diff --git a/output/openapi/elasticsearch-openapi.json b/output/openapi/elasticsearch-openapi.json
index 2bfba13f48..b8066625f9 100644
--- a/output/openapi/elasticsearch-openapi.json
+++ b/output/openapi/elasticsearch-openapi.json
@@ -73574,6 +73574,9 @@
           },
           "version": {
             "$ref": "#/components/schemas/_types:VersionString"
+          },
+          "_meta": {
+            "$ref": "#/components/schemas/_types:Metadata"
           }
         },
         "required": [
@@ -73961,7 +73964,11 @@
             "$ref": "#/components/schemas/_types:Id"
           },
           "node": {
-            "$ref": "#/components/schemas/ml._types:DiscoveryNode"
+            "description": "For started datafeeds only, this information pertains to the node upon which the datafeed is started.",
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ml._types:DiscoveryNode"
+            }
           },
           "state": {
             "$ref": "#/components/schemas/ml._types:DatafeedState"
@@ -73975,8 +73982,7 @@
         },
         "required": [
           "datafeed_id",
-          "state",
-          "timing_stats"
+          "state"
         ]
       },
       "ml._types:DiscoveryNode": {
@@ -74355,7 +74361,11 @@
             "$ref": "#/components/schemas/ml._types:ModelSizeStats"
           },
           "node": {
-            "$ref": "#/components/schemas/ml._types:DiscoveryNode"
+            "description": "Contains properties for the node that runs the job.\nThis information is available only for open jobs.",
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ml._types:DiscoveryNode"
+            }
           },
           "open_time": {
             "$ref": "#/components/schemas/_types:DateTime"
@@ -74958,7 +74968,10 @@
             "$ref": "#/components/schemas/ml._types:SnapshotUpgradeState"
           },
           "node": {
-            "$ref": "#/components/schemas/ml._types:DiscoveryNode"
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ml._types:DiscoveryNode"
+            }
           },
           "assignment_explanation": {
             "type": "string"
@@ -75960,6 +75973,9 @@
       "ml._types:TrainedModelDeploymentStats": {
         "type": "object",
         "properties": {
+          "adaptive_allocations": {
+            "$ref": "#/components/schemas/ml._types:AdaptiveAllocationsSettings"
+          },
           "allocation_status": {
             "$ref": "#/components/schemas/ml._types:TrainedModelDeploymentAllocationStatus"
           },
@@ -75991,6 +76007,9 @@
             "description": "The number of allocations requested.",
             "type": "number"
           },
+          "priority": {
+            "$ref": "#/components/schemas/ml._types:TrainingPriority"
+          },
           "queue_capacity": {
             "description": "The number of inference requests that can be queued before new requests are rejected.",
             "type": "number"
@@ -76021,18 +76040,28 @@
         "required": [
           "allocation_status",
           "deployment_id",
-          "error_count",
-          "inference_count",
           "model_id",
           "nodes",
-          "number_of_allocations",
-          "queue_capacity",
-          "rejected_execution_count",
-          "reason",
+          "priority",
           "start_time",
-          "state",
-          "threads_per_allocation",
-          "timeout_count"
+          "state"
+        ]
+      },
+      "ml._types:AdaptiveAllocationsSettings": {
+        "type": "object",
+        "properties": {
+          "enabled": {
+            "type": "boolean"
+          },
+          "min_number_of_allocations": {
+            "type": "number"
+          },
+          "max_number_of_allocations": {
+            "type": "number"
+          }
+        },
+        "required": [
+          "enabled"
         ]
       },
       "ml._types:TrainedModelDeploymentAllocationStatus": {
@@ -76070,6 +76099,12 @@
           "average_inference_time_ms": {
             "$ref": "#/components/schemas/_types:DurationValueUnitFloatMillis"
           },
+          "average_inference_time_ms_last_minute": {
+            "$ref": "#/components/schemas/_types:DurationValueUnitFloatMillis"
+          },
+          "average_inference_time_ms_excluding_cache_hits": {
+            "$ref": "#/components/schemas/_types:DurationValueUnitFloatMillis"
+          },
           "error_count": {
             "description": "The number of errors when evaluating the trained model.",
             "type": "number"
@@ -76078,12 +76113,22 @@
             "description": "The total number of inference calls made against this node for this model.",
             "type": "number"
           },
+          "inference_cache_hit_count": {
+            "type": "number"
+          },
+          "inference_cache_hit_count_last_minute": {
+            "type": "number"
+          },
           "last_access": {
             "description": "The epoch time stamp of the last inference call for the model on this node.",
             "type": "number"
           },
           "node": {
-            "$ref": "#/components/schemas/ml._types:DiscoveryNode"
+            "description": "Information pertaining to the node.",
+            "type": "object",
+            "additionalProperties": {
+              "$ref": "#/components/schemas/ml._types:DiscoveryNode"
+            }
           },
           "number_of_allocations": {
             "description": "The number of allocations assigned to this node.",
@@ -76093,6 +76138,9 @@
             "description": "The number of inference requests queued to be processed.",
             "type": "number"
           },
+          "peak_throughput_per_minute": {
+            "type": "number"
+          },
           "rejection_execution_count": {
             "description": "The number of inference requests that were not processed because the queue was full.",
             "type": "number"
@@ -76107,24 +76155,17 @@
             "description": "The number of threads used by each allocation during inference.",
             "type": "number"
           },
+          "throughput_last_minute": {
+            "type": "number"
+          },
           "timeout_count": {
             "description": "The number of inference requests that timed out before being processed.",
             "type": "number"
           }
         },
         "required": [
-          "average_inference_time_ms",
-          "error_count",
-          "inference_count",
-          "last_access",
-          "node",
-          "number_of_allocations",
-          "number_of_pending_requests",
-          "rejection_execution_count",
-          "routing_state",
-          "start_time",
-          "threads_per_allocation",
-          "timeout_count"
+          "peak_throughput_per_minute",
+          "routing_state"
         ]
       },
       "ml._types:TrainedModelAssignmentRoutingTable": {
@@ -76147,10 +76188,7 @@
           }
         },
         "required": [
-          "reason",
-          "routing_state",
-          "current_allocations",
-          "target_allocations"
+          "routing_state"
         ]
       },
       "ml._types:RoutingState": {
@@ -76163,6 +76201,13 @@
           "stopping"
         ]
       },
+      "ml._types:TrainingPriority": {
+        "type": "string",
+        "enum": [
+          "normal",
+          "low"
+        ]
+      },
       "ml._types:DeploymentAssignmentState": {
         "type": "string",
         "enum": [
@@ -77167,13 +77212,6 @@
           "field_names"
         ]
       },
-      "ml._types:TrainingPriority": {
-        "type": "string",
-        "enum": [
-          "normal",
-          "low"
-        ]
-      },
       "ml._types:TrainedModelAssignment": {
         "type": "object",
         "properties": {
diff --git a/output/openapi/elasticsearch-serverless-openapi.json b/output/openapi/elasticsearch-serverless-openapi.json
index c81e5061fa..c1ef877196 100644
--- a/output/openapi/elasticsearch-serverless-openapi.json
+++ b/output/openapi/elasticsearch-serverless-openapi.json
@@ -48773,6 +48773,9 @@
           },
           "version": {
             "$ref": "#/components/schemas/_types:VersionString"
+          },
+          "_meta": {
+            "$ref": "#/components/schemas/_types:Metadata"
           }
         },
         "required": [
@@ -49508,8 +49511,7 @@
         },
         "required": [
           "datafeed_id",
-          "state",
-          "timing_stats"
+          "state"
         ]
       },
       "ml._types:DatafeedTimingStats": {
@@ -50893,6 +50895,9 @@
       "ml._types:TrainedModelDeploymentStats": {
         "type": "object",
         "properties": {
+          "adaptive_allocations": {
+            "$ref": "#/components/schemas/ml._types:AdaptiveAllocationsSettings"
