsync();
    run = await run.WaitForStatusChangeAsync();
    Console.WriteLine($"Created thread and run: {run.ThreadId} -> {run.Id} -> {run.CreatedAt}");
    var messages = await thread.ListMessagesAsync();

    foreach (var response in messages.Items.OrderBy(response => response.CreatedAt))
    {
        Console.WriteLine($"{response.Role}: {response.PrintContent()}");
    }
}
finally
{
    await assistant.DeleteAsync(deleteToolResources: thread == null);

    if (thread != null)
    {
        var isDeleted = await thread.DeleteAsync(deleteToolResources: true);
    }
}

using var api = new OpenAIClient();
var mathSchema = new JsonSchema("math_response", @"
{
  ""type"": ""object"",
  ""properties"": {
    ""steps"": {
      ""type"": ""array"",
      ""items"": {
        ""type"": ""object"",
        ""properties"": {
          ""explanation"": {
            ""type"": ""string""
          },
          ""output"": {
            ""type"": ""string""
          }
        },
        ""required"": [
          ""explanation"",
          ""output""
        ],
        ""additionalProperties"": false
      }
    },
    ""final_answer"": {
      ""type"": ""string""
    }
  },
  ""required"": [
    ""steps"",
    ""final_answer""
  ],
  ""additionalProperties"": false
}");
var assistant = await api.AssistantsEndpoint.CreateAssistantAsync(
    new CreateAssistantRequest(
        name: "Math Tutor",
        instructions: "You are a helpful math tutor. Guide the user through the solution step by step.",
        model: "gpt-4o-2024-08-06",
        jsonSchema: mathSchema));
ThreadResponse thread = null;

try
{
    var run = await assistant.CreateThreadAndRunAsync("how can I solve 8x + 7 = -23",
        async @event =>
        {
            Console.WriteLine(@event.ToJsonString());
            await Task.CompletedTask;
        });
    thread = await run.GetThreadAsync();
    run = await run.WaitForStatusChangeAsync();
    Console.WriteLine($"Created thread and run: {run.ThreadId} -> {run.Id} -> {run.CreatedAt}");
    var messages = await thread.ListMessagesAsync();

    foreach (var response in messages.Items)
    {
        Console.WriteLine($"{response.Role}: {response.PrintContent()}");
    }
}
finally
{
    await assistant.DeleteAsync(deleteToolResources: thread == null);

    if (thread != null)
    {
        var isDeleted = await thread.DeleteAsync(deleteToolResources: true);
        Assert.IsTrue(isDeleted);
    }
}

using var api = new OpenAIClient();
var runStepList = await api.ThreadsEndpoint.ListRunStepsAsync("thread-id", "run-id");
// OR use extension method for convenience!
var runStepList = await run.ListRunStepsAsync();

foreach (var runStep in runStepList.Items)
{
    Console.WriteLine($"[{runStep.Id}] {runStep.Status} {runStep.CreatedAt} -> {runStep.ExpiresAt}");
}

using var api = new OpenAIClient();
var runStep = await api.ThreadsEndpoint.RetrieveRunStepAsync("thread-id", "run-id", "step-id");
// OR use extension method for convenience!
var runStep = await run.RetrieveRunStepAsync("step-id");
var runStep = await runStep.UpdateAsync();
Console.WriteLine($"[{runStep.Id}] {runStep.Status} {runStep.CreatedAt} -> {runStep.ExpiresAt}");

using var api = new OpenAIClient();
var isCancelled = await api.ThreadsEndpoint.CancelRunAsync("thread-id", "run-id");
// OR use extension method for convenience!
var isCancelled = await run.CancelAsync();
Assert.IsTrue(isCancelled);

using var api = new OpenAIClient();
var vectorStores = await api.VectorStoresEndpoint.ListVectorStoresAsync();

foreach (var vectorStore in vectorStores.Items)
{
    Console.WriteLine(vectorStore);
}

using var api = new OpenAIClient();
var createVectorStoreRequest = new CreateVectorStoreRequest("test-vector-store");
var vectorStore = await api.VectorStoresEndpoint.CreateVectorStoreAsync(createVectorStoreRequest);
Console.WriteLine(vectorStore);

using var api = new OpenAIClient();
var vectorStore = await api.VectorStoresEndpoint.GetVectorStoreAsync("vector-store-id");
Console.WriteLine(vectorStore);

using var api = new OpenAIClient();
var metadata = new Dictionary<string, object> { { "Test", DateTime.UtcNow } };
var vectorStore = await api.VectorStoresEndpoint.ModifyVectorStoreAsync("vector-store-id", metadata: metadata);
Console.WriteLine(vectorStore);

