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westey e224f06e60 .NET: Update models used in dotnet samples to gpt-5.4-mini (#5080)
* Update models used in dotnet samples to gpt-5.4-mini

* Fix additional missed sample
2026-04-07 15:34:00 +00:00

43 lines
2.1 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to use Microsoft Fabric Tool with a ChatClientAgent.
using Azure.AI.Projects;
using Azure.AI.Projects.Agents;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Foundry;
string fabricConnectionId = Environment.GetEnvironmentVariable("FABRIC_PROJECT_CONNECTION_ID") ?? throw new InvalidOperationException("FABRIC_PROJECT_CONNECTION_ID is not set.");
const string AgentInstructions = "You are a helpful assistant with access to Microsoft Fabric data. Answer questions based on data available through your Fabric connection.";
// Configure Microsoft Fabric tool options with project connection
var fabricToolOptions = new FabricDataAgentToolOptions();
fabricToolOptions.ProjectConnections.Add(new ToolProjectConnection(fabricConnectionId));
string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
// 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());
// Create a AIAgent with Microsoft Fabric tool.
AIAgent agent = aiProjectClient.AsAIAgent(deploymentName,
instructions: AgentInstructions,
name: "FabricAgent-RAPI",
tools: [FoundryAITool.CreateMicrosoftFabricTool(fabricToolOptions)]);
Console.WriteLine($"Created agent: {agent.Name}");
// Run the agent with a sample query
AgentResponse response = await agent.RunAsync("What data is available in the connected Fabric workspace?");
Console.WriteLine("\n=== Agent Response ===");
foreach (var message in response.Messages)
{
Console.WriteLine(message.Text);
}