[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M69AVFJTK0B5RKQJG3RN5GR9":3,"skill-same:01M69AVFJTK0B5RKQJG3RN5GR9":138},{"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":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":57,"ownerHtmlUrl":58,"ownerBlogUrl":59,"ownerDescription":60,"updatedAt":61,"install":62,"resources":75},"01M69AVFJTK0B5RKQJG3RN5GR9","azure-ai-projects-ts",null,"Build AI applications using Azure AI Projects SDK for JavaScript (@azure\u002Fai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.","microsoft\u002Fskills","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M69AJYYW4E1RMSYCQDJ4FJSH",3202,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills\u002Fblob\u002Fmain\u002F.github\u002Fplugins\u002Fazure-sdk-typescript\u002Fskills\u002Fazure-ai-projects-ts\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,9,43],"azure ai","azure","azure ai projects ts","azure ai projects","projects","use","when","for","with","clients","project","connections","build","indexes","datasets","deployments","sdk","applications","foundry","javascript","2026-11-10 10:12:30",false,"---\nname: azure-ai-projects-ts\ndescription: Build AI applications using Azure AI Projects SDK for JavaScript (@azure\u002Fai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.0\"\n  package: '@azure\u002Fai-projects'\n---\n\n# Azure AI Projects SDK for TypeScript\n\nHigh-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.\n\n## Installation\n\n```bash\nnpm install @azure\u002Fai-projects @azure\u002Fidentity\n```\n\nFor tracing:\n```bash\nnpm install @azure\u002Fmonitor-opentelemetry @opentelemetry\u002Fapi\n```\n\n## Environment Variables\n\n```bash\nAZURE_AI_PROJECT_ENDPOINT=https:\u002F\u002F\u003Cresource>.services.ai.azure.com\u002Fapi\u002Fprojects\u002F\u003Cproject>\nMODEL_DEPLOYMENT_NAME=gpt-4o\nAZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production\n```\n\n## Authentication\n\n```typescript\nimport { AIProjectClient } from \"@azure\u002Fai-projects\";\nimport { DefaultAzureCredential, ManagedIdentityCredential } from \"@azure\u002Fidentity\";\n\n\u002F\u002F Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>\nconst credential = new DefaultAzureCredential({requiredEnvVars: [\"AZURE_TOKEN_CREDENTIALS\"]});\n\u002F\u002F Or use a specific credential directly in production:\n\u002F\u002F See https:\u002F\u002Flearn.microsoft.com\u002Fjavascript\u002Fapi\u002Foverview\u002Fazure\u002Fidentity-readme?view=azure-node-latest#credential-classes\n\u002F\u002F const credential = new ManagedIdentityCredential();\n\nconst client = new AIProjectClient(\n  process.env.AZURE_AI_PROJECT_ENDPOINT!,\n  credential\n);\n```\n\n## Operation Groups\n\n| Group | Purpose |\n|-------|---------|\n| `client.agents` | Create and manage AI agents |\n| `client.connections` | List connected Azure resources |\n| `client.deployments` | List model deployments |\n| `client.datasets` | Upload and manage datasets |\n| `client.indexes` | Create and manage search indexes |\n| `client.evaluators` | Manage evaluation metrics |\n| `client.memoryStores` | Manage agent memory |\n\n## Getting OpenAI Client\n\n```typescript\nconst openAIClient = await client.getOpenAIClient();\n\n\u002F\u002F Use for responses\nconst response = await openAIClient.responses.create({\n  model: \"gpt-4o\",\n  input: \"What is the capital of France?\"\n});\n\n\u002F\u002F Use for conversations\nconst conversation = await openAIClient.conversations.create({\n  items: [{ type: \"message\", role: \"user\", content: \"Hello!\" }]\n});\n```\n\n## Agents\n\n### Create Agent\n\n```typescript\nconst agent = await client.agents.createVersion(\"my-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  instructions: \"You are a helpful assistant.\"\n});\n```\n\n### Agent with Tools\n\n```typescript\n\u002F\u002F Code Interpreter\nconst agent = await client.agents.createVersion(\"code-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  instructions: \"You can execute code.