diff --git a/.changeset/nice-emus-train.md b/.changeset/nice-emus-train.md
new file mode 100644
index 000000000..92b6d87ec
--- /dev/null
+++ b/.changeset/nice-emus-train.md
@@ -0,0 +1,5 @@
+---
+'@sap-ai-sdk/orchestration': minor
+---
+
+[feat] Update orchestration specification to 0.115.19
diff --git a/packages/orchestration/src/client/api/schema/dpi-config.ts b/packages/orchestration/src/client/api/schema/dpi-config.ts
index afc07d364..45e43fa2c 100644
--- a/packages/orchestration/src/client/api/schema/dpi-config.ts
+++ b/packages/orchestration/src/client/api/schema/dpi-config.ts
@@ -35,4 +35,8 @@ export type DpiConfig = {
      */
     enabled?: boolean;
   };
+  /**
+   * Type of masking method to be used for file inputs. Required if file inputs are provided.
+   */
+  mask_file_input_method?: 'anonymization' | 'skip';
 };
diff --git a/packages/orchestration/src/client/api/schema/embedding-base-64-string.ts b/packages/orchestration/src/client/api/schema/embedding-base-64-string.ts
new file mode 100644
index 000000000..8078f7268
--- /dev/null
+++ b/packages/orchestration/src/client/api/schema/embedding-base-64-string.ts
@@ -0,0 +1,10 @@
+/*
+ * Copyright (c) 2026 SAP SE or an SAP affiliate company. All rights reserved.
+ *
+ * This is a generated file powered by the SAP Cloud SDK for JavaScript.
+ */
+
+/**
+ * A single base64 string representing the embedding.
+ */
+export type EmbeddingBase64String = string;
diff --git a/packages/orchestration/src/client/api/schema/embedding-float-array.ts b/packages/orchestration/src/client/api/schema/embedding-float-array.ts
new file mode 100644
index 000000000..3b3eafac6
--- /dev/null
+++ b/packages/orchestration/src/client/api/schema/embedding-float-array.ts
@@ -0,0 +1,10 @@
+/*
+ * Copyright (c) 2026 SAP SE or an SAP affiliate company. All rights reserved.
+ *
+ * This is a generated file powered by the SAP Cloud SDK for JavaScript.
+ */
+
+/**
+ * An array of floating point numbers representing the embedding.
+ */
+export type EmbeddingFloatArray = number[];
diff --git a/packages/orchestration/src/client/api/schema/embedding-multi-format.ts b/packages/orchestration/src/client/api/schema/embedding-multi-format.ts
new file mode 100644
index 000000000..654fe46ed
--- /dev/null
+++ b/packages/orchestration/src/client/api/schema/embedding-multi-format.ts
@@ -0,0 +1,35 @@
+/*
+ * Copyright (c) 2026 SAP SE or an SAP affiliate company. All rights reserved.
+ *
+ * This is a generated file powered by the SAP Cloud SDK for JavaScript.
+ */
+
+/**
+ * A dictionary mapping encoding format names to their embeddings. Used when multiple encoding formats are requested (Cohere-specific).
+ */
+export type EmbeddingMultiFormat = {
+  /**
+   * Float encoding format - array of floating point numbers
+   */
+  float?: number[];
+  /**
+   * Int8 encoding format - array of 8-bit integers
+   */
+  int8?: number[];
+  /**
+   * Uint8 encoding format - array of unsigned 8-bit integers
+   */
+  uint8?: number[];
+  /**
+   * Base64 encoding format - base64 encoded string
+   */
+  base64?: string;
+  /**
+   * Binary encoding format - array of integers
+   */
+  binary?: number[];
+  /**
+   * Ubinary encoding format - array of unsigned integers
+   */
+  ubinary?: number[];
+};
diff --git a/packages/orchestration/src/client/api/schema/embedding.ts b/packages/orchestration/src/client/api/schema/embedding.ts
index e0eea646f..9f2c000bf 100644
--- a/packages/orchestration/src/client/api/schema/embedding.ts
+++ b/packages/orchestration/src/client/api/schema/embedding.ts
@@ -3,8 +3,13 @@
  *
  * This is a generated file powered by the SAP Cloud SDK for JavaScript.
