azure-ai-agents-persistent-java
microsoft/skills
使用 Azure Java SDK,通过线程、消息、运行和工具来创建和管理持久化 AI 代理。
...展开全部Azure AI Agents 面向 Java 的持久化 SDK
用于创建和管理持久化 AI 代理的低级 SDK,支持线程、消息、运行和工具。
安装
com.azure
azure-ai-agents-persistent
1.0.0-beta.1
环境变量
PROJECT_ENDPOINT=https://.services.ai.azure.com/api/projects/ # 项目配置必填
MODEL_DEPLOYMENT_NAME=gpt-4o-mini # 代理模型选择必填
AZURE_TOKEN_CREDENTIALS=prod # 仅当在生产环境中使用 DefaultAzureCredential 时才需要
身份验证
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();
// 或者在生产环境中直接使用特定的凭据:
// 请参阅 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();
关键概念
Azure AI Agents 持久化 SDK 提供了一个低级 API,用于管理可在不同会话中重复使用的持久化代理。
客户端层次结构
| 客户端 | 用途 |
|---|---|
PersistentAgentsClient |
用于代理操作的同步客户端 |
PersistentAgentsAsyncClient |
用于代理操作的异步客户端 |
核心工作流
1. 创建代理
// 使用工具创建代理
PersistentAgent agent = client.createAgent(
modelDeploymentName,
"数学家教",
"您是一名私人数学家教。"
);
2. 创建线程
PersistentAgentThread 线程 = 客户端.createThread();
3. 添加消息
client.createMessage(
thread.getId(),
MessageRole.USER,
"我需要帮助解方程。"
);
4. 运行代理
ThreadRun run = client.createRun(thread.getId(), agent.getId());
// 轮询是否完成
while (run.getStatus() == RunStatus.QUEUED || run.getStatus() == RunStatus.IN_PROGRESS) {
Thread.sleep(500);
run = client.getRun(thread.getId(), run.getId());
}
5. 获取响应
PagedIterable messages = client.listMessages(thread.getId());
for (PersistentThreadMessage message : messages) {
System.out.println(message.getRole() + ": " + message.getContent());
}
6. 清理
client.deleteThread(thread.getId());
client.deleteAgent(agent.getId());
最佳实践
- 在生产环境中使用 DefaultAzureCredential进行身份验证
- 以适当的延迟进行轮询— 建议状态检查间隔为 500 毫秒
- 清理资源—任务完成后删除线程和代理
- 处理所有运行状态— 检查是否为“RequiresAction”、“Failed”或“Cancelled”
- 在高并发场景下使用异步客户端以获得更高的吞吐量
错误处理
import com.azure.core.exception.HttpResponseException;
try {
PersistentAgent agent = client.createAgent(modelName, name, instructions);
} catch (HttpResponseException e) {
System.err.println("错误:" + e.getResponse().getStatusCode() + " - " + e.getMessage());
}
参考链接
| 资源 | URL |
|---|---|
| Maven 包 | https://central.sonatype.com/artifact/com.azure/azure-ai-agents-persistent |
| GitHub 源代码 | https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/ai/azure-ai-agents-persistent |
---
name: azure-ai-agents-persistent-java
description: Create and manage persistent AI agents with threads, messages, runs, and tools using the Azure SDK for Java.
license: MIT
---
# 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> # 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
```java
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
```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 |
所有文件
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