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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Threading.Tasks;
using AgentConformance.IntegrationTests;
using Microsoft.Agents.AI;
namespace AzureAI.IntegrationTests;
public class AIProjectClientAgentRunStreamingPreviousResponseTests() : RunStreamingTests<AIProjectClientFixture>(() => new())
{
[Fact(Skip = "No messages is not supported")]
public override Task RunWithNoMessageDoesNotFailAsync()
{
return Task.CompletedTask;
}
}
public class AIProjectClientAgentRunStreamingConversationTests() : RunTests<AIProjectClientFixture>(() => new())
{
public override Func<Task<AgentRunOptions?>> AgentRunOptionsFactory => async () =>
{
var conversationId = await this.Fixture.CreateConversationAsync();
return new ChatClientAgentRunOptions(new() { ConversationId = conversationId });
};
[Fact(Skip = "No messages is not supported")]
public override Task RunWithNoMessageDoesNotFailAsync()
{
return Task.CompletedTask;
}
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Threading.Tasks;
using AgentConformance.IntegrationTests;
using Microsoft.Agents.AI;
namespace AzureAI.IntegrationTests;
public class AIProjectClientAgentRunPreviousResponseTests() : RunTests<AIProjectClientFixture>(() => new())
{
[Fact(Skip = "No messages is not supported")]
public override Task RunWithNoMessageDoesNotFailAsync()
{
return Task.CompletedTask;
}
}
public class AIProjectClientAgentRunConversationTests() : RunTests<AIProjectClientFixture>(() => new())
{
public override Func<Task<AgentRunOptions?>> AgentRunOptionsFactory => async () =>
{
var conversationId = await this.Fixture.CreateConversationAsync();
return new ChatClientAgentRunOptions(new() { ConversationId = conversationId });
};
[Fact(Skip = "No messages is not supported")]
public override Task RunWithNoMessageDoesNotFailAsync()
{
return Task.CompletedTask;
}
}

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// Copyright (c) Microsoft. All rights reserved.
using System.Threading.Tasks;
using AgentConformance.IntegrationTests;
namespace AzureAI.IntegrationTests;
public class AIProjectClientChatClientAgentRunStreamingTests() : ChatClientAgentRunStreamingTests<AIProjectClientFixture>(() => new())
{
[Fact(Skip = "No messages is not supported")]
public override Task RunWithInstructionsAndNoMessageReturnsExpectedResultAsync()
{
return Task.CompletedTask;
}
}

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// Copyright (c) Microsoft. All rights reserved.
using System.Threading.Tasks;
using AgentConformance.IntegrationTests;
namespace AzureAI.IntegrationTests;
public class AIProjectClientChatClientAgentRunTests() : ChatClientAgentRunTests<AIProjectClientFixture>(() => new())
{
[Fact(Skip = "No messages is not supported")]
public override Task RunWithInstructionsAndNoMessageReturnsExpectedResultAsync()
{
return Task.CompletedTask;
}
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.IO;
using System.Threading.Tasks;
using AgentConformance.IntegrationTests.Support;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Files;
using OpenAI.Responses;
using Shared.IntegrationTests;
namespace AzureAI.IntegrationTests;
public class AIProjectClientCreateTests
{
private static readonly AzureAIConfiguration s_config = TestConfiguration.LoadSection<AzureAIConfiguration>();
private readonly AIProjectClient _client = new(new Uri(s_config.Endpoint), new AzureCliCredential());
[Theory]
[InlineData("CreateWithChatClientAgentOptionsAsync")]
[InlineData("CreateWithFoundryOptionsAsync")]
public async Task CreateAgent_CreatesAgentWithCorrectMetadataAsync(string createMechanism)
{
// Arrange.
string AgentName = AIProjectClientFixture.GenerateUniqueAgentName("IntegrationTestAgent");
const string AgentDescription = "An agent created during integration tests";
const string AgentInstructions = "You are an integration test agent";
// Act.
var agent = createMechanism switch
{
"CreateWithChatClientAgentOptionsAsync" => await this._client.CreateAIAgentAsync(
model: s_config.DeploymentName,
options: new ChatClientAgentOptions()
{
Name = AgentName,
Description = AgentDescription,
ChatOptions = new() { Instructions = AgentInstructions }
}),
"CreateWithFoundryOptionsAsync" => await this._client.CreateAIAgentAsync(
name: AgentName,
creationOptions: new AgentVersionCreationOptions(new PromptAgentDefinition(s_config.DeploymentName) { Instructions = AgentInstructions }) { Description = AgentDescription }),
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
};
try
{
// Assert.
