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feat (website): [refresh] use the new libs for Foundry (new) Agents backend (#64)
* update from net8 to net10 * update packages to their latest * migrate from Foundry (classic) to Foundry (new) projects API * update zip * add instructions to publish an agent with a dedicated endpoint * update foundry agents URL from classic to Microsoft Foundry (new) highlights: - foundry (new) uses new REST api `/agents` endpoint while classic targets `/assistants` * minor improvment to retrieve the agent id * update app service runtime from 8.0 to 10.0
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‎.devcontainer/devcontainer.json‎

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{
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"name": "AI Agent service chat basic reference implementation",
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"image": "mcr.microsoft.com/devcontainers/dotnet:dev-8.0-jammy",
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"image": "mcr.microsoft.com/devcontainers/dotnet:dev-10.0",
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"runArgs": ["--network=host"],
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"remoteUser": "vscode",
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"features": {
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"ms-azuretools.vscode-bicep"
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],
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"settings": {}
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}
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}
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},
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"forwardPorts": []
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}
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}

‎README.md‎

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@@ -154,6 +154,12 @@ To test this scenario, you'll be deploying a prompt-based AI agent. The agent us
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1. Click **Save** buton at the top-right of the Agents' Playground panel.
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1. Click **Publish** button at the top-right of the Agents' Playground panel and then click **Publish Agent** button.
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1. From the confirmation dialog click **Publish** button.
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This will promote an agent from a development asset into a managed Azure resource with a dedicated endpoint.
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### 3. Test the agent from the Foundry portal in the playground
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Here you'll test your orchestration agent by invoking it directly from the Foundry portal agent playground chat experience.
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```bash
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FOUNDRY_NAME="aif${BASE_NAME}"
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FOUNDRY_PROJECT_NAME="projchat"
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FOUNDRY_AGENT_CREATE_URL="https://${FOUNDRY_NAME}.services.ai.azure.com/api/projects/${FOUNDRY_PROJECT_NAME}/assistants?api-version=2025-05-15-preview"
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FOUNDRY_AGENTS_URL="https://${FOUNDRY_NAME}.services.ai.azure.com/api/projects/${FOUNDRY_PROJECT_NAME}/agents?api-version=2025-11-15-preview"
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echo $FOUNDRY_AGENT_CREATE_URL
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echo $FOUNDRY_AGENTS_URL
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```
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1. Get Agent ID value.
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```bash
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AGENT_ID=$(az rest -u $FOUNDRY_AGENT_CREATE_URL -m "get" --resource "https://ai.azure.com" --query 'data[0].id' -o tsv)
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AGENT_ID=$(az rest -u $FOUNDRY_AGENTS_URL -m "get" --resource "https://ai.azure.com" --query last_id -o tsv)
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echo $AGENT_ID
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````

‎infra-as-code/bicep/web-app.bicep‎

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http20Enabled: false
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publicNetworkAccess: 'Enabled'
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alwaysOn: true
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linuxFxVersion: 'DOTNETCORE|8.0'
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linuxFxVersion: 'DOTNETCORE|10.0'
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netFrameworkVersion: null
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windowsFxVersion: null
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}

‎website/chatui.zip‎

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‎website/chatui/Controllers/ChatController.cs‎

