using var api = new OpenAiApi("API_KEY"); string response = await api.Chat.CreateChatCompletionAsync( messages: ["Generate five random words."], model: ModelIdsSharedEnum.Gpt4oMini); Console.WriteLine(response); // "apple, banana, cherry, date, elderberry" var enumerable = api.Chat.CreateChatCompletionAsStreamAsync( messages: ["Generate five random words."], model: ModelIdsSharedEnum.Gpt4oMini); await foreach (string response in enumerable) { Console.WriteLine(response); }

using OpenAI; using CSharpToJsonSchema; public enum Unit { Celsius, Fahrenheit, } public class Weather { public string Location { get; set; } = string.Empty; public double Temperature { get; set; } public Unit Unit { get; set; } public string Description { get; set; } = string.Empty; } [GenerateJsonSchema(Strict = true)] // false by default. You can't use parameters with default values in Strict mode. public interface IWeatherFunctions { [Description("Get the current weather in a given location")] public Task<Weather> GetCurrentWeatherAsync( [Description("The city and state, e.g. San Francisco, CA")] string location, Unit unit, CancellationToken cancellationToken = default); } public class WeatherService : IWeatherFunctions { public Task<Weather> GetCurrentWeatherAsync(string location, Unit unit = Unit.Celsius, CancellationToken cancellationToken = default) { return Task.FromResult(new Weather { Location = location, Temperature = 22.0, Unit = unit, Description = "Sunny", }); } } using var api = new OpenAiApi("API_KEY"); var service = new WeatherService(); var tools = service.AsTools().AsOpenAiTools(); var messages = new List<ChatCompletionRequestMessage> { "You are a helpful weather assistant.".AsSystemMessage(), "What is the current temperature in Dubai, UAE in Celsius?".AsUserMessage(), }; var model = ModelIdsSharedEnum.Gpt4oMini; var result = await api.Chat.CreateChatCompletionAsync( messages, model: model, tools: tools); var resultMessage = result.Choices.First().Message; messages.Add(resultMessage.AsRequestMessage()); foreach (var call in resultMessage.ToolCalls) { var json = await service.CallAsync( functionName: call.Function.Name, argumentsAsJson: call.Function.Arguments); messages.Add(json.AsToolMessage(call.Id)); } var result = await api.Chat.CreateChatCompletionAsync( messages, model: model, tools: tools); var resultMessage = result.Choices.First().Message; messages.Add(resultMessage.AsRequestMessage());

using OpenAI; using var api = new OpenAiApi("API_KEY"); var response = await api.Chat.CreateChatCompletionAsAsync<Weather>( messages: ["Generate random weather."], model: ModelIdsSharedEnum.Gpt4oMini, jsonSerializerOptions: new JsonSerializerOptions { Converters = {new JsonStringEnumConverter()}, }); // or (if you need trimmable/NativeAOT version) var response = await api.Chat.CreateChatCompletionAsAsync( jsonTypeInfo: SourceGeneratedContext.Default.Weather, messages: ["Generate random weather."], model: ModelIdsSharedEnum.Gpt4oMini); // response.Value1 contains the structured output // response.Value2 contains the CreateChatCompletionResponse object

[JsonSourceGenerationOptions(Converters = [typeof(JsonStringEnumConverter<Unit>)])] [JsonSerializable(typeof(Weather))] public partial class SourceGeneratedContext : JsonSerializerContext;

using OpenAI; using var api = CustomProviders.GitHubModels("GITHUB_TOKEN"); using var api = CustomProviders.Azure("API_KEY", "ENDPOINT"); using var api = CustomProviders.DeepInfra("API_KEY"); using var api = CustomProviders.Groq("API_KEY"); using var api = CustomProviders.XAi("API_KEY"); using var api = CustomProviders.DeepSeek("API_KEY"); using var api = CustomProviders.Fireworks("API_KEY"); using var api = CustomProviders.OpenRouter("API_KEY"); using var api = CustomProviders.Together("API_KEY"); using var api = CustomProviders.Perplexity("API_KEY"); using var api = CustomProviders.SambaNova("API_KEY"); using var api = CustomProviders.Mistral("API_KEY"); using var api = CustomProviders.Codestral("API_KEY"); using var api = CustomProviders.Cerebras("API_KEY"); using var api = CustomProviders.Cohere("API_KEY"); using var api = CustomProviders.Ollama(); using var api = CustomProviders.LmStudio();

using OpenAI; // You can try to get the enum from string using: var model = ModelIdsSharedEnumExtensions.ToEnum("gpt-4o") ?? throw new Exception("Invalid model"); // Chat var model = ModelIdsSharedEnum.Gpt4oMini; double? priceInUsd = model.TryGetPriceInUsd( inputTokens: 500, outputTokens: 500) double? priceInUsd = model.TryGetFineTunePriceInUsd( trainingTokens: 500, inputTokens: 500, outputTokens: 500) int contextLength = model.TryGetContextLength() // 128_000 int outputLength = model.TryGetOutputLength() // 16_000 // Embeddings var model = CreateEmbeddingRequestModel.TextEmbedding3Small; int? maxInputTokens = model.TryGetMaxInputTokens() // 8191 double? priceInUsd = model.TryGetPriceInUsd(tokens: 500) // Images double? priceInUsd = CreateImageRequestModel.DallE3.TryGetPriceInUsd( size: CreateImageRequestSize.x1024x1024, quality: CreateImageRequestQuality.Hd) // Speech to Text double? priceInUsd = CreateTranscriptionRequestModel.Whisper1.TryGetPriceInUsd( seconds: 60) // Text to Speech double? priceInUsd = CreateSpeechRequestModel.Tts1Hd.TryGetPriceInUsd( characters: 1000)