using var api = new OpenAIClient();
var isDeleted = await api.VectorStoresEndpoint.DeleteVectorStoreAsync("vector-store-id");
Assert.IsTrue(isDeleted);

using var api = new OpenAIClient();
var files = await api.VectorStoresEndpoint.ListVectorStoreFilesAsync("vector-store-id");

foreach (var file in vectorStoreFiles.Items)
{
    Console.WriteLine(file);
}

using var api = new OpenAIClient();
var file = await api.VectorStoresEndpoint.CreateVectorStoreFileAsync("vector-store-id", "file-id", new ChunkingStrategy(ChunkingStrategyType.Static));
Console.WriteLine(file);

using var api = new OpenAIClient();
var file = await api.VectorStoresEndpoint.GetVectorStoreFileAsync("vector-store-id", "vector-store-file-id");
Console.WriteLine(file);

using var api = new OpenAIClient();
var isDeleted = await api.VectorStoresEndpoint.DeleteVectorStoreFileAsync("vector-store-id", vectorStoreFile);
Assert.IsTrue(isDeleted);

using var api = new OpenAIClient();
var files = new List<string> { "file_id_1","file_id_2" };
var vectorStoreFileBatch = await api.VectorStoresEndpoint.CreateVectorStoreFileBatchAsync("vector-store-id", files);
Console.WriteLine(vectorStoreFileBatch);

using var api = new OpenAIClient();
var vectorStoreFileBatch = await api.VectorStoresEndpoint.GetVectorStoreFileBatchAsync("vector-store-id", "vector-store-file-batch-id");
// you can also use convenience methods!
vectorStoreFileBatch = await vectorStoreFileBatch.UpdateAsync();
vectorStoreFileBatch = await vectorStoreFileBatch.WaitForStatusChangeAsync();

using var api = new OpenAIClient();
var files = await api.VectorStoresEndpoint.ListVectorStoreBatchFilesAsync("vector-store-id", "vector-store-file-batch-id");

foreach (var file in files.Items)
{
    Console.WriteLine(file);
}

using var api = new OpenAIClient();
var isCancelled = await api.VectorStoresEndpoint.CancelVectorStoreFileBatchAsync("vector-store-id", "vector-store-file-batch-id");

using var api = new OpenAIClient();
var messages = new List<Message>
{
    new Message(Role.System, "You are a helpful assistant."),
    new Message(Role.User, "Who won the world series in 2020?"),
    new Message(Role.Assistant, "The Los Angeles Dodgers won the World Series in 2020."),
    new Message(Role.User, "Where was it played?"),
};
var chatRequest = new ChatRequest(messages, Model.GPT4o);
var response = await api.ChatEndpoint.GetCompletionAsync(chatRequest);
var choice = response.FirstChoice;
Console.WriteLine($"[{choice.Index}] {choice.Message.Role}: {choice.Message} | Finish Reason: {choice.FinishReason}");

using var api = new OpenAIClient();
var messages = new List<Message>
{
    new Message(Role.System, "You are a helpful assistant."),
    new Message(Role.User, "Who won the world series in 2020?"),
    new Message(Role.Assistant, "The Los Angeles Dodgers won the World Series in 2020."),
    new Message(Role.User, "Where was it played?"),
};
var chatRequest = new ChatRequest(messages);
var response = await api.ChatEndpoint.StreamCompletionAsync(chatRequest, async partialResponse =>
{
    Console.Write(partialResponse.FirstChoice.Delta.ToString());
    await Task.CompletedTask;
});
var choice = response.FirstChoice;
Console.WriteLine($"[{choice.Index}] {choice.Message.Role}: {choice.Message} | Finish Reason: {choice.FinishReason}");

using var api = new OpenAIClient();
var messages = new List<Message>
{
    new Message(Role.System, "You are a helpful assistant."),
    new Message(Role.User, "Who won the world series in 2020?"),
    new Message(Role.Assistant, "The Los Angeles Dodgers won the World Series in 2020."),
    new Message(Role.User, "Where was it played?"),
};
var cumulativeDelta = string.Empty;
var chatRequest = new ChatRequest(messages);
await foreach (var partialResponse in api.ChatEndpoint.StreamCompletionEnumerableAsync(chatRequest))
{
    foreach (var choice in partialResponse.Choices.Where(choice => choice.Delta?.Content != null))
    {
        cumulativeDelta += choice.Delta.Content;
    }
}

