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e224f06e60
* Update models used in dotnet samples to gpt-5.4-mini * Fix additional missed sample
45 lines
2.1 KiB
C#
45 lines
2.1 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to use MCP client tools with an agent.
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// It connects to the Microsoft Learn MCP server via HTTP and uses its tools.
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using Azure.AI.Projects;
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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 ModelContextProtocol.Client;
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string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
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// Connect to the Microsoft Learn MCP server via HTTP (Streamable HTTP transport).
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Console.WriteLine("Connecting to MCP server at https://learn.microsoft.com/api/mcp ...");
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await using McpClient mcpClient = await McpClient.CreateAsync(new HttpClientTransport(new()
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{
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Endpoint = new Uri("https://learn.microsoft.com/api/mcp"),
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Name = "Microsoft Learn MCP",
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}));
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// Retrieve the list of tools available on the MCP server.
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IList<McpClientTool> mcpTools = await mcpClient.ListToolsAsync();
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Console.WriteLine($"MCP tools available: {string.Join(", ", mcpTools.Select(t => t.Name))}");
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List<AITool> agentTools = [.. mcpTools.Cast<AITool>()];
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
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AIAgent agent = aiProjectClient.AsAIAgent(deploymentName,
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instructions: "You are a helpful assistant that can help with Microsoft documentation questions. Use the Microsoft Learn MCP tool to search for documentation.",
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name: "DocsAgent",
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tools: agentTools);
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Console.WriteLine($"Agent '{agent.Name}' created. Asking a question...\n");
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const string Prompt = "How does one create an Azure storage account using az cli?";
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Console.WriteLine($"User: {Prompt}\n");
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Console.WriteLine($"Agent: {await agent.RunAsync(Prompt)}");
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