Fixed as par some more review comments.

CHANDRAKANT Kumar · CHANDRAKANT Kumar · commit 2b22ffc5eae5 · 2023-10-29T23:23:54.000+05:30
diff --git a/libraries-llms/README.md b/libraries-llms/README.md
diff --git a/libraries-llms/src/test/java/com/baeldung/langchain/ChainWithDocumentLiveTest.java b/libraries-llms/src/test/java/com/baeldung/langchain/ChainWithDocumentLiveTest.java
@@ -31,7 +31,6 @@ public class ChainWithDocumentLiveTest {
 
     @Test
     public void givenChainWithDocument_whenPrompted_thenValidResponse() {
-
         EmbeddingModel embeddingModel = new AllMiniLmL6V2EmbeddingModel();
 
         EmbeddingStore<TextSegment> embeddingStore = new InMemoryEmbeddingStore<>();
@@ -61,7 +60,6 @@ public void givenChainWithDocument_whenPrompted_thenValidResponse() {
 
         logger.info(answer);
         assertNotNull(answer);
-
     }
 
 }
diff --git a/libraries-llms/src/test/java/com/baeldung/langchain/ChatWithDocumentLiveTest.java b/libraries-llms/src/test/java/com/baeldung/langchain/ChatWithDocumentLiveTest.java
@@ -38,7 +38,6 @@ public class ChatWithDocumentLiveTest {
 
     @Test
     public void givenDocument_whenPrompted_thenValidResponse() {
-
         Document document = loadDocument(Paths.get("src/test/resources/example-files/simpson's_adventures.txt"));
         DocumentSplitter splitter = DocumentSplitters.recursive(100, 0, new OpenAiTokenizer(GPT_3_5_TURBO));
         List<TextSegment> segments = splitter.split(document);
@@ -77,7 +76,6 @@ public void givenDocument_whenPrompted_thenValidResponse() {
 
         logger.info(aiMessage.text());
         assertNotNull(aiMessage.text());
-
     }
 
 }
diff --git a/libraries-llms/src/test/java/com/baeldung/langchain/ChatWithMemoryLiveTest.java b/libraries-llms/src/test/java/com/baeldung/langchain/ChatWithMemoryLiveTest.java
@@ -22,7 +22,6 @@ public class ChatWithMemoryLiveTest {
 
     @Test
     public void givenMemory_whenPrompted_thenValidResponse() {
-
         ChatLanguageModel model = OpenAiChatModel.withApiKey(Constants.OPEN_AI_KEY);
         ChatMemory chatMemory = TokenWindowChatMemory.withMaxTokens(300, new OpenAiTokenizer(GPT_3_5_TURBO));
 
@@ -38,9 +37,7 @@ public void givenMemory_whenPrompted_thenValidResponse() {
             .content();
         logger.info(answerWithName.text());
         chatMemory.add(answerWithName);
-        assertThat(answerWithName.text()
-            .contains("Kumar"));
-
+        assertThat(answerWithName.text()).contains("Kumar");
     }
 
 }
diff --git a/libraries-llms/src/test/java/com/baeldung/langchain/PromptTemplatesLiveTest.java b/libraries-llms/src/test/java/com/baeldung/langchain/PromptTemplatesLiveTest.java
@@ -21,7 +21,6 @@ public class PromptTemplatesLiveTest {
 
     @Test
     public void givenPromptTemplate_whenSuppliedInput_thenValidResponse() {
-
         PromptTemplate promptTemplate = PromptTemplate.from("Tell me a {{adjective}} joke about {{content}}..");
         Map<String, Object> variables = new HashMap<>();
         variables.put("adjective", "funny");
@@ -37,7 +36,6 @@ public void givenPromptTemplate_whenSuppliedInput_thenValidResponse() {
         String response = model.generate(prompt.text());
         logger.info(response);
         assertNotNull(response);
-
     }
 
 }
diff --git a/libraries-llms/src/test/java/com/baeldung/langchain/ServiceWithToolsLiveTest.java b/libraries-llms/src/test/java/com/baeldung/langchain/ServiceWithToolsLiveTest.java
@@ -16,7 +16,6 @@ public class ServiceWithToolsLiveTest {
     private static final Logger logger = LoggerFactory.getLogger(ServiceWithToolsLiveTest.class);
 
     static class Calculator {
-
         @Tool("Calculates the length of a string")
         int stringLength(String s) {
             return s.length();
@@ -26,17 +25,14 @@ int stringLength(String s) {
         int add(int a, int b) {
             return a + b;
         }
-
     }
 
     interface Assistant {
-
         String chat(String userMessage);
     }
 
     @Test
     public void givenServiceWithTools_whenPrompted_thenValidResponse() {
-
         Assistant assistant = AiServices.builder(Assistant.class)
             .chatLanguageModel(OpenAiChatModel.withApiKey(Constants.OPEN_AI_KEY))
             .tools(new Calculator())
@@ -48,7 +44,6 @@ public void givenServiceWithTools_whenPrompted_thenValidResponse() {
 
