[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M715ACS5DF29ATMZ1RSANRFT":3,"skill-same:01M715ACS5DF29ATMZ1RSANRFT":65},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":14,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":50,"install":51,"resources":64},"01M715ACS5DF29ATMZ1RSANRFT","azure-ai-projects-java",null,"Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fcursor\u002Fazure-ai-projects-java\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"azure","java","azure ai","azure ai projects java","azure ai projects","projects","project management","management","foundry","indexes","2026","datasets","sdk","high","unknown","connections","project","for","azure ai foundry","community","2026-11-10 10:12:30",false,"---\nname: azure-ai-projects-java\ndescription: Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations.\nrisk: unknown\nsource: community\ndate_added: '2026-02-27'\n---\n\n# Azure AI Projects SDK for Java\n\nHigh-level SDK for Azure AI Foundry project management with access to connections, datasets, indexes, and evaluations.\n\n## Installation\n\n```xml\n\u003Cdependency>\n    \u003CgroupId>com.azure\u003C\u002FgroupId>\n    \u003CartifactId>azure-ai-projects\u003C\u002FartifactId>\n    \u003Cversion>1.0.0-beta.1\u003C\u002Fversion>\n\u003C\u002Fdependency>\n```\n\n## Environment Variables\n\n```bash\nPROJECT_ENDPOINT=https:\u002F\u002F\u003Cresource>.services.ai.azure.com\u002Fapi\u002Fprojects\u002F\u003Cproject>\n```\n\n## Authentication\n\n```java\nimport com.azure.ai.projects.AIProjectClientBuilder;\nimport com.azure.identity.DefaultAzureCredentialBuilder;\n\nAIProjectClientBuilder builder = new AIProjectClientBuilder()\n    .endpoint(System.getenv(\"PROJECT_ENDPOINT\"))\n    .credential(new DefaultAzureCredentialBuilder().build());\n```\n\n## Client Hierarchy\n\nThe SDK provides multiple sub-clients for different operations:\n\n| Client | Purpose |\n|--------|---------|\n| `ConnectionsClient` | Enumerate connected Azure resources |\n| `DatasetsClient` | Upload documents and manage datasets |\n| `DeploymentsClient` | Enumerate AI model deployments |\n| `IndexesClient` | Create and manage search indexes |\n| `EvaluationsClient` | Run AI model evaluations |\n| `EvaluatorsClient` | Manage evaluator configurations |\n| `SchedulesClient` | Manage scheduled operations |\n\n```java\n\u002F\u002F Build sub-clients from builder\nConnectionsClient connectionsClient = builder.buildConnectionsClient();\nDatasetsClient datasetsClient = builder.buildDatasetsClient();\nDeploymentsClient deploymentsClient = builder.buildDeploymentsClient();\nIndexesClient indexesClient = builder.buildIndexesClient();\nEvaluationsClient evaluationsClient = builder.buildEvaluationsClient();\n```\n\n## Core Operations\n\n### List Connections\n\n```java\nimport com.azure.ai.projects.models.Connection;\nimport com.azure.core.http.rest.PagedIterable;\n\nPagedIterable\u003CConnection> connections = connectionsClient.listConnections();\nfor (Connection connection : connections) {\n    System.out.println(\"Name: \" + connection.getName());\n    System.out.println(\"Type: \" + connection.getType());\n    System.out.println(\"Credential Type: \" + connection.getCredentials().getType());\n}\n```\n\n### List Indexes\n\n```java\nindexesClient.listLatest().forEach(index -> {\n    System.out.println(\"Index name: \" + index.getName());\n    System.out.println(\"Version: \" + index.getVersion());\n    System.out.println(\"Description: \" + index.getDescription());\n});\n```\n\n### Create or Update Index\n\n```java\nimport com.azure.ai.projects.models.AzureAISearchIndex;\nimport com.azure.ai.projects.models.Index;\n\nString indexName = \"my-index\";\nString indexVersion = \"1.0\";\nString searchConnectionName = System.getenv(\"AI_SEARCH_CONNECTION_NAME\");\nString searchIndexName = System.getenv(\"AI_SEARCH_INDEX_NAME\");\n\nIndex index = indexesClient.createOrUpdate(\n    indexName,\n    indexVersion,\n    new AzureAISearchIndex()\n        .setConnectionName(searchConnectionName)\n        .setIndexName(searchIndexName)\n);\n\nSystem.out.println(\"Created index: \" + index.getName());\n```\n\n### Access OpenAI Evaluations\n\nThe SDK exposes OpenAI's official SDK for evaluations:\n\n```java\nimport com.openai.services.EvalService;\n\nEvalService evalService = evaluationsClient.getOpenAIClient();\n\u002F\u002F Use OpenAI evaluation APIs directly\n```\n\n## Best Practices\n\n1. **Use DefaultAzureCredential** for production authentication\n2. **Reuse client builder** to create multiple sub-clients efficiently\n3. **Handle pagination** when listing resources with `PagedIterable`\n4. **Use environment variables** for connection names and configuration\n5. **Check connection types** before accessing credentials\n\n## Error Handling\n\n```java\nimport com.azure.core.exception.HttpResponseException;\nimport com.azure.core.exception.ResourceNotFoundException;\n\ntry {\n    Index index = indexesClient.get(indexName, version);\n} catch (ResourceNotFoundException e) {\n    System.err.println(\"Index not found: \" + indexName);\n} catch (HttpResponseException e) {\n    System.err.println(\"Error: \" + e.getResponse().getStatusCode());\n}\n```\n\n## Reference Links\n\n| Resource | URL |\n|----------|-----|\n| Product Docs | https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fai-studio\u002F |\n| API Reference | https:\u002F\u002Flearn.microsoft.com\u002Frest\u002Fapi\u002Faifoundry\u002Faiprojects\u002F |\n| GitHub Source | https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-sdk-for-java\u002Ftree\u002Fmain\u002Fsdk\u002Fai\u002Fazure-ai-projects |\n| Samples | https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-sdk-for-java\u002Ftree\u002Fmain\u002Fsdk\u002Fai\u002Fazure-ai-projects\u002Fsrc\u002Fsamples |\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# Azure AI Projects SDK for Java\n\nHigh-level SDK for Azure AI Foundry project management with access to connections, datasets, indexes, and evaluations.