From azure-sdk-java
Manages Azure AI Foundry projects in Java via SDK clients for connections, datasets, indexes, evaluations, deployments, and schedules.
npx claudepluginhub microsoft/skills --plugin azure-sdk-javaThis skill uses the workspace's default tool permissions.
High-level SDK for Azure AI Foundry project management with access to connections, datasets, indexes, and evaluations.
Manages Azure AI Foundry projects using Java SDK for connections, datasets, indexes, evaluations, deployments, and schedules. Useful for AI project operations.
Build and manage Azure AI Foundry projects using @azure/ai-projects JavaScript SDK: agents with tools, connections, deployments, datasets, indexes, evaluations, OpenAI clients.
Build AI apps on Azure Foundry using azure-ai-projects Python SDK: create/manage agents with tools, run evaluations, handle connections/deployments/datasets/indexes; OpenAI-compatible clients.
Share bugs, ideas, or general feedback.
High-level SDK for Azure AI Foundry project management with access to connections, datasets, indexes, and evaluations.
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-projects</artifactId>
<version>1.0.0-beta.1</version>
</dependency>
PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project>
import com.azure.ai.projects.AIProjectClientBuilder;
import com.azure.identity.DefaultAzureCredentialBuilder;
AIProjectClientBuilder builder = new AIProjectClientBuilder()
.endpoint(System.getenv("PROJECT_ENDPOINT"))
.credential(new DefaultAzureCredentialBuilder().build());
The SDK provides multiple sub-clients for different operations:
| Client | Purpose |
|---|---|
ConnectionsClient | Enumerate connected Azure resources |
DatasetsClient | Upload documents and manage datasets |
DeploymentsClient | Enumerate AI model deployments |
IndexesClient | Create and manage search indexes |
EvaluationsClient | Run AI model evaluations |
EvaluatorsClient | Manage evaluator configurations |
SchedulesClient | Manage scheduled operations |
// Build sub-clients from builder
ConnectionsClient connectionsClient = builder.buildConnectionsClient();
DatasetsClient datasetsClient = builder.buildDatasetsClient();
DeploymentsClient deploymentsClient = builder.buildDeploymentsClient();
IndexesClient indexesClient = builder.buildIndexesClient();
EvaluationsClient evaluationsClient = builder.buildEvaluationsClient();
import com.azure.ai.projects.models.Connection;
import com.azure.core.http.rest.PagedIterable;
PagedIterable<Connection> connections = connectionsClient.listConnections();
for (Connection connection : connections) {
System.out.println("Name: " + connection.getName());
System.out.println("Type: " + connection.getType());
System.out.println("Credential Type: " + connection.getCredentials().getType());
}
indexesClient.listLatest().forEach(index -> {
System.out.println("Index name: " + index.getName());
System.out.println("Version: " + index.getVersion());
System.out.println("Description: " + index.getDescription());
});
import com.azure.ai.projects.models.AzureAISearchIndex;
import com.azure.ai.projects.models.Index;
String indexName = "my-index";
String indexVersion = "1.0";
String searchConnectionName = System.getenv("AI_SEARCH_CONNECTION_NAME");
String searchIndexName = System.getenv("AI_SEARCH_INDEX_NAME");
Index index = indexesClient.createOrUpdate(
indexName,
indexVersion,
new AzureAISearchIndex()
.setConnectionName(searchConnectionName)
.setIndexName(searchIndexName)
);
System.out.println("Created index: " + index.getName());
The SDK exposes OpenAI's official SDK for evaluations:
import com.openai.services.EvalService;
EvalService evalService = evaluationsClient.getOpenAIClient();
// Use OpenAI evaluation APIs directly
PagedIterableimport com.azure.core.exception.HttpResponseException;
import com.azure.core.exception.ResourceNotFoundException;
try {
Index index = indexesClient.get(indexName, version);
} catch (ResourceNotFoundException e) {
System.err.println("Index not found: " + indexName);
} catch (HttpResponseException e) {
System.err.println("Error: " + e.getResponse().getStatusCode());
}