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.
Best use case
azure-ai-agents-persistent-java is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
Teams using azure-ai-agents-persistent-java should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-ai-agents-persistent-java/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-ai-agents-persistent-java Compares
| Feature / Agent | azure-ai-agents-persistent-java | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
| Client | Purpose |
|--------|---------|
| `PersistentAgentsClient` | Sync client for agent operations |
| `PersistentAgentsAsyncClient` | Async 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
| 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 |
## When to Use
This skill is applicable to execute the workflow or actions described in the overview.Related Skills
create-spring-boot-java-project
Create Spring Boot Java Project Skeleton
azure-speech-to-text-rest-py
Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.
azure-mgmt-apimanagement-py
Azure API Management SDK for Python. Use for managing APIM services, APIs, products, subscriptions, and policies.
azure-mgmt-apimanagement-dotnet
Azure Resource Manager SDK for API Management in .NET.
azure-mgmt-apicenter-py
Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization.
azure-mgmt-apicenter-dotnet
Azure API Center SDK for .NET. Centralized API inventory management with governance, versioning, and discovery.
azure-communication-callingserver-java
Azure Communication Services CallingServer (legacy) Java SDK. Note - This SDK is deprecated. Use azure-communication-callautomation instead for new projects. Only use this skill when maintaining le...
n8n-code-javascript
Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with $helpers, working with dates using DateTime, troubleshooting Code node errors, or choosing between Code node modes.
modern-javascript-patterns
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, effici...
javascript-testing-patterns
Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use...
voice-agents
Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flo...
parallel-agents
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.