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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<InjectSharedIntegrationTestCode>True</InjectSharedIntegrationTestCode>
<NoWarn>$(NoWarn);OPENAI001;</NoWarn>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\AgentConformance.IntegrationTests\AgentConformance.IntegrationTests.csproj" />
<ProjectReference Include="..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
</ItemGroup>
</Project>

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// Copyright (c) Microsoft. All rights reserved.
using AgentConformance.IntegrationTests;
namespace OpenAIAssistant.IntegrationTests;
public class OpenAIAssistantChatClientAgentRunStreamingTests() : ChatClientAgentRunStreamingTests<OpenAIAssistantFixture>(() => new())
{
}

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// Copyright (c) Microsoft. All rights reserved.
using AgentConformance.IntegrationTests;
namespace OpenAIAssistant.IntegrationTests;
public class OpenAIAssistantChatClientAgentRunTests() : ChatClientAgentRunTests<OpenAIAssistantFixture>(() => new())
{
}

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// Copyright (c) Microsoft. All rights reserved.
#pragma warning disable CS0618 // Type or member is obsolete - Testing deprecated OpenAI Assistants API extension methods
using System;
using System.Diagnostics;
using System.IO;
using System.Threading.Tasks;
using AgentConformance.IntegrationTests.Support;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI;
using OpenAI.Assistants;
using OpenAI.Files;
using OpenAI.VectorStores;
using Shared.IntegrationTests;
namespace OpenAIAssistant.IntegrationTests;
public class OpenAIAssistantClientExtensionsTests
{
private static readonly OpenAIConfiguration s_config = TestConfiguration.LoadSection<OpenAIConfiguration>();
private readonly AssistantClient _assistantClient = new OpenAIClient(s_config.ApiKey).GetAssistantClient();
private readonly OpenAIFileClient _fileClient = new OpenAIClient(s_config.ApiKey).GetOpenAIFileClient();
[Theory]
[InlineData("CreateWithChatClientAgentOptionsAsync")]
[InlineData("CreateWithChatClientAgentOptionsSync")]
[InlineData("CreateWithParamsAsync")]
public async Task CreateAIAgentAsync_WithAIFunctionTool_InvokesFunctionAsync(string createMechanism)
{
// Arrange
const string AgentInstructions = "You are a helpful weather assistant. Always call the GetWeather function to answer questions about weather.";
static string GetWeather(string location) => $"The weather in {location} is sunny with a high of 23C.";
var weatherFunction = AIFunctionFactory.Create(GetWeather, nameof(GetWeather));
// Act
var agent = createMechanism switch
{
"CreateWithChatClientAgentOptionsAsync" => await this._assistantClient.CreateAIAgentAsync(
model: s_config.ChatModelId!,
options: new ChatClientAgentOptions()
{
ChatOptions = new()
{
Instructions = AgentInstructions,
Tools = [weatherFunction]
}
}),
"CreateWithChatClientAgentOptionsSync" => await this._assistantClient.CreateAIAgentAsync(
model: s_config.ChatModelId!,
options: new ChatClientAgentOptions()
{
ChatOptions = new()
{
Instructions = AgentInstructions,
Tools = [weatherFunction]
}
}),
"CreateWithParamsAsync" => await this._assistantClient.CreateAIAgentAsync(
model: s_config.ChatModelId!,
instructions: AgentInstructions,
tools: [weatherFunction]),
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
};
try
{
// Trigger function call.
var response = await agent.RunAsync("What is the weather like in Amsterdam?");
var text = response.Text;
// Assert
Assert.Contains("Amsterdam", text, StringComparison.OrdinalIgnoreCase);
Assert.Contains("sunny", text, StringComparison.OrdinalIgnoreCase);
Assert.Contains("23", text, StringComparison.OrdinalIgnoreCase);
}
finally
{
await this._assistantClient.DeleteAssistantAsync(agent.Id);
}
}
[Theory]
[InlineData("CreateWithChatClientAgentOptionsAsync")]
[InlineData("CreateWithChatClientAgentOptionsSync")]
[InlineData("CreateWithParamsAsync")]
public async Task CreateAIAgentAsync_WithHostedCodeInterpreter_RunsCodeAsync(string createMechanism)
{
// Arrange
const string Instructions = "Use the Code Interpreter Tool to run the uploaded python file and respond only with the secret number.";
// Create a python file that prints a known value.
var codeFilePath = Path.GetTempFileName() + "openai_secret_number.py";
File.WriteAllText(
path: codeFilePath,
contents: "print(\"OPENAI_SECRET=13579\")" // Deterministic output we will look for.
);
// Upload file to OpenAI Assistants file store for use with the Code Interpreter.
var uploadResult = await this._fileClient.UploadFileAsync(codeFilePath, FileUploadPurpose.Assistants);
string uploadedFileId = uploadResult.Value.Id;
var codeInterpreterTool = new HostedCodeInterpreterTool() { Inputs = [new HostedFileContent(uploadedFileId)] };