  */
-
+import type { EmbeddingFloatArray } from './embedding-float-array.js';
+import type { EmbeddingBase64String } from './embedding-base-64-string.js';
+import type { EmbeddingMultiFormat } from './embedding-multi-format.js';
 /**
  * Representation of the 'Embedding' schema.
  */
-export type Embedding = number[] | string;
+export type Embedding =
+  | EmbeddingFloatArray
+  | EmbeddingBase64String
+  | EmbeddingMultiFormat;
diff --git a/packages/orchestration/src/client/api/schema/embeddings-input.ts b/packages/orchestration/src/client/api/schema/embeddings-input.ts
index d7c9202fd..b53ae3393 100644
--- a/packages/orchestration/src/client/api/schema/embeddings-input.ts
+++ b/packages/orchestration/src/client/api/schema/embeddings-input.ts
@@ -9,5 +9,13 @@ import type { EmbeddingsInputText } from './embeddings-input-text.js';
  */
 export type EmbeddingsInput = {
   text: EmbeddingsInputText;
-  type?: 'text' | 'document' | 'query';
+  type?:
+    | 'text'
+    | 'document'
+    | 'query'
+    | 'search_document'
+    | 'search_query'
+    | 'classification'
+    | 'clustering'
+    | 'image';
 };
diff --git a/packages/orchestration/src/client/api/schema/embeddings-model-params.ts b/packages/orchestration/src/client/api/schema/embeddings-model-params.ts
index b1a8995b4..28fa50d42 100644
--- a/packages/orchestration/src/client/api/schema/embeddings-model-params.ts
+++ b/packages/orchestration/src/client/api/schema/embeddings-model-params.ts
@@ -3,7 +3,7 @@
  *
  * This is a generated file powered by the SAP Cloud SDK for JavaScript.
  */
-
+import type { EncodingFormat } from './encoding-format.js';
 /**
  * Additional parameters for generating input's embeddings. Default values are used for mandatory parameters.
  */
@@ -14,9 +14,9 @@ export type EmbeddingsModelParams = {
    */
   dimensions?: number;
   /**
-   * OpenAI's spec allows for 'float' and 'base64' encoding formats.
+   * The format to return the embeddings in. Can be a single format or an array of formats. OpenAI's spec allows for 'float' and 'base64' encoding formats.
    *
    */
-  encoding_format?: 'float' | 'base64' | 'binary';
+  encoding_format?: EncodingFormat | EncodingFormat[];
   normalize?: boolean;
 } & Record<string, any>;
diff --git a/packages/orchestration/src/client/api/schema/encoding-format.ts b/packages/orchestration/src/client/api/schema/encoding-format.ts
new file mode 100644
index 000000000..a646f779f
--- /dev/null
+++ b/packages/orchestration/src/client/api/schema/encoding-format.ts
@@ -0,0 +1,16 @@
+/*
+ * Copyright (c) 2026 SAP SE or an SAP affiliate company. All rights reserved.
+ *
+ * This is a generated file powered by the SAP Cloud SDK for JavaScript.
+ */
+
+/**
+ * Encoding format for embeddings.
