{"slug":"azure-ai-projects-dotnet","title":"azure-ai-projects-dotnet","summary":"Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: \"AI Projects\", \"AIProjectClient\", ","platform":"GitHub Copilot","tags":[],"authorName":"Ciza","authorSlug":"ciza","score":0,"source":"github","price":null,"verified":false,"createdAt":"2026-08-12T21:05:11.83518Z","repo":{"url":"https://github.com/microsoft/skills","stars":3052,"forks":351,"license":"MIT","updatedAt":"2026-09-24T16:38:17Z"},"bodyHtml":"<hr>\n<h2>name: azure-ai-projects-dotnet\ndescription: |\nAzure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: \"AI Projects\", \"AIProjectClient\", \"Foundry project\", \"versioned agents\", \"evaluations\", \"datasets\", \"connections\", \"deployments .NET\".\nlicense: MIT\nmetadata:\nauthor: Microsoft\nversion: \"1.0.0\"\npackage: Azure.AI.Projects</h2>\n<h1>Azure.AI.Projects (.NET)</h1>\n<p>High-level SDK for Azure AI Foundry project operations including agents, connections, datasets, deployments, evaluations, and indexes.</p>\n<h2>Installation</h2>\n<pre><code>dotnet add package Azure.AI.Projects\ndotnet add package Azure.Identity\n\n# Optional: For versioned agents with OpenAI extensions\ndotnet add package Azure.AI.Projects.OpenAI --prerelease\n\n# Optional: For low-level agent operations\ndotnet add package Azure.AI.Agents.Persistent --prerelease\n</code></pre>\n<p><strong>Current Versions</strong>: GA v1.1.0, Preview v1.2.0-beta.5</p>\n<h2>Environment Variables</h2>\n<pre><code>PROJECT_ENDPOINT=https://&lt;resource&gt;.services.ai.azure.com/api/projects/&lt;project&gt;  # Required: Azure AI project endpoint\nMODEL_DEPLOYMENT_NAME=gpt-4o-mini  # Required: model deployment name\nCONNECTION_NAME=&lt;your-connection-name&gt;  # Optional: project connection name\nAI_SEARCH_CONNECTION_NAME=&lt;ai-search-connection&gt;  # Optional: Azure AI Search connection name\nAZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production\n</code></pre>\n<h2>Authentication</h2>\n<pre><code>using Azure.Identity;\nusing Azure.AI.Projects;\n\nvar endpoint = Environment.GetEnvironmentVariable(\"PROJECT_ENDPOINT\");\n// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=&lt;specific_credential&gt;\nvar credential = new DefaultAzureCredential(\n    DefaultAzureCredential.DefaultEnvironmentVariableName\n);\n// Or use a specific credential directly in production:\n// See https://learn.microsoft.com/dotnet/api/overview/azure/identity-readme?view=azure-dotnet#credential-classes\n// var credential = new ManagedIdentityCredential();\nAIProjectClient projectClient = new AIProjectClient(\n    new Uri(endpoint), \n    credential);\n</code></pre>\n<h2>Client Hierarchy</h2>\n<pre><code>AIProjectClient\n├── Agents          → AIProjectAgentsOperations (versioned agents)\n├── Connections     → ConnectionsClient\n├── Datasets        → DatasetsClient\n├── Deployments     → DeploymentsClient\n├── Evaluations     → EvaluationsClient\n├── Evaluators      → EvaluatorsClient\n├── Indexes         → IndexesClient\n├── Telemetry       → AIProjectTelemetry\n├── OpenAI          → ProjectOpenAIClient (preview)\n└── GetPersistentAgentsClient() → PersistentAgentsClient\n</code></pre>\n<h2>Core Workflows</h2>\n<h3>1. Get Persistent Agents Client</h3>\n<pre><code>// Get low-level agents client from project client\nPersistentAgentsClient agentsClient = projectClient.GetPersistentAgentsClient();\n\n// Create agent\nPersistentAgent agent = await agentsClient.Administration.CreateAgentAsync(\n    model: \"gpt-4o-mini\",\n    name: \"Math Tutor\",\n    instructions: \"You are a personal math tutor.