using pojo instead of String as response

README.md

@@ -1,2 +1,3 @@
 # ai-playground
-ai playground. Initially will be copied examples, once matured can see real time examples
+
+Initially will be copied and modified examples, once matured can see real time examples

llm-rag-with-langchain4j-spring-boot/src/main/java/com/learning/ai/LLMRagWithSpringBoot.java

@@ -1,7 +1,6 @@
 package com.learning.ai;
 
 import com.learning.ai.config.AICustomerSupportAgent;
-import java.util.Map;
 import org.springframework.boot.ApplicationRunner;
 import org.springframework.boot.SpringApplication;
 import org.springframework.boot.autoconfigure.SpringBootApplication;
@@ -19,7 +18,7 @@ ApplicationRunner interactiveChatRunner(AICustomerSupportAgent agent) {
         return args -> {
             var response =
                     agent.chat("what should I know about the transition to consumer direct care network washington?");
-            System.out.println(Map.of("response", response));
+            System.out.println(response);
         };
     }
 }

llm-rag-with-langchain4j-spring-boot/src/main/java/com/learning/ai/config/AICustomerSupportAgent.java

@@ -1,5 +1,6 @@
 package com.learning.ai.config;
 
+import com.learning.ai.domain.AICustomerSupportResponse;
 import dev.langchain4j.service.SystemMessage;
 import dev.langchain4j.service.V;
 
@@ -20,5 +21,5 @@ public interface AICustomerSupportAgent {
              {documents}
              """
     })
-    String chat(@V("documents") String documents);
+    AICustomerSupportResponse chat(@V("documents") String documents);
 }

llm-rag-with-langchain4j-spring-boot/src/main/java/com/learning/ai/domain/AICustomerSupportResponse.java

@@ -0,0 +1,3 @@
+package com.learning.ai.domain;
+
+public record AICustomerSupportResponse(String response) {}

llm-rag-with-langchain4j-spring-boot/src/main/resources/application.properties

@@ -2,15 +2,14 @@ langchain4j.open-ai.chat-model.api-key=demo
 langchain4j.open-ai.chat-model.model-name=gpt-3.5-turbo
 langchain4j.open-ai.chat-model.temperature=0.0
 langchain4j.open-ai.chat-model.timeout=PT60S
-langchain4j.open-ai.chat-model.log-requests=false
-langchain4j.open-ai.chat-model.log-responses=false
+langchain4j.open-ai.chat-model.log-requests=true
+langchain4j.open-ai.chat-model.log-responses=true
 
-logging.level.dev.langchain4j=DEBUG
-logging.level.dev.ai4j.openai4j=DEBUG
+logging.level.dev.langchain4j=INFO
+logging.level.dev.ai4j.openai4j=INFO
 
 spring.threads.virtual.enabled=true
 
 spring.datasource.password=postgres
 spring.datasource.username=postgres
 spring.datasource.url=jdbc:postgresql://localhost/vector_store
-