+ */
+export type EncodingFormat =
+  | 'float'
+  | 'base64'
+  | 'binary'
+  | 'int8'
+  | 'uint8'
+  | 'ubinary';
diff --git a/packages/orchestration/src/client/api/schema/index.ts b/packages/orchestration/src/client/api/schema/index.ts
index b654e436e..151ed56a5 100644
--- a/packages/orchestration/src/client/api/schema/index.ts
+++ b/packages/orchestration/src/client/api/schema/index.ts
@@ -11,11 +11,15 @@ export * from './embeddings-input-text.js';
 export * from './embeddings-module-configs.js';
 export * from './embeddings-model-config.js';
 export * from './embeddings-model-details.js';
+export * from './encoding-format.js';
 export * from './embeddings-model-params.js';
 export * from './embeddings-post-response.js';
 export * from './embeddings-response.js';
 export * from './embeddings-usage.js';
 export * from './embedding-result.js';
+export * from './embedding-float-array.js';
+export * from './embedding-base-64-string.js';
+export * from './embedding-multi-format.js';
 export * from './embedding.js';
 export * from './chat-messages.js';
 export * from './templating-chat-message.js';
diff --git a/packages/orchestration/src/index.ts b/packages/orchestration/src/index.ts
index 0f34a4689..015c969c8 100644
--- a/packages/orchestration/src/index.ts
+++ b/packages/orchestration/src/index.ts
@@ -44,7 +44,8 @@ export type {
   EmbeddingModelDetails,
   EmbeddingModelParams,
   EmbeddingModuleConfig,
-  EmbeddingData
+  EmbeddingData,
+  OrchestrationRequestHeaders
 } from './orchestration-types.js';
 export {
   isConfigReference,
diff --git a/packages/orchestration/src/orchestration-client.test.ts b/packages/orchestration/src/orchestration-client.test.ts
index 7acb7a2ed..66b8e806c 100644
--- a/packages/orchestration/src/orchestration-client.test.ts
+++ b/packages/orchestration/src/orchestration-client.test.ts
@@ -6,6 +6,7 @@ import {
   getOrchestrationDeploymentId
 } from '@sap-ai-sdk/ai-api/internal.js';
 import {
+  aiCoreDestination,
   mockClientCredentialsGrantCall,
   mockDeploymentsList,
   mockInference,
@@ -707,6 +708,45 @@ describe('orchestration service client', () => {
     expect(response._data).toEqual(mockResponse);
   });
 
+  it('passes AI-Object-Store-Secret-Name header to the HTTP request', async () => {
+    const config: OrchestrationModuleConfig = {
+      promptTemplating: {
+        model: {
+          name: 'gpt-5-mini',
+          params: { max_tokens: 50 }
+        }
+      }
+    };
+
+    const prompt: ChatCompletionRequest = {
+      messages: [{ role: 'user', content: 'Hello' }]
+    };
+
+    const mockResponse = await parseMockResponse<CompletionPostResponse>(
+      'orchestration',
+      'orchestration-chat-completion-success-response.json'
+    );
+
+    nock(aiCoreDestination.url, {
+      reqheaders: {
+        'ai-resource-group': 'default',
+        'AI-Object-Store-Secret-Name': 'my-object-store-secret'
+      }
+    })
+      .post(
+        '/v2/inference/deployments/1234/v2/completion',
+        constructCompletionPostRequest(config, prompt)
+      )
+      .reply(200, mockResponse);
+
+    const response = await new OrchestrationClient(config).chatCompletion(
+      prompt,
+      { headers: { 'AI-Object-Store-Secret-Name': 'my-object-store-secret' } }
+    );
+
+    expect(response._data).toEqual(mockResponse);
+  });
+
   it('executes a request with the custom resource group', async () => {
     const prompt: ChatCompletionRequest = {
       messagesHistory: [
diff --git a/packages/orchestration/src/orchestration-client.ts b/packages/orchestration/src/orchestration-client.ts
index 19db0a0bd..7cdf0d839 100644
--- a/packages/orchestration/src/orchestration-client.ts
+++ b/packages/orchestration/src/orchestration-client.ts
@@ -32,7 +32,8 @@ import type {
   ChatCompletionRequest,
   RequestOptions,
   StreamOptions,
-  BaseStreamOptions
+  BaseStreamOptions,
+  OrchestrationRequestHeaders
 } from './orchestration-types.js';
 import type { OrchestrationStreamChunkResponse } from './orchestration-stream-chunk-response.js';
 import type { HttpDestinationOrFetchOptions } from '@sap-cloud-sdk/connectivity';
@@ -74,9 +75,18 @@ export class OrchestrationClient {
     }
   }
 
+  /**
+   * Send a chat completion request to the orchestration service.
+   * @param request - Request containing messages, placeholder values, and message history.
+   * @param requestConfig - Additional request configuration. Use `requestConfig.headers` to pass service-specific headers:
+   * - `AI-Object-Store-Secret-Name`: Name of the object store secret used by the feedback service.
+   * @returns The orchestration service response.
+   */
   async chatCompletion(
     request?: ChatCompletionRequest,
-    requestConfig?: CustomRequestConfig
+    requestConfig?: CustomRequestConfig & {
+      headers?: OrchestrationRequestHeaders;
+    }
   ): Promise<OrchestrationResponse> {
     requestConfig?.signal?.throwIfAborted();
     if (isConfigReference(this.config) && request?.messages?.length) {
@@ -92,11 +102,22 @@ export class OrchestrationClient {
     return new OrchestrationResponse(response);
   }
 
+  /**
+   * Create a streaming chat completion request to the orchestration service.
