azure-ai-agents-persistent-java
microsoft/skills
Crie e gerencie agentes de IA persistentes com threads, mensagens, execuções e ferramentas usando o SDK do Azure para Java.
...Expandir tudoSDK persistente do Azure AI Agents para Java
SDK de baixo nível para criar e gerenciar agentes de IA persistentes com threads, mensagens, execuções e ferramentas.
Instalação
com.azure
azure-ai-agents-persistent
1.0.0-beta.1
Variáveis de ambiente
PROJECT_ENDPOINT=https://.services.ai.azure.com/api/projects/ # Necessário para a configuração do projeto
MODEL_DEPLOYMENT_NAME=gpt-4o-mini # Necessário para a seleção do modelo do agente
AZURE_TOKEN_CREDENTIALS=prod # Necessário apenas se DefaultAzureCredential for usado em produção
Autenticação
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();
// Ou use uma credencial específica diretamente em produção:
// Consulte 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();
Conceitos-chave
O SDK Persistente do Azure AI Agents fornece uma API de baixo nível para gerenciar agentes persistentes que podem ser reutilizados entre sessões.
Hierarquia do cliente
| Cliente | Finalidade |
|---|---|
PersistentAgentsClient |
Cliente de sincronização para operações de agente |
PersistentAgentsAsyncClient |
Cliente assíncrono para operações do agente |
Fluxo de trabalho principal
1. Criar agente
// Criar agente com ferramentas
PersistentAgent agent = client.createAgent(
modelDeploymentName,
"Professor de Matemática",
"Você é um professor particular de matemática."
);
2. Criar thread
PersistentAgentThread thread = client.createThread();
3. Adicionar mensagem
client.createMessage(
thread.getId(),
MessageRole.USER,
"Preciso de ajuda com equações."
);
4. Executar o agente
ThreadRun run = client.createRun(thread.getId(), agent.getId());
// Verificar se a execução foi concluída
while (run.getStatus() == RunStatus.QUEUED || run.getStatus() == RunStatus.IN_PROGRESS) {
Thread.sleep(500);
run = client.getRun(thread.getId(), run.getId());
}
5. Obter resposta
PagedIterable messages = client.listMessages(thread.getId());
for (PersistentThreadMessage message : messages) {
System.out.println(message.getRole() + ": " + message.getContent());
}
6. Limpeza
client.deleteThread(thread.getId());
client.deleteAgent(agent.getId());
Práticas recomendadas
- Use DefaultAzureCredential para autenticação em produção
- Faça a sondagem com intervalos adequados — recomenda-se 500 ms entre as verificações de status
- Limpe os recursos — exclua threads e agentes ao concluir
- Lide com todos os status de execução — verifique se há “RequiresAction”, “Failed” ou “Cancelled”
- Use o cliente assíncrono para obter melhor rendimento em cenários de alta simultaneidade
Tratamento de erros
import com.azure.core.exception.HttpResponseException;
try {
PersistentAgent agent = client.createAgent(modelName, name, instructions);
} catch (HttpResponseException e) {
System.err.println("Erro: " + e.getResponse().getStatusCode() + " - " + e.getMessage());
}
Links de referência
| Recurso | URL |
|---|---|
| Pacote Maven | https://central.sonatype.com/artifact/com.azure/azure-ai-agents-persistent |
| Código-fonte no GitHub | 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 |
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