+          },
           "allocation_status": {
             "$ref": "#/components/schemas/ml._types:TrainedModelDeploymentAllocationStatus"
           },
@@ -50924,6 +50929,9 @@
             "description": "The number of allocations requested.",
             "type": "number"
           },
+          "priority": {
+            "$ref": "#/components/schemas/ml._types:TrainingPriority"
+          },
           "queue_capacity": {
             "description": "The number of inference requests that can be queued before new requests are rejected.",
             "type": "number"
@@ -50954,18 +50962,28 @@
         "required": [
           "allocation_status",
           "deployment_id",
-          "error_count",
-          "inference_count",
           "model_id",
           "nodes",
-          "number_of_allocations",
-          "queue_capacity",
-          "rejected_execution_count",
-          "reason",
+          "priority",
           "start_time",
-          "state",
-          "threads_per_allocation",
-          "timeout_count"
+          "state"
+        ]
+      },
+      "ml._types:AdaptiveAllocationsSettings": {
+        "type": "object",
+        "properties": {
+          "enabled": {
+            "type": "boolean"
+          },
+          "min_number_of_allocations": {
+            "type": "number"
+          },
+          "max_number_of_allocations": {
+            "type": "number"
+          }
+        },
+        "required": [
+          "enabled"
         ]
       },
       "ml._types:TrainedModelDeploymentAllocationStatus": {
@@ -51003,6 +51021,12 @@
           "average_inference_time_ms": {
             "$ref": "#/components/schemas/_types:DurationValueUnitFloatMillis"
           },
+          "average_inference_time_ms_last_minute": {
+            "$ref": "#/components/schemas/_types:DurationValueUnitFloatMillis"
+          },
+          "average_inference_time_ms_excluding_cache_hits": {
+            "$ref": "#/components/schemas/_types:DurationValueUnitFloatMillis"
+          },
           "error_count": {
             "description": "The number of errors when evaluating the trained model.",
             "type": "number"
@@ -51011,6 +51035,12 @@
             "description": "The total number of inference calls made against this node for this model.",
             "type": "number"
           },
+          "inference_cache_hit_count": {
+            "type": "number"
+          },
+          "inference_cache_hit_count_last_minute": {
+            "type": "number"
+          },
           "last_access": {
             "description": "The epoch time stamp of the last inference call for the model on this node.",
             "type": "number"
@@ -51023,6 +51053,9 @@
             "description": "The number of inference requests queued to be processed.",
             "type": "number"
           },
+          "peak_throughput_per_minute": {
+            "type": "number"
+          },
           "rejection_execution_count": {
             "description": "The number of inference requests that were not processed because the queue was full.",
             "type": "number"
@@ -51037,23 +51070,17 @@
             "description": "The number of threads used by each allocation during inference.",
             "type": "number"
           },
+          "throughput_last_minute": {
+            "type": "number"
+          },
           "timeout_count": {
             "description": "The number of inference requests that timed out before being processed.",
             "type": "number"
           }
         },
         "required": [
-          "average_inference_time_ms",
-          "error_count",
-          "inference_count",
-          "last_access",
-          "number_of_allocations",
-          "number_of_pending_requests",
-          "rejection_execution_count",
-          "routing_state",
-          "start_time",
-          "threads_per_allocation",
-          "timeout_count"
+          "peak_throughput_per_minute",
+          "routing_state"
         ]
       },
       "ml._types:TrainedModelAssignmentRoutingTable": {
@@ -51076,10 +51103,7 @@
           }
         },
         "required": [
-          "reason",
-          "routing_state",
-          "current_allocations",
-          "target_allocations"
+          "routing_state"
         ]
       },
       "ml._types:RoutingState": {
@@ -51092,6 +51116,13 @@
           "stopping"
         ]
       },
+      "ml._types:TrainingPriority": {
+        "type": "string",
+        "enum": [
+          "normal",
+          "low"
+        ]
+      },
       "ml._types:DeploymentAssignmentState": {
         "type": "string",
         "enum": [
@@ -52023,13 +52054,6 @@
           }
         ]
       },
-      "ml._types:TrainingPriority": {
-        "type": "string",
-        "enum": [
-          "normal",
-          "low"
-        ]
-      },
       "ml._types:TrainedModelAssignment": {
         "type": "object",
         "properties": {
diff --git a/output/schema/schema-serverless.json b/output/schema/schema-serverless.json
index a74bca737c..442466436e 100644
--- a/output/schema/schema-serverless.json
+++ b/output/schema/schema-serverless.json
@@ -94919,7 +94919,7 @@
         "name": "CategorizationStatus",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/Model.ts#L83-L86"
+      "specLocation": "ml/_types/Model.ts#L84-L87"
     },
     {
       "kind": "enum",
@@ -95041,7 +95041,7 @@
         "name": "DeploymentAllocationState",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L273-L286"
+      "specLocation": "ml/_types/TrainedModel.ts#L297-L310"
     },
     {
       "kind": "enum",
@@ -95067,7 +95067,7 @@
         "name": "DeploymentAssignmentState",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L288-L305"
+      "specLocation": "ml/_types/TrainedModel.ts#L312-L329"
     },
     {
       "kind": "enum",
@@ -95203,7 +95203,7 @@
         "name": "MemoryStatus",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/Model.ts#L88-L92"
+      "specLocation": "ml/_types/Model.ts#L89-L93"
     },
     {
       "kind": "type_alias",
@@ -95263,7 +95263,7 @@
         "name": "RoutingState",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L347-L368"
+      "specLocation": "ml/_types/TrainedModel.ts#L371-L392"
     },
     {
       "kind": "enum",
@@ -95303,7 +95303,7 @@
         "name": "SnapshotUpgradeState",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/Model.ts#L94-L99"
+      "specLocation": "ml/_types/Model.ts#L95-L100"
     },
     {
       "kind": "enum",
@@ -95344,7 +95344,7 @@
         "name": "TrainedModelType",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L257-L271"
+      "specLocation": "ml/_types/TrainedModel.ts#L281-L295"
     },
     {
       "kind": "enum",
@@ -95360,7 +95360,7 @@
         "name": "TrainingPriority",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L307-L310"
+      "specLocation": "ml/_types/TrainedModel.ts#L331-L334"
     },
     {
       "codegenNames": [
@@ -128095,9 +128095,20 @@
               "namespace": "_types"
             }
           }
+        },
+        {
+          "name": "_meta",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "Metadata",
+              "namespace": "_types"
+            }
+          }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L305-L321"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L306-L323"
     },
     {
       "kind": "interface",
@@ -128149,7 +128160,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L83-L100",
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L84-L101",
       "variants": {
         "kind": "container"
       }
@@ -128192,7 +128203,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L226-L235"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L227-L236"
     },
     {
       "kind": "interface",
@@ -128427,7 +128438,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L133-L212"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L134-L213"
     },
     {
       "kind": "interface",
@@ -128497,7 +128508,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L245-L257",
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L246-L258",
       "variants": {
         "kind": "container"
       }
@@ -128556,7 +128567,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L259-L266"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L260-L267"
     },
     {
       "kind": "interface",
@@ -128581,7 +128592,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L268-L271"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L269-L272"
     },
     {
       "kind": "interface",
@@ -128665,7 +128676,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L273-L285"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L274-L286"
     },
     {
       "kind": "interface",
