Cnblogs.DashScope.Sdk 0.2.1

English | 简体中文

DashScope SDK for .NET

An unofficial DashScope SDK maintained by Cnblogs.

Warning: this project is under active development, Breaking Changes may introduced without notice or major version change. Make sure you read the Release Notes before upgrading.

Quick Start

Console App

Install Cnblogs.DashScope.Sdk package.

var client = new DashScopeClient("your-api-key");
var completion = await client.GetQWenCompletionAsync(QWenLlm.QWenMax, prompt);
Console.WriteLine(completion.Output.Text);

ASP.NET Core

Install the Cnblogs.DashScope.AspNetCore package.

Program.cs

builder.AddDashScopeClient(builder.Configuration);

appsettings.json

{
    "DashScope": {
        "ApiKey": "your-api-key"
    }
}

Usage

public class YourService(IDashScopeClient client)
{
    public async Task<string> CompletePromptAsync(string prompt)
    {
       var completion = await client.GetQWenCompletionAsync(QWenLlm.QWenMax, prompt);
       return completion.Output.Text;
    }
}

Supported APIs

• Text Embedding API - dashScopeClient.GetTextEmbeddingsAsync()
• Text Generation API(qwen-turbo, qwen-max, etc.) - dashScopeClient.GetQwenCompletionAsync() and dashScopeClient.GetQWenCompletionStreamAsync()
• BaiChuan Models - Use dashScopeClient.GetBaiChuanTextCompletionAsync()
• LLaMa2 Models - dashScopeClient.GetLlama2TextCompletionAsync()
• Multimodal Generation API(qwen-vl-max, etc.) - dashScopeClient.GetQWenMultimodalCompletionAsync() and dashScopeClient.GetQWenMultimodalCompletionStreamAsync()
• Wanx Models(Image generation, background generation, etc)
  • Image Synthesis - CreateWanxImageSynthesisTaskAsync() and GetWanxImageSynthesisTaskAsync()
  • Image Generation - CreateWanxImageGenerationTaskAsync() and GetWanxImageGenerationTaskAsync()
  • Background Image Generation - CreateWanxBackgroundGenerationTaskAsync() and GetWanxBackgroundGenerationTaskAsync()

Examples

Visit tests for more usage of each api.

Single Text Completion

var prompt = "hello"
var completion = await client.GetQWenCompletionAsync(QWenLlm.QWenMax, prompt);
Console.WriteLine(completion.Output.Text);

Multi-round chat

var history = new List<ChatMessage>
{
    new("user", "Please remember this number, 42"),
    new("assistant", "I have remembered this number."),
    new("user", "What was the number I metioned before?")
}
var parameters = new TextGenerationParameters()
{
    ResultFormat = ResultFormats.Message
};
var completion = await client.GetQWenChatCompletionAsync(QWenLlm.QWenMax, history, parameters);
Console.WriteLine(completion.Output.Choices[0].Message.Content); // The number is 42

Function Call

Creates a function with parameters

string GetCurrentWeather(GetCurrentWeatherParameters parameters)
{
    // actual implementation should be different.
    return "Sunny, 14" + parameters.Unit switch
    {
        TemperatureUnit.Celsius => "℃",
        TemperatureUnit.Fahrenheit => "℉"
    };
}

public record GetCurrentWeatherParameters(
    [property: Required]
    [property: Description("The city and state, e.g. San Francisco, CA")]
    string Location,
    [property: JsonConverter(typeof(EnumStringConverter<TemperatureUnit>))]
    TemperatureUnit Unit = TemperatureUnit.Celsius);

public enum TemperatureUnit
{
    Celsius,
    Fahrenheit
}

Append tool information to chat messages.

var tools = new List<ToolDefinition>()
{
    new(
        ToolTypes.Function,
        new FunctionDefinition(
            nameof(GetCurrentWeather),
            "Get the weather abount given location",
            new JsonSchemaBuilder().FromType<GetCurrentWeatherParameters>().Build()))
};

var history = new List<ChatMessage>
{
    new("user", "What is the weather today in C.A?")
};

var parameters = new TextGenerationParamters()
{
    ResultFormat = ResultFormats.Message,
    Tools = tools
};

// send question with available tools.
var completion = await client.GetQWenChatCompletionAsync(QWenLlm.QWenMax, history, parameters);
history.Add(completion.Output.Choice[0].Message);

// model responding with tool calls.
Console.WriteLine(completion.Output.Choice[0].Message.ToolCalls[0].Function.Name); // GetCurrentWeather

// calling tool that model requests and append result into history.
var result = GetCurrentWeather(JsonSerializer.Deserialize<GetCurrentWeatherParameters>(completion.Output.Choice[0].Message.ToolCalls[0].Function.Arguments));
history.Add(new("tool", result, nameof(GetCurrentWeather)));

// get back answers.
completion = await client.GetQWenChatCompletionAsync(QWenLlm.QWenMax, history, parameters);
Console.WriteLine(completion.Output.Choice[0].Message.Content);

Append the tool calling result with tool role, then model will generate answers based on tool calling result.