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Roger Barreto
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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
628bb1af48
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2026-04-02 01:25:24 +00:00
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Creating an AIAgent instance for various providers
These samples show how to create an AIAgent instance using various providers. This is not an exhaustive list, but shows a variety of the more popular options.
For other samples that demonstrate how to use AIAgent instances, see the Getting Started With Agents samples.
Prerequisites
See the README.md for each sample for the prerequisites for that sample.
Samples
| Sample | Description |
|---|---|
| Creating an AIAgent with A2A | This sample demonstrates how to create AIAgent for an existing A2A agent. |
| Creating an AIAgent with Anthropic | This sample demonstrates how to create an AIAgent using Anthropic Claude models as the underlying inference service |
| Creating an AIAgent with Foundry Agents using Azure.AI.Agents.Persistent | This sample demonstrates how to create a Foundry Persistent agent and expose it as an AIAgent using the Azure.AI.Agents.Persistent SDK |
| Creating an AIAgent with Foundry Agents using Azure.AI.Project | This sample demonstrates how to create an Foundry Project agent and expose it as an AIAgent using the Azure.AI.Project SDK |
| Creating an AIAgent with Foundry Model | This sample demonstrates how to use any model deployed to Microsoft Foundry to create an AIAgent |
| Creating an AIAgent with Azure OpenAI ChatCompletion | This sample demonstrates how to create an AIAgent using Azure OpenAI ChatCompletion as the underlying inference service |
| Creating an AIAgent with Azure OpenAI Responses | This sample demonstrates how to create an AIAgent using Azure OpenAI Responses as the underlying inference service |
| Creating an AIAgent with a custom implementation | This sample demonstrates how to create an AIAgent with a custom implementation |
| Creating an AIAgent with GitHub Copilot | This sample demonstrates how to create an AIAgent using GitHub Copilot SDK as the underlying inference service |
| Creating an AIAgent with Ollama | This sample demonstrates how to create an AIAgent using Ollama as the underlying inference service |
| Creating an AIAgent with ONNX | This sample demonstrates how to create an AIAgent using ONNX as the underlying inference service |
| Creating an AIAgent with OpenAI Assistants | This sample demonstrates how to create an AIAgent using OpenAI Assistants as the underlying inference service. WARNING: The Assistants API is deprecated and will be shut down. For more information see the OpenAI documentation: https://platform.openai.com/docs/assistants/migration |
| Creating an AIAgent with OpenAI ChatCompletion | This sample demonstrates how to create an AIAgent using OpenAI ChatCompletion as the underlying inference service |
| Creating an AIAgent with OpenAI Responses | This sample demonstrates how to create an AIAgent using OpenAI Responses as the underlying inference service |
Running the samples from the console
To run the samples, navigate to the desired sample directory, e.g.
cd AIAgent_With_AzureOpenAIChatCompletion
Set the required environment variables as documented in the sample readme. If the variables are not set, you will be prompted for the values when running the samples. Execute the following command to build the sample:
dotnet build
Execute the following command to run the sample:
dotnet run --no-build
Or just build and run in one step:
dotnet run
Running the samples from Visual Studio
Open the solution in Visual Studio and set the desired sample project as the startup project. Then, run the project using the built-in debugger or by pressing F5.
You will be prompted for any required environment variables if they are not already set.