@@ -128699,7 +128710,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L287-L292"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L288-L293"
     },
     {
       "kind": "interface",
@@ -128764,7 +128775,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L294-L303"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L295-L304"
     },
     {
       "kind": "interface",
@@ -128850,7 +128861,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L102-L131"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L103-L132"
     },
     {
       "inherits": {
@@ -128891,7 +128902,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L214-L224"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L215-L225"
     },
     {
       "kind": "interface",
@@ -128932,7 +128943,7 @@
         }
       ],
       "shortcutProperty": "includes",
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L237-L243"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L238-L244"
     },
     {
       "kind": "interface",
@@ -129049,7 +129060,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L76-L81"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L77-L82"
     },
     {
       "kind": "interface",
@@ -129109,7 +129120,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L38-L52"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L39-L53"
     },
     {
       "kind": "interface",
@@ -129206,7 +129217,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L323-L343"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L325-L345"
     },
     {
       "kind": "interface",
@@ -129252,7 +129263,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L372-L380",
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L374-L382",
       "variants": {
         "kind": "container"
       }
@@ -129334,7 +129345,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L382-L401"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L384-L403"
     },
     {
       "kind": "interface",
@@ -129512,7 +129523,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L418-L524"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L420-L526"
     },
     {
       "kind": "interface",
@@ -129564,7 +129575,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L562-L567"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L564-L569"
     },
     {
       "kind": "interface",
@@ -129601,7 +129612,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L569-L574"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L571-L576"
     },
     {
       "kind": "interface",
@@ -129656,7 +129667,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L403-L416"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L405-L418"
     },
     {
       "kind": "interface",
@@ -129741,7 +129752,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L526-L560"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L528-L562"
     },
     {
       "kind": "interface",
@@ -129787,7 +129798,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L363-L370"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L365-L372"
     },
     {
       "kind": "interface",
@@ -129854,7 +129865,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L352-L361"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L354-L363"
     },
     {
       "kind": "interface",
@@ -129888,7 +129899,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L345-L350"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L347-L352"
     },
     {
       "kind": "interface",
@@ -129936,7 +129947,7 @@
         {
           "description": "An object that provides statistical information about timing aspect of this datafeed.",
           "name": "timing_stats",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -131356,7 +131367,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/Model.ts#L59-L81"
+      "specLocation": "ml/_types/Model.ts#L60-L82"
     },
     {
       "kind": "interface",
@@ -132377,7 +132388,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L164-L199"
+      "specLocation": "ml/_types/TrainedModel.ts#L188-L223"
     },
     {
       "description": "Inference configuration provided when storing the model config",
@@ -133279,7 +133290,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L201-L204"
+      "specLocation": "ml/_types/TrainedModel.ts#L225-L228"
     },
     {
       "kind": "interface",
@@ -133356,7 +133367,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L206-L214"
+      "specLocation": "ml/_types/TrainedModel.ts#L230-L238"
     },
     {
       "kind": "interface",
@@ -133428,7 +133439,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L216-L230"
+      "specLocation": "ml/_types/TrainedModel.ts#L240-L254"
     },
     {
       "kind": "interface",
@@ -133480,7 +133491,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L232-L239"
+      "specLocation": "ml/_types/TrainedModel.ts#L256-L263"
     },
     {
       "kind": "interface",
@@ -133526,7 +133537,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L248-L255"
+      "specLocation": "ml/_types/TrainedModel.ts#L272-L279"
     },
     {
       "kind": "interface",
@@ -133563,7 +133574,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L241-L246"
+      "specLocation": "ml/_types/TrainedModel.ts#L265-L270"
     },
     {
       "kind": "interface",
@@ -133584,7 +133595,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L416-L418"
+      "specLocation": "ml/_types/TrainedModel.ts#L440-L442"
     },
     {
       "kind": "interface",
@@ -133605,7 +133616,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L420-L422"
+      "specLocation": "ml/_types/TrainedModel.ts#L444-L446"
     },
     {
       "kind": "interface",
@@ -133639,7 +133650,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L424-L433"
+      "specLocation": "ml/_types/TrainedModel.ts#L448-L457"
     },
     {
       "kind": "interface",
@@ -133739,6 +133750,17 @@
         "namespace": "ml._types"
       },
       "properties": [
+        {
+          "name": "adaptive_allocations",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "AdaptiveAllocationsSettings",
+              "namespace": "ml._types"
+            }
+          }
+        },
         {
           "description": "The detailed allocation status for the deployment.",
           "name": "allocation_status",
@@ -133777,7 +133799,7 @@
         {
           "description": "The sum of `error_count` for all nodes in the deployment.",
           "name": "error_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -133789,7 +133811,7 @@
         {
           "description": "The sum of `inference_count` for all nodes in the deployment.",
           "name": "inference_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -133828,7 +133850,7 @@
         {
           "description": "The number of allocations requested.",
           "name": "number_of_allocations",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -133837,10 +133859,21 @@
             }
           }
         },
+        {
+          "name": "priority",
+          "required": true,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "TrainingPriority",
+              "namespace": "ml._types"
+            }
+          }
+        },
         {
           "description": "The number of inference requests that can be queued before new requests are rejected.",
           "name": "queue_capacity",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -133852,7 +133885,7 @@
         {
           "description": "The sum of `rejected_execution_count` for all nodes in the deployment.\nIndividual nodes reject an inference request if the inference queue is full.\nThe queue size is controlled by the `queue_capacity` setting in the start\ntrained model deployment API.",
           "name": "rejected_execution_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -133864,7 +133897,7 @@
         {
           "description": "The reason for the current deployment state. Usually only populated when\nthe model is not deployed to a node.",
           "name": "reason",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -133909,7 +133942,7 @@
         {
           "description": "The number of threads used be each allocation during inference.",
           "name": "threads_per_allocation",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -133921,7 +133954,50 @@
         {
           "description": "The sum of `timeout_count` for all nodes in the deployment.",
           "name": "timeout_count",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "integer",
+              "namespace": "_types"
+            }
+          }
+        }
+      ],
+      "specLocation": "ml/_types/TrainedModel.ts#L61-L104"
+    },
+    {
+      "kind": "interface",
+      "name": {
+        "name": "AdaptiveAllocationsSettings",
+        "namespace": "ml._types"
+      },
