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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.
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);
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;
}
}
- Text Embedding API -
dashScopeClient.GetTextEmbeddingsAsync()
- Text Generation API(qwen-turbo, qwen-max, etc.) -
dashScopeClient.GetQwenCompletionAsync()
anddashScopeClient.GetQWenCompletionStreamAsync()
- BaiChuan Models - Use
dashScopeClient.GetBaiChuanTextCompletionAsync()
- LLaMa2 Models -
dashScopeClient.GetLlama2TextCompletionAsync()
- Multimodal Generation API(qwen-vl-max, etc.) -
dashScopeClient.GetQWenMultimodalCompletionAsync()
anddashScopeClient.GetQWenMultimodalCompletionStreamAsync()
- Wanx Models(Image generation, background generation, etc)
- Image Synthesis -
CreateWanxImageSynthesisTaskAsync()
andGetWanxImageSynthesisTaskAsync()
- Image Generation -
CreateWanxImageGenerationTaskAsync()
andGetWanxImageGenerationTaskAsync()
- Background Image Generation -
CreateWanxBackgroundGenerationTaskAsync()
andGetWanxBackgroundGenerationTaskAsync()
- Image Synthesis -
- File API that used by Qwen-Long -
dashScopeClient.UploadFileAsync()
anddashScopeClient.DeleteFileAsync
Visit tests for more usage of each api.
var prompt = "hello"
var completion = await client.GetQWenCompletionAsync(QWenLlm.QWenMax, prompt);
Console.WriteLine(completion.Output.Text);
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
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.
Upload file first.
var file = new FileInfo("test.txt");
var uploadedFile = await dashScopeClient.UploadFileAsync(file.OpenRead(), file.Name);
Using uploaded file id in messages.
var history = new List<ChatMessage>
{
new(uploadedFile.Id), // use array for multiple files, e.g. [file1.Id, file2.Id]
new("user", "Summarize the content of file.")
}
var parameters = new TextGenerationParameters()
{
ResultFormat = ResultFormats.Message
};
var completion = await client.GetQWenChatCompletionAsync(QWenLlm.QWenLong, history, parameters);
Console.WriteLine(completion.Output.Choices[0].Message.Content);
Delete file if needed
var deletionResult = await dashScopeClient.DeleteFileAsync(uploadedFile.Id);