\");\n\n// Create thread and run\nPersistentAgentThread thread = await agentsClient.Threads.CreateThreadAsync();\nawait agentsClient.Messages.CreateMessageAsync(thread.Id, MessageRole.User, \"Solve 3x + 11 = 14\");\nThreadRun run = await agentsClient.Runs.CreateRunAsync(thread.Id, agent.Id);\n\n// Poll for completion\ndo\n{\n    await Task.Delay(500);\n    run = await agentsClient.Runs.GetRunAsync(thread.Id, run.Id);\n}\nwhile (run.Status == RunStatus.Queued || run.Status == RunStatus.InProgress);\n\n// Get messages\nawait foreach (var msg in agentsClient.Messages.GetMessagesAsync(thread.Id))\n{\n    foreach (var content in msg.ContentItems)\n    {\n        if (content is MessageTextContent textContent)\n            Console.WriteLine(textContent.Text);\n    }\n}\n\n// Cleanup\nawait agentsClient.Threads.DeleteThreadAsync(thread.Id);\nawait agentsClient.Administration.DeleteAgentAsync(agent.Id);\n</code></pre>\n<h3>2. Versioned Agents with Tools (Preview)</h3>\n<pre><code>using Azure.AI.Projects.OpenAI;\n\n// Create agent with web search tool\nPromptAgentDefinition agentDefinition = new(model: \"gpt-4o-mini\")\n{\n    Instructions = \"You are a helpful assistant that can search the web\",\n    Tools = {\n        ResponseTool.CreateWebSearchTool(\n            userLocation: WebSearchToolLocation.CreateApproximateLocation(\n                country: \"US\",\n                city: \"Seattle\",\n                region: \"Washington\"\n            )\n        ),\n    }\n};\n\nAgentVersion agentVersion = await projectClient.Agents.CreateAgentVersionAsync(\n    agentName: \"myAgent\",\n    options: new(agentDefinition));\n\n// Get response client\nProjectResponsesClient responseClient = projectClient.OpenAI.GetProjectResponsesClientForAgent(agentVersion.Name);\n\n// Create response\nResponseResult response = responseClient.CreateResponse(\"What's the weather in Seattle?\");\nConsole.WriteLine(response.GetOutputText());\n\n// Cleanup\nprojectClient.Agents.DeleteAgentVersion(agentName: agentVersion.Name, agentVersion: agentVersion.Version);\n</code></pre>\n<h3>3. Connections</h3>\n<pre><code>// List all connections\nforeach (AIProjectConnection connection in projectClient.Connections.GetConnections())\n{\n    Console.WriteLine($\"{connection.Name}: {connection.ConnectionType}\");\n}\n\n// Get specific connection\nAIProjectConnection conn = projectClient.Connections.GetConnection(\n    connectionName, \n    includeCredentials: true);\n\n// Get default connection\nAIProjectConnection defaultConn = projectClient.Connections.GetDefaultConnection(\n    includeCredentials: false);\n</code></pre>\n<h3>4. Deployments</h3>\n<pre><code>// List all deployments\nforeach (AIProjectDeployment deployment in projectClient.Deployments.GetDeployments())\n{\n    Console.WriteLine($\"{deployment.Name}: {deployment.ModelName}\");\n}\n\n// Filter by publisher\nforeach (var deployment in projectClient.Deployments.GetDeployments(modelPublisher: \"Microsoft\"))\n{\n    Console.WriteLine(deployment.Name);\n}\n\n// Get specific deployment\nModelDeployment details = (ModelDeployment)projectClient.Deployments.GetDeployment(\"gpt-4o-mini\");\n</code></pre>\n<h3>5. Datasets</h3>\n<pre><code>// Upload single file\nFileDataset fileDataset = projectClient.Datasets.UploadFile(\n    name: \"my-dataset\",\n    version: \"1.0\",\n    filePath: \"data/training.txt\",\n    connectionName: connectionName);\n\n// Upload folder\nFolderDataset folderDataset = projectClient.Datasets.UploadFolder(\n    name: \"my-dataset\",\n    version: \"2.0\",\n    folderPath: \"data/training\",\n    connectionName: connectionName,\n    filePattern: new Regex(\".