Assert.NotNull(agent);
Assert.Equal(AgentName, agent.Name);
Assert.Equal(AgentDescription, agent.Description);
Assert.Equal(AgentInstructions, agent.Instructions);
var agentRecord = await this._client.Agents.GetAgentAsync(agent.Name);
Assert.NotNull(agentRecord);
Assert.Equal(AgentName, agentRecord.Value.Name);
var definition = Assert.IsType<PromptAgentDefinition>(agentRecord.Value.Versions.Latest.Definition);
Assert.Equal(AgentDescription, agentRecord.Value.Versions.Latest.Description);
Assert.Equal(AgentInstructions, definition.Instructions);
}
finally
{
// Cleanup.
await this._client.Agents.DeleteAgentAsync(agent.Name);
}
}
[Theory(Skip = "For manual testing only")]
[InlineData("CreateWithChatClientAgentOptionsAsync")]
[InlineData("CreateWithFoundryOptionsAsync")]
public async Task CreateAgent_CreatesAgentWithVectorStoresAsync(string createMechanism)
{
// Arrange.
string AgentName = AIProjectClientFixture.GenerateUniqueAgentName("VectorStoreAgent");
const string AgentInstructions = """
You are a helpful agent that can help fetch data from files you know about.
Use the File Search Tool to look up codes for words.
Do not answer a question unless you can find the answer using the File Search Tool.
""";
// Get the project OpenAI client.
var projectOpenAIClient = this._client.GetProjectOpenAIClient();
// Create a vector store.
var searchFilePath = Path.GetTempFileName() + "wordcodelookup.txt";
File.WriteAllText(
path: searchFilePath,
contents: "The word 'apple' uses the code 442345, while the word 'banana' uses the code 673457."
);
OpenAIFile uploadedAgentFile = projectOpenAIClient.GetProjectFilesClient().UploadFile(
filePath: searchFilePath,
purpose: FileUploadPurpose.Assistants
);
var vectorStoreMetadata = await projectOpenAIClient.GetProjectVectorStoresClient().CreateVectorStoreAsync(options: new() { FileIds = { uploadedAgentFile.Id }, Name = "WordCodeLookup_VectorStore" });
// Act.
var agent = createMechanism switch
{
"CreateWithChatClientAgentOptionsAsync" => await this._client.CreateAIAgentAsync(
model: s_config.DeploymentName,
name: AgentName,
instructions: AgentInstructions,
tools: [new HostedFileSearchTool() { Inputs = [new HostedVectorStoreContent(vectorStoreMetadata.Value.Id)] }]),
"CreateWithFoundryOptionsAsync" => await this._client.CreateAIAgentAsync(
model: s_config.DeploymentName,
name: AgentName,
instructions: AgentInstructions,
tools: [ResponseTool.CreateFileSearchTool(vectorStoreIds: [vectorStoreMetadata.Value.Id]).AsAITool()]),
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
};
try
{
// Assert.
// Verify that the agent can use the vector store to answer a question.
var result = await agent.RunAsync("Can you give me the documented code for 'banana'?");
Assert.Contains("673457", result.ToString());
}
finally
{
// Cleanup.
await this._client.Agents.DeleteAgentAsync(agent.Name);
await projectOpenAIClient.GetProjectVectorStoresClient().DeleteVectorStoreAsync(vectorStoreMetadata.Value.Id);
await projectOpenAIClient.GetProjectFilesClient().DeleteFileAsync(uploadedAgentFile.Id);
File.Delete(searchFilePath);
}
}
[Theory]
[InlineData("CreateWithChatClientAgentOptionsAsync")]
[InlineData("CreateWithFoundryOptionsAsync")]
public async Task CreateAgent_CreatesAgentWithCodeInterpreterAsync(string createMechanism)
{
// Arrange.
string AgentName = AIProjectClientFixture.GenerateUniqueAgentName("CodeInterpreterAgent");
const string AgentInstructions = """
You are a helpful coding agent. A Python file is provided. Use the Code Interpreter Tool to run the file
and report the SECRET_NUMBER value it prints. Respond only with the number.
""";
// Get the project OpenAI client.
var projectOpenAIClient = this._client.GetProjectOpenAIClient();
// Create a python file that prints a known value.
var codeFilePath = Path.GetTempFileName() + "secret_number.py";
File.WriteAllText(
path: codeFilePath,
contents: "print(\"SECRET_NUMBER=24601\")" // Deterministic output we will look for.
