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af03e00a79
### Motivation, Context and Description This PR introduces several changes aimed to simplify the kernel and enhancing its extensibility for AI services management. The changes include the following: 1. Kernel simplification and extensibility: The code responsible for AI services management, such as registration and resolution, has been moved out of the Kernel and KernelConfig classes into a new class called AIServiceProvider. This restructuring promotes the principle of Single Responsibility, ensuring that each class has a clear and focused purpose. 2. Hosting apps customization: With the introduction of the AIServiceProvider, hosting applications now have the flexibility to provide their own implementation of the provider if needed. This promotes extensibility, allowing the hosting apps to tailor the AI service management according to their specific requirements. 3. AI services registration improvements: A new method called WithAiService has been added, which enables the registration of any new AI service that is not currently supported. 4. Improved kernel builder interface: The Add* methods for AI services registration have been moved from the KernelConfig class to the KernelBuilder. This change aligns the interface with other KernelBilder methods, such as WithLogger and WithMemory, creating a more cohesive and intuitive kernel builder interface. --------- Co-authored-by: Shawn Callegari <[email protected]> Co-authored-by: Lee Miller <[email protected]>
76 lines
2.6 KiB
C#
76 lines
2.6 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Threading.Tasks;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.CoreSkills;
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using Microsoft.SemanticKernel.TemplateEngine;
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using RepoUtils;
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// ReSharper disable once InconsistentNaming
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public static class Example06_TemplateLanguage
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{
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/// <summary>
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/// Show how to invoke a Native Function written in C#
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/// from a Semantic Function written in natural language
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/// </summary>
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public static async Task RunAsync()
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{
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Console.WriteLine("======== TemplateLanguage ========");
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IKernel kernel = Kernel.Builder
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.WithLogger(ConsoleLogger.Log)
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.WithOpenAITextCompletionService("text-davinci-003", Env.Var("OPENAI_API_KEY"))
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.Build();
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// Load native skill into the kernel skill collection, sharing its functions with prompt templates
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// Functions loaded here are available as "time.*"
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kernel.ImportSkill(new TimeSkill(), "time");
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// Semantic Function invoking time.Date and time.Time native functions
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const string FunctionDefinition = @"
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Today is: {{time.Date}}
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Current time is: {{time.Time}}
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Answer to the following questions using JSON syntax, including the data used.
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Is it morning, afternoon, evening, or night (morning/afternoon/evening/night)?
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Is it weekend time (weekend/not weekend)?
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";
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// This allows to see the prompt before it's sent to OpenAI
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Console.WriteLine("--- Rendered Prompt");
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var promptRenderer = new PromptTemplateEngine();
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var renderedPrompt = await promptRenderer.RenderAsync(FunctionDefinition, kernel.CreateNewContext());
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Console.WriteLine(renderedPrompt);
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// Run the prompt / semantic function
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var kindOfDay = kernel.CreateSemanticFunction(FunctionDefinition, maxTokens: 150);
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// Show the result
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Console.WriteLine("--- Semantic Function result");
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var result = await kindOfDay.InvokeAsync();
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Console.WriteLine(result);
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/* OUTPUT:
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--- Rendered Prompt
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Today is: Friday, April 28, 2023
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Current time is: 11:04:30 PM
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Answer to the following questions using JSON syntax, including the data used.
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Is it morning, afternoon, evening, or night (morning/afternoon/evening/night)?
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Is it weekend time (weekend/not weekend)?
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--- Semantic Function result
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{
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"date": "Friday, April 28, 2023",
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"time": "11:04:30 PM",
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"period": "night",
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"weekend": "weekend"
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}
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*/
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}
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}
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