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using Microsoft.AspNetCore.Mvc;
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using Microsoft.Extensions.Options;
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using Azure;
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using Azure.AI.Agents.Persistent;
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using Azure.AI.Projects;
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using Azure.AI.Projects.OpenAI;
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using OpenAI.Responses;
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using chatui.Configuration;
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namespace chatui.Controllers;
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[Route("[controller]/[action]")]
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public class ChatController(
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PersistentAgentsClient client,
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AIProjectClient projectClient,
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IOptionsMonitor<ChatApiOptions> options,
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ILogger<ChatController> logger) : ControllerBase
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{
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private readonly PersistentAgentsClient _client = client;
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private readonly AIProjectClient _projectClient = projectClient;
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private readonly IOptionsMonitor<ChatApiOptions> _options = options;
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private readonly ILogger<ChatController> _logger = logger;
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// TODO: [security] Do not trust client to provide threadId. Instead map current user to their active threadid in your application's own state store.
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// Without this security control in place, a user can inject messages into another user's thread.
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[HttpPost("{threadId}")]
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public async Task<IActionResult> Completions([FromRoute] string threadId, [FromBody] string prompt)
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// TODO: [security] Do not trust client to provide conversationId. Instead map current user to their active converstaionid in your application's own state store.
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// Without this security control in place, a user can inject messages into another user's conversation.
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[HttpPost("{conversationId}")]
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public async Task<IActionResult> Completions([FromRoute] string conversationId, [FromBody] string message)
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{
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if (string.IsNullOrWhiteSpace(prompt))
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throw new ArgumentException("Prompt cannot be null, empty, or whitespace.", nameof(prompt));
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if (string.IsNullOrWhiteSpace(message))
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throw new ArgumentException("Message cannot be null, empty, or whitespace.", nameof(message));
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_logger.LogDebug("Prompt received {Prompt}", message);
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_logger.LogDebug("Prompt received {Prompt}", prompt);
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var _config = _options.CurrentValue;
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PersistentThreadMessage message = await _client.Messages.CreateMessageAsync(
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threadId,
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MessageRole.User,
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prompt);
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#pragma warning disable OPENAI001
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MessageResponseItem userMessageResponseItem = ResponseItem.CreateUserMessageItem(
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[ResponseContentPart.CreateInputTextPart(message)]);
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ThreadRun run = await _client.Runs.CreateRunAsync(threadId, _config.AIAgentId);
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var _config = _options.CurrentValue;
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AgentRecord agentRecord = await _projectClient.Agents.GetAgentAsync(_config.AIAgentId);
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var agent = agentRecord.Versions.Latest;
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while (run.Status == RunStatus.Queued || run.Status == RunStatus.InProgress || run.Status == RunStatus.RequiresAction)
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{
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await Task.Delay(TimeSpan.FromMilliseconds(500));
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run = (await _client.Runs.GetRunAsync(threadId, run.Id)).Value;
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}
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ProjectResponsesClient responsesClient
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= _projectClient.OpenAI.GetProjectResponsesClientForAgent(agent, conversationId);
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Pageable<PersistentThreadMessage> messages = _client.Messages.GetMessages(
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threadId: threadId, order: ListSortOrder.Ascending);
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var agentResponseItem = await responsesClient.CreateResponseAsync([userMessageResponseItem]);
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var fullText =
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messages
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.Where(m => m.Role == MessageRole.Agent)
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.SelectMany(m => m.ContentItems.OfType<MessageTextContent>())
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.Last().Text;
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var fullText = agentResponseItem.Value.GetOutputText();
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return Ok(new { data = fullText });
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}
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[HttpPost]
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public async Task<IActionResult> Threads()
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public async Task<IActionResult> Conversations()
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{
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// TODO [performance efficiency] Delay creating a thread until the first user message arrives.
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PersistentAgentThread thread = await _client.Threads.CreateThreadAsync();
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// TODO [performance efficiency] Delay creating a conversation until the first user message arrives.
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ProjectConversationCreationOptions conversationOptions = new();
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ProjectConversation conversation
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= await _projectClient.OpenAI.Conversations.CreateProjectConversationAsync(
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conversationOptions);
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return Ok(new { id = thread.Id });
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return Ok(new { id = conversation.Id });
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}
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}

‎website/chatui/Program.cs‎

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using Microsoft.Extensions.Options;
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using Azure.AI.Agents.Persistent;
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using Azure.AI.Projects;
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using Azure.Identity;
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using chatui.Configuration;
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builder.Services.AddSingleton((provider) =>
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{
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var config = provider.GetRequiredService<IOptions<ChatApiOptions>>().Value;
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PersistentAgentsClient client = new(config.AIProjectEndpoint, new DefaultAzureCredential());
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AIProjectClient projectClient = new(new Uri(config.AIProjectEndpoint), new DefaultAzureCredential());
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return client;
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return projectClient;
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});
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builder.Services.AddControllersWithViews();

‎website/chatui/Views/Home/Index.cshtml‎

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}
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async function createThread() {
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const response = await fetch("/chat/threads", {
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const response = await fetch("/chat/conversations", {
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method: "POST",
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headers: { "Content-Type": "application/json" }
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});

‎website/chatui/chatui.csproj‎

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<Project Sdk="Microsoft.NET.Sdk.Web">
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<PropertyGroup>
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<TargetFramework>net8.0</TargetFramework>
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<TargetFramework>net10.0</TargetFramework>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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<EnablePreviewFeatures>true</EnablePreviewFeatures>
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</PropertyGroup>
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<ItemGroup>
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<Folder Include="wwwroot\" />
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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.Agents.Persistent" Version="1.1.0" />
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<PackageReference Include="Azure.Identity" Version="1.17.0" />
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<PackageReference Include="Azure.AI.Projects" Version="1.2.0-beta.5" />
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<PackageReference Include="Azure.Identity" Version="1.17.1" />
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</ItemGroup>
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</Project>

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