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Ben Thomas c79f886dc3 .NET: Align Foundry sample environment variables and credentials. (#6422)
* dotnet: refresh Foundry sample guidance

Carry forward the still-relevant sample guidance and Foundry-specific documentation fixes from the old stacked sample migration work, adapted to the current repo layout and policy.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* dotnet: rename Foundry sample env vars

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* dotnet: remove persistent provider sample

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* dotnet: drop SAMPLE_GUIDELINES.md from this PR

Defer the guidelines doc and its cross-link to a follow-on PR to avoid broken-link failures in CI.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* dotnet: add DefaultAzureCredential warning to remaining samples

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* dotnet: address PR review feedback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

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Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-11 17:26:00 +00:00

45 lines
2.1 KiB
C#

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