+   * @param request - Request containing messages, placeholder values, and message history.
+   * @param signal - An abort signal to cancel the request.
+   * @param options - Streaming options, e.g., for input/output filtering.
+   * @param requestConfig - Additional request configuration. Use `requestConfig.headers` to pass service-specific headers:
+   * - `AI-Object-Store-Secret-Name`: Name of the object store secret used by the feedback service.
+   * @returns The orchestration stream response.
+   */
   async stream(
     request?: ChatCompletionRequest,
     signal?: AbortSignal,
     options?: StreamOptions,
-    requestConfig?: CustomRequestConfig
+    requestConfig?: CustomRequestConfig & {
+      headers?: OrchestrationRequestHeaders;
+    }
   ): Promise<OrchestrationStreamResponse<OrchestrationStreamChunkResponse>> {
     const controller = new AbortController();
     if (signal) {
diff --git a/packages/orchestration/src/orchestration-embedding-response.ts b/packages/orchestration/src/orchestration-embedding-response.ts
index 5d4ebc9b4..2b21cd786 100644
--- a/packages/orchestration/src/orchestration-embedding-response.ts
+++ b/packages/orchestration/src/orchestration-embedding-response.ts
@@ -22,7 +22,6 @@ export class OrchestrationEmbeddingResponse {
    * @returns Array of embedding data objects containing both vectors, indices, and object types.
    */
   getEmbeddings(): EmbeddingData[] {
-    // TODO: Remove non-null assertion when final_result is made mandatory in the schema
     return this._data.final_result.data.map((result: EmbeddingResult) => ({
       embedding: result.embedding,
       index: result.index,
diff --git a/packages/orchestration/src/orchestration-types.ts b/packages/orchestration/src/orchestration-types.ts
index 3feaeb8ec..03c46724e 100644
--- a/packages/orchestration/src/orchestration-types.ts
+++ b/packages/orchestration/src/orchestration-types.ts
@@ -26,7 +26,8 @@ import type {
   EmbeddingsModelDetails as OriginalEmbeddingsModelDetails,
   EmbeddingsModelParams as OriginalEmbeddingsModelParams,
   SAPDocumentTranslationInput,
-  SAPDocumentTranslationOutput
+  SAPDocumentTranslationOutput,
+  Embedding
 } from './client/api/schema/index.js';
 
 /**
@@ -353,6 +354,23 @@ export function isOrchestrationModuleConfigList(
   }
 }
 
+/**
+ * Service-specific headers for orchestration requests.
+ * @remarks
+ * `AI-Resource-Group` is configured via the `deploymentConfig` constructor parameter, not here.
+ */
+export interface OrchestrationRequestHeaders {
+  /**
+   * Name of the object store secret used by the feedback service.
+   */
+  'AI-Object-Store-Secret-Name'?: string;
+  [key: string]: any;
+  /**
+   * Use the `deploymentConfig` constructor parameter to set the resource group instead.
+   */
+  'AI-Resource-Group'?: never;
+}
+
 /**
  * Request options for orchestration.
  */
@@ -828,9 +846,9 @@ export interface EmbeddingData {
    */
   object: 'embedding';
   /**
-   * The embedding vector, either as a number array or base64-encoded string.
+   * The embedding vector, either as a number array, a base64-encoded string, or multiple formats in case multiple output formats were requested.
    */
-  embedding: number[] | string;
+  embedding: Embedding;
   /**
    * The index of the embedding in the list of embeddings.
    */
diff --git a/packages/orchestration/src/spec/api.yaml b/packages/orchestration/src/spec/api.yaml
index c21b9b471..f71306db8 100644
--- a/packages/orchestration/src/spec/api.yaml
+++ b/packages/orchestration/src/spec/api.yaml
@@ -40,6 +40,9 @@ paths:
       summary: orchestrated completion inference
       description: Run an orchestrated completion inference request
       operationId: orchestration.v2.endpoints.create
+      parameters:
+        - $ref: '#/components/parameters/AIResourceGroup'
+        - $ref: '#/components/parameters/AIObjectStoreSecretName'
       requestBody:
         required: true
         content:
@@ -82,12 +85,146 @@ paths:
             application/json:
               schema:
                 $ref: '#/components/schemas/EmbeddingsPostResponse'
+              examples:
+                array_embeddings:
+                  summary: Array format (single encoding_format)
+                  description: Standard response format when a single encoding format is requested. Used by OpenAI, AWS Bedrock, VertexAI, Nvidia, and Cohere with single format.