+      "properties": [
+        {
+          "name": "enabled",
           "required": true,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "boolean",
+              "namespace": "_builtins"
+            }
+          }
+        },
+        {
+          "name": "min_number_of_allocations",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "integer",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "max_number_of_allocations",
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -133931,7 +134007,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L61-L101"
+      "specLocation": "ml/_types/TrainedModel.ts#L106-L110"
     },
     {
       "kind": "interface",
@@ -133977,7 +134053,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L390-L397"
+      "specLocation": "ml/_types/TrainedModel.ts#L414-L421"
     },
     {
       "kind": "interface",
@@ -133989,7 +134065,48 @@
         {
           "description": "The average time for each inference call to complete on this node.",
           "name": "average_inference_time_ms",
-          "required": true,
+          "required": false,
+          "type": {
+            "generics": [
+              {
+                "kind": "instance_of",
+                "type": {
+                  "name": "UnitFloatMillis",
+                  "namespace": "_types"
+                }
+              }
+            ],
+            "kind": "instance_of",
+            "type": {
+              "name": "DurationValue",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "average_inference_time_ms_last_minute",
+          "required": false,
+          "type": {
+            "generics": [
+              {
+                "kind": "instance_of",
+                "type": {
+                  "name": "UnitFloatMillis",
+                  "namespace": "_types"
+                }
+              }
+            ],
+            "kind": "instance_of",
+            "type": {
+              "name": "DurationValue",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "description": "The average time for each inference call to complete on this node, excluding cache",
+          "name": "average_inference_time_ms_excluding_cache_hits",
+          "required": false,
           "type": {
             "generics": [
               {
@@ -134010,7 +134127,7 @@
         {
           "description": "The number of errors when evaluating the trained model.",
           "name": "error_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134022,11 +134139,33 @@
         {
           "description": "The total number of inference calls made against this node for this model.",
           "name": "inference_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
-              "name": "integer",
+              "name": "long",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "inference_cache_hit_count",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "long",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "inference_cache_hit_count_last_minute",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "long",
               "namespace": "_types"
             }
           }
@@ -134034,7 +134173,7 @@
         {
           "description": "The epoch time stamp of the last inference call for the model on this node.",
           "name": "last_access",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134046,7 +134185,7 @@
         {
           "description": "The number of allocations assigned to this node.",
           "name": "number_of_allocations",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134058,7 +134197,7 @@
         {
           "description": "The number of inference requests queued to be processed.",
           "name": "number_of_pending_requests",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134067,10 +134206,21 @@
             }
           }
         },
+        {
+          "name": "peak_throughput_per_minute",
+          "required": true,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "long",
+              "namespace": "_types"
+            }
+          }
+        },
         {
           "description": "The number of inference requests that were not processed because the queue was full.",
           "name": "rejection_execution_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134094,7 +134244,7 @@
         {
           "description": "The epoch timestamp when the allocation started.",
           "name": "start_time",
-          "required": true,
+          "required": false,
           "type": {
             "generics": [
               {
@@ -134115,7 +134265,18 @@
         {
           "description": "The number of threads used by each allocation during inference.",
           "name": "threads_per_allocation",
-          "required": true,
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "integer",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "throughput_last_minute",
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134127,7 +134288,7 @@
         {
           "description": "The number of inference requests that timed out before being processed.",
           "name": "timeout_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134137,7 +134298,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L132-L162"
+      "specLocation": "ml/_types/TrainedModel.ts#L141-L186"
     },
     {
       "kind": "interface",
@@ -134149,7 +134310,7 @@
         {
           "description": "The reason for the current state. It is usually populated only when the\n`routing_state` is `failed`.",
           "name": "reason",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134173,7 +134334,7 @@
         {
           "description": "Current number of allocations.",
           "name": "current_allocations",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134185,7 +134346,7 @@
         {
           "description": "Target number of allocations.",
           "name": "target_allocations",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -134195,7 +134356,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L370-L388"
+      "specLocation": "ml/_types/TrainedModel.ts#L394-L412"
     },
     {
       "kind": "interface",
@@ -134276,7 +134437,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L103-L123"
+      "specLocation": "ml/_types/TrainedModel.ts#L112-L132"
     },
     {
       "kind": "interface",
@@ -134310,7 +134471,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L125-L130"
+      "specLocation": "ml/_types/TrainedModel.ts#L134-L139"
     },
     {
       "kind": "interface",
@@ -136728,7 +136889,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L399-L414"
+      "specLocation": "ml/_types/TrainedModel.ts#L423-L438"
     },
     {
       "kind": "interface",
@@ -136839,7 +137000,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L312-L345"
+      "specLocation": "ml/_types/TrainedModel.ts#L336-L369"
     },
     {
       "kind": "interface",
diff --git a/output/schema/schema.json b/output/schema/schema.json
index dd7754c0fa..46c9550b12 100644
--- a/output/schema/schema.json
+++ b/output/schema/schema.json
@@ -149461,6 +149461,49 @@
       },
       "specLocation": "migration/post_feature_upgrade/PostFeatureUpgradeResponse.ts#L20-L25"
     },
+    {
+      "kind": "interface",
+      "name": {
+        "name": "AdaptiveAllocationsSettings",
+        "namespace": "ml._types"
+      },
+      "properties": [
+        {
+          "name": "enabled",
+          "required": true,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "boolean",
+              "namespace": "_builtins"
+            }
+          }
+        },
+        {
+          "name": "min_number_of_allocations",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "integer",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "max_number_of_allocations",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "integer",
+              "namespace": "_types"
+            }
+          }
+        }
+      ],
+      "specLocation": "ml/_types/TrainedModel.ts#L106-L110"
+    },
     {
       "kind": "interface",
       "name": {
@@ -151069,7 +151112,7 @@
         "name": "CategorizationStatus",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/Model.ts#L83-L86"
+      "specLocation": "ml/_types/Model.ts#L84-L87"
     },
     {
       "kind": "interface",
@@ -152273,10 +152316,21 @@
           "name": "node",
           "required": false,
           "type": {
-            "kind": "instance_of",
-            "type": {
-              "name": "DiscoveryNode",
-              "namespace": "ml._types"
+            "kind": "dictionary_of",
+            "key": {
+              "kind": "instance_of",
+              "type": {
+                "name": "Id",
+                "namespace": "_types"
+              }
+            },
+            "singleKey": false,