\",\n  tools: [{ type: \"code_interpreter\", container: { type: \"auto\" } }]\n});\n\n\u002F\u002F File Search\nconst agent = await client.agents.createVersion(\"search-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{ type: \"file_search\", vector_store_ids: [vectorStoreId] }]\n});\n\n\u002F\u002F Web Search\nconst agent = await client.agents.createVersion(\"web-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{\n    type: \"web_search_preview\",\n    user_location: { type: \"approximate\", country: \"US\", city: \"Seattle\" }\n  }]\n});\n\n\u002F\u002F Azure AI Search\nconst agent = await client.agents.createVersion(\"aisearch-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{\n    type: \"azure_ai_search\",\n    azure_ai_search: {\n      indexes: [{\n        project_connection_id: connectionId,\n        index_name: \"my-index\",\n        query_type: \"simple\"\n      }]\n    }\n  }]\n});\n\n\u002F\u002F Function Tool\nconst agent = await client.agents.createVersion(\"func-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{\n    type: \"function\",\n    function: {\n      name: \"get_weather\",\n      description: \"Get weather for a location\",\n      strict: true,\n      parameters: {\n        type: \"object\",\n        properties: { location: { type: \"string\" } },\n        required: [\"location\"]\n      }\n    }\n  }]\n});\n\n\u002F\u002F MCP Tool\nconst agent = await client.agents.createVersion(\"mcp-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{\n    type: \"mcp\",\n    server_label: \"my-mcp\",\n    server_url: \"https:\u002F\u002Fmcp-server.example.com\",\n    require_approval: \"always\"\n  }]\n});\n```\n\n### Run Agent\n\n```typescript\nconst openAIClient = await client.getOpenAIClient();\n\n\u002F\u002F Create conversation\nconst conversation = await openAIClient.conversations.create({\n  items: [{ type: \"message\", role: \"user\", content: \"Hello!\" }]\n});\n\n\u002F\u002F Generate response using agent\nconst response = await openAIClient.responses.create(\n  { conversation: conversation.id },\n  { body: { agent: { name: agent.name, type: \"agent_reference\" } } }\n);\n\n\u002F\u002F Cleanup\nawait openAIClient.conversations.delete(conversation.id);\nawait client.agents.deleteVersion(agent.name, agent.version);\n```\n\n## Connections\n\n```typescript\n\u002F\u002F List all connections\nfor await (const conn of client.connections.list()) {\n  console.log(conn.name, conn.type);\n}\n\n\u002F\u002F Get connection by name\nconst conn = await client.connections.get(\"my-connection\");\n\n\u002F\u002F Get connection with credentials\nconst connWithCreds = await client.connections.getWithCredentials(\"my-connection\");\n\n\u002F\u002F Get default connection by type\nconst defaultAzureOpenAI = await client.connections.getDefault(\"AzureOpenAI\", true);\n```\n\n## Deployments\n\n```typescript\n\u002F\u002F List all deployments\nfor await (const deployment of client.deployments.list()) {\n  if (deployment.type === \"ModelDeployment\") {\n    console.log(deployment.name, deployment.modelName);\n  }\n}\n\n\u002F\u002F Filter by publisher\nfor await (const d of client.deployments.list({ modelPublisher: \"OpenAI\" })) {\n  console.log(d.name);\n}\n\n\u002F\u002F Get specific deployment\nconst deployment = await client.deployments.get(\"gpt-4o\");\n```\n\n## Datasets\n\n```typescript\n\u002F\u002F Upload single file\nconst dataset = await client.datasets.uploadFile(\n  \"my-dataset\",\n  \"1.0\",\n  \".\u002Fdata\u002Ftraining.jsonl\"\n);\n\n\u002F\u002F Upload folder\nconst dataset = await client.datasets.uploadFolder(\n  \"my-dataset\",\n  \"2.0\",\n  \".\u002Fdata\u002Fdocuments\u002F\"\n);\n\n\u002F\u002F Get dataset\nconst ds = await client.datasets.get(\"my-dataset\", \"1.0\");\n\n\u002F\u002F List versions\nfor await (const version of client.datasets.listVersions(\"my-dataset\")) {\n  console.log(version);\n}\n\n\u002F\u002F Delete\nawait client.datasets.delete(\"my-dataset\", \"1.0\");\n```\n\n## Indexes\n\n```typescript\nimport { AzureAISearchIndex } from \"@azure\u002Fai-projects\";\n\nconst indexConfig: AzureAISearchIndex = {\n  name: \"my-index\",\n  type: \"AzureSearch\",\n  version: \"1\",\n  indexName: \"my-index\",\n  connectionName: \"search-connection\"\n};\n\n\u002F\u002F Create index\nconst index = await client.indexes.createOrUpdate(\"my-index\", \"1\", indexConfig);\n\n\u002F\u002F List indexes\nfor await (const idx of client.indexes.list()) {\n  console.log(idx.name);\n}\n\n\u002F\u002F Delete\nawait client.indexes.delete(\"my-index\", \"1\");\n```\n\n## Key Types\n\n```typescript\nimport {\n  AIProjectClient,\n  AIProjectClientOptionalParams,\n  Connection,\n  ModelDeployment,\n  DatasetVersionUnion,\n  AzureAISearchIndex\n} from \"@azure\u002Fai-projects\";\n```\n\n## Best Practices\n\n1. **Use getOpenAIClient()** - For responses, conversations, files, and vector stores\n2. **Version your agents** - Use `createVersion` for reproducible agent definitions\n3. **Clean up resources** - Delete agents, conversations when done\n4. **Use connections** - Get credentials from project connections, don't hardcode\n5. **Filter deployments** - Use `modelPublisher` filter to find specific models\n","# Azure AI Projects SDK for TypeScript\n\nHigh-level SDK for Azure AI Foundry projects with agents, connections, deployments, and evaluations.