         logger.info(answer);
         assertThat(answer).contains("13");
-
     }
 
 }

Original file line number	Diff line number	Diff line change
`@@ -31,7 +31,6 @@ public class ChainWithDocumentLiveTest {`
`31`	`31`
`32`	`32`	`@Test`
`33`	`33`	`public void givenChainWithDocument_whenPrompted_thenValidResponse() {`
`34`		`-`
`35`	`34`	`EmbeddingModel embeddingModel = new AllMiniLmL6V2EmbeddingModel();`
`36`	`35`
`37`	`36`	`EmbeddingStore<TextSegment> embeddingStore = new InMemoryEmbeddingStore<>();`
`@@ -61,7 +60,6 @@ public void givenChainWithDocument_whenPrompted_thenValidResponse() {`
`61`	`60`
`62`	`61`	`logger.info(answer);`
`63`	`62`	`assertNotNull(answer);`
`64`		`-`
`65`	`63`	`}`
`66`	`64`
`67`	`65`	`}`
Original file line number	Diff line number	Diff line change
`@@ -38,7 +38,6 @@ public class ChatWithDocumentLiveTest {`
`38`	`38`
`39`	`39`	`@Test`
`40`	`40`	`public void givenDocument_whenPrompted_thenValidResponse() {`
`41`		`-`
`42`	`41`	`Document document = loadDocument(Paths.get("src/test/resources/example-files/simpson's_adventures.txt"));`
`43`	`42`	`DocumentSplitter splitter = DocumentSplitters.recursive(100, 0, new OpenAiTokenizer(GPT_3_5_TURBO));`
`44`	`43`	`List<TextSegment> segments = splitter.split(document);`
`@@ -77,7 +76,6 @@ public void givenDocument_whenPrompted_thenValidResponse() {`
`77`	`76`
`78`	`77`	`logger.info(aiMessage.text());`
`79`	`78`	`assertNotNull(aiMessage.text());`
`80`		`-`
`81`	`79`	`}`
`82`	`80`
`83`	`81`	`}`
Original file line number	Diff line number	Diff line change
`@@ -21,7 +21,6 @@ public class PromptTemplatesLiveTest {`
`21`	`21`
`22`	`22`	`@Test`
`23`	`23`	`public void givenPromptTemplate_whenSuppliedInput_thenValidResponse() {`
`24`		`-`
`25`	`24`	`PromptTemplate promptTemplate = PromptTemplate.from("Tell me a {{adjective}} joke about {{content}}..");`
`26`	`25`	`Map<String, Object> variables = new HashMap<>();`
`27`	`26`	`variables.put("adjective", "funny");`
`@@ -37,7 +36,6 @@ public void givenPromptTemplate_whenSuppliedInput_thenValidResponse() {`
`37`	`36`	`String response = model.generate(prompt.text());`
`38`	`37`	`logger.info(response);`
`39`	`38`	`assertNotNull(response);`
`40`		`-`
`41`	`39`	`}`
`42`	`40`
`43`	`41`	`}`
Original file line number	Diff line number	Diff line change
`@@ -16,7 +16,6 @@ public class ServiceWithToolsLiveTest {`
`16`	`16`	`private static final Logger logger = LoggerFactory.getLogger(ServiceWithToolsLiveTest.class);`
`17`	`17`
`18`	`18`	`static class Calculator {`
`19`		`-`
`20`	`19`	`@Tool("Calculates the length of a string")`
`21`	`20`	`int stringLength(String s) {`
`22`	`21`	`return s.length();`
`@@ -26,17 +25,14 @@ int stringLength(String s) {`
`26`	`25`	`int add(int a, int b) {`
`27`	`26`	`return a + b;`
`28`	`27`	`}`
`29`		`-`
`30`	`28`	`}`
`31`	`29`
`32`	`30`	`interface Assistant {`
`33`		`-`
`34`	`31`	`String chat(String userMessage);`
`35`	`32`	`}`
`36`	`33`
`37`	`34`	`@Test`
`38`	`35`	`public void givenServiceWithTools_whenPrompted_thenValidResponse() {`
`39`		`-`
`40`	`36`	`Assistant assistant = AiServices.builder(Assistant.class)`
`41`	`37`	`.chatLanguageModel(OpenAiChatModel.withApiKey(Constants.OPEN_AI_KEY))`
`42`	`38`	`.tools(new Calculator())`
`@@ -48,7 +44,6 @@ public void givenServiceWithTools_whenPrompted_thenValidResponse() {`
`48`	`44`
`49`	`45`	`logger.info(answer);`
`50`	`46`	`assertThat(answer).contains("13");`
`51`		`-`
`52`	`47`	`}`
`53`	`48`
`54`	`49`	`}`