);
OpenAIFile uploadedCodeFile = projectOpenAIClient.GetProjectFilesClient().UploadFile(
filePath: codeFilePath,
purpose: FileUploadPurpose.Assistants
);
// Act.
var agent = createMechanism switch
{
// Hosted tool path (tools supplied via ChatClientAgentOptions)
"CreateWithChatClientAgentOptionsAsync" => await this._client.CreateAIAgentAsync(
model: s_config.DeploymentName,
name: AgentName,
instructions: AgentInstructions,
tools: [new HostedCodeInterpreterTool() { Inputs = [new HostedFileContent(uploadedCodeFile.Id)] }]),
// Foundry (definitions + resources provided directly)
"CreateWithFoundryOptionsAsync" => await this._client.CreateAIAgentAsync(
model: s_config.DeploymentName,
name: AgentName,
instructions: AgentInstructions,
tools: [ResponseTool.CreateCodeInterpreterTool(new CodeInterpreterToolContainer(CodeInterpreterToolContainerConfiguration.CreateAutomaticContainerConfiguration([uploadedCodeFile.Id]))).AsAITool()]),
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
};
try
{
// Assert.
var result = await agent.RunAsync("What is the SECRET_NUMBER?");
// We expect the model to run the code and surface the number.
Assert.Contains("24601", result.ToString());
}
finally
{
// Cleanup.
await this._client.Agents.DeleteAgentAsync(agent.Name);
await projectOpenAIClient.GetProjectFilesClient().DeleteFileAsync(uploadedCodeFile.Id);
File.Delete(codeFilePath);
}
}
[Theory]
[InlineData("CreateWithChatClientAgentOptionsAsync")]
public async Task CreateAgent_CreatesAgentWithAIFunctionToolsAsync(string createMechanism)
{
// Arrange.
string AgentName = AIProjectClientFixture.GenerateUniqueAgentName("WeatherAgent");
const string AgentInstructions = "You are a helpful weather assistant. Always call the GetWeather function to answer questions about weather.";
static string GetWeather(string location) => $"The weather in {location} is sunny with a high of 23C.";
var weatherFunction = AIFunctionFactory.Create(GetWeather);
ChatClientAgent agent = createMechanism switch
{
"CreateWithChatClientAgentOptionsAsync" => await this._client.CreateAIAgentAsync(
model: s_config.DeploymentName,
options: new ChatClientAgentOptions()
{
Name = AgentName,
ChatOptions = new() { Instructions = AgentInstructions, Tools = [weatherFunction] }
}),
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
};
try
{
// Act.
var response = await agent.RunAsync("What is the weather like in Amsterdam?");
// Assert - ensure function was invoked and its output surfaced.
var text = response.Text;
Assert.Contains("Amsterdam", text, StringComparison.OrdinalIgnoreCase);
Assert.Contains("sunny", text, StringComparison.OrdinalIgnoreCase);
Assert.Contains("23", text, StringComparison.OrdinalIgnoreCase);
}
finally
{
await this._client.Agents.DeleteAgentAsync(agent.Name);
}
}
}

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// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;
using AgentConformance.IntegrationTests;
using AgentConformance.IntegrationTests.Support;
using Azure.AI.Projects;
using Azure.AI.Projects.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI.Responses;
using Shared.IntegrationTests;
namespace AzureAI.IntegrationTests;
public class AIProjectClientFixture : IChatClientAgentFixture
{
private static readonly AzureAIConfiguration s_config = TestConfiguration.LoadSection<AzureAIConfiguration>();
private ChatClientAgent _agent = null!;
private AIProjectClient _client = null!;
public IChatClient ChatClient => this._agent.ChatClient;
public AIAgent Agent => this._agent;
public async Task<string> CreateConversationAsync()
{
var response = await this._client.GetProjectOpenAIClient().GetProjectConversationsClient().CreateProjectConversationAsync();
return response.Value.Id;
}
public async Task<List<ChatMessage>> GetChatHistoryAsync(AgentThread thread)
{
var chatClientThread = (ChatClientAgentThread)thread;
if (chatClientThread.ConversationId?.StartsWith("conv_", StringComparison.OrdinalIgnoreCase) == true)
{
// Conversation threads do not persist message history.
