Remove node info from ML team serverless responses

specification/ml/_types/Datafeed.ts

@@ -140,6 +140,9 @@ export enum DatafeedState {
 export class DatafeedStats {
   assignment_explanation?: string
   datafeed_id: Id
+  /**
+   * @availability stack
+   */
   node?: DiscoveryNode
   state: DatafeedState
   timing_stats: DatafeedTimingStats

specification/ml/_types/DataframeAnalytics.ts

@@ -332,7 +332,10 @@ export class DataframeAnalytics {
   id: Id
   /** An object describing memory usage of the analytics. It is present only after the job is started and memory usage is reported. */
   memory_usage: DataframeAnalyticsStatsMemoryUsage
-  /** Contains properties for the node that runs the job. This information is available only for running jobs. */
+  /**
+   * Contains properties for the node that runs the job. This information is available only for running jobs.
+   * @availability stack
+   */
   node?: NodeAttributes
   /** The progress report of the data frame analytics job by phase. */
   progress: DataframeAnalyticsStatsProgress[]

specification/ml/_types/Job.ts

@@ -109,6 +109,9 @@ export class JobStats {
   forecasts_stats: JobForecastStatistics
   job_id: string
   model_size_stats: ModelSizeStats
+  /**
+   * @availability stack
+   */
   node?: DiscoveryNode
   open_time?: DateTime
   state: JobState

specification/ml/_types/Model.ts

@@ -49,6 +49,9 @@ export class ModelSnapshotUpgrade {
   job_id: Id
   snapshot_id: Id
   state: SnapshotUpgradeState
+  /**
+   * @availability stack
+   */
   node: DiscoveryNode
   assignment_explanation: string
 }

specification/ml/_types/TrainedModel.ts

@@ -71,7 +71,10 @@ export class TrainedModelDeploymentStats {
   inference_count: integer
   /** The unique identifier for the trained model. */
   model_id: Id
-  /** The deployent stats for each node that currently has the model allocated. */
+  /**
+   * The deployment stats for each node that currently has the model allocated.
+   * In serverless, stats are reported for a single unnamed virtual node.
+   */
   nodes: TrainedModelDeploymentNodesStats
   /** The number of allocations requested. */
   number_of_allocations: integer
@@ -136,7 +139,10 @@ export class TrainedModelDeploymentNodesStats {
   inference_count: integer
   /** The epoch time stamp of the last inference call for the model on this node. */
   last_access: long
-  /** Information pertaining to the node. */
+  /**
+   * Information pertaining to the node.
+   * @availability stack
+   */
   node: DiscoveryNode
   /**
    * The number of allocations assigned to this node.

specification/ml/open_job/MlOpenJobResponse.ts

@@ -22,6 +22,10 @@ import { NodeId } from '@_types/common'
 export class Response {
   body: {
     opened: boolean
+    /**
+     * The ID of the node that the job was started on. In serverless this will be the "serverless".
+     * If the job is allowed to open lazily and has not yet been assigned to a node, this value is an empty string.
+     */
     node: NodeId
   }
 }

specification/ml/start_data_frame_analytics/MlStartDataFrameAnalyticsResponse.ts

@@ -22,7 +22,13 @@ import { NodeId } from '@_types/common'
 export class Response {
   body: {
     acknowledged: boolean
-    /** The ID of the node that the job was started on. If the job is allowed to open lazily and has not yet been assigned to a node, this value is an empty string. */
+    /**
+     * The ID of the node that the job was started on. If the job is allowed to open lazily and has not yet been assigned to a node, this value is an empty string.
+     * The node ID of the node the job has been assigned to, or
+     * an empty string if it hasn't been assigned to a node. In
+     * serverless if the job has been assigned to run then the
+     * node ID will be "serverless".
+     */
     node: NodeId
   }
 }

specification/ml/start_datafeed/MlStartDatafeedResponse.ts

@@ -22,8 +22,8 @@ import { NodeIds } from '@_types/common'
 export class Response {
   body: {
     /**
-     * The ID of the node that the datafeed was started on. If the datafeed is allowed to open lazily and has not yet
-     * been assigned to a node, this value is an empty string.
+     * The ID of the node that the job was started on. In serverless this will be the "serverless".
+     * If the job is allowed to open lazily and has not yet been assigned to a node, this value is an empty string.
      */
     node: NodeIds
     /**

specification/ml/upgrade_job_snapshot/MlUpgradeJobSnapshotResponse.ts

@@ -21,7 +21,9 @@ import { NodeId } from '@_types/common'
 
 export class Response {
   body: {
-    /** The ID of the assigned node for the upgrade task if it is still running. */
+    /**
+     * The ID of the node that the upgrade task was started on if it is still running. In serverless this will be the "serverless".
+     */
     node: NodeId
     /** When true, this means the task is complete. When false, it is still running. */
     completed: boolean

specification/transform/get_transform_stats/types.ts

@@ -32,6 +32,9 @@ export class TransformStats {
   checkpointing: Checkpointing
   health?: TransformStatsHealth
   id: Id
+  /**
+   * @availability stack
+   */
   node?: NodeAttributes
   reason?: string
   state: string