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@@ -0,0 +1,277 @@
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// Copyright (c) Microsoft. All rights reserved.
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using System;
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using System.Diagnostics;
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using System.IO;
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using System.Threading.Tasks;
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using AgentConformance.IntegrationTests.Support;
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using Azure.AI.Agents.Persistent;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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using Shared.IntegrationTests;
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namespace AzureAIAgentsPersistent.IntegrationTests;
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public class AzureAIAgentsPersistentCreateTests
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{
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private static readonly AzureAIConfiguration s_config = TestConfiguration.LoadSection<AzureAIConfiguration>();
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private readonly PersistentAgentsClient _persistentAgentsClient = new(s_config.Endpoint, new AzureCliCredential());
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[Theory]
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[InlineData("CreateWithChatClientAgentOptionsAsync")]
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[InlineData("CreateWithFoundryOptionsAsync")]
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public async Task CreateAgent_CreatesAgentWithCorrectMetadataAsync(string createMechanism)
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{
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// Arrange.
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const string AgentName = "IntegrationTestAgent";
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const string AgentDescription = "An agent created during integration tests";
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const string AgentInstructions = "You are an integration test agent";
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// Act.
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var agent = createMechanism switch
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{
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"CreateWithChatClientAgentOptionsAsync" => await this._persistentAgentsClient.CreateAIAgentAsync(
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s_config.DeploymentName,
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options: new ChatClientAgentOptions()
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{
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ChatOptions = new() { Instructions = AgentInstructions },
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Name = AgentName,
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Description = AgentDescription
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}),
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"CreateWithFoundryOptionsAsync" => await this._persistentAgentsClient.CreateAIAgentAsync(
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s_config.DeploymentName,
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instructions: AgentInstructions,
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name: AgentName,
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description: AgentDescription),
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_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
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};
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try
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{
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// Assert.
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Assert.NotNull(agent);
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Assert.Equal(AgentName, agent.Name);
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Assert.Equal(AgentDescription, agent.Description);
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Assert.Equal(AgentInstructions, agent.Instructions);
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var retrievedAgentMetadata = await this._persistentAgentsClient.Administration.GetAgentAsync(agent.Id);
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Assert.NotNull(retrievedAgentMetadata);
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Assert.Equal(AgentName, retrievedAgentMetadata.Value.Name);
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Assert.Equal(AgentDescription, retrievedAgentMetadata.Value.Description);
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Assert.Equal(AgentInstructions, retrievedAgentMetadata.Value.Instructions);
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}
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finally
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{
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// Cleanup.
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await this._persistentAgentsClient.Administration.DeleteAgentAsync(agent.Id);
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}
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}
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[Theory(Skip = "For manual testing only")]
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[InlineData("CreateWithChatClientAgentOptionsAsync")]
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[InlineData("CreateWithFoundryOptionsAsync")]
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public async Task CreateAgent_CreatesAgentWithVectorStoresAsync(string createMechanism)
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{
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// Arrange.
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const string AgentInstructions = """
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You are a helpful agent that can help fetch data from files you know about.
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Use the File Search Tool to look up codes for words.
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Do not answer a question unless you can find the answer using the File Search Tool.
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""";
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// Create a vector store.
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var searchFilePath = Path.GetTempFileName() + "wordcodelookup.txt";
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File.WriteAllText(
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path: searchFilePath,
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contents: "The word 'apple' uses the code 442345, while the word 'banana' uses the code 673457."
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);
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PersistentAgentFileInfo uploadedAgentFile = this._persistentAgentsClient.Files.UploadFile(
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filePath: searchFilePath,
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purpose: PersistentAgentFilePurpose.Agents
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);
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var vectorStoreMetadata = await this._persistentAgentsClient.VectorStores.CreateVectorStoreAsync([uploadedAgentFile.Id], name: "WordCodeLookup_VectorStore");
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// Wait for vector store indexing to complete before using it
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await this.WaitForVectorStoreReadyAsync(this._persistentAgentsClient, vectorStoreMetadata.Value.Id);
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// Act.
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var agent = createMechanism switch
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{
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"CreateWithChatClientAgentOptionsAsync" => await this._persistentAgentsClient.CreateAIAgentAsync(
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s_config.DeploymentName,
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options: new ChatClientAgentOptions()
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{
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ChatOptions = new()
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{
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Instructions = AgentInstructions,
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Tools = [new HostedFileSearchTool() { Inputs = [new HostedVectorStoreContent(vectorStoreMetadata.Value.Id)] }]
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}
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}),
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"CreateWithFoundryOptionsAsync" => await this._persistentAgentsClient.CreateAIAgentAsync(
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s_config.DeploymentName,
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instructions: AgentInstructions,
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tools: [new FileSearchToolDefinition()],
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toolResources: new ToolResources() { FileSearch = new([vectorStoreMetadata.Value.Id], null) }),
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_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
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};
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try
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{
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// Assert.
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// Verify that the agent can use the vector store to answer a question.
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var result = await agent.RunAsync("Can you give me the documented code for 'banana'?");
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Assert.Contains("673457", result.ToString());
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}
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finally
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{
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// Cleanup.
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await this._persistentAgentsClient.Administration.DeleteAgentAsync(agent.Id);
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await this._persistentAgentsClient.VectorStores.DeleteVectorStoreAsync(vectorStoreMetadata.Value.Id);
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await this._persistentAgentsClient.Files.DeleteFileAsync(uploadedAgentFile.Id);
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File.Delete(searchFilePath);
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}
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}
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[Theory]
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[InlineData("CreateWithChatClientAgentOptionsAsync")]
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[InlineData("CreateWithFoundryOptionsAsync")]
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public async Task CreateAgent_CreatesAgentWithCodeInterpreterAsync(string createMechanism)
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{
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// Arrange.
