[Enterprise Search] Remove MlTrainedModelConfigWithDefined interface (#160950)

Issue: https://github.com/elastic/enterprise-search-team/issues/4432

## Summary
This PR resolves the technical debt mentioned in [this
issue](https://github.com/elastic/enterprise-search-team/issues/4432).
The `MlTrainedModelConfig` now includes the `fully_defined` attribute,
allowing us to remove the `MlTrainedModelConfigWithDefined` interface
from Kibana.

### Checklist
- [x] Checked whether the existing [Unit or functional
tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html)
are passing.

### For maintainers

- [ ] This was checked for breaking API changes and was [labeled
appropriately](https://www.elastic.co/guide/en/kibana/master/contributing.html#kibana-release-notes-process)

---------

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

x-pack/plugins/enterprise_search/common/types/ml.ts

@@ -5,8 +5,6 @@
  * 2.0.
  */
 
-import { MlTrainedModelConfig } from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
-
 export enum MlModelDeploymentState {
   NotDeployed = '',
   Downloading = 'downloading',
@@ -24,9 +22,3 @@ export interface MlModelDeploymentStatus {
   targetAllocationCount: number;
   threadsPerAllocation: number;
 }
-
-// TODO - we can remove this extension once the new types are available
-// in kibana that includes this field
-export interface MlTrainedModelConfigWithDefined extends MlTrainedModelConfig {
-  fully_defined?: boolean;
-}

x-pack/plugins/enterprise_search/server/lib/ml/get_ml_model_deployment_status.ts

@@ -11,11 +11,7 @@ import {
 } from '@elastic/elasticsearch/lib/api/typesWithBodyKey';
 import { MlTrainedModels } from '@kbn/ml-plugin/server';
 
-import {
-  MlModelDeploymentStatus,
-  MlModelDeploymentState,
-  MlTrainedModelConfigWithDefined,
-} from '../../../common/types/ml';
+import { MlModelDeploymentStatus, MlModelDeploymentState } from '../../../common/types/ml';
 
 import { isNotFoundExceptionError } from './ml_model_deployment_common';
 
@@ -41,8 +37,8 @@ export const getMlModelDeploymentStatus = async (
     }
 
     const firstTrainedModelConfig = modelDetailsResponse.trained_model_configs
-      ? (modelDetailsResponse.trained_model_configs[0] as MlTrainedModelConfigWithDefined)
-      : (undefined as unknown as MlTrainedModelConfigWithDefined);
+      ? modelDetailsResponse.trained_model_configs[0]
+      : undefined;
 
     // are we downloaded?
     if (!firstTrainedModelConfig || !firstTrainedModelConfig.fully_defined) {