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91 lines
3.8 KiB
C#
91 lines
3.8 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using Azure.AI.Projects;
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using Azure.AI.Projects.OpenAI;
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using Azure.Identity;
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using Microsoft.Extensions.AI;
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using Microsoft.Extensions.Configuration;
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using OpenAI.Responses;
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using Shared.Foundry;
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using Shared.Workflows;
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namespace Demo.Workflows.Declarative.FunctionTools;
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/// <summary>
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/// Demonstrate a workflow that responds to user input using an agent who
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/// with function tools assigned. Exits the loop when the user enters "exit".
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/// </summary>
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/// <remarks>
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/// See the README.md file in the parent folder (../README.md) for detailed
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/// information about the configuration required to run this sample.
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/// </remarks>
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internal sealed class Program
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{
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public static async Task Main(string[] args)
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{
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// Initialize configuration
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IConfiguration configuration = Application.InitializeConfig();
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Uri foundryEndpoint = new(configuration.GetValue(Application.Settings.FoundryEndpoint));
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// Ensure sample agents exist in Foundry.
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MenuPlugin menuPlugin = new();
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AIFunction[] functions =
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[
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AIFunctionFactory.Create(menuPlugin.GetMenu),
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AIFunctionFactory.Create(menuPlugin.GetSpecials),
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AIFunctionFactory.Create(menuPlugin.GetItemPrice),
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];
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await CreateAgentAsync(foundryEndpoint, configuration, functions);
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// Get input from command line or console
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string workflowInput = Application.GetInput(args);
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// Create the workflow factory. This class demonstrates how to initialize a
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// declarative workflow from a YAML file. Once the workflow is created, it
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// can be executed just like any regular workflow.
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WorkflowFactory workflowFactory = new("FunctionTools.yaml", foundryEndpoint);
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// Execute the workflow: The WorkflowRunner demonstrates how to execute
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// a workflow, handle the workflow events, and providing external input.
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// This also includes the ability to checkpoint workflow state and how to
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// resume execution.
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WorkflowRunner runner = new(functions) { UseJsonCheckpoints = true };
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await runner.ExecuteAsync(workflowFactory.CreateWorkflow, workflowInput);
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}
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private static async Task CreateAgentAsync(Uri foundryEndpoint, IConfiguration configuration, AIFunction[] functions)
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{
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AIProjectClient aiProjectClient = new(foundryEndpoint, new DefaultAzureCredential());
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await aiProjectClient.CreateAgentAsync(
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agentName: "MenuAgent",
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agentDefinition: DefineMenuAgent(configuration, functions),
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agentDescription: "Provides information about the restaurant menu");
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}
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private static PromptAgentDefinition DefineMenuAgent(IConfiguration configuration, AIFunction[] functions)
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{
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PromptAgentDefinition agentDefinition =
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new(configuration.GetValue(Application.Settings.FoundryModelMini))
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{
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Instructions =
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"""
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Answer the users questions on the menu.
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For questions or input that do not require searching the documentation, inform the
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user that you can only answer questions what's on the menu.
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"""
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};
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foreach (AIFunction function in functions)
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{
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agentDefinition.Tools.Add(function.AsOpenAIResponseTool());
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}
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return agentDefinition;
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}
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}
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