CI

Author: rpanackal

sample-code/spring-app/pom.xml

@@ -160,12 +160,18 @@
         </exclusion>
       </exclusions>
     </dependency>
+
     <!-- scope "provided" -->
     <dependency>
       <groupId>org.projectlombok</groupId>
       <artifactId>lombok</artifactId>
       <scope>provided</scope>
     </dependency>
+    <dependency>
+      <groupId>com.fasterxml.jackson.core</groupId>
+      <artifactId>jackson-core</artifactId>
+      <scope>provided</scope>
+    </dependency>
     <!-- scope "test" -->
     <dependency>
       <groupId>org.junit.jupiter</groupId>
@@ -181,6 +187,7 @@
       <groupId>com.sap.cloud.sdk.cloudplatform</groupId>
       <artifactId>cloudplatform-connectivity</artifactId>
     </dependency>
+
   </dependencies>
 
   <build>

sample-code/spring-app/src/main/java/com/sap/ai/sdk/app/services/OpenAiService.java

@@ -127,7 +127,7 @@ public long execute() {
         return fib(N);
       }
 
-      private static long fib(int n) {
+      private static long fib(final int n) {
         if (n < 2) {
           return n;
         }
@@ -154,29 +154,31 @@ private static long fib(int n) {
             .setTools(List.of(tool))
             .setToolChoiceFunction("fibonacci");
 
-    OpenAiClient client = OpenAiClient.forModel(GPT_4O_MINI);
-    var initialResponse = client.chatCompletion(request);
+    final var client = OpenAiClient.forModel(GPT_4O_MINI);
+    final var initialResponse = client.chatCompletion(request);
 
-    var toolCall = initialResponse.getChoices().get(0).getMessage().getToolCalls().get(0);
+    final var toolCall = initialResponse.getChoices().get(0).getMessage().getToolCalls().get(0);
     String toolResponse;
     try {
-      var fibonacci =
+      final var fibonacci =
           new ObjectMapper().readValue(toolCall.getFunction().getArguments(), Fibonacci.class);
       toolResponse = String.valueOf(fibonacci.execute());
     } catch (Exception e) {
       throw new IllegalArgumentException("Error parsing tool call arguments", e);
     }
 
-    var assistantMessage = initialResponse.getChoices().get(0).getMessage();
+    final var assistantMessage = initialResponse.getChoices().get(0).getMessage();
     messages.add(assistantMessage);
 
-    var toolMessage =
+    final var toolMessage =
         new OpenAiChatMessage.OpenAiChatToolMessage()
             .setToolCallId(toolCall.getId())
             .setContent(toolResponse);
     messages.add(toolMessage);
 
-    var finalRequest = new OpenAiChatCompletionParameters().addMessages(messages.toArray(OpenAiChatMessage[]::new));
+    final var finalRequest =
+        new OpenAiChatCompletionParameters()
+            .addMessages(messages.toArray(OpenAiChatMessage[]::new));
 
     return client.chatCompletion(finalRequest);
   }

sample-code/spring-app/src/test/java/com/sap/ai/sdk/app/services/OpenAiServiceV2.java

@@ -167,9 +167,9 @@ private static long fib(int n) {
 
     OpenAiClient client = OpenAiClient.forModel(GPT_4O_MINI);
 
-    var initialResponse = client.chatCompletion(request);
+    final var initialResponse = client.chatCompletion(request);
 
-    var toolCall = initialResponse.getChoices().get(0).getMessage().getToolCalls().get(0);
+    final var toolCall = initialResponse.getChoices().get(0).getMessage().getToolCalls().get(0);
     String toolResponseContent;
     try {
       var fibonacci =
@@ -179,7 +179,7 @@ private static long fib(int n) {
       throw new IllegalArgumentException("Error parsing tool call arguments", e);
     }
 
-    var assistantMessage =
+    final var assistantMessage =
         new ChatCompletionRequestAssistantMessage()
             .role(ChatCompletionRequestAssistantMessage.RoleEnum.ASSISTANT)
             .content(
@@ -188,7 +188,7 @@ private static long fib(int n) {
             .toolCalls(List.of(toolCall));
     request.addMessagesItem(assistantMessage);
 
-    var toolMessage =
+    final var toolMessage =
         new ChatCompletionRequestToolMessage()
             .role(ChatCompletionRequestToolMessage.RoleEnum.TOOL)
             .content(ChatCompletionRequestToolMessageContent.create(toolResponseContent))