*\\\\.txt\"));\n\n// Get dataset\nAIProjectDataset dataset = projectClient.Datasets.GetDataset(\"my-dataset\", \"1.0\");\n\n// Delete dataset\nprojectClient.Datasets.Delete(\"my-dataset\", \"1.0\");\n</code></pre>\n<h3>6. Indexes</h3>\n<pre><code>// Create Azure AI Search index\nAzureAISearchIndex searchIndex = new(aiSearchConnectionName, aiSearchIndexName)\n{\n    Description = \"Sample Index\"\n};\n\nsearchIndex = (AzureAISearchIndex)projectClient.Indexes.CreateOrUpdate(\n    name: \"my-index\",\n    version: \"1.0\",\n    index: searchIndex);\n\n// List indexes\nforeach (AIProjectIndex index in projectClient.Indexes.GetIndexes())\n{\n    Console.WriteLine(index.Name);\n}\n\n// Delete index\nprojectClient.Indexes.Delete(name: \"my-index\", version: \"1.0\");\n</code></pre>\n<h3>7. Evaluations</h3>\n<pre><code>// Create evaluation configuration\nvar evaluatorConfig = new EvaluatorConfiguration(id: EvaluatorIDs.Relevance);\nevaluatorConfig.InitParams.Add(\"deployment_name\", BinaryData.FromObjectAsJson(\"gpt-4o\"));\n\n// Create evaluation\nEvaluation evaluation = new Evaluation(\n    data: new InputDataset(\"&lt;dataset_id&gt;\"),\n    evaluators: new Dictionary&lt;string, EvaluatorConfiguration&gt; \n    { \n        { \"relevance\", evaluatorConfig } \n    }\n)\n{\n    DisplayName = \"Sample Evaluation\"\n};\n\n// Run evaluation\nEvaluation result = projectClient.Evaluations.Create(evaluation: evaluation);\n\n// Get evaluation\nEvaluation getResult = projectClient.Evaluations.Get(result.Name);\n\n// List evaluations\nforeach (var eval in projectClient.Evaluations.GetAll())\n{\n    Console.WriteLine($\"{eval.DisplayName}: {eval.Status}\");\n}\n</code></pre>\n<h3>8. Get Azure OpenAI Chat Client</h3>\n<pre><code>using Azure.AI.OpenAI;\nusing OpenAI.Chat;\n\nClientConnection connection = projectClient.GetConnection(typeof(AzureOpenAIClient).FullName!);\n\nif (!connection.TryGetLocatorAsUri(out Uri uri) || uri is null)\n    throw new InvalidOperationException(\"Invalid URI.\");\n\nuri = new Uri($\"https://{uri.Host}\");\n\nAzureOpenAIClient azureOpenAIClient = new AzureOpenAIClient(uri, new DefaultAzureCredential());\nChatClient chatClient = azureOpenAIClient.GetChatClient(\"gpt-4o-mini\");\n\nChatCompletion result = chatClient.CompleteChat(\"List all rainbow colors\");\nConsole.WriteLine(result.Content[0].Text);\n</code></pre>\n<h2>Available Agent Tools</h2>\n<table>\n<thead>\n<tr>\n<th>Tool</th>\n<th>Class</th>\n<th>Purpose</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Code Interpreter</td>\n<td><code>CodeInterpreterToolDefinition</code></td>\n<td>Execute Python code</td>\n</tr>\n<tr>\n<td>File Search</td>\n<td><code>FileSearchToolDefinition</code></td>\n<td>Search uploaded files</td>\n</tr>\n<tr>\n<td>Function Calling</td>\n<td><code>FunctionToolDefinition</code></td>\n<td>Call custom functions</td>\n</tr>\n<tr>\n<td>Bing Grounding</td>\n<td><code>BingGroundingToolDefinition</code></td>\n<td>Web search via Bing</td>\n</tr>\n<tr>\n<td>Azure AI Search</td>\n<td><code>AzureAISearchToolDefinition</code></td>\n<td>Search Azure AI indexes</td>\n</tr>\n<tr>\n<td>OpenAPI</td>\n<td><code>OpenApiToolDefinition</code></td>\n<td>Call external APIs</td>\n</tr>\n<tr>\n<td>Azure Functions</td>\n<td><code>AzureFunctionToolDefinition</code></td>\n<td>Invoke Azure Functions</td>\n</tr>\n<tr>\n<td>MCP</td>\n<td><code>MCPToolDefinition</code></td>\n<td>Model Context Protocol tools</td>\n</tr>\n</tbody>\n</table>\n<h2>Key Types Reference</h2>\n<table>\n<thead>\n<tr>\n<th>Type</th>\n<th>Purpose</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>AIProjectClient</code></td>\n<td>Main entry point</td>\n</tr>\n<tr>\n<td><code>PersistentAgentsClient</code></td>\n<td>Low-level