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const string AgentInstructions = """
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You are a helpful coding agent. A Python file is provided. Use the Code Interpreter Tool to run the file
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and report the SECRET_NUMBER value it prints. Respond only with the number.
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""";
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// Create a python file that prints a known value.
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var codeFilePath = Path.GetTempFileName() + "secret_number.py";
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File.WriteAllText(
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path: codeFilePath,
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contents: "print(\"SECRET_NUMBER=24601\")" // Deterministic output we will look for.
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);
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PersistentAgentFileInfo uploadedCodeFile = this._persistentAgentsClient.Files.UploadFile(
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filePath: codeFilePath,
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purpose: PersistentAgentFilePurpose.Agents
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);
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CodeInterpreterToolResource toolResource = new();
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toolResource.FileIds.Add(uploadedCodeFile.Id);
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// Act.
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var agent = createMechanism switch
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{
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// Hosted tool path (tools supplied via ChatClientAgentOptions)
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"CreateWithChatClientAgentOptionsAsync" => await this._persistentAgentsClient.CreateAIAgentAsync(
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s_config.DeploymentName,
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options: new ChatClientAgentOptions()
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{
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ChatOptions = new()
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{
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Instructions = AgentInstructions,
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Tools = [new HostedCodeInterpreterTool() { Inputs = [new HostedFileContent(uploadedCodeFile.Id)] }]
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}
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}),
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"CreateWithFoundryOptionsAsync" => await this._persistentAgentsClient.CreateAIAgentAsync(
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s_config.DeploymentName,
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instructions: AgentInstructions,
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tools: [new CodeInterpreterToolDefinition()],
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toolResources: new ToolResources() { CodeInterpreter = toolResource }),
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_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
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};
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try
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{
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// Assert.
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var result = await agent.RunAsync("What is the SECRET_NUMBER?");
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// We expect the model to run the code and surface the number.
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Assert.Contains("24601", result.ToString());
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}
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finally
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{
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// Cleanup.
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await this._persistentAgentsClient.Administration.DeleteAgentAsync(agent.Id);
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await this._persistentAgentsClient.Files.DeleteFileAsync(uploadedCodeFile.Id);
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File.Delete(codeFilePath);
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}
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}
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[Theory]
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[InlineData("CreateWithChatClientAgentOptionsAsync")]
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public async Task CreateAgent_CreatesAgentWithAIFunctionToolsAsync(string createMechanism)
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{
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// Arrange.
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const string AgentInstructions = "You are a helpful weather assistant. Always call the GetWeather function to answer questions about weather.";
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static string GetWeather(string location) => $"The weather in {location} is sunny with a high of 23C.";
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var weatherFunction = AIFunctionFactory.Create(GetWeather);
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ChatClientAgent agent = createMechanism switch
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{
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"CreateWithChatClientAgentOptionsAsync" => await this._persistentAgentsClient.CreateAIAgentAsync(
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s_config.DeploymentName,
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options: new ChatClientAgentOptions()
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{
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ChatOptions = new()
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{
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Instructions = AgentInstructions,
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Tools = [weatherFunction]
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}
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}),
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_ => throw new InvalidOperationException($"Unknown create mechanism: {createMechanism}")
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};
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try
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{
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// Act.
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var response = await agent.RunAsync("What is the weather like in Amsterdam?");
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// Assert - ensure function was invoked and its output surfaced.
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var text = response.Text;
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Assert.Contains("Amsterdam", text, StringComparison.OrdinalIgnoreCase);
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Assert.Contains("sunny", text, StringComparison.OrdinalIgnoreCase);
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Assert.Contains("23", text, StringComparison.OrdinalIgnoreCase);
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}
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finally
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{
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await this._persistentAgentsClient.Administration.DeleteAgentAsync(agent.Id);
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}
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}
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/// <summary>
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/// Waits for a vector store to complete indexing by polling its status.
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/// </summary>
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/// <param name="client">The persistent agents client.</param>
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/// <param name="vectorStoreId">The ID of the vector store.</param>
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/// <param name="maxWaitSeconds">Maximum time to wait in seconds (default: 30).</param>
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/// <returns>A task that completes when the vector store is ready or throws on timeout/failure.</returns>
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private async Task WaitForVectorStoreReadyAsync(
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PersistentAgentsClient client,
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string vectorStoreId,
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int maxWaitSeconds = 30)
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{
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Stopwatch sw = Stopwatch.StartNew();
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while (sw.Elapsed.TotalSeconds < maxWaitSeconds)
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{
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PersistentAgentsVectorStore vectorStore = await client.VectorStores.GetVectorStoreAsync(vectorStoreId);
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if (vectorStore.Status == VectorStoreStatus.Completed)
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{
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if (vectorStore.FileCounts.Failed > 0)
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{
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throw new InvalidOperationException("Vector store indexing failed for some files");
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}
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return;
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}
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if (vectorStore.Status == VectorStoreStatus.Expired)
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{
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throw new InvalidOperationException("Vector store has expired");
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}
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await Task.Delay(1000);
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}
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throw new TimeoutException($"Vector store did not complete indexing within {maxWaitSeconds}s");
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}
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}
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