Azure AI Agents Persistent Java — Agent Skill by Microsoft

From the author

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".

— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Azure AI Agents Persistent SDK for Java provides a low-level interface for developers to build and manage stateful AI agents. It supports the full lifecycle of agent interactions, including agent creation, thread management, message handling, and execution runs. The SDK is designed for integration with Azure AI services, offering both synchronous and asynchronous clients to handle agent operations, tool definitions, and status polling.

What it does

Provides clients for managing persistent AI agents and their configurations.
Supports thread creation and message management for multi-turn conversations.
Enables agent execution runs with status polling and completion tracking.
Allows integration of custom tools and code interpreters into agent workflows.
Offers both synchronous and asynchronous API patterns for Java applications.
Facilitates secure authentication using Azure Identity credentials.

When to use it

When building Java applications that require stateful, persistent AI assistants.
When you need to manage complex agent-based workflows with threads and tool calls.
When integrating Azure AI agent capabilities into enterprise Java backends.
When you require granular control over agent lifecycle, including cleanup and resource management.

Advantages

Native Java support for Azure AI agent services.
Flexible configuration for agent behavior, including temperature and top-P settings.
Comprehensive support for tool definitions, including function calling and code interpretation.
Asynchronous client support for high-concurrency environments.

Usage examples

“How do I initialize the PersistentAgentsClient in Java?”: Use the PersistentAgentsClientBuilder to set your project endpoint and provide a TokenCredential, such as DefaultAzureCredential, to build the client.
“Show me how to create a new agent with a tool.”: Instantiate a CreateAgentOptions object, define your tools (e.g., CodeInterpreterToolDefinition or FunctionToolDefinition), and pass the options to the client.createAgent method.
“How do I run an agent on a specific thread?”: Use client.createRun with the thread ID and agent ID, then implement a loop to poll the run status until it is no longer QUEUED or IN_PROGRESS.
“How can I clean up agent resources?”: Call client.deleteThread(threadId) and client.deleteAgent(agentId) to remove the resources from the service.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/microsoft/azure-ai-agents-persistent-java/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip azure-ai-agents-persistent-java.zip -d .agents/skills

Documentation by Microsoft

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> # Required for project configuration
MODEL_DEPLOYMENT_NAME=gpt-4o-mini # Required for agent model selection
AZURE_TOKEN_CREDENTIALS=prod  # Required only if DefaultAzureCredential is used in production

Authentication

import com.azure.ai.agents.persistent.PersistentAgentsClient;
import com.azure.ai.agents.persistent.PersistentAgentsClientBuilder;
import com.azure.core.credential.TokenCredential;
import com.azure.identity.AzureIdentityEnvVars;
import com.azure.identity.DefaultAzureCredentialBuilder;
import com.azure.identity.ManagedIdentityCredentialBuilder;

String endpoint = System.getenv("PROJECT_ENDPOINT");
TokenCredential credential = new DefaultAzureCredentialBuilder()
    .requireEnvVars(AzureIdentityEnvVars.AZURE_TOKEN_CREDENTIALS)
    .build();
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/java/api/overview/azure/identity-readme?view=azure-java-stable#credential-classes
// TokenCredential credential = new ManagedIdentityCredentialBuilder().build();

PersistentAgentsClient client = new PersistentAgentsClientBuilder()
    .endpoint(endpoint)
    .credential(credential)
    .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

Files

ATTRIBUTION.mdAdded by AutoGineer1000 B
LICENSELicence file added by AutoGineer1.1 KiB
SKILL.md4.3 KiB
references/examples.md22.2 KiB

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Implement Spec
Matt Pocock· Community
A workflow for implementing technical specifications and tickets using concurrent subagents.
Software developmentClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository317.5k
MCP Builder
AnthropicOfficial
A comprehensive guide for building high-quality Model Context Protocol (MCP) servers to integrate external services with LLMs.
Software developmentClaude CodeClaude appsOpenAI Codex+14 more
Apache-2.0Low riskHas scriptsGitHub stars of the source repository188.6k
Schema
Corey Haines· Community
Expert guidance for implementing and optimizing JSON-LD schema markup to improve search engine content understanding.
Software developmentClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository59k
Postgresql Table Design
Seth Hobson· Community
A comprehensive guide for designing, reviewing, and optimizing PostgreSQL database schemas.
Software developmentClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository42.3k
SQL Optimization Patterns
Seth Hobson· Community
A comprehensive guide to optimizing SQL database performance through indexing, query plan analysis, and efficient coding patterns.
Software developmentClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository42.3k
API Scaffolding Fastapi Pro
Seth Hobson· Community
An expert FastAPI developer focused on high-performance, async-first API architecture and production-ready microservices.
Software developmentClaude Code
MITGitHub stars of the source repository42.3k

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download azure-ai-agents-persistent-java.zip