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Agent skill
azure-ai-agents-persistent-java
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".
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SKILL.md
Azure AI Agents Persistent SDK for Java
Low-level SDK for creating and managing persistent AI agents with threads, messages, runs, and tools.
Installation
<dependency>
<groupId>com.azure</groupId>
<artifactId>azure-ai-agents-persistent</artifactId>
<version>1.0.0-beta.1</version>
</dependency>
Environment Variables
PROJECT_ENDPOINT=https://<resource>.services.ai.azure.com/api/projects/<project>
MODEL_DEPLOYMENT_NAME=gpt-4o-mini
Authentication
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
| Client | Purpose |
|---|---|
PersistentAgentsClient |
Sync client for agent operations |
PersistentAgentsAsyncClient |
Async client for agent operations |
Core Workflow
1. Create Agent
// Create agent with tools
PersistentAgent agent = client.createAgent(
modelDeploymentName,
"Math Tutor",
"You are a personal math tutor."
);
2. Create Thread
PersistentAgentThread thread = client.createThread();
3. Add Message
client.createMessage(
thread.getId(),
MessageRole.USER,
"I need help with equations."
);
4. Run Agent
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
PagedIterable<PersistentThreadMessage> messages = client.listMessages(thread.getId());
for (PersistentThreadMessage message : messages) {
System.out.println(message.getRole() + ": " + message.getContent());
}
6. Cleanup
client.deleteThread(thread.getId());
client.deleteAgent(agent.getId());
Best Practices
- Use DefaultAzureCredential for production authentication
- Poll with appropriate delays — 500ms recommended between status checks
- Clean up resources — Delete threads and agents when done
- Handle all run statuses — Check for RequiresAction, Failed, Cancelled
- Use async client for better throughput in high-concurrency scenarios
Error Handling
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
| Resource | URL |
|---|---|
| Maven Package | https://central.sonatype.com/artifact/com.azure/azure-ai-agents-persistent |
| GitHub Source | https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/ai/azure-ai-agents-persistent |
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