agent operations</td>\n</tr>\n<tr>\n<td><code>PromptAgentDefinition</code></td>\n<td>Versioned agent definition</td>\n</tr>\n<tr>\n<td><code>AgentVersion</code></td>\n<td>Versioned agent instance</td>\n</tr>\n<tr>\n<td><code>AIProjectConnection</code></td>\n<td>Connection to Azure resource</td>\n</tr>\n<tr>\n<td><code>AIProjectDeployment</code></td>\n<td>Model deployment info</td>\n</tr>\n<tr>\n<td><code>AIProjectDataset</code></td>\n<td>Dataset metadata</td>\n</tr>\n<tr>\n<td><code>AIProjectIndex</code></td>\n<td>Search index metadata</td>\n</tr>\n<tr>\n<td><code>Evaluation</code></td>\n<td>Evaluation configuration and results</td>\n</tr>\n</tbody>\n</table>\n<h2>Best Practices</h2>\n<ol>\n<li><strong>Use <code>DefaultAzureCredential</code></strong> for production authentication</li>\n<li><strong>Use async methods</strong> (<code>*Async</code>) for all I/O operations</li>\n<li><strong>Poll with appropriate delays</strong> (500ms recommended) when waiting for runs</li>\n<li><strong>Clean up resources</strong> — delete threads, agents, and files when done</li>\n<li><strong>Use versioned agents</strong> (via <code>Azure.AI.Projects.OpenAI</code>) for production scenarios</li>\n<li><strong>Store connection IDs</strong> rather than names for tool configurations</li>\n<li><strong>Use <code>includeCredentials: true</code></strong> only when credentials are needed</li>\n<li><strong>Handle pagination</strong> — use <code>AsyncPageable&lt;T&gt;</code> for listing operations</li>\n</ol>\n<h2>Error Handling</h2>\n<pre><code>using Azure;\n\ntry\n{\n    var result = await projectClient.Evaluations.CreateAsync(evaluation);\n}\ncatch (RequestFailedException ex)\n{\n    Console.WriteLine($\"Error: {ex.Status} - {ex.ErrorCode}: {ex.Message}\");\n}\n</code></pre>\n<h2>Related SDKs</h2>\n<table>\n<thead>\n<tr>\n<th>SDK</th>\n<th>Purpose</th>\n<th>Install</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>Azure.AI.Projects</code></td>\n<td>High-level project client (this SDK)</td>\n<td><code>dotnet add package Azure.AI.Projects</code></td>\n</tr>\n<tr>\n<td><code>Azure.AI.Agents.Persistent</code></td>\n<td>Low-level agent operations</td>\n<td><code>dotnet add package Azure.AI.Agents.Persistent</code></td>\n</tr>\n<tr>\n<td><code>Azure.AI.Projects.OpenAI</code></td>\n<td>Versioned agents with OpenAI</td>\n<td><code>dotnet add package Azure.AI.Projects.OpenAI</code></td>\n</tr>\n</tbody>\n</table>\n<h2>Reference Links</h2>\n<table>\n<thead>\n<tr>\n<th>Resource</th>\n<th>URL</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>NuGet Package</td>\n<td><a href=\"https://www.nuget.org/packages/Azure.AI.Projects\">https://www.nuget.org/packages/Azure.AI.Projects</a></td>\n</tr>\n<tr>\n<td>API Reference</td>\n<td><a href=\"https://learn.microsoft.com/dotnet/api/azure.ai.projects\">https://learn.microsoft.com/dotnet/api/azure.ai.projects</a></td>\n</tr>\n<tr>\n<td>GitHub Source</td>\n<td><a href=\"https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Projects\">https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Projects</a></td>\n</tr>\n<tr>\n<td>Samples</td>\n<td><a href=\"https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Projects/samples\">https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/ai/Azure.AI.Projects/samples</a></td>\n</tr>\n</tbody>\n</table>\n","files":[{"path":"SKILL.md","sizeBytes":11686,"isText":true}],"reviewScore":null,"reviewSummary":null,"trust":{"provenance":"trusted-source-unreviewed","notice":"Community-authored content, reproduced verbatim and not vetted as instructions. 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