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* Update Foundry Responses as ChatClientAgent * Migrate obsolete AzureAI integration tests to versioned agent pattern Replace obsolete CreateAIAgentAsync/GetAIAgentAsync calls with Agents.CreateAgentVersionAsync() + AsAIAgent(AgentVersion) in all AzureAI integration tests. - Rename AIProjectClient* test files to FoundryVersionedAgent* - Register AIFunction tools in PromptAgentDefinition.Tools for server-side visibility via AsOpenAIResponseTool() - Skip structured output tests (AzureAIProjectChatClient clears ResponseFormat for versioned agents) - Remove all [Obsolete] attributes and #pragma warning disable CS0618 * Merge FoundryMemory package into AzureAI under Memory/ folder Move all FoundryMemory source, unit tests, and integration tests into the Microsoft.Agents.AI.AzureAI package. Change namespace from Microsoft.Agents.AI.FoundryMemory to Microsoft.Agents.AI.AzureAI. - Add [Experimental] to FoundryMemoryProviderOptions and Scope - Rename internal AIProjectClientExtensions to MemoryStoreExtensions - Update AzureAI .csproj with Compliance.Abstractions, Redaction - Remove FoundryMemory from solution and release filter - Update sample to reference AzureAI instead of FoundryMemory - Delete old Microsoft.Agents.AI.FoundryMemory project and tests * Add EnsureMemoryStoreCreatedAsync and memory existence checks to integration tests - Ensure memory store is created before testing memory operations - Add AZURE_AI_EMBEDDING_DEPLOYMENT_NAME config setting - Assert memories exist in store via SearchMemoriesAsync before cleanup - Verify scope isolation with direct memory store queries * Fix and rename AzureAI unit tests for RAPI vs Versioned clarity - Rename AsAIAgentAsync_* to AsAIAgent_* (drop Async from method group) - Add _Rapi_ prefix to non-versioned (Responses API) tests - Add _Versioned_ prefix to versioned agent tests where needed - Fix RAPI tests: assert GetService<AIProjectClient>() is null - Fix Versioned tests: assert IsType<FoundryAgent> and GetService<AIProjectClient>() returns the client instance - Fix UserAgent header tests: proper HTTP handler routing - Fix ChatClient_UsesDefaultConversationIdAsync test setup - All 153 unit tests pass with 0 failures * Rename Microsoft.Agents.AI.AzureAI to Microsoft.Agents.AI.Foundry Rename the project, namespace, folder, and all references from Microsoft.Agents.AI.AzureAI to Microsoft.Agents.AI.Foundry. Also rename Workflows.Declarative.AzureAI to .Foundry. - Rename src, unit test, integration test, and workflow folders - Update namespaces in all source and test .cs files - Update ProjectReferences in ~47 sample and test .csproj files - Update solution files (.slnx, .slnf) - Update sample using statements - Update READMEs, SKILL.md, ADRs in docs/ - Disable package validation baseline for renamed packages - Fix UTF-8 BOM encoding on all affected .cs files - AzureAI.Persistent left completely unchanged * Fix format: remove ImplicitUsings, add explicit usings, fix BOM encoding - Remove ImplicitUsings=enable from Foundry csproj to resolve IDE0005 on shared ReplacingRedactor.cs - Add explicit System usings to all source files that relied on them - Sort usings alphabetically per editorconfig rules - Fix UTF-8 BOM on 12 sample Program.cs files - Rename Azure AI Foundry Agents to Microsoft Foundry Agents in docs
43 lines
2.1 KiB
C#
43 lines
2.1 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to use Microsoft Fabric Tool with a ChatClientAgent.
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using Azure.AI.Projects;
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using Azure.AI.Projects.Agents;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Agents.AI.Foundry;
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string fabricConnectionId = Environment.GetEnvironmentVariable("FABRIC_PROJECT_CONNECTION_ID") ?? throw new InvalidOperationException("FABRIC_PROJECT_CONNECTION_ID is not set.");
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const string AgentInstructions = "You are a helpful assistant with access to Microsoft Fabric data. Answer questions based on data available through your Fabric connection.";
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// Configure Microsoft Fabric tool options with project connection
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var fabricToolOptions = new FabricDataAgentToolOptions();
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fabricToolOptions.ProjectConnections.Add(new ToolProjectConnection(fabricConnectionId));
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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-4o-mini";
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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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// Create a AIAgent with Microsoft Fabric tool.
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AIAgent agent = aiProjectClient.AsAIAgent(deploymentName,
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instructions: AgentInstructions,
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name: "FabricAgent-RAPI",
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tools: [FoundryAITool.CreateMicrosoftFabricTool(fabricToolOptions)]);
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Console.WriteLine($"Created agent: {agent.Name}");
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// Run the agent with a sample query
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AgentResponse response = await agent.RunAsync("What data is available in the connected Fabric workspace?");
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Console.WriteLine("\n=== Agent Response ===");
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foreach (var message in response.Messages)
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{
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Console.WriteLine(message.Text);
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}
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