Console.WriteLine(cumulativeDelta);

using var api = new OpenAIClient();
var messages = new List<Message>
{
    new(Role.System, "You are a helpful weather assistant. Always prompt the user for their location."),
    new Message(Role.User, "What's the weather like today?"),
};

foreach (var message in messages)
{
    Console.WriteLine($"{message.Role}: {message}");
}

// Define the tools that the assistant is able to use:
// 1. Get a list of all the static methods decorated with FunctionAttribute
var tools = Tool.GetAllAvailableTools(includeDefaults: false, forceUpdate: true, clearCache: true);
// 2. Define a custom list of tools:
var tools = new List<Tool>
{
    Tool.GetOrCreateTool(objectInstance, "TheNameOfTheMethodToCall"),
    Tool.FromFunc("a_custom_name_for_your_function", ()=> { /* Some logic to run */ })
};
var chatRequest = new ChatRequest(messages, tools: tools, toolChoice: "auto");
var response = await api.ChatEndpoint.GetCompletionAsync(chatRequest);
messages.Add(response.FirstChoice.Message);

Console.WriteLine($"{response.FirstChoice.Message.Role}: {response.FirstChoice} | Finish Reason: {response.FirstChoice.FinishReason}");

var locationMessage = new Message(Role.User, "I'm in Glasgow, Scotland");
messages.Add(locationMessage);
Console.WriteLine($"{locationMessage.Role}: {locationMessage.Content}");
chatRequest = new ChatRequest(messages, tools: tools, toolChoice: "auto");
response = await api.ChatEndpoint.GetCompletionAsync(chatRequest);

messages.Add(response.FirstChoice.Message);

if (response.FirstChoice.FinishReason == "stop")
{
    Console.WriteLine($"{response.FirstChoice.Message.Role}: {response.FirstChoice} | Finish Reason: {response.FirstChoice.FinishReason}");

    var unitMessage = new Message(Role.User, "Fahrenheit");
    messages.Add(unitMessage);
    Console.WriteLine($"{unitMessage.Role}: {unitMessage.Content}");
    chatRequest = new ChatRequest(messages, tools: tools, toolChoice: "auto");
    response = await api.ChatEndpoint.GetCompletionAsync(chatRequest);
}

// iterate over all tool calls and invoke them
foreach (var toolCall in response.FirstChoice.Message.ToolCalls)
{
    Console.WriteLine($"{response.FirstChoice.Message.Role}: {toolCall.Function.Name} | Finish Reason: {response.FirstChoice.FinishReason}");
    Console.WriteLine($"{toolCall.Function.Arguments}");
    // Invokes function to get a generic json result to return for tool call.
    var functionResult = await toolCall.InvokeFunctionAsync();
    // If you know the return type and do additional processing you can use generic overload
    var functionResult = await toolCall.InvokeFunctionAsync<string>();
    messages.Add(new Message(toolCall, functionResult));
    Console.WriteLine($"{Role.Tool}: {functionResult}");
}
// System: You are a helpful weather assistant.
// User: What's the weather like today?
// Assistant: Sure, may I know your current location? | Finish Reason: stop
// User: I'm in Glasgow, Scotland
// Assistant: GetCurrentWeather | Finish Reason: tool_calls
// {
//   "location": "Glasgow, Scotland",
//   "unit": "celsius"
// }
// Tool: The current weather in Glasgow, Scotland is 39°C.

using var api = new OpenAIClient();
var messages = new List<Message>
{
    new Message(Role.System, "You are a helpful assistant."),
    new Message(Role.User, new List<Content>
    {
        "What's in this image?",
        new ImageUrl("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", ImageDetail.Low)
    })
};
var chatRequest = new ChatRequest(messages, model: Model.GPT4o);
var response = await api.ChatEndpoint.GetCompletionAsync(chatRequest);
Console.WriteLine($"{response.FirstChoice.Message.Role}: {response.FirstChoice.Message.Content} | Finish Reason: {response.FirstChoice.FinishDetails}");

using var api = new OpenAIClient();
var messages = new List<Message>
{
    new Message(Role.System, "You are a helpful assistant."),
    new Message(Role.User, "Is a golden retriever a good family dog?")
};
var chatRequest = new ChatRequest(messages, Model.GPT4oAudio, audioConfig: Voice.Alloy);
var response = await api.ChatEndpoint.GetCompletionAsync(chatRequest);
Console.WriteLine($"{response.FirstChoice.Message.Role}: {response.FirstChoice} | Finish Reason: {response.FirstChoice.FinishDetails}");
// todo play response.FirstChoice.Message.AudioOutput.Data

public class MathResponse
{
    [JsonInclude]
    [JsonPropertyName("steps")]
    public IReadOnlyList<MathStep> Steps { get; private set; }