+            "value": {
+              "kind": "instance_of",
+              "type": {
+                "name": "DiscoveryNode",
+                "namespace": "ml._types"
+              }
             }
           }
         },
@@ -152295,7 +152349,7 @@
         {
           "description": "An object that provides statistical information about timing aspect of this datafeed.",
           "name": "timing_stats",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -152661,7 +152715,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L133-L212"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L134-L213"
     },
     {
       "kind": "interface",
@@ -152702,7 +152756,7 @@
         }
       ],
       "shortcutProperty": "includes",
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L237-L243"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L238-L244"
     },
     {
       "kind": "interface",
@@ -152742,7 +152796,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L226-L235"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L227-L236"
     },
     {
       "kind": "interface",
@@ -152794,7 +152848,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L83-L100",
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L84-L101",
       "variants": {
         "kind": "container"
       }
@@ -152867,7 +152921,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L245-L257",
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L246-L258",
       "variants": {
         "kind": "container"
       }
@@ -152926,7 +152980,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L259-L266"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L260-L267"
     },
     {
       "kind": "interface",
@@ -152951,7 +153005,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L268-L271"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L269-L272"
     },
     {
       "kind": "interface",
@@ -153035,7 +153089,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L273-L285"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L274-L286"
     },
     {
       "kind": "interface",
@@ -153069,7 +153123,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L287-L292"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L288-L293"
     },
     {
       "kind": "interface",
@@ -153134,7 +153188,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L294-L303"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L295-L304"
     },
     {
       "kind": "interface",
@@ -153220,7 +153274,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L102-L131"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L103-L132"
     },
     {
       "kind": "interface",
@@ -153261,7 +153315,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L214-L224"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L215-L225"
     },
     {
       "kind": "interface",
@@ -153373,7 +153427,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L323-L343"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L325-L345"
     },
     {
       "kind": "interface",
@@ -153456,7 +153510,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L76-L81"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L77-L82"
     },
     {
       "kind": "interface",
@@ -153541,7 +153595,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L54-L67"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L55-L68"
     },
     {
       "kind": "interface",
@@ -153575,7 +153629,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L69-L74"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L70-L75"
     },
     {
       "kind": "interface",
@@ -153635,7 +153689,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L38-L52"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L39-L53"
     },
     {
       "kind": "interface",
@@ -153681,7 +153735,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L372-L380",
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L374-L382",
       "variants": {
         "kind": "container"
       }
@@ -153730,7 +153784,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L363-L370"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L365-L372"
     },
     {
       "kind": "interface",
@@ -153809,7 +153863,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L382-L401"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L384-L403"
     },
     {
       "kind": "interface",
@@ -153876,7 +153930,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L352-L361"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L354-L363"
     },
     {
       "kind": "interface",
@@ -153931,7 +153985,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L403-L416"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L405-L418"
     },
     {
       "kind": "interface",
@@ -153965,7 +154019,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L345-L350"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L347-L352"
     },
     {
       "kind": "interface",
@@ -154115,9 +154169,20 @@
               "namespace": "_types"
             }
           }
+        },
+        {
+          "name": "_meta",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "Metadata",
+              "namespace": "_types"
+            }
+          }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L305-L321"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L306-L323"
     },
     {
       "kind": "interface",
@@ -154699,7 +154764,7 @@
         "name": "DeploymentAllocationState",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L273-L286"
+      "specLocation": "ml/_types/TrainedModel.ts#L297-L310"
     },
     {
       "kind": "enum",
@@ -154725,7 +154790,7 @@
         "name": "DeploymentAssignmentState",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L288-L305"
+      "specLocation": "ml/_types/TrainedModel.ts#L312-L329"
     },
     {
       "kind": "interface",
@@ -155537,7 +155602,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L216-L230"
+      "specLocation": "ml/_types/TrainedModel.ts#L240-L254"
     },
     {
       "kind": "interface",
@@ -155715,7 +155780,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L418-L524"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L420-L526"
     },
     {
       "kind": "enum",
@@ -157206,10 +157271,21 @@
           "name": "node",
           "required": false,
           "type": {
-            "kind": "instance_of",
-            "type": {
-              "name": "DiscoveryNode",
-              "namespace": "ml._types"
+            "kind": "dictionary_of",
+            "key": {
+              "kind": "instance_of",
+              "type": {
+                "name": "Id",
+                "namespace": "_types"
+              }
+            },
+            "singleKey": false,
+            "value": {
+              "kind": "instance_of",
+              "type": {
+                "name": "DiscoveryNode",
+                "namespace": "ml._types"
+              }
             }
           }
         },
@@ -157433,7 +157509,7 @@
         "name": "MemoryStatus",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/Model.ts#L88-L92"
+      "specLocation": "ml/_types/Model.ts#L89-L93"
     },
     {
       "kind": "interface",
@@ -157734,7 +157810,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/Model.ts#L59-L81"
+      "specLocation": "ml/_types/Model.ts#L60-L82"
     },
     {
       "kind": "interface",
@@ -157864,7 +157940,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/Model.ts#L25-L46"
+      "specLocation": "ml/_types/Model.ts#L26-L47"
     },
     {
       "kind": "interface",
@@ -157913,10 +157989,21 @@
           "name": "node",
           "required": true,
           "type": {
-            "kind": "instance_of",
-            "type": {
-              "name": "DiscoveryNode",
-              "namespace": "ml._types"
+            "kind": "dictionary_of",
+            "key": {
+              "kind": "instance_of",
+              "type": {
+                "name": "Id",
+                "namespace": "_types"
+              }
+            },
+            "singleKey": false,
+            "value": {
+              "kind": "instance_of",
+              "type": {
+                "name": "DiscoveryNode",
+                "namespace": "ml._types"
+              }
             }
           }
         },
@@ -157932,7 +158019,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/Model.ts#L48-L57"
+      "specLocation": "ml/_types/Model.ts#L49-L58"
     },
     {
       "kind": "interface",
@@ -158298,7 +158385,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L526-L560"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L528-L562"
     },
     {
       "kind": "interface",
@@ -158821,7 +158908,7 @@
         "name": "RoutingState",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L347-L368"