+                  value:
+                    request_id: 'd4a67ea1-2bf9-4df7-8105-d48203ccff76'
+                    final_result:
+                      object: 'list'
+                      data:
+                        - object: 'embedding'
+                          embedding:
+                            - 0.015282119
+                            - 0.013516456
+                            - 0.002541946
+                            - -0.010837519
+                          index: 0
+                        - object: 'embedding'
+                          embedding:
+                            - 0.035031624
+                            - -0.0077586817
+                            - 0.018221147
+                            - 0.00446712
+                          index: 1
+                      model: 'text-embedding-ada-002'
+                      usage:
+                        prompt_tokens: 5
+                        total_tokens: 5
+                base64_embeddings:
+                  summary: Base64 string format (single encoding_format)
+                  description: Response format when base64 encoding format is requested. The embedding is returned as a base64-encoded string.
+                  value:
+                    request_id: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890'
+                    final_result:
+                      object: 'list'
+                      data:
+                        - object: 'embedding'
+                          embedding: '2mF6PCB0XTzHliY72Y8xvOalM6uLmZjLyu7ze9=='
+                          index: 0
+                        - object: 'embedding'
+                          embedding: '8nB7QDB1YUzImiZ82Z9ywPbmN7vMnajMzv8zf+=='
+                          index: 1
+                      model: 'text-embedding-3-large'
+                      usage:
+                        prompt_tokens: 5
+                        total_tokens: 5
+                cohere_multi_type_embeddings:
+                  summary: Dictionary format (multiple encoding_formats - Cohere only)
+                  description: Response format when multiple encoding formats are requested (Cohere-specific feature). Each result contains a dictionary mapping format names to their respective embeddings.
+                  value:
+                    request_id: 'f5ba36c6-a687-4e0c-b7e4-26b623256baf'
+                    final_result:
+                      object: 'list'
+                      data:
+                        - object: 'embedding'
+                          embedding:
+                            float:
+                              - 0.015282119
+                              - 0.013516456
+                              - 0.002541946
+                              - -0.010837519
+                            uint8:
+                              - 142
+                              - 137
+                              - 124
+                              - 106
+                          index: 0
+                        - object: 'embedding'
+                          embedding:
+                            float:
+                              - 0.035031624
+                              - -0.0077586817
+                              - 0.018221147
+                              - 0.00446712
+                            uint8:
+                              - 151
+                              - 119
+                              - 133
+                              - 125
+                          index: 1
+                      model: 'cohere--single-serving-embed'
+                      usage:
+                        prompt_tokens: 12
+                        total_tokens: 12
+                cohere_mixed_types_embeddings:
+                  summary: Dictionary format with mixed types (Cohere only)
+                  description: Response format when multiple encoding formats of different types are requested (e.g., float arrays and base64 strings).
+                  value:
+                    request_id: '11c785a2-09c7-4b12-b86e-3a3ff7ece72e'
+                    final_result:
+                      object: 'dict'
+                      data:
+                        - object: 'embedding'
+                          embedding:
+                            float:
+                              - 0.015282119
+                              - 0.013516456
+                              - 0.002541946
+                              - -0.010837519
+                            base64: '2mF6PCB0XTzHliY72Y8xvOalM6uLmZjLyu7ze9=='
+                          index: 0
+                        - object: 'embedding'
+                          embedding:
+                            float:
+                              - 0.035031624
+                              - -0.0077586817
+                              - 0.018221147
+                              - 0.00446712
+                            base64: '8nB7QDB1YUzImiZ82Z9ywPbmN7vMnajMzv8zf+=='
+                          index: 1
+                      model: 'cohere--single-serving-embed'
+                      usage:
+                        prompt_tokens: 12
+                        total_tokens: 12
         '400':
           $ref: '#/components/responses/BadRequest'
         default:
           $ref: '#/components/responses/CommonError'
 
 components:
+  parameters:
+    AIResourceGroup:
+      in: header
+      name: AI-Resource-Group
+      description: 'Feedback specific - resource group of the feedback service object store secret.'
