Better documentation

Author: CharlesDuboisSAP

README.md

@@ -134,6 +134,7 @@ For more detailed information and advanced usage, please refer to the following:
 - [Connecting to AI Core](docs/guides/CONNECTING_TO_AICORE.md)
 - [Orchestration Chat Completion](docs/guides/ORCHESTRATION_CHAT_COMPLETION.md)
 - [OpenAI Chat Completion](docs/guides/OPENAI_CHAT_COMPLETION.md)
+- [Spring AI Integration](docs/guides/SPRING_AI_INTEGRATION.md)
 - [AI Core Deployment](docs/guides/AI_CORE_DEPLOYMENT.md)
 
 For updating versions, please refer to the [**Release Notes**](docs/release-notes/release-notes-0-to-14.md).

docs/guides/ORCHESTRATION_CHAT_COMPLETION.md

@@ -13,7 +13,6 @@
     - [Grounding](#grounding)
     - [Stream chat completion](#stream-chat-completion)
     - [Set Model Parameters](#set-model-parameters)
-    - [Spring AI Integration](#spring-ai-integration)
     - [Using a Configuration from AI Launchpad](#using-a-configuration-from-ai-launchpad)
 
 ## Introduction
@@ -271,22 +270,6 @@ OrchestrationAiModel customGPT4O =
         .withVersion("2024-05-13");
 ```
 
-## Spring AI Integration
-
-The Orchestration client is integrated in Spring AI classes:
-
-```java
-ChatModel client = new OrchestrationChatModel();
-OrchestrationModuleConfig config =
-    new OrchestrationModuleConfig().withLlmConfig(GPT_35_TURBO);
-OrchestrationChatOptions opts = new OrchestrationChatOptions(config);
-
-Prompt prompt = new Prompt("What is the capital of France?", opts);
-ChatResponse response = client.call(prompt);
-```
-
-Please find [an example in our Spring Boot application](../../sample-code/spring-app/src/main/java/com/sap/ai/sdk/app/controllers/SpringAiOrchestrationController.java).
-
 ## Using a Configuration from AI Launchpad
 
 In case you have created a configuration in AI Launchpad, you can copy or download the configuration as JSON and use it directly in your code:

docs/guides/SPRING_AI_INTEGRATION.md

@@ -0,0 +1,52 @@
+# Spring AI Integration
+
+## Table of Contents
+
+- [Introduction](#introduction)
+- [Orchestration Chat Completion](#orchestration-chat-completion)
+- [Orchestration Masking](#orchestration-masking)
+
+## Introduction
+
+This guide provides examples of how to use our Spring AI integration with our clients in SAP AI Core
+for chat completion tasks using the SAP AI SDK for Java.
+
+## Orchestration Chat Completion
+
+The Orchestration client is integrated in Spring AI classes:
+
+```java
+ChatModel client = new OrchestrationChatModel();
+OrchestrationModuleConfig config = new OrchestrationModuleConfig().withLlmConfig(GPT_35_TURBO);
+OrchestrationChatOptions opts = new OrchestrationChatOptions(config);
+
+Prompt prompt = new Prompt("What is the capital of France?", opts);
+ChatResponse response = client.call(prompt);
+```
+
+Please
+find [an example in our Spring Boot application](../../sample-code/spring-app/src/main/java/com/sap/ai/sdk/app/controllers/SpringAiOrchestrationController.java).
+
+## Orchestration Masking
+
+Configure Orchestration modules withing Spring AI:
+
+```java
+ChatModel client = new OrchestrationChatModel();
+OrchestrationModuleConfig config = new OrchestrationModuleConfig().withLlmConfig(GPT_35_TURBO);
+
+val masking =
+    DpiMasking.anonymization()
+        .withEntities(DPIEntities.EMAIL, DPIEntities.ADDRESS, DPIEntities.LOCATION);
+
+val opts = new OrchestrationChatOptions(config.withMaskingConfig(masking));
+val prompt =
+    new Prompt(
+        "Please write 'Hello World!' to me via email. My email address is foo.bar@baz.ai",
+        opts);
+
+ChatResponse response = client.call(prompt);
+```
+
+Please
+find [an example in our Spring Boot application](../../sample-code/spring-app/src/main/java/com/sap/ai/sdk/app/controllers/SpringAiOrchestrationController.java).

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

@@ -44,7 +44,7 @@ public ChatResponse completion() {
   @Nonnull
   public ChatResponse template() {
     val template = new PromptTemplate("{input}");
-    val prompt = template.create(Map.of("input", "Hello World!"), defaultOptions);
+    val prompt = template.create(Map.of("input", "What is the capital of France?"), defaultOptions);
 
     return client.call(prompt);
   }