Semantic Kernel for Java

<dependency><groupId>com.microsoft.semantic-kernel</groupId><artifactId>semantickernel-api</artifactId><version>1.0.0</version></dependency><dependency><groupId>com.microsoft.semantic-kernel</groupId><artifactId>semantickernel-aiservices-openai</artifactId><version>1.0.0</version></dependency>

importcom.microsoft.semantickernel.Kernel;importcom.microsoft.semantickernel.aiservices.openai.chatcompletion.OpenAIChatCompletion;@ConfigurationpublicclassSemanticKernelConfig{@Value("${azure.openai.endpoint}")privateString endpoint;@Value("${azure.openai.key}")privateString apiKey;@Value("${azure.openai.deployment}")privateString deploymentName;@BeanpublicKernelsemanticKernel(){// Create the chat completion serviceOpenAIChatCompletion chatService =OpenAIChatCompletion.builder().withModelId(deploymentName).withEndpoint(endpoint).withApiKey(apiKey).build();// Build the kernel with the servicereturnKernel.builder().withAIService(OpenAIChatCompletion.class, chatService).build();}}

importcom.microsoft.semantickernel.semanticfunctions.annotations.DefineKernelFunction;importcom.microsoft.semantickernel.semanticfunctions.annotations.KernelFunctionParameter;publicclassWeatherPlugin{@DefineKernelFunction(
name ="getWeather",
description ="Gets the current weather for a specified city")publicStringgetWeather(@KernelFunctionParameter(
name ="city",
description ="The city to get weather for")String city
){// Call actual weather APIreturn weatherService.getCurrentWeather(city);}@DefineKernelFunction(
name ="getForecast",
description ="Gets the 5-day weather forecast")publicList<DailyForecast>getForecast(@KernelFunctionParameter(name ="city")String city,@KernelFunctionParameter(name ="days", defaultValue ="5")int days
){return weatherService.getForecast(city, days);}}// Register the plugin with the kernelKernel kernel =Kernel.builder().withAIService(OpenAIChatCompletion.class, chatService).withPlugin(KernelPluginFactory.createFromObject(newWeatherPlugin(),"WeatherPlugin")).build();

importcom.microsoft.semantickernel.semanticfunctions.KernelFunction;importcom.microsoft.semantickernel.semanticfunctions.KernelFunctionFromPrompt;// Create a semantic function from a prompt templateKernelFunction<String> summarize =KernelFunctionFromPrompt.<String>builder().withTemplate("""
Summarize the following text in {{$style}} style:
{{$input}}
Summary:
""").withDefaultExecutionSettings(PromptExecutionSettings.builder().withMaxTokens(200).withTemperature(0.7).build()).build();// Invoke the functionKernelFunctionArguments args =KernelFunctionArguments.builder().withVariable("input", longDocument).withVariable("style","professional").build();String summary = kernel.invokeAsync(summarize).withArguments(args).block().getResult();

importcom.microsoft.semantickernel.planner.handlebars.HandlebarsPlan;importcom.microsoft.semantickernel.planner.handlebars.HandlebarsPlanner;// Create a plannerHandlebarsPlanner planner =newHandlebarsPlanner();// Generate a plan from a goalString goal ="Find the weather in Seattle and send a summary email to the team";HandlebarsPlan plan = planner.createPlanAsync(kernel, goal).block();// Review the plan (optional)System.out.println("Generated Plan:\n"+ plan.getPlan());// Execute the planString result = plan.invokeAsync(kernel).block().getResult();