\n\n## Installation\n\n```bash\nnpm install @azure\u002Fai-projects @azure\u002Fidentity\n```\n\nFor tracing:\n```bash\nnpm install @azure\u002Fmonitor-opentelemetry @opentelemetry\u002Fapi\n```\n\n## Environment Variables\n\n```bash\nAZURE_AI_PROJECT_ENDPOINT=https:\u002F\u002F\u003Cresource>.services.ai.azure.com\u002Fapi\u002Fprojects\u002F\u003Cproject>\nMODEL_DEPLOYMENT_NAME=gpt-4o\nAZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production\n```\n\n## Authentication\n\n```typescript\nimport { AIProjectClient } from \"@azure\u002Fai-projects\";\nimport { DefaultAzureCredential, ManagedIdentityCredential } from \"@azure\u002Fidentity\";\n\n\u002F\u002F Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=\u003Cspecific_credential>\nconst credential = new DefaultAzureCredential({requiredEnvVars: [\"AZURE_TOKEN_CREDENTIALS\"]});\n\u002F\u002F Or use a specific credential directly in production:\n\u002F\u002F See https:\u002F\u002Flearn.microsoft.com\u002Fjavascript\u002Fapi\u002Foverview\u002Fazure\u002Fidentity-readme?view=azure-node-latest#credential-classes\n\u002F\u002F const credential = new ManagedIdentityCredential();\n\nconst client = new AIProjectClient(\n  process.env.AZURE_AI_PROJECT_ENDPOINT!,\n  credential\n);\n```\n\n## Operation Groups\n\n| Group | Purpose |\n|-------|---------|\n| `client.agents` | Create and manage AI agents |\n| `client.connections` | List connected Azure resources |\n| `client.deployments` | List model deployments |\n| `client.datasets` | Upload and manage datasets |\n| `client.indexes` | Create and manage search indexes |\n| `client.evaluators` | Manage evaluation metrics |\n| `client.memoryStores` | Manage agent memory |\n\n## Getting OpenAI Client\n\n```typescript\nconst openAIClient = await client.getOpenAIClient();\n\n\u002F\u002F Use for responses\nconst response = await openAIClient.responses.create({\n  model: \"gpt-4o\",\n  input: \"What is the capital of France?\"\n});\n\n\u002F\u002F Use for conversations\nconst conversation = await openAIClient.conversations.create({\n  items: [{ type: \"message\", role: \"user\", content: \"Hello!\" }]\n});\n```\n\n## Agents\n\n### Create Agent\n\n```typescript\nconst agent = await client.agents.createVersion(\"my-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  instructions: \"You are a helpful assistant.\"\n});\n```\n\n### Agent with Tools\n\n```typescript\n\u002F\u002F Code Interpreter\nconst agent = await client.agents.createVersion(\"code-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  instructions: \"You can execute code.\",\n  tools: [{ type: \"code_interpreter\", container: { type: \"auto\" } }]\n});\n\n\u002F\u002F File Search\nconst agent = await client.agents.createVersion(\"search-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{ type: \"file_search\", vector_store_ids: [vectorStoreId] }]\n});\n\n\u002F\u002F Web Search\nconst agent = await client.agents.createVersion(\"web-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{\n    type: \"web_search_preview\",\n    user_location: { type: \"approximate\", country: \"US\", city: \"Seattle\" }\n  }]\n});\n\n\u002F\u002F Azure AI Search\nconst agent = await client.agents.createVersion(\"aisearch-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{\n    type: \"azure_ai_search\",\n    azure_ai_search: {\n      indexes: [{\n        project_connection_id: connectionId,\n        index_name: \"my-index\",\n        query_type: \"simple\"\n      }]\n    }\n  }]\n});\n\n\u002F\u002F Function Tool\nconst agent = await client.agents.createVersion(\"func-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{\n    type: \"function\",\n    function: {\n      name: \"get_weather\",\n      description: \"Get weather for a location\",\n      strict: true,\n      parameters: {\n        type: \"object\",\n        properties: { location: { type: \"string\" } },\n        required: [\"location\"]\n      }\n    }\n  }]\n});\n\n\u002F\u002F MCP Tool\nconst agent = await client.agents.createVersion(\"mcp-agent\", {\n  kind: \"prompt\",\n  model: \"gpt-4o\",\n  tools: [{\n    type: \"mcp\",\n    server_label: \"my-mcp\",\n    server_url: \"https:\u002F\u002Fmcp-server.example.com\",\n    require_approval: \"always\"\n  }]\n});\n```\n\n### Run Agent\n\n```typescript\nconst openAIClient = await client.getOpenAIClient();\n\n\u002F\u002F Create conversation\nconst conversation = await openAIClient.conversations.create({\n  items: [{ type: \"message\", role: \"user\", content: \"Hello!