var agent = createMechanism switch
{
"CreateWithChatClientAgentOptionsAsync" => await this._assistantClient.CreateAIAgentAsync(
model: s_config.ChatModelId!,
options: new ChatClientAgentOptions()
{
ChatOptions = new()
{
Instructions = Instructions,
Tools = [codeInterpreterTool]
}
}),
"CreateWithChatClientAgentOptionsSync" => await this._assistantClient.CreateAIAgentAsync(
model: s_config.ChatModelId!,
options: new ChatClientAgentOptions()
{
ChatOptions = new()
{
Instructions = Instructions,
Tools = [codeInterpreterTool]
}
}),
"CreateWithParamsAsync" => await this._assistantClient.CreateAIAgentAsync(
model: s_config.ChatModelId!,
instructions: Instructions,
tools: [codeInterpreterTool]),
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
};
try
{
var response = await agent.RunAsync("What is the OPENAI_SECRET number?");
var text = response.ToString();
Assert.Contains("13579", text);
}
finally
{
await this._assistantClient.DeleteAssistantAsync(agent.Id);
await this._fileClient.DeleteFileAsync(uploadedFileId);
File.Delete(codeFilePath);
}
}
[Theory(Skip = "For manual testing only")]
[InlineData("CreateWithChatClientAgentOptionsAsync")]
[InlineData("CreateWithChatClientAgentOptionsSync")]
[InlineData("CreateWithParamsAsync")]
public async Task CreateAIAgentAsync_WithHostedFileSearchTool_SearchesFilesAsync(string createMechanism)
{
// Arrange.
const string Instructions = """
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.
""";
// Create a local file with deterministic content and upload it.
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.");
var uploadResult = await this._fileClient.UploadFileAsync(searchFilePath, FileUploadPurpose.Assistants);
string uploadedFileId = uploadResult.Value.Id;
// Create a vector store backing the file search (HostedFileSearchTool requires a vector store id).
var vectorStoreClient = new OpenAIClient(s_config.ApiKey).GetVectorStoreClient();
var vectorStoreCreate = await vectorStoreClient.CreateVectorStoreAsync(options: new VectorStoreCreationOptions()
{
Name = "WordCodeLookup_VectorStore",
FileIds = { uploadedFileId }
});
string vectorStoreId = vectorStoreCreate.Value.Id;
// Wait for vector store indexing to complete before using it
await WaitForVectorStoreReadyAsync(vectorStoreClient, vectorStoreId);
var fileSearchTool = new HostedFileSearchTool() { Inputs = [new HostedVectorStoreContent(vectorStoreId)] };
var agent = createMechanism switch
{
"CreateWithChatClientAgentOptionsAsync" => await this._assistantClient.CreateAIAgentAsync(
model: s_config.ChatModelId!,
options: new ChatClientAgentOptions()
{
ChatOptions = new()
{
Instructions = Instructions,
Tools = [fileSearchTool]
}
}),
"CreateWithChatClientAgentOptionsSync" => await this._assistantClient.CreateAIAgentAsync(
model: s_config.ChatModelId!,
options: new ChatClientAgentOptions()
{
ChatOptions = new()
{
Instructions = Instructions,
Tools = [fileSearchTool]
}
}),
"CreateWithParamsAsync" => await this._assistantClient.CreateAIAgentAsync(
model: s_config.ChatModelId!,
instructions: Instructions,
tools: [fileSearchTool]),
_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
};
try
{
// Act - ask about banana code which must be retrieved via file search.
var response = await agent.RunAsync("Can you give me the documented code for 'banana'?");
var text = response.ToString();
Assert.Contains("673457", text);
}
finally
{
await this._assistantClient.DeleteAssistantAsync(agent.Id);
await vectorStoreClient.DeleteVectorStoreAsync(vectorStoreId);
await this._fileClient.DeleteFileAsync(uploadedFileId);
File.Delete(searchFilePath);
}
}
/// <summary>
/// Waits for a vector store to complete indexing by polling its status.
/// </summary>
/// <param name="client">The vector store client.</param>
/// <param name="vectorStoreId">The ID of the vector store.</param>
/// <param name="maxWaitSeconds">Maximum time to wait in seconds (default: 30).</param>
/// <returns>A task that completes when the vector store is ready or throws on timeout/failure.</returns>
private static async Task WaitForVectorStoreReadyAsync(
VectorStoreClient client,
string vectorStoreId,
int maxWaitSeconds = 30)
{
Stopwatch sw = Stopwatch.StartNew();
while (sw.Elapsed.TotalSeconds < maxWaitSeconds)
{
VectorStore vectorStore = await client.GetVectorStoreAsync(vectorStoreId);
VectorStoreStatus status = vectorStore.Status;
if (status == VectorStoreStatus.Completed)
{
if (vectorStore.FileCounts.Failed > 0)
{
throw new InvalidOperationException("Vector store indexing failed for some files");
}
return;
}
if (status == VectorStoreStatus.Expired)
{
throw new InvalidOperationException("Vector store has expired");
}
await Task.Delay(1000);
}
throw new TimeoutException($"Vector store did not complete indexing within {maxWaitSeconds}s");
}
}

