[ML] Support adding inference_id in a flyout (#180330)

## Summary

* Creates a new package - ` @kbn/inference_integration_flyout` 
* Above package has implementation for adding new inference endpoint id,
including Elastic, third party integration and instructions to upload
via Eland python client, in a flyout.
* The above package is used for supporting semantic_text feature and is
accessed via`add a new inference endpoint` button

## Screen Recording


dbd36634-bd4a-49f1-b1d5-d7b6c90444bc


### Checklist


- [ ] Any text added follows [EUI's writing
guidelines](https://elastic.github.io/eui/#/guidelines/writing), uses
sentence case text and includes [i18n
support](https://github.com/elastic/kibana/blob/main/packages/kbn-i18n/README.md)
- [ ] [Unit or functional
tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html)
were updated or added to match the most common scenarios
- [ ] [Flaky Test
Runner](https://ci-stats.kibana.dev/trigger_flaky_test_runner/1) was
used on any tests changed

---------

Co-authored-by: kibanamachine <42973632+kibanamachine@users.noreply.github.com>

x-pack/plugins/ml/server/models/model_management/models_provider.ts

@@ -9,7 +9,11 @@ import Boom from '@hapi/boom';
 import type { IScopedClusterClient } from '@kbn/core/server';
 import { JOB_MAP_NODE_TYPES, type MapElements } from '@kbn/ml-data-frame-analytics-utils';
 import { flatten } from 'lodash';
-import type { TransformGetTransformTransformSummary } from '@elastic/elasticsearch/lib/api/types';
+import type {
+  InferenceModelConfig,
+  InferenceTaskType,
+  TransformGetTransformTransformSummary,
+} from '@elastic/elasticsearch/lib/api/types';
 import type { IndexName, IndicesIndexState } from '@elastic/elasticsearch/lib/api/types';
 import type {
   IngestPipeline,
@@ -581,4 +585,21 @@ export class ModelsProvider {
     await mlSavedObjectService.updateTrainedModelsSpaces([modelId], ['*'], []);
     return putResponse;
   }
+  /**
+   * Puts the requested Inference endpoint id into elasticsearch, triggering elasticsearch to create the inference endpoint id
+   * @param inferenceId - Inference Endpoint Id
+   * @param taskType - Inference Task type. Either sparse_embedding or text_embedding
+   * @param modelConfig - Model configuration based on service type
+   */
+  async createInferenceEndpoint(
+    inferenceId: string,
+    taskType: InferenceTaskType,
+    modelConfig: InferenceModelConfig
+  ) {
+    return await this._client.asCurrentUser.inference.putModel({
+      inference_id: inferenceId,
+      task_type: taskType,
+      model_config: modelConfig,
+    });
+  }
 }