Get started with SemanticKernel

dotnet add package Cnblogs.SemanticKernel.Connectors.DashScope

usingMicrosoft.SemanticKernel;varbuilder=Kernel.CreateBuilder();builder.Services.AddDashScopeChatCompletion("your-api-key","qwen-max");varkernel=builder.Build();varprompt="<message role=\"user\">Tell me about the Cnblogs</message>";varresponse=awaitkernel.InvokePromptAsync(prompt);Console.WriteLine(response);

ASP.NET Core with KernelMemory support

{"dashScope": {"apiKey":"your-key","chatCompletionModelId":"qwen-max","textEmbeddingModelId":"text-embedding-v3"  }}

// Kernel Memory stuffvarmemory=newKernelMemoryBuilder(builder.Services).WithDashScope(builder.Configuration).Build();builder.Services.AddSingleton(memory);// SK stuffbuilder.Services.AddDashScopeChatCompletion(builder.Configuration);builder.Services.AddSingleton(    sp=>{varplugins=newKernelPluginCollection();plugins.AddFromObject(newMemoryPlugin(sp.GetRequiredService<IKernelMemory>(),waitForIngestionToComplete:true),"memory");returnnewKernel(sp,plugins);});

publicclassYourService(Kernelkernel,IKernelMemorymemory){publicasyncTask<string>GetCompletionAsync(stringprompt){varchatResult=awaitkernel.InvokePromptAsync(prompt);returnchatResult.ToString();}publicasyncTaskImportDocumentAsync(stringfilePath,stringdocumentId){awaitmemory.ImportDocumentAsync(filePath,documentId);}publicasyncTask<string>AskMemoryAsync(stringquestion){// use memory.ask to query kernel memoryvarskPrompt="""                       Question to Kernel Memory: {{$input}}                       Kernel Memory Answer: {{memory.ask $input}}                       If the answer is empty say 'I don't know' otherwise reply with a preview of the answer, truncated to 15 words.                       """;// you can bundle created functions into a singleton service to reuse themvarmyFunction=kernel.CreateFunctionFromPrompt(skPrompt);varresult=awaitmyFunction.InvokeAsync(question);returnresult.ToString();}}