popey/claude-code-skills/azure-ai-agents-persistent-java

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Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.

Install

npx vskill@latest install popey/claude-code-skills/azure-ai-agents-persistent-java

SKILL.md

The same SKILL.md was published earlier as hbui290/agentic-skill-library/azure-ai-agents-persistent-java.

Azure AI Agents Persistent SDK for Java

Low-level SDK for creating and managing persistent AI agents with threads, messages, runs, and tools.

Installation

xml
<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-ai-agents-persistent</artifactId>
    <version>1.0.0-beta.1</version>
</dependency>

Environment Variables

bash
PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project>
MODEL_DEPLOYMENT_NAME=gpt-4o-mini

Authentication

java
import com.azure.ai.agents.persistent.PersistentAgentsClient;
import com.azure.ai.agents.persistent.PersistentAgentsClientBuilder;
import com.azure.identity.DefaultAzureCredentialBuilder;
 
String endpoint = System.getenv("PROJECT_ENDPOINT");
PersistentAgentsClient client = new PersistentAgentsClientBuilder()
    .endpoint(endpoint)
    .credential(new DefaultAzureCredentialBuilder().build())
    .buildClient();

Key Concepts

The Azure AI Agents Persistent SDK provides a low-level API for managing persistent agents that can be reused across sessions.

Client Hierarchy
ClientPurpose
PersistentAgentsClientSync client for agent operations
PersistentAgentsAsyncClientAsync client for agent operations

Core Workflow

1. Create Agent
java
// Create agent with tools
PersistentAgent agent = client.createAgent(
    modelDeploymentName,
    "Math Tutor",
    "You are a personal math tutor."
);
2. Create Thread
java
PersistentAgentThread thread = client.createThread();
3. Add Message
java
client.createMessage(
    thread.getId(),
    MessageRole.USER,
    "I need help with equations."
);
4. Run Agent
java
ThreadRun run = client.createRun(thread.getId(), agent.getId());
 
// Poll for completion
while (run.getStatus() == RunStatus.QUEUED || run.getStatus() == RunStatus.IN_PROGRESS) {
    Thread.sleep(500);
    run = client.getRun(thread.getId(), run.getId());
}
5. Get Response
java
PagedIterable<PersistentThreadMessage> messages = client.listMessages(thread.getId());
for (PersistentThreadMessage message : messages) {
    System.out.println(message.getRole() + ": " + message.getContent());
}
6. Cleanup
java
client.deleteThread(thread.getId());
client.deleteAgent(agent.getId());

Best Practices

  1. Use DefaultAzureCredential for production authentication
  2. Poll with appropriate delays — 500ms recommended between status checks
  3. Clean up resources — Delete threads and agents when done
  4. Handle all run statuses — Check for RequiresAction, Failed, Cancelled
  5. Use async client for better throughput in high-concurrency scenarios

Error Handling

java
import com.azure.core.exception.HttpResponseException;
 
try {
    PersistentAgent agent = client.createAgent(modelName, name, instructions);
} catch (HttpResponseException e) {
    System.err.println("Error: " + e.getResponse().getStatusCode() + " - " + e.getMessage());
}

Reference Links

ResourceURL
Maven Packagehttps://central.sonatype.com/artifact/com.azure/azure-ai-agents-persistent
GitHub Sourcehttps://github.com/Azure/azure-sdk-for-java/tree/main/sdk/ai/azure-ai-agents-persistent

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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  • Model reviewPassed

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