feat: [RPT] Update RPT client to version 1.5

.github/workflows/spec-update.yaml

@@ -161,9 +161,9 @@ jobs:
               FILE_PATH='core-services/prompt-registry/src/main/resources/spec/prompt-registry.yaml'
               MODULE_PATH='core-services/prompt-registry'
               ;;
-            sap-rpt) # https://github.tools.sap/DL-COE/sap-rpt-1-public-content
-              API_URL="$API_BASE_URL/DL-COE/sap-rpt-1-public-content/contents/sap-rpt-1_openapi.json?ref=$REF"
-              FILE_PATH='foundation-models/sap-rpt/src/main/resources/spec/sap-rpt-1_openapi.json'
+            sap-rpt) # https://github.tools.sap/DL-COE/sap-rpt-resources
+              API_URL="$API_BASE_URL/DL-COE/sap-rpt-resources/contents/sap-rpt-1.6_openapi.json?ref=$REF"
+              FILE_PATH='foundation-models/sap-rpt/src/main/resources/spec/sap-rpt_openapi.json'
               MODULE_PATH='foundation-models/sap-rpt'
               ;;
             batch)

.pipeline/spotbugs-exclusions.xml

@@ -8,6 +8,7 @@
       <Package name="com.sap.ai.sdk.grounding.client"/>
       <Package name="com.sap.ai.sdk.grounding.model"/>
       <Package name="com.sap.ai.sdk.foundationmodels.openai.generated.model"/>
+      <Package name="com.sap.ai.sdk.foundationmodels.rpt.generated.model"/>
       <Package name="com.sap.ai.sdk.prompt.registry.model"/>
       <Package name="com.sap.ai.sdk.prompt.registry.client"/>
     </Or>

docs/release_notes.md

@@ -8,15 +8,22 @@
 
 ### 🔧 Compatibility Notes
 
--
+- [RPT] Updated SAP RPT tabular data prediction model client to version 1.5:
 
+  | Aspect            | Before                                                              | After                                                                     |
+  |-------------------|---------------------------------------------------------------------|---------------------------------------------------------------------------|
+  | Row prediction    | `PredictRequestPayload.create().predictionConfig().xxx().rows()`    | `PredictRequestPayloadOneOf.create().predictionConfig().rows().xxx()`     |
+  | Column prediction | `PredictRequestPayload.create().predictionConfig().xxx().columns()` | `PredictRequestPayloadOneOf1.create().predictionConfig().columns().xxx()` |
+
 ### ✨ New Functionality
 
 -[Orchestration] Added `GEMINI_3_5_FLASH_LITE` and `GEMINI_3_6_FLASH` to model list in `OrchestrationAiModel`.
 
 ### 📈 Improvements
 
--
+- [RPT] Updated SAP RPT tabular data prediction model client to version 1.5:
+  - Added new `RptModel`, `SAP_RPT_1_5` and `SAP_RPT_1_5_LARGE`
+  - Added `explanation` parameter to `PredictionConfig`.
 
 ### 🐛 Fixed Issues
 

foundation-models/sap-rpt/pom.xml

@@ -227,7 +227,7 @@
                 </goals>
                 <phase>generate-sources</phase>
                 <configuration>
-                  <inputSpec>${project.basedir}/src/main/resources/spec/sap-rpt-1_openapi.json</inputSpec>
+                  <inputSpec>${project.basedir}/src/main/resources/spec/sap-rpt_openapi.json</inputSpec>
                   <modelPackage>com.sap.ai.sdk.foundationmodels.rpt.generated.model</modelPackage>
                   <apiPackage>com.sap.ai.sdk.foundationmodels.rpt.generated.client</apiPackage>
                   <additionalProperties>

foundation-models/sap-rpt/src/main/java/com/sap/ai/sdk/foundationmodels/rpt/RptModel.java

@@ -5,20 +5,26 @@
 import javax.annotation.Nullable;
 
 /**
- * Represents an SAP RPT foundation model.
+ * Represents an SAP Relational Pre-trained Transformer foundation model.
  *
  * @param name The name of the model.
  * @param version The version of the model (optional).
  * @since 1.16.0
  */
 public record RptModel(@Nonnull String name, @Nullable String version) implements AiModel {
 
-  /** SAP RPT 1 Small model. */
+  /** SAP Relational Pre-trained Transformer 1 Small model. */
   public static final RptModel SAP_RPT_1_SMALL = new RptModel("sap-rpt-1-small", null);
 
-  /** SAP RPT 1 Large model. */
+  /** SAP Relational Pre-trained Transformer 1 Large model. */
   public static final RptModel SAP_RPT_1_LARGE = new RptModel("sap-rpt-1-large", null);
 
+  /** SAP Relational Pre-trained Transformer 1.5 model. */
+  public static final RptModel SAP_RPT_1_5 = new RptModel("sap-rpt-1.5", null);
+
+  /** SAP Relational Pre-trained Transformer 1.5 Large model. */
+  public static final RptModel SAP_RPT_1_5_LARGE = new RptModel("sap-rpt-1.5-large", null);
+
   /**
    * Create a new instance of RptModel with the provided version.
    *

foundation-models/sap-rpt/src/main/java/com/sap/ai/sdk/foundationmodels/rpt/generated/client/DefaultApi.java