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// Copyright (c) Microsoft. All rights reserved.
using System.Collections.Generic;
using System.Threading.Tasks;
using AgentConformance.IntegrationTests;
using AgentConformance.IntegrationTests.Support;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OpenAI;
using OpenAI.Assistants;
using Shared.IntegrationTests;
namespace OpenAIAssistant.IntegrationTests;
public class OpenAIAssistantFixture : IChatClientAgentFixture
{
private static readonly OpenAIConfiguration s_config = TestConfiguration.LoadSection<OpenAIConfiguration>();
private AssistantClient? _assistantClient;
private ChatClientAgent _agent = null!;
public AIAgent Agent => this._agent;
public IChatClient ChatClient => this._agent.ChatClient;
public async Task<List<ChatMessage>> GetChatHistoryAsync(AgentThread thread)
{
var typedThread = (ChatClientAgentThread)thread;
List<ChatMessage> messages = [];
await foreach (var agentMessage in this._assistantClient!.GetMessagesAsync(typedThread.ConversationId, new() { Order = MessageCollectionOrder.Ascending }))
{
messages.Add(new()
{
Role = agentMessage.Role == MessageRole.User ? ChatRole.User : ChatRole.Assistant,
Contents =
[
new TextContent(agentMessage.Content[0].Text ?? string.Empty)
],
});
}
return messages;
}
public async Task<ChatClientAgent> CreateChatClientAgentAsync(
string name = "HelpfulAssistant",
string instructions = "You are a helpful assistant.",
IList<AITool>? aiTools = null)
{
var assistant =
await this._assistantClient!.CreateAssistantAsync(
s_config.ChatModelId!,
new AssistantCreationOptions()
{
Name = name,
Instructions = instructions
});
return new ChatClientAgent(
this._assistantClient.AsIChatClient(assistant.Value.Id),
options: new()
{
Id = assistant.Value.Id,
ChatOptions = new() { Tools = aiTools }
});
}
public Task DeleteAgentAsync(ChatClientAgent agent) =>
this._assistantClient!.DeleteAssistantAsync(agent.Id);
public Task DeleteThreadAsync(AgentThread thread)
{
var typedThread = (ChatClientAgentThread)thread;
if (typedThread?.ConversationId is not null)
{
return this._assistantClient!.DeleteThreadAsync(typedThread.ConversationId);
}
return Task.CompletedTask;
}
public async Task InitializeAsync()
{
var client = new OpenAIClient(s_config.ApiKey);
this._assistantClient = client.GetAssistantClient();
this._agent = await this.CreateChatClientAgentAsync();
}
public Task DisposeAsync()
{
if (this._assistantClient is not null && this._agent is not null)
{
return this._assistantClient.DeleteAssistantAsync(this._agent.Id);
}
return Task.CompletedTask;
}
}

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// Copyright (c) Microsoft. All rights reserved.
using AgentConformance.IntegrationTests;
namespace OpenAIAssistant.IntegrationTests;
public class OpenAIAssistantIRunTests() : RunTests<OpenAIAssistantFixture>(() => new())
{
}

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// Copyright (c) Microsoft. All rights reserved.
using AgentConformance.IntegrationTests;
namespace OpenAIAssistant.IntegrationTests;
public class OpenAIAssistantRunStreamingTests() : RunStreamingTests<OpenAIAssistantFixture>(() => new())
{
}