+      required: false
+      schema:
+        maxLength: 253
+        minLength: 3
+        pattern: ^[a-zA-Z0-9][a-zA-Z0-9.-]{1,251}[a-zA-Z0-9]$
+        type: string
+    AIObjectStoreSecretName:
+      in: header
+      name: AI-Object-Store-Secret-Name
+      description: 'Feedback specific - name of the feedback service object store secret.'
+      required: false
+      schema:
+        maxLength: 233
+        minLength: 1
+        pattern: ^[a-z0-9]([-a-z0-9]*[a-z0-9])?(.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*$
+        type: string
   securitySchemes:
     Oauth2:
       type: oauth2
@@ -135,7 +272,17 @@ components:
           $ref: '#/components/schemas/EmbeddingsInputText'
         type:
           type: string
-          enum: ['text', 'document', 'query']
+          enum:
+            [
+              'text',
+              'document',
+              'query',
+              'search_document',
+              'search_query',
+              'classification',
+              'clustering',
+              'image'
+            ]
     EmbeddingsInputText:
       oneOf:
         - type: string
@@ -193,6 +340,11 @@ components:
           default: 2
           minimum: 0
           maximum: 5
+    EncodingFormat:
+      type: string
+      enum: [float, base64, binary, int8, uint8, ubinary]
+      description: Encoding format for embeddings.
+
     EmbeddingsModelParams:
       type: object
       description: Additional parameters for generating input's embeddings. Default values are used for mandatory parameters.
@@ -203,9 +355,14 @@ components:
           description: >
             The number of dimensions the resulting output embeddings should have.
         encoding_format:
-          type: string
-          enum: [float, base64, binary]
+          oneOf:
+            - $ref: '#/components/schemas/EncodingFormat'
+            - type: array
+              items:
+                $ref: '#/components/schemas/EncodingFormat'
+              minItems: 1
           description: >
+            The format to return the embeddings in. Can be a single format or an array of formats.
             OpenAI's spec allows for 'float' and 'base64' encoding formats.
         normalize:
           type: boolean
@@ -282,14 +439,52 @@ components:
         index:
           type: integer
           description: The index of the embedding in the list of embeddings.
-    Embedding:
-      oneOf:
-        - type: array
+    EmbeddingFloatArray:
+      type: array
+      items:
+        type: number
+      description: 'An array of floating point numbers representing the embedding. '
+    EmbeddingBase64String:
+      type: string
+      description: 'A single base64 string representing the embedding.'
+    EmbeddingMultiFormat:
+      type: object
+      description: 'A dictionary mapping encoding format names to their embeddings. Used when multiple encoding formats are requested (Cohere-specific).'
+      additionalProperties: false
+      properties:
+        float:
+          type: array
           items:
             type: number
-          description: 'An array of numbers representing the embedding.'
-        - type: string
-          description: 'A single base64 string representing the embedding.'
+          description: 'Float encoding format - array of floating point numbers'
+        int8:
+          type: array
+          items:
+            type: integer
+          description: 'Int8 encoding format - array of 8-bit integers'
+        uint8:
+          type: array
+          items:
+            type: integer
+          description: 'Uint8 encoding format - array of unsigned 8-bit integers'
+        base64:
+          type: string
+          description: 'Base64 encoding format - base64 encoded string'
+        binary:
+          type: array
+          items:
+            type: integer
+          description: 'Binary encoding format - array of integers'
+        ubinary:
+          type: array
+          items:
+            type: integer
+          description: 'Ubinary encoding format - array of unsigned integers'
+    Embedding:
+      oneOf:
+        - $ref: '#/components/schemas/EmbeddingFloatArray'
+        - $ref: '#/components/schemas/EmbeddingBase64String'
+        - $ref: '#/components/schemas/EmbeddingMultiFormat'
 
     # Chat Completion Schemas
     ChatMessages:
@@ -1492,6 +1687,12 @@ components:
               type: boolean
               default: false
               description: controls whether the input to the grounding module will be masked with the configuration supplied in the masking module
+        mask_file_input_method:
+          description: Type of masking method to be used for file inputs. Required if file inputs are provided.
+          type: string
+          enum:
+            - anonymization
+            - skip
 
     DPIEntityConfig:
       oneOf: