Initial

Author: a-d

docs/guides/ORCHESTRATION_CHAT_COMPLETION.md

@@ -219,11 +219,11 @@ Change your LLM configuration to add model parameters:
 ```java
 OrchestrationAiModel customGPT4O =
     OrchestrationAiModel.GPT_4O
-        .withModelParams(
+        .withParams(
             Map.of(
                 "max_tokens", 50,
                 "temperature", 0.1,
                 "frequency_penalty", 0,
                 "presence_penalty", 0))
-        .withModelVersion("2024-05-13");
+        .withVersion("2024-05-13");
 ```

orchestration/src/main/java/com/sap/ai/sdk/orchestration/OrchestrationAiModel.java

@@ -13,7 +13,7 @@
 @AllArgsConstructor
 public class OrchestrationAiModel {
   /** The name of the model */
-  String modelName;
+  String name;
 
   /**
    * Optional parameters on this model.
@@ -26,10 +26,10 @@ public class OrchestrationAiModel {
    *     "presence_penalty", 0)
    * }</pre>
    */
-  Map<String, Object> modelParams;
+  Map<String, Object> params;
 
   /** The version of the model, defaults to "latest". */
-  String modelVersion;
+  String version;
 
   /** IBM Granite 13B chat completions model */
   public static final OrchestrationAiModel IBM_GRANITE_13B_CHAT =
@@ -106,15 +106,15 @@ public class OrchestrationAiModel {
   public static final OrchestrationAiModel GEMINI_1_5_FLASH =
       new OrchestrationAiModel("gemini-1.5-flash");
 
-  OrchestrationAiModel(@Nonnull final String modelName) {
-    this(modelName, Map.of(), "latest");
+  OrchestrationAiModel(@Nonnull final String name) {
+    this(name, Map.of(), "latest");
   }
 
   @Nonnull
   LLMModuleConfig createConfig() {
     return new LLMModuleConfig()
-        .modelName(modelName)
-        .modelParams(modelParams)
-        .modelVersion(modelVersion);
+        .modelName(name)
+        .modelParams(params)
+        .modelVersion(version);
   }
 }

orchestration/src/test/java/com/sap/ai/sdk/orchestration/OrchestrationUnitTest.java

@@ -63,7 +63,7 @@
 @WireMockTest
 class OrchestrationUnitTest {
   static final OrchestrationAiModel CUSTOM_GPT_35 =
-      GPT_35_TURBO_16K.withModelParams(
+      GPT_35_TURBO_16K.withParams(
           Map.of(
               "max_tokens", 50,
               "temperature", 0.1,