Aligned headers

Author: CharlesDuboisSAP

docs/guides/AI_CORE_DEPLOYMENT.md

@@ -66,7 +66,7 @@ In addition to the prerequisites above, we assume you have already set up the fo
       ```
       </details>
 
-### Create a Deployment
+## Create a Deployment
 
 Use the following code snippet to create a deployment in SAP AI Core:
 
@@ -84,7 +84,7 @@ AiExecutionStatus status = deployment.getStatus();
 
 Refer to the [DeploymentController.java](../../sample-code/spring-app/src/main/java/com/sap/ai/sdk/app/controllers/DeploymentController.java) in our Spring Boot application for a complete example.
 
-### Delete a Deployment
+## Delete a Deployment
 
 ```java
 AiDeploymentCreationResponse deployment; // provided

docs/guides/OPENAI_CHAT_COMPLETION.md

@@ -87,7 +87,7 @@ In addition to the prerequisites above, we assume you have already set up the fo
 
       </details>
 
-### Simple chat completion
+## Simple chat completion
 
 ```java
 var result =
@@ -98,7 +98,7 @@ var result =
 String resultMessage = result.getContent();
 ```
 
-### Using a Custom Resource Group
+## Using a Custom Resource Group
 
 ```java
 var destination = new AiCoreService()
@@ -107,7 +107,7 @@ var destination = new AiCoreService()
 OpenAiClient.withCustomDestination(destination);
 ```
 
-### Message history
+## Message history
 
 ```java
 var systemMessage =
@@ -124,7 +124,7 @@ String resultMessage = result.getContent();
 
 See [an example in our Spring Boot application](../../sample-code/spring-app/src/main/java/com/sap/ai/sdk/app/controllers/OpenAiController.java)
 
-### Chat Completion with Specific Model Version
+## Chat Completion with Specific Model Version
 
 By default, when no version is specified, the system selects one of the available deployments of the specified model, regardless of its version.
 To target a specific version, you can specify the model version along with the model.
@@ -134,7 +134,7 @@ OpenAiChatCompletionOutput result =
     OpenAiClient.forModel(GPT_35_TURBO.withVersion("1106")).chatCompletion(request);
 ```
 
-### Chat completion with Custom Model
+## Chat completion with Custom Model
 
 You can also use a custom OpenAI model for chat completion by creating an `OpenAiModel` object. 
 
@@ -145,11 +145,11 @@ OpenAiChatCompletionOutput result =
 
 Ensure that the custom model is deployed in SAP AI Core.
 
-### Stream chat completion
+## Stream chat completion
 
 It's possible to pass a stream of chat completion delta elements, e.g. from the application backend to the frontend in real-time.
 
-#### Asynchronous Streaming
+### Asynchronous Streaming
 
 This is a blocking example for streaming and printing directly to the console:
 
@@ -168,7 +168,7 @@ try (Stream<String> stream = client.streamChatCompletion(msg)) {
 }
 ```
 
-#### Aggregating Total Output
+### Aggregating Total Output
 
 The following example is non-blocking and demonstrates how to aggregate the complete response.
 Any asynchronous library can be used, such as the classic Thread API.
@@ -205,12 +205,10 @@ Integer tokensUsed = totalOutput.getUsage().getCompletionTokens();
 System.out.println("Tokens used: " + tokensUsed);
 ```
 
-#### Spring Boot example
-
 Please find [an example in our Spring Boot application](../../sample-code/spring-app/src/main/java/com/sap/ai/sdk/app/controllers/OpenAiController.java). It shows the usage of Spring
 Boot's `ResponseBodyEmitter` to stream the chat completion delta messages to the frontend in real-time.
 
-### Embedding
+## Embedding
 
 Get the embeddings of a text input in list of float values:
 

docs/guides/ORCHESTRATION_CHAT_COMPLETION.md

@@ -20,7 +20,7 @@
 
 This guide provides examples of how to use the Orchestration service in SAP AI Core for chat completion tasks using the SAP AI SDK for Java.
 
-# Prerequisites
+## Prerequisites
 
 Before using the AI Core module, ensure that you have met all the general requirements outlined in the [README.md](../../README.md#general-requirements). 
 Additionally, include the necessary Maven dependency in your project.