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Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered features with minimal boilerplate code in Java applications.
npx skill4agent add giuseppe-trisciuoglio/developer-kit langchain4j-ai-services-patternsinterface Assistant {
String chat(String userMessage);
}
// Create instance - LangChain4j generates implementation
Assistant assistant = AiServices.create(Assistant.class, chatModel);
// Use the service
String response = assistant.chat("Hello, how are you?");interface CustomerSupportBot {
@SystemMessage("You are a helpful customer support agent for TechCorp")
String handleInquiry(String customerMessage);
@UserMessage("Analyze sentiment: {{it}}")
String analyzeSentiment(String feedback);
}
CustomerSupportBot bot = AiServices.create(CustomerSupportBot.class, chatModel);interface MultiUserAssistant {
String chat(@MemoryId String userId, String userMessage);
}
Assistant assistant = AiServices.builder(MultiUserAssistant.class)
.chatModel(model)
.chatMemoryProvider(userId -> MessageWindowChatMemory.withMaxMessages(10))
.build();class Calculator {
@Tool("Add two numbers") double add(double a, double b) { return a + b; }
}
interface MathGenius {
String ask(String question);
}
MathGenius mathGenius = AiServices.builder(MathGenius.class)
.chatModel(model)
.tools(new Calculator())
.build();<!-- Maven -->
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j</artifactId>
<version>1.8.0</version>
</dependency>
<dependency>
<groupId>dev.langchain4j</groupId>
<artifactId>langchain4j-open-ai</artifactId>
<version>1.8.0</version>
</dependency>// Gradle
implementation 'dev.langchain4j:langchain4j:1.8.0'
implementation 'dev.langchain4j:langchain4j-open-ai:1.8.0'