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Roger BarretoandCopilot
b28847f1e4
Replace var with explicit types for clarity in all 6 samples. Replace new ChatClientAgent() constructor calls with chatClient.AsAIAgent() extension method in AgentWithLocalTools and AgentsInWorkflows. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
42 lines
2.1 KiB
C#
42 lines
2.1 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// This sample demonstrates Human-in-the-Loop (HITL) capabilities with thread persistence.
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// The agent wraps function tools with ApprovalRequiredAIFunction to require user approval
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// before invoking them. Users respond with 'approve' or 'reject' when prompted.
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using System.ComponentModel;
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using Azure.AI.AgentServer.AgentFramework.Extensions;
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using Azure.AI.AgentServer.AgentFramework.Persistence;
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using Azure.AI.OpenAI;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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using OpenAI.Chat;
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string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
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[Description("Get the weather for a given location.")]
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static string GetWeather([Description("The location to get the weather for.")] string location)
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=> $"The weather in {location} is cloudy with a high of 15°C.";
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// Create the chat client and agent.
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// Note: ApprovalRequiredAIFunction wraps the tool to require user approval before invocation.
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// User should reply with 'approve' or 'reject' when prompted.
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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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#pragma warning disable MEAI001 // Type is for evaluation purposes only
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AIAgent agent = new AzureOpenAIClient(
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new Uri(endpoint),
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new DefaultAzureCredential())
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.GetChatClient(deploymentName)
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.AsAIAgent(
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instructions: "You are a helpful assistant",
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tools: [new ApprovalRequiredAIFunction(AIFunctionFactory.Create(GetWeather))]
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);
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#pragma warning restore MEAI001
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InMemoryAgentThreadRepository threadRepository = new(agent);
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await agent.RunAIAgentAsync(telemetrySourceName: "Agents", threadRepository: threadRepository);
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