return await this.GetChatHistoryFromConversationAsync(chatClientThread.ConversationId);
}
if (chatClientThread.ConversationId?.StartsWith("resp_", StringComparison.OrdinalIgnoreCase) == true)
{
return await this.GetChatHistoryFromResponsesChainAsync(chatClientThread.ConversationId);
}
if (chatClientThread.MessageStore is null)
{
return [];
}
return (await chatClientThread.MessageStore.InvokingAsync(new([]))).ToList();
}
private async Task<List<ChatMessage>> GetChatHistoryFromResponsesChainAsync(string conversationId)
{
var openAIResponseClient = this._client.GetProjectOpenAIClient().GetProjectResponsesClient();
var inputItems = await openAIResponseClient.GetResponseInputItemsAsync(conversationId).ToListAsync();
var response = await openAIResponseClient.GetResponseAsync(conversationId);
var responseItem = response.Value.OutputItems.FirstOrDefault()!;
// Take the messages that were the chat history leading up to the current response
// remove the instruction messages, and reverse the order so that the most recent message is last.
var previousMessages = inputItems
.Select(ConvertToChatMessage)
.Where(x => x.Text != "You are a helpful assistant.")
.Reverse();
// Convert the response item to a chat message.
var responseMessage = ConvertToChatMessage(responseItem);
// Concatenate the previous messages with the response message to get a full chat history
// that includes the current response.
return [.. previousMessages, responseMessage];
}
private static ChatMessage ConvertToChatMessage(ResponseItem item)
{
if (item is MessageResponseItem messageResponseItem)
{
var role = messageResponseItem.Role == MessageRole.User ? ChatRole.User : ChatRole.Assistant;
return new ChatMessage(role, messageResponseItem.Content.FirstOrDefault()?.Text);
}
throw new NotSupportedException("This test currently only supports text messages");
}
private async Task<List<ChatMessage>> GetChatHistoryFromConversationAsync(string conversationId)
{
List<ChatMessage> messages = [];
await foreach (AgentResponseItem item in this._client.GetProjectOpenAIClient().GetProjectConversationsClient().GetProjectConversationItemsAsync(conversationId, order: "asc"))
{
var openAIItem = item.AsResponseResultItem();
if (openAIItem is MessageResponseItem messageItem)
{
messages.Add(new ChatMessage
{
Role = new ChatRole(messageItem.Role.ToString()),
Contents = messageItem.Content
.Where(c => c.Kind is ResponseContentPartKind.OutputText or ResponseContentPartKind.InputText)
.Select(c => new TextContent(c.Text))
.ToList<AIContent>()
});
}
}
return messages;
}
public async Task<ChatClientAgent> CreateChatClientAgentAsync(
string name = "HelpfulAssistant",
string instructions = "You are a helpful assistant.",
IList<AITool>? aiTools = null)
{
return await this._client.CreateAIAgentAsync(GenerateUniqueAgentName(name), model: s_config.DeploymentName, instructions: instructions, tools: aiTools);
}
public static string GenerateUniqueAgentName(string baseName) =>
$"{baseName}-{Guid.NewGuid().ToString("N").Substring(0, 8)}";
public Task DeleteAgentAsync(ChatClientAgent agent) =>
this._client.Agents.DeleteAgentAsync(agent.Name);
public async Task DeleteThreadAsync(AgentThread thread)
{
var typedThread = (ChatClientAgentThread)thread;
if (typedThread.ConversationId?.StartsWith("conv_", StringComparison.OrdinalIgnoreCase) == true)
{
await this._client.GetProjectOpenAIClient().GetProjectConversationsClient().DeleteConversationAsync(typedThread.ConversationId);
}
else if (typedThread.ConversationId?.StartsWith("resp_", StringComparison.OrdinalIgnoreCase) == true)
{
await this.DeleteResponseChainAsync(typedThread.ConversationId!);
}
}
private async Task DeleteResponseChainAsync(string lastResponseId)
{
var response = await this._client.GetProjectOpenAIClient().GetProjectResponsesClient().GetResponseAsync(lastResponseId);
await this._client.GetProjectOpenAIClient().GetProjectResponsesClient().DeleteResponseAsync(lastResponseId);
if (response.Value.PreviousResponseId is not null)
{
await this.DeleteResponseChainAsync(response.Value.PreviousResponseId);
}
}
public Task DisposeAsync()
{
if (this._client is not null && this._agent is not null)
{
return this._client.Agents.DeleteAgentAsync(this._agent.Name);
}
return Task.CompletedTask;
}
public async Task InitializeAsync()
{
this._client = new(new Uri(s_config.Endpoint), new AzureCliCredential());
this._agent = await this.CreateChatClientAgentAsync();
}
}

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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<InjectSharedIntegrationTestCode>True</InjectSharedIntegrationTestCode>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
<ProjectReference Include="..\AgentConformance.IntegrationTests\AgentConformance.IntegrationTests.csproj" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.Identity" />
</ItemGroup>
</Project>