+      "specLocation": "ml/_types/TrainedModel.ts#L371-L392"
     },
     {
       "kind": "enum",
@@ -158983,7 +159070,7 @@
         "name": "SnapshotUpgradeState",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/Model.ts#L94-L99"
+      "specLocation": "ml/_types/Model.ts#L95-L100"
     },
     {
       "kind": "interface",
@@ -159306,7 +159393,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L562-L567"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L564-L569"
     },
     {
       "kind": "interface",
@@ -159482,7 +159569,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L232-L239"
+      "specLocation": "ml/_types/TrainedModel.ts#L256-L263"
     },
     {
       "kind": "interface",
@@ -159519,7 +159606,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L241-L246"
+      "specLocation": "ml/_types/TrainedModel.ts#L265-L270"
     },
     {
       "kind": "interface",
@@ -159565,7 +159652,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L248-L255"
+      "specLocation": "ml/_types/TrainedModel.ts#L272-L279"
     },
     {
       "kind": "interface",
@@ -159644,7 +159731,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L399-L414"
+      "specLocation": "ml/_types/TrainedModel.ts#L423-L438"
     },
     {
       "kind": "interface",
@@ -159656,7 +159743,7 @@
         {
           "description": "The reason for the current state. It is usually populated only when the\n`routing_state` is `failed`.",
           "name": "reason",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -159680,7 +159767,7 @@
         {
           "description": "Current number of allocations.",
           "name": "current_allocations",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -159692,7 +159779,7 @@
         {
           "description": "Target number of allocations.",
           "name": "target_allocations",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -159702,7 +159789,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L370-L388"
+      "specLocation": "ml/_types/TrainedModel.ts#L394-L412"
     },
     {
       "kind": "interface",
@@ -159813,7 +159900,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L312-L345"
+      "specLocation": "ml/_types/TrainedModel.ts#L336-L369"
     },
     {
       "kind": "interface",
@@ -160061,7 +160148,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L164-L199"
+      "specLocation": "ml/_types/TrainedModel.ts#L188-L223"
     },
     {
       "kind": "interface",
@@ -160086,7 +160173,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L201-L204"
+      "specLocation": "ml/_types/TrainedModel.ts#L225-L228"
     },
     {
       "kind": "interface",
@@ -160163,7 +160250,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L206-L214"
+      "specLocation": "ml/_types/TrainedModel.ts#L230-L238"
     },
     {
       "kind": "interface",
@@ -160209,7 +160296,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L390-L397"
+      "specLocation": "ml/_types/TrainedModel.ts#L414-L421"
     },
     {
       "kind": "interface",
@@ -160221,7 +160308,48 @@
         {
           "description": "The average time for each inference call to complete on this node.",
           "name": "average_inference_time_ms",
-          "required": true,
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "generics": [
+              {
+                "kind": "instance_of",
+                "type": {
+                  "name": "UnitFloatMillis",
+                  "namespace": "_types"
+                }
+              }
+            ],
+            "type": {
+              "name": "DurationValue",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "average_inference_time_ms_last_minute",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "generics": [
+              {
+                "kind": "instance_of",
+                "type": {
+                  "name": "UnitFloatMillis",
+                  "namespace": "_types"
+                }
+              }
+            ],
+            "type": {
+              "name": "DurationValue",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "description": "The average time for each inference call to complete on this node, excluding cache",
+          "name": "average_inference_time_ms_excluding_cache_hits",
+          "required": false,
           "type": {
             "kind": "instance_of",
             "generics": [
@@ -160242,7 +160370,7 @@
         {
           "description": "The number of errors when evaluating the trained model.",
           "name": "error_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160254,11 +160382,33 @@
         {
           "description": "The total number of inference calls made against this node for this model.",
           "name": "inference_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
-              "name": "integer",
+              "name": "long",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "inference_cache_hit_count",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "long",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "inference_cache_hit_count_last_minute",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "long",
               "namespace": "_types"
             }
           }
@@ -160266,7 +160416,7 @@
         {
           "description": "The epoch time stamp of the last inference call for the model on this node.",
           "name": "last_access",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160281,19 +160431,30 @@
           },
           "description": "Information pertaining to the node.",
           "name": "node",
-          "required": true,
+          "required": false,
           "type": {
-            "kind": "instance_of",
-            "type": {
-              "name": "DiscoveryNode",
-              "namespace": "ml._types"
+            "kind": "dictionary_of",
+            "key": {
+              "kind": "instance_of",
+              "type": {
+                "name": "Id",
+                "namespace": "_types"
+              }
+            },
+            "singleKey": false,
+            "value": {
+              "kind": "instance_of",
+              "type": {
+                "name": "DiscoveryNode",
+                "namespace": "ml._types"
+              }
             }
           }
         },
         {
           "description": "The number of allocations assigned to this node.",
           "name": "number_of_allocations",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160305,7 +160466,7 @@
         {
           "description": "The number of inference requests queued to be processed.",
           "name": "number_of_pending_requests",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160314,10 +160475,21 @@
             }
           }
         },
+        {
+          "name": "peak_throughput_per_minute",
+          "required": true,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "long",
+              "namespace": "_types"
+            }
+          }
+        },
         {
           "description": "The number of inference requests that were not processed because the queue was full.",
           "name": "rejection_execution_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160341,7 +160513,7 @@
         {
           "description": "The epoch timestamp when the allocation started.",
           "name": "start_time",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "generics": [
@@ -160362,7 +160534,18 @@
         {
           "description": "The number of threads used by each allocation during inference.",
           "name": "threads_per_allocation",
-          "required": true,
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "integer",
+              "namespace": "_types"
+            }
+          }
+        },
+        {
+          "name": "throughput_last_minute",
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160374,7 +160557,7 @@
         {
           "description": "The number of inference requests that timed out before being processed.",
           "name": "timeout_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160384,7 +160567,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L132-L162"
+      "specLocation": "ml/_types/TrainedModel.ts#L141-L186"
     },
     {
       "kind": "interface",
@@ -160393,6 +160576,17 @@
         "namespace": "ml._types"
       },
       "properties": [
+        {
+          "name": "adaptive_allocations",
+          "required": false,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "AdaptiveAllocationsSettings",
+              "namespace": "ml._types"
+            }
+          }
+        },
         {
           "description": "The detailed allocation status for the deployment.",
           "name": "allocation_status",
@@ -160431,7 +160625,7 @@
         {
           "description": "The sum of `error_count` for all nodes in the deployment.",
