#pragmawarning disable SKEXP0001usingMicrosoft.SemanticKernel;usingMicrosoft.SemanticKernel.Connectors.OpenAI;usingSystem;usingSystem.ComponentModel;usingSystem.Globalization;varchatModelId ="gpt-4o";varkey = File.ReadAllText(@"C:\GPT\key.txt");varbuilder =Kernel.CreateBuilder(); builder.AddOpenAIChatComp...
<PackageReference Include="Microsoft.SemanticKernel" Version="1.7.1" /> <PackageReference Include="NAudio" Version="2.2.1" /> </ItemGroup> 下面是具体代码,核心是在定义准确性的方法时,通过KernelFunction特性和Description特性来让SK知道这是一个Plugins,并且用Description的描述来映射自然语言的语义,包括提取...
比如,如果想要在Kernel中导入ConversationSummaryPlugin插件,我们可以使用以下的代码: KernelPlugin conversationSummaryPlugin = kernel.ImportPluginFromType<ConversationSummaryPlugin>; 在深入探讨SemanticKernel Plugins.Core 系统内置插件的强大功能之外,值得一提的是,SemanticKernel的扩展性同样令人兴奋。框架不仅提供了一套丰...
varkernel = Kernel.CreateBuilder.AddOpenAIChatCompletion(modelId:"gpt-3.5-turbo",apiKey:"这里填写在https://api.token-ai.cn/创建的令牌",httpClient:newHttpClient(newOpenAIHttpClientHandler("https://api.token-ai.cn/"))).Build;// 加载时间插件kernel.Plugins.AddFromType<TimeInformationPlugin>; // ...
builder.Plugins.AddFromObject(_store); _kernel = builder.Build(); _history = new ChatHistory("所有水果的单价(Price)单位是斤),所有数量都是斤。"); _chatCompletionService = _kernel.GetRequiredService<IChatCompletionService>(); _openAIPromptExecutionSettings = new OpenAIPromptExecutionSettings() ...
Plugins are a key component of Semantic Kernel. If you have already used plugins from ChatGPT or Copilot extensions in Microsoft 365, you’re already familiar with them. With plugins, you can encapsulate your existing APIs into a collection that can be used by an AI. This allows you to ...
Plugins are a key component of Semantic Kernel. If you have already used plugins from ChatGPT or Copilot extensions in Microsoft 365, you’re already familiar with them. With plugins, you can encapsulate your existing APIs into a collection that can be used by an AI. This allows you to ...
using System.Reflection;using config;using Microsoft.Extensions.DependencyInjection;using Microsoft.Extensions.Logging;using Microsoft.SemanticKernel;using Microsoft.SemanticKernel.ChatCompletion;using Microsoft.SemanticKernel.Connectors.OpenAI;using Microsoft.SemanticKernel.PromptTemplates.Handlebars;using Plugins;varker...
第二步:通过修改 Semantic Kernel 官方提供的 Hugging Face Plugins 示例 来测试 OpenVINO Plugin 的效果,该示例基于 Embedding 和 Text completion 模型构建了一个最小化的 RAG 任务 pipeline。此处只需要把原始的 Hugging Face service 对象替换为我们刚刚构建的 OpenVINOTextEmbedding 和 OpenVINOTextCompletion 对象,其...
创建一个 BaseCore 项目,在这个项目中复用重复的代码,编写各种示例时可以复用相同的代码,引入 Microsoft.KernelMemory 包。 因为开发时需要使用到密钥等相关信息,因此不太好直接放到代码里面,这时可以使用环境变量或者 json文件存储相关私密数据。 以管理员身份启动 powershell 或 cmd,添加环境变量后立即生效,不过需要重启...