    [JsonInclude]
    [JsonPropertyName("final_answer")]
    public string FinalAnswer { get; private set; }
}

public class MathStep
{
    [JsonInclude]
    [JsonPropertyName("explanation")]
    public string Explanation { get; private set; }

    [JsonInclude]
    [JsonPropertyName("output")]
    public string Output { get; private set; }
}

using var api = new OpenAIClient();
var messages = new List<Message>
{
    new(Role.System, "You are a helpful math tutor. Guide the user through the solution step by step."),
    new(Role.User, "how can I solve 8x + 7 = -23")
};

var chatRequest = new ChatRequest(messages, model: "gpt-4o-2024-08-06");
var (mathResponse, chatResponse) = await api.ChatEndpoint.GetCompletionAsync<MathResponse>(chatRequest);

for (var i = 0; i < mathResponse.Steps.Count; i++)
{
    var step = mathResponse.Steps[i];
    Console.WriteLine($"Step {i}: {step.Explanation}");
    Console.WriteLine($"Result: {step.Output}");
}

Console.WriteLine($"Final Answer: {mathResponse.FinalAnswer}");
chatResponse.GetUsage();

var messages = new List<Message>
{
    new Message(Role.System, "You are a helpful assistant designed to output JSON."),
    new Message(Role.User, "Who won the world series in 2020?"),
};
var chatRequest = new ChatRequest(messages, Model.GPT4o, responseFormat: ChatResponseFormat.Json);
var response = await api.ChatEndpoint.GetCompletionAsync(chatRequest);

foreach (var choice in response.Choices)
{
    Console.WriteLine($"[{choice.Index}] {choice.Message.Role}: {choice} | Finish Reason: {choice.FinishReason}");
}

response.GetUsage();

using var api = new OpenAIClient();
var request = new SpeechRequest("Hello World!");
async Task ChunkCallback(ReadOnlyMemory<byte> chunkCallback)
{
    // TODO Implement audio playback as chunks arrive
    await Task.CompletedTask;
}

var response = await api.AudioEndpoint.CreateSpeechAsync(request, ChunkCallback);
await File.WriteAllBytesAsync("../../../Assets/HelloWorld.mp3", response.ToArray());

using var api = new OpenAIClient();
using var request = new AudioTranscriptionRequest(Path.GetFullPath(audioAssetPath), language: "en");
var response = await api.AudioEndpoint.CreateTranscriptionTextAsync(request);
Console.WriteLine(response);

using var api = new OpenAIClient();
using var request = new AudioTranscriptionRequest(transcriptionAudio, responseFormat: AudioResponseFormat.Verbose_Json, timestampGranularity: TimestampGranularity.Word, temperature: 0.1f, language: "en");
var response = await api.AudioEndpoint.CreateTranscriptionTextAsync(request);

foreach (var word in response.Words)
{
    Console.WriteLine($"[{word.Start}-{word.End}] \"{word.Word}\"");
}

using var api = new OpenAIClient();
using var request = new AudioTranslationRequest(Path.GetFullPath(audioAssetPath));
var response = await api.AudioEndpoint.CreateTranslationTextAsync(request);
Console.WriteLine(response);

using var api = new OpenAIClient();
var request = new ImageGenerationRequest("A house riding a velociraptor", Models.Model.DallE_3);
var imageResults = await api.ImagesEndPoint.GenerateImageAsync(request);

foreach (var image in imageResults)
{
    Console.WriteLine(image);
    // image == url or b64_string
}

using var api = new OpenAIClient();
var request = new ImageEditRequest(imageAssetPath, maskAssetPath, "A sunlit indoor lounge area with a pool containing a flamingo", size: ImageSize.Small);
var imageResults = await api.ImagesEndPoint.CreateImageEditAsync(request);

foreach (var image in imageResults)
{
    Console.WriteLine(image);
    // image == url or b64_string
}

using var api = new OpenAIClient();
var request = new ImageVariationRequest(imageAssetPath, size: ImageSize.Small);
var imageResults = await api.ImagesEndPoint.CreateImageVariationAsync(request);

foreach (var image in imageResults)
{
    Console.WriteLine(image);
    // image == url or b64_string
}

using var api = new OpenAIClient();
var fileList = await api.FilesEndpoint.ListFilesAsync();