           "name": "error_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160443,7 +160637,7 @@
         {
           "description": "The sum of `inference_count` for all nodes in the deployment.",
           "name": "inference_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160482,7 +160676,7 @@
         {
           "description": "The number of allocations requested.",
           "name": "number_of_allocations",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160491,10 +160685,21 @@
             }
           }
         },
+        {
+          "name": "priority",
+          "required": true,
+          "type": {
+            "kind": "instance_of",
+            "type": {
+              "name": "TrainingPriority",
+              "namespace": "ml._types"
+            }
+          }
+        },
         {
           "description": "The number of inference requests that can be queued before new requests are rejected.",
           "name": "queue_capacity",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160506,7 +160711,7 @@
         {
           "description": "The sum of `rejected_execution_count` for all nodes in the deployment.\nIndividual nodes reject an inference request if the inference queue is full.\nThe queue size is controlled by the `queue_capacity` setting in the start\ntrained model deployment API.",
           "name": "rejected_execution_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160518,7 +160723,7 @@
         {
           "description": "The reason for the current deployment state. Usually only populated when\nthe model is not deployed to a node.",
           "name": "reason",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160563,7 +160768,7 @@
         {
           "description": "The number of threads used be each allocation during inference.",
           "name": "threads_per_allocation",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160575,7 +160780,7 @@
         {
           "description": "The sum of `timeout_count` for all nodes in the deployment.",
           "name": "timeout_count",
-          "required": true,
+          "required": false,
           "type": {
             "kind": "instance_of",
             "type": {
@@ -160585,7 +160790,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L61-L101"
+      "specLocation": "ml/_types/TrainedModel.ts#L61-L104"
     },
     {
       "kind": "interface",
@@ -160809,7 +161014,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L103-L123"
+      "specLocation": "ml/_types/TrainedModel.ts#L112-L132"
     },
     {
       "kind": "interface",
@@ -160830,7 +161035,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L416-L418"
+      "specLocation": "ml/_types/TrainedModel.ts#L440-L442"
     },
     {
       "kind": "interface",
@@ -160851,7 +161056,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L420-L422"
+      "specLocation": "ml/_types/TrainedModel.ts#L444-L446"
     },
     {
       "kind": "interface",
@@ -160885,7 +161090,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L424-L433"
+      "specLocation": "ml/_types/TrainedModel.ts#L448-L457"
     },
     {
       "kind": "interface",
@@ -160919,7 +161124,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/TrainedModel.ts#L125-L130"
+      "specLocation": "ml/_types/TrainedModel.ts#L134-L139"
     },
     {
       "kind": "interface",
@@ -161032,7 +161237,7 @@
         "name": "TrainedModelType",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L257-L271"
+      "specLocation": "ml/_types/TrainedModel.ts#L281-L295"
     },
     {
       "kind": "enum",
@@ -161048,7 +161253,7 @@
         "name": "TrainingPriority",
         "namespace": "ml._types"
       },
-      "specLocation": "ml/_types/TrainedModel.ts#L307-L310"
+      "specLocation": "ml/_types/TrainedModel.ts#L331-L334"
     },
     {
       "kind": "interface",
@@ -161134,7 +161339,7 @@
           }
         }
       ],
-      "specLocation": "ml/_types/DataframeAnalytics.ts#L569-L574"
+      "specLocation": "ml/_types/DataframeAnalytics.ts#L571-L576"
     },
     {
       "kind": "interface",
diff --git a/output/typescript/types.ts b/output/typescript/types.ts
index 54043a22b0..5d82410aea 100644
--- a/output/typescript/types.ts
+++ b/output/typescript/types.ts
@@ -13607,6 +13607,12 @@ export interface MigrationPostFeatureUpgradeResponse {
   features: MigrationPostFeatureUpgradeMigrationFeature[]
 }
 
+export interface MlAdaptiveAllocationsSettings {
+  enabled: boolean
+  min_number_of_allocations?: integer
+  max_number_of_allocations?: integer
+}
+
 export interface MlAnalysisConfig {
   bucket_span?: Duration
   categorization_analyzer?: MlCategorizationAnalyzer
@@ -13878,9 +13884,9 @@ export type MlDatafeedState = 'started' | 'stopped' | 'starting' | 'stopping'
 export interface MlDatafeedStats {
   assignment_explanation?: string
   datafeed_id: Id
-  node?: MlDiscoveryNode
+  node?: Record<Id, MlDiscoveryNode>
   state: MlDatafeedState
-  timing_stats: MlDatafeedTimingStats
+  timing_stats?: MlDatafeedTimingStats
   running_state?: MlDatafeedRunningState
 }
 
@@ -14078,6 +14084,7 @@ export interface MlDataframeAnalyticsSummary {
   model_memory_limit?: string
   source: MlDataframeAnalyticsSource
   version?: VersionString
+  _meta?: Metadata
 }
 
 export interface MlDataframeEvaluationClassification {
@@ -14389,7 +14396,7 @@ export interface MlJobStats {
   forecasts_stats: MlJobForecastStatistics
   job_id: string
   model_size_stats: MlModelSizeStats
-  node?: MlDiscoveryNode
+  node?: Record<Id, MlDiscoveryNode>
   open_time?: DateTime
   state: MlJobState
   timing_stats: MlJobTimingStats
@@ -14456,7 +14463,7 @@ export interface MlModelSnapshotUpgrade {
   job_id: Id
   snapshot_id: Id
   state: MlSnapshotUpgradeState
-  node: MlDiscoveryNode
+  node: Record<Id, MlDiscoveryNode>
   assignment_explanation: string
 }
 
@@ -14659,10 +14666,10 @@ export interface MlTrainedModelAssignment {
 }
 
 export interface MlTrainedModelAssignmentRoutingTable {
-  reason: string
+  reason?: string
   routing_state: MlRoutingState
-  current_allocations: integer
-  target_allocations: integer
+  current_allocations?: integer
+  target_allocations?: integer
 }
 
 export interface MlTrainedModelAssignmentTaskParameters {
@@ -14716,36 +14723,44 @@ export interface MlTrainedModelDeploymentAllocationStatus {
 }
 
 export interface MlTrainedModelDeploymentNodesStats {
-  average_inference_time_ms: DurationValue<UnitFloatMillis>
-  error_count: integer
-  inference_count: integer
-  last_access: long
-  node: MlDiscoveryNode
-  number_of_allocations: integer
-  number_of_pending_requests: integer
-  rejection_execution_count: integer
+  average_inference_time_ms?: DurationValue<UnitFloatMillis>
+  average_inference_time_ms_last_minute?: DurationValue<UnitFloatMillis>
+  average_inference_time_ms_excluding_cache_hits?: DurationValue<UnitFloatMillis>
+  error_count?: integer
+  inference_count?: long
+  inference_cache_hit_count?: long
+  inference_cache_hit_count_last_minute?: long
+  last_access?: long
+  node?: Record<Id, MlDiscoveryNode>
+  number_of_allocations?: integer
+  number_of_pending_requests?: integer
+  peak_throughput_per_minute: long
+  rejection_execution_count?: integer
   routing_state: MlTrainedModelAssignmentRoutingTable
-  start_time: EpochTime<UnitMillis>
-  threads_per_allocation: integer
-  timeout_count: integer
+  start_time?: EpochTime<UnitMillis>
+  threads_per_allocation?: integer
+  throughput_last_minute?: integer
+  timeout_count?: integer
 }
 
 export interface MlTrainedModelDeploymentStats {
+  adaptive_allocations?: MlAdaptiveAllocationsSettings
   allocation_status: MlTrainedModelDeploymentAllocationStatus
   cache_size?: ByteSize
   deployment_id: Id
-  error_count: integer
-  inference_count: integer
+  error_count?: integer
+  inference_count?: integer
   model_id: Id
   nodes: MlTrainedModelDeploymentNodesStats[]
-  number_of_allocations: integer
-  queue_capacity: integer
-  rejected_execution_count: integer
-  reason: string
+  number_of_allocations?: integer
+  priority: MlTrainingPriority
+  queue_capacity?: integer
+  rejected_execution_count?: integer
+  reason?: string
   start_time: EpochTime<UnitMillis>
   state: MlDeploymentAssignmentState
-  threads_per_allocation: integer
-  timeout_count: integer
+  threads_per_allocation?: integer
+  timeout_count?: integer
 }
 
 export interface MlTrainedModelEntities {
diff --git a/specification/ml/_types/Datafeed.ts b/specification/ml/_types/Datafeed.ts
index c9df56e314..7b6c2d6981 100644
--- a/specification/ml/_types/Datafeed.ts
+++ b/specification/ml/_types/Datafeed.ts
@@ -154,7 +154,7 @@ export class DatafeedStats {
    * For started datafeeds only, this information pertains to the node upon which the datafeed is started.
