[Search] Fix Add Inference Endpoint API call

x-pack/platform/packages/shared/ml/trained_models_utils/src/constants/trained_models.ts

@@ -223,7 +223,7 @@ export interface GetModelDownloadConfigOptions {
 }
 
 export interface LocalInferenceServiceSettings {
-  service: 'elser' | 'elasticsearch';
+  service: 'elasticsearch';
   service_settings: {
     num_allocations: number;
     num_threads: number;

x-pack/platform/plugins/shared/index_management/public/hooks/use_details_page_mappings_model_management.ts

@@ -33,7 +33,7 @@ const getCustomInferenceIdMap = (
     const inferenceEntry = isLocalModel(model)
       ? {
           trainedModelId: model.service_settings.model_id,
-          isDeployable: model.service === Service.elser || model.service === Service.elasticsearch,
+          isDeployable: model.service === Service.elasticsearch,
           isDeployed: modelStatsById[model.inference_id]?.state === 'started',
           isDownloading: Boolean(downloadStates[model.service_settings.model_id]),
           modelStats: modelStatsById[model.inference_id],

x-pack/platform/plugins/shared/inference_endpoint/server/routes/index.ts

@@ -8,12 +8,15 @@
 import type { IKibanaResponse, IRouter, RequestHandlerContext } from '@kbn/core/server';
 import { Logger } from '@kbn/logging';
 import { schema } from '@kbn/config-schema';
-import { InferenceInferenceEndpointInfo } from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
+import {
+  InferenceInferenceEndpointInfo,
+  InferenceTaskType,
+} from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
 
 import { InferenceServicesGetResponse } from '../types';
 import { INFERENCE_ENDPOINT_INTERNAL_API_VERSION } from '../../common';
-import { addInferenceEndpoint } from '../lib/add_inference_endpoint';
 import { inferenceEndpointExists } from '../lib/inference_endpoint_exists';
+import { unflattenObject } from '../utils/unflatten_object';
 
 const inferenceEndpointSchema = schema.object({
   config: schema.object({
@@ -90,7 +93,20 @@ export const getInferenceServicesRoute = (
           const esClient = (await context.core).elasticsearch.client.asCurrentUser;
 
           const { config, secrets } = request.body;
-          const result = await addInferenceEndpoint(esClient, config, secrets);
+
+          const serviceSettings = {
+            ...unflattenObject(config?.providerConfig ?? {}),
+            ...unflattenObject(secrets?.providerSecrets ?? {}),
+          };
+
+          const result = await esClient.inference.put({
+            inference_id: config?.inferenceId ?? '',
+            task_type: config?.taskType as InferenceTaskType,
+            inference_config: {
+              service: config?.provider,
+              service_settings: serviceSettings,
+            },
+          });
 
           return response.ok({
             body: result,