@@ -18,14 +18,14 @@
 import javax.annotation.Nullable;
 
 /**
- * SAP-RPT-1 Tabular AI in version 0.1.0.
+ * SAP RPT in version 1.5.0.
  *
- * <p>A REST API for in-context learning with the SAP-RPT-1 model.
+ * <p>A REST API for in-context learning with SAP RPT models.
  */
 public class DefaultApi extends BaseApi {
 
   /**
-   * Instantiates this API class to invoke operations on the SAP-RPT-1 Tabular AI.
+   * Instantiates this API class to invoke operations on the SAP RPT.
    *
    * @param httpDestination The destination that API should be used with
    */
@@ -34,8 +34,8 @@ public DefaultApi(@Nonnull final Destination httpDestination) {
   }
 
   /**
-   * Instantiates this API class to invoke operations on the SAP-RPT-1 Tabular AI based on a given
-   * {@link ApiClient}.
+   * Instantiates this API class to invoke operations on the SAP RPT based on a given {@link
+   * ApiClient}.
    *
    * @param apiClient ApiClient to invoke the API on
    */
@@ -57,13 +57,53 @@ public DefaultApi withDefaultHeaders(@Nonnull final Map<String, String> defaultH
   }
 
   /**
-   * Make in-context predictions for specified target columns based on provided table data JSON
-   * (optionally gzip-compressed).
+   * Health Check
    *
-   * <p>Make in-context predictions for specified target columns. Either \&quot;rows\&quot; or
-   * \&quot;columns\&quot; must be provided and must contain both context and query rows. You can
-   * optionally send gzip-compressed JSON payloads and set a \&quot;Content-Encoding: gzip\&quot;
-   * header.
+   * <p>
+   *
+   * <p><b>200</b> - Successful Response
+   *
+   * @return Object
+   * @throws OpenApiRequestException if an error occurs while attempting to invoke the API
+   */
+  @Nonnull
+  public Object health() throws OpenApiRequestException {
+
+    // create path and map variables
+    final String localVarPath = "/health";
+
+    final StringJoiner localVarQueryStringJoiner = new StringJoiner("&");
+    final List<Pair> localVarQueryParams = new ArrayList<Pair>();
+    final List<Pair> localVarCollectionQueryParams = new ArrayList<Pair>();
+    final Map<String, String> localVarHeaderParams = new HashMap<String, String>(defaultHeaders);
+    final Map<String, Object> localVarFormParams = new HashMap<String, Object>();
+
+    final String[] localVarAccepts = {"application/json"};
+    final String localVarAccept = ApiClient.selectHeaderAccept(localVarAccepts);
+    final String[] localVarContentTypes = {};
+
+    final String localVarContentType = ApiClient.selectHeaderContentType(localVarContentTypes);
+
+    final TypeReference<Object> localVarReturnType = new TypeReference<Object>() {};
+
+    return apiClient.invokeAPI(
+        localVarPath,
+        "GET",
+        localVarQueryParams,
+        localVarCollectionQueryParams,
+        localVarQueryStringJoiner.toString(),
+        null,
+        localVarHeaderParams,
+        localVarFormParams,
+        localVarAccept,
+        localVarContentType,
+        localVarReturnType);
+  }
+
+  /**
+   * Make predictions from JSON (optionally gzip-compressed).
+   *
+   * <p>
    *
    * <p><b>200</b> - Successful Prediction
    *
@@ -75,12 +115,18 @@ public DefaultApi withDefaultHeaders(@Nonnull final Map<String, String> defaultH
    *
    * <p><b>500</b> - Internal Server Error
    *
-   * @param predictRequestPayload The value for the parameter predictRequestPayload
+   * <p><b>503</b> - Service Unavailable
+   *
+   * @param predictRequestPayload (required) The value for the parameter predictRequestPayload
+   * @param contentEncoding (optional) Content encoding of the request body. Use &#39;gzip&#39; for
+   *     gzip-compressed payloads. Use compression level 1.
    * @return PredictResponsePayload
    * @throws OpenApiRequestException if an error occurs while attempting to invoke the API
    */
   @Nonnull
-  public PredictResponsePayload predict(@Nonnull final PredictRequestPayload predictRequestPayload)
+  public PredictResponsePayload predict(
+      @Nonnull final PredictRequestPayload predictRequestPayload,
+      @Nullable final String contentEncoding)
       throws OpenApiRequestException {
 
     // verify the required parameter 'predictRequestPayload' is set
@@ -99,6 +145,9 @@ public PredictResponsePayload predict(@Nonnull final PredictRequestPayload predi
     final Map<String, String> localVarHeaderParams = new HashMap<String, String>(defaultHeaders);
     final Map<String, Object> localVarFormParams = new HashMap<String, Object>();
 
+    if (contentEncoding != null)
+      localVarHeaderParams.put("Content-Encoding", ApiClient.parameterToString(contentEncoding));
+
     final String[] localVarAccepts = {"application/json"};
     final String localVarAccept = ApiClient.selectHeaderAccept(localVarAccepts);
     final String[] localVarContentTypes = {"application/json"};
@@ -122,11 +171,36 @@ public PredictResponsePayload predict(@Nonnull final PredictRequestPayload predi
   }
 
   /**
-   * Make in-context predictions for specified target columns based on provided table data Parquet
-   * file.
+   * Make predictions from JSON (optionally gzip-compressed).
+   *
+   * <p>
+   *
+   * <p><b>200</b> - Successful Prediction
+   *
+   * <p><b>400</b> - Bad Request - Invalid input data
+   *
+   * <p><b>413</b> - Payload Too Large
+   *
+   * <p><b>422</b> - Validation Error
+   *
+   * <p><b>500</b> - Internal Server Error
+   *
+   * <p><b>503</b> - Service Unavailable
+   *
+   * @param predictRequestPayload The value for the parameter predictRequestPayload
+   * @return PredictResponsePayload
+   * @throws OpenApiRequestException if an error occurs while attempting to invoke the API
+   */
+  @Nonnull
+  public PredictResponsePayload predict(@Nonnull final PredictRequestPayload predictRequestPayload)
+      throws OpenApiRequestException {
+    return predict(predictRequestPayload, null);
+  }
+
+  /**
+   * Make predictions from Parquet file
    *
-   * <p>Make in-context predictions for specified target columns based on provided table data
-   * Parquet file.
+   * <p>
    *
    * <p><b>200</b> - Successful Prediction
    *
@@ -138,10 +212,13 @@ public PredictResponsePayload predict(@Nonnull final PredictRequestPayload predi
    *
    * <p><b>500</b> - Internal Server Error
    *
-   * @param _file (required) Parquet file containing the data
-   * @param predictionConfig (required) JSON string for prediction_config
-   * @param indexColumn (optional) Optional index column name
-   * @param parseDataTypes (optional, default to true) Whether to parse data types
+   * <p><b>503</b> - Service Unavailable
+   *
+   * @param _file (required) The value for the parameter _file
+   * @param predictionConfig (required) JSON string containing the prediction configuration (see
+   *     PredictionConfig schema).
+   * @param indexColumn (optional) The value for the parameter indexColumn
+   * @param parseDataTypes (optional, default to false) The value for the parameter parseDataTypes
    * @return PredictResponsePayload
    * @throws OpenApiRequestException if an error occurs while attempting to invoke the API
    */
@@ -204,11 +281,9 @@ public PredictResponsePayload predictParquet(
   }
 
   /**
-   * Make in-context predictions for specified target columns based on provided table data Parquet
-   * file.
+   * Make predictions from Parquet file
    *
-   * <p>Make in-context predictions for specified target columns based on provided table data
-   * Parquet file.
+   * <p>
    *
    * <p><b>200</b> - Successful Prediction
    *
@@ -220,8 +295,11 @@ public PredictResponsePayload predictParquet(
    *
    * <p><b>500</b> - Internal Server Error
    *
-   * @param _file Parquet file containing the data
-   * @param predictionConfig JSON string for prediction_config
+   * <p><b>503</b> - Service Unavailable
+   *
+   * @param _file The value for the parameter _file
+   * @param predictionConfig JSON string containing the prediction configuration (see
+   *     PredictionConfig schema).
    * @return PredictResponsePayload
    * @throws OpenApiRequestException if an error occurs while attempting to invoke the API
    */

foundation-models/sap-rpt/src/main/java/com/sap/ai/sdk/foundationmodels/rpt/generated/model/ColumnType.java

@@ -1,6 +1,6 @@
 /*
- * SAP-RPT-1 Tabular AI
- * A REST API for in-context learning with the SAP-RPT-1 model.
+ * SAP RPT
+ * A REST API for in-context learning with SAP RPT models.
  *
  *
  *
@@ -15,14 +15,45 @@
 import com.fasterxml.jackson.annotation.JsonValue;
 import javax.annotation.Nonnull;
 
-/** Gets or Sets ColumnType */
+/**
+ * Supported column data types for the data schema. Includes base types (string, numeric, date) and
+ * additional types derived from SAP CDS (https://cap.cloud.sap/docs/cds/types#core-built-in-types).
+ * Additional types are mapped to the corresponding base type internally. All values are lowercase
+ * for case-insensitive matching.
+ */
 public enum ColumnType {
   STRING("string"),
 
   NUMERIC("numeric"),
 
   DATE("date"),
 
+  BOOLEAN("boolean"),
+
+  LARGESTRING("largestring"),
+
+  UUID("uuid"),
+
+  INTEGER("integer"),
+
+  INT16("int16"),
+
+  INT32("int32"),
+
+  INT64("int64"),
+
+  UINT8("uint8"),
+
+  DECIMAL("decimal"),
+
+  DOUBLE("double"),
+
+  TIME("time"),
+
+  DATETIME("datetime"),
+
+  TIMESTAMP("timestamp"),
+
   UNKNOWN_DEFAULT_OPEN_API("unknown_default_open_api");
 
   private final String value;