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https://github.com/microsoft/agent-framework.git
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SergeyMenshykh
38 lines
1.9 KiB
C#
38 lines
1.9 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to create and use a simple AI agent with OpenAI Responses as the backend, that uses a Hosted MCP Tool.
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// In this case the OpenAI responses service will invoke any MCP tools as required. MCP tools are not invoked by the Agent Framework.
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// The sample demonstrates how to use MCP tools with auto approval by setting ApprovalMode to NeverRequire.
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using Azure.AI.AgentServer.AgentFramework.Extensions;
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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.Responses;
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var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
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// Create an MCP tool that can be called without approval.
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AITool mcpTool = new HostedMcpServerTool(serverName: "microsoft_learn", serverAddress: "https://learn.microsoft.com/api/mcp")
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{
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AllowedTools = ["microsoft_docs_search"],
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ApprovalMode = HostedMcpServerToolApprovalMode.NeverRequire
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};
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// Create an agent with the MCP tool using Azure OpenAI Responses.
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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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AIAgent agent = new AzureOpenAIClient(
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new Uri(endpoint),
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new DefaultAzureCredential())
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.GetResponsesClient(deploymentName)
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.CreateAIAgent(
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instructions: "You answer questions by searching the Microsoft Learn content only.",
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name: "MicrosoftLearnAgent",
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tools: [mcpTool]);
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await agent.RunAIAgentAsync();
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