foreach (var file in fileList)
{
    Console.WriteLine($"{file.Id} -> {file.Object}: {file.FileName} | {file.Size} bytes");
}

using var api = new OpenAIClient();
var file = await api.FilesEndpoint.UploadFileAsync("path/to/your/file.jsonl", FilePurpose.FineTune);
Console.WriteLine(file.Id);

using var api = new OpenAIClient();
var isDeleted = await api.FilesEndpoint.DeleteFileAsync(fileId);
Assert.IsTrue(isDeleted);

using var api = new OpenAIClient();
var file = await api.FilesEndpoint.GetFileInfoAsync(fileId);
Console.WriteLine($"{file.Id} -> {file.Object}: {file.FileName} | {file.Size} bytes");

using var api = new OpenAIClient();
var downloadedFilePath = await api.FilesEndpoint.DownloadFileAsync(fileId, "path/to/your/save/directory");
Console.WriteLine(downloadedFilePath);
Assert.IsTrue(File.Exists(downloadedFilePath));

using var api = new OpenAIClient();
var fileId = "file-abc123";
var request = new CreateFineTuneRequest(fileId);
var job = await api.FineTuningEndpoint.CreateJobAsync(Model.GPT3_5_Turbo, request);
Console.WriteLine($"Started {job.Id} | Status: {job.Status}");

using var api = new OpenAIClient();
var jobList = await api.FineTuningEndpoint.ListJobsAsync();

foreach (var job in jobList.Items.OrderByDescending(job => job.CreatedAt))
{
    Console.WriteLine($"{job.Id} -> {job.CreatedAt} | {job.Status}");
}

using var api = new OpenAIClient();
var job = await api.FineTuningEndpoint.GetJobInfoAsync(fineTuneJob);
Console.WriteLine($"{job.Id} -> {job.CreatedAt} | {job.Status}");

using var api = new OpenAIClient();
var isCancelled = await api.FineTuningEndpoint.CancelFineTuneJobAsync(fineTuneJob);
Assert.IsTrue(isCancelled);

using var api = new OpenAIClient();
var eventList = await api.FineTuningEndpoint.ListJobEventsAsync(fineTuneJob);
Console.WriteLine($"{fineTuneJob.Id} -> status: {fineTuneJob.Status} | event count: {eventList.Events.Count}");

foreach (var @event in eventList.Items.OrderByDescending(@event => @event.CreatedAt))
{
    Console.WriteLine($"  {@event.CreatedAt} [{@event.Level}] {@event.Message}");
}

using var api = new OpenAIClient();
var batches = await api.BatchEndpoint.ListBatchesAsync();

foreach (var batch in listResponse.Items)
{
    Console.WriteLine(batch);
}

using var api = new OpenAIClient();
var batchRequest = new CreateBatchRequest("file-id", Endpoint.ChatCompletions);
var batch = await api.BatchEndpoint.CreateBatchAsync(batchRequest);

using var api = new OpenAIClient();
var batch = await api.BatchEndpoint.RetrieveBatchAsync("batch-id");
// you can also use convenience methods!
batch = await batch.UpdateAsync();
batch = await batch.WaitForStatusChangeAsync();

using var api = new OpenAIClient();
var isCancelled = await api.BatchEndpoint.CancelBatchAsync(batch);
Assert.IsTrue(isCancelled);

using var api = new OpenAIClient();
var response = await api.EmbeddingsEndpoint.CreateEmbeddingAsync("The food was delicious and the waiter...", Models.Embedding_Ada_002);
Console.WriteLine(response);

using var api = new OpenAIClient();
var isViolation = await api.ModerationsEndpoint.GetModerationAsync("I want to kill them.");
Assert.IsTrue(isViolation);

using var api = new OpenAIClient();
var response = await api.ModerationsEndpoint.CreateModerationAsync(new ModerationsRequest("I love you"));
Assert.IsNotNull(response);
Console.WriteLine(response.Results?[0]?.Scores?.ToString());

RageAgainstThePixel/OpenAI-DotNetv8.8.1

Get Started

Readme

OpenAI-DotNet

Requirements

Getting started

Install from NuGet

Table of Contents

Pass keys directly with constructor

Load key from configuration file

Json format

Deprecated format

Use System Environment Variables

Handling OpenAIClient and HttpClient Lifecycle

Front End Example

Back End Example

Simple Response With Text

Streaming Response with Function Calling

Create Realtime Session

Client Events

Sending Client Events

Server Events

Receiving Server Events

Create Thread and Run Streaming

Create Thread Run Streaming