\" }]\n});\n\n\u002F\u002F Generate response using agent\nconst response = await openAIClient.responses.create(\n  { conversation: conversation.id },\n  { body: { agent: { name: agent.name, type: \"agent_reference\" } } }\n);\n\n\u002F\u002F Cleanup\nawait openAIClient.conversations.delete(conversation.id);\nawait client.agents.deleteVersion(agent.name, agent.version);\n```\n\n## Connections\n\n```typescript\n\u002F\u002F List all connections\nfor await (const conn of client.connections.list()) {\n  console.log(conn.name, conn.type);\n}\n\n\u002F\u002F Get connection by name\nconst conn = await client.connections.get(\"my-connection\");\n\n\u002F\u002F Get connection with credentials\nconst connWithCreds = await client.connections.getWithCredentials(\"my-connection\");\n\n\u002F\u002F Get default connection by type\nconst defaultAzureOpenAI = await client.connections.getDefault(\"AzureOpenAI\", true);\n```\n\n## Deployments\n\n```typescript\n\u002F\u002F List all deployments\nfor await (const deployment of client.deployments.list()) {\n  if (deployment.type === \"ModelDeployment\") {\n    console.log(deployment.name, deployment.modelName);\n  }\n}\n\n\u002F\u002F Filter by publisher\nfor await (const d of client.deployments.list({ modelPublisher: \"OpenAI\" })) {\n  console.log(d.name);\n}\n\n\u002F\u002F Get specific deployment\nconst deployment = await client.deployments.get(\"gpt-4o\");\n```\n\n## Datasets\n\n```typescript\n\u002F\u002F Upload single file\nconst dataset = await client.datasets.uploadFile(\n  \"my-dataset\",\n  \"1.0\",\n  \".\u002Fdata\u002Ftraining.jsonl\"\n);\n\n\u002F\u002F Upload folder\nconst dataset = await client.datasets.uploadFolder(\n  \"my-dataset\",\n  \"2.0\",\n  \".\u002Fdata\u002Fdocuments\u002F\"\n);\n\n\u002F\u002F Get dataset\nconst ds = await client.datasets.get(\"my-dataset\", \"1.0\");\n\n\u002F\u002F List versions\nfor await (const version of client.datasets.listVersions(\"my-dataset\")) {\n  console.log(version);\n}\n\n\u002F\u002F Delete\nawait client.datasets.delete(\"my-dataset\", \"1.0\");\n```\n\n## Indexes\n\n```typescript\nimport { AzureAISearchIndex } from \"@azure\u002Fai-projects\";\n\nconst indexConfig: AzureAISearchIndex = {\n  name: \"my-index\",\n  type: \"AzureSearch\",\n  version: \"1\",\n  indexName: \"my-index\",\n  connectionName: \"search-connection\"\n};\n\n\u002F\u002F Create index\nconst index = await client.indexes.createOrUpdate(\"my-index\", \"1\", indexConfig);\n\n\u002F\u002F List indexes\nfor await (const idx of client.indexes.list()) {\n  console.log(idx.name);\n}\n\n\u002F\u002F Delete\nawait client.indexes.delete(\"my-index\", \"1\");\n```\n\n## Key Types\n\n```typescript\nimport {\n  AIProjectClient,\n  AIProjectClientOptionalParams,\n  Connection,\n  ModelDeployment,\n  DatasetVersionUnion,\n  AzureAISearchIndex\n} from \"@azure\u002Fai-projects\";\n```\n\n## Best Practices\n\n1. **Use getOpenAIClient()** - For responses, conversations, files, and vector stores\n2. **Version your agents** - Use `createVersion` for reproducible agent definitions\n3. **Clean up resources** - Delete agents, conversations when done\n4. **Use connections** - Get credentials from project connections, don't hardcode\n5. **Filter deployments** - Use `modelPublisher` filter to find specific models\n",{"name":5,"license":15,"metadata":49,"description":7},{"author":12,"package":50,"version":51},"@azure\u002Fai-projects","1.0.0","main","3f5b461b2314e01c400564051e92469114c5b68f",".github\u002Fplugins\u002Fazure-sdk-typescript\u002Fskills\u002Fazure-ai-projects-ts",368,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","https:\u002F\u002Fmicrosoft.github.io\u002Fskills\u002F","https:\u002F\u002Fgithub.com\u002Fmicrosoft","https:\u002F\u002Fopensource.microsoft.com","Open source projects and samples from Microsoft","2026-11-14 02:08:41",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add microsoft\u002Fskills --skill 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