\n\n## Installation\n\n```xml\n\u003Cdependency>\n    \u003CgroupId>com.azure\u003C\u002FgroupId>\n    \u003CartifactId>azure-ai-projects\u003C\u002FartifactId>\n    \u003Cversion>1.0.0-beta.1\u003C\u002Fversion>\n\u003C\u002Fdependency>\n```\n\n## Environment Variables\n\n```bash\nPROJECT_ENDPOINT=https:\u002F\u002F\u003Cresource>.services.ai.azure.com\u002Fapi\u002Fprojects\u002F\u003Cproject>\n```\n\n## Authentication\n\n```java\nimport com.azure.ai.projects.AIProjectClientBuilder;\nimport com.azure.identity.DefaultAzureCredentialBuilder;\n\nAIProjectClientBuilder builder = new AIProjectClientBuilder()\n    .endpoint(System.getenv(\"PROJECT_ENDPOINT\"))\n    .credential(new DefaultAzureCredentialBuilder().build());\n```\n\n## Client Hierarchy\n\nThe SDK provides multiple sub-clients for different operations:\n\n| Client | Purpose |\n|--------|---------|\n| `ConnectionsClient` | Enumerate connected Azure resources |\n| `DatasetsClient` | Upload documents and manage datasets |\n| `DeploymentsClient` | Enumerate AI model deployments |\n| `IndexesClient` | Create and manage search indexes |\n| `EvaluationsClient` | Run AI model evaluations |\n| `EvaluatorsClient` | Manage evaluator configurations |\n| `SchedulesClient` | Manage scheduled operations |\n\n```java\n\u002F\u002F Build sub-clients from builder\nConnectionsClient connectionsClient = builder.buildConnectionsClient();\nDatasetsClient datasetsClient = builder.buildDatasetsClient();\nDeploymentsClient deploymentsClient = builder.buildDeploymentsClient();\nIndexesClient indexesClient = builder.buildIndexesClient();\nEvaluationsClient evaluationsClient = builder.buildEvaluationsClient();\n```\n\n## Core Operations\n\n### List Connections\n\n```java\nimport com.azure.ai.projects.models.Connection;\nimport com.azure.core.http.rest.PagedIterable;\n\nPagedIterable\u003CConnection> connections = connectionsClient.listConnections();\nfor (Connection connection : connections) {\n    System.out.println(\"Name: \" + connection.getName());\n    System.out.println(\"Type: \" + connection.getType());\n    System.out.println(\"Credential Type: \" + connection.getCredentials().getType());\n}\n```\n\n### List Indexes\n\n```java\nindexesClient.listLatest().forEach(index -> {\n    System.out.println(\"Index name: \" + index.getName());\n    System.out.println(\"Version: \" + index.getVersion());\n    System.out.println(\"Description: \" + index.getDescription());\n});\n```\n\n### Create or Update Index\n\n```java\nimport com.azure.ai.projects.models.AzureAISearchIndex;\nimport com.azure.ai.projects.models.Index;\n\nString indexName = \"my-index\";\nString indexVersion = \"1.0\";\nString searchConnectionName = System.getenv(\"AI_SEARCH_CONNECTION_NAME\");\nString searchIndexName = System.getenv(\"AI_SEARCH_INDEX_NAME\");\n\nIndex index = indexesClient.createOrUpdate(\n    indexName,\n    indexVersion,\n    new AzureAISearchIndex()\n        .setConnectionName(searchConnectionName)\n        .setIndexName(searchIndexName)\n);\n\nSystem.out.println(\"Created index: \" + index.getName());\n```\n\n### Access OpenAI Evaluations\n\nThe SDK exposes OpenAI's official SDK for evaluations:\n\n```java\nimport com.openai.services.EvalService;\n\nEvalService evalService = evaluationsClient.getOpenAIClient();\n\u002F\u002F Use OpenAI evaluation APIs directly\n```\n\n## Best Practices\n\n1. **Use DefaultAzureCredential** for production authentication\n2. **Reuse client builder** to create multiple sub-clients efficiently\n3. **Handle pagination** when listing resources with `PagedIterable`\n4. **Use environment variables** for connection names and configuration\n5. **Check connection types** before accessing credentials\n\n## Error Handling\n\n```java\nimport com.azure.core.exception.HttpResponseException;\nimport com.azure.core.exception.ResourceNotFoundException;\n\ntry {\n    Index index = indexesClient.get(indexName, version);\n} catch (ResourceNotFoundException e) {\n    System.err.println(\"Index not found: \" + indexName);\n} catch (HttpResponseException e) {\n    System.err.println(\"Error: \" + e.getResponse().getStatusCode());\n}\n```\n\n## Reference Links\n\n| Resource | URL |\n|----------|-----|\n| Product Docs | https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fai-studio\u002F |\n| API Reference | https:\u002F\u002Flearn.microsoft.com\u002Frest\u002Fapi\u002Faifoundry\u002Faiprojects\u002F |\n| GitHub Source | https:\u002F\u002Fgithub.com\u002FAzure\u002Fazure-sdk-for-java\u002Ftree\u002Fmain\u002Fsdk\u002Fai\u002Fazure-ai-projects |\n| 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