    * @availability stack
    */
-  node?: DiscoveryNode
+  node?: Dictionary<Id, DiscoveryNode>
   /**
    * The status of the datafeed, which can be one of the following values: `starting`, `started`, `stopping`, `stopped`.
    */
@@ -162,7 +162,7 @@ export class DatafeedStats {
   /**
    * An object that provides statistical information about timing aspect of this datafeed.
    */
-  timing_stats: DatafeedTimingStats
+  timing_stats?: DatafeedTimingStats
   /**
    * An object containing the running state for this datafeed.
    * It is only provided if the datafeed is started.
diff --git a/specification/ml/_types/DataframeAnalytics.ts b/specification/ml/_types/DataframeAnalytics.ts
index fbafef44ae..95d4b3e9db 100644
--- a/specification/ml/_types/DataframeAnalytics.ts
+++ b/specification/ml/_types/DataframeAnalytics.ts
@@ -25,6 +25,7 @@ import {
   Id,
   IndexName,
   Indices,
+  Metadata,
   Name,
   VersionString
 } from '@_types/common'
@@ -318,6 +319,7 @@ export class DataframeAnalyticsSummary {
   model_memory_limit?: string
   source: DataframeAnalyticsSource
   version?: VersionString
+  _meta?: Metadata
 }
 
 export class DataframeAnalytics {
diff --git a/specification/ml/_types/Job.ts b/specification/ml/_types/Job.ts
index b15656ac05..364f70be8e 100644
--- a/specification/ml/_types/Job.ts
+++ b/specification/ml/_types/Job.ts
@@ -310,7 +310,7 @@ export class JobStats {
    * This information is available only for open jobs.
    * @availability stack
    */
-  node?: DiscoveryNode
+  node?: Dictionary<Id, DiscoveryNode>
   /**
    * For open jobs only, the elapsed time for which the job has been open.
    */
diff --git a/specification/ml/_types/Model.ts b/specification/ml/_types/Model.ts
index 806d14faf2..ea47bedafc 100644
--- a/specification/ml/_types/Model.ts
+++ b/specification/ml/_types/Model.ts
@@ -18,6 +18,7 @@
  */
 
 import { DiscoveryNode } from '@ml/_types/DiscoveryNode'
+import { Dictionary } from '@spec_utils/Dictionary'
 import { ByteSize, Id, VersionString } from '@_types/common'
 import { integer, long } from '@_types/Numeric'
 import { DateTime } from '@_types/Time'
@@ -52,7 +53,7 @@ export class ModelSnapshotUpgrade {
   /**
    * @availability stack
    */
-  node: DiscoveryNode
+  node: Dictionary<Id, DiscoveryNode>
   assignment_explanation: string
 }
 
diff --git a/specification/ml/_types/TrainedModel.ts b/specification/ml/_types/TrainedModel.ts
index 439444e403..fe151089ef 100644
--- a/specification/ml/_types/TrainedModel.ts
+++ b/specification/ml/_types/TrainedModel.ts
@@ -59,15 +59,16 @@ export class TrainedModelStats {
 }
 
 export class TrainedModelDeploymentStats {
+  adaptive_allocations?: AdaptiveAllocationsSettings
   /** The detailed allocation status for the deployment. */
   allocation_status: TrainedModelDeploymentAllocationStatus
   cache_size?: ByteSize
   /** The unique identifier for the trained model deployment. */
   deployment_id: Id
   /** The sum of `error_count` for all nodes in the deployment. */
-  error_count: integer
+  error_count?: integer
   /** The sum of `inference_count` for all nodes in the deployment. */
-  inference_count: integer
+  inference_count?: integer
   /** The unique identifier for the trained model. */
   model_id: Id
   /**
@@ -76,28 +77,36 @@ export class TrainedModelDeploymentStats {
    */
   nodes: TrainedModelDeploymentNodesStats[]
   /** The number of allocations requested. */
-  number_of_allocations: integer
+  number_of_allocations?: integer
+
+  priority: TrainingPriority
   /** The number of inference requests that can be queued before new requests are rejected. */
-  queue_capacity: integer
+  queue_capacity?: integer
   /**
    * The sum of `rejected_execution_count` for all nodes in the deployment.
    * Individual nodes reject an inference request if the inference queue is full.
    * The queue size is controlled by the `queue_capacity` setting in the start
    * trained model deployment API.
    */
-  rejected_execution_count: integer
+  rejected_execution_count?: integer
   /** The reason for the current deployment state. Usually only populated when
    * the model is not deployed to a node.
    */
-  reason: string
+  reason?: string
   /** The epoch timestamp when the deployment started. */
   start_time: EpochTime<UnitMillis>
   /** The overall state of the deployment. */
   state: DeploymentAssignmentState
   /** The number of threads used be each allocation during inference. */
-  threads_per_allocation: integer
+  threads_per_allocation?: integer
   /** The sum of `timeout_count` for all nodes in the deployment. */
-  timeout_count: integer
+  timeout_count?: integer
+}
+
+export class AdaptiveAllocationsSettings {
+  enabled: boolean
+  min_number_of_allocations?: integer
+  max_number_of_allocations?: integer
 }
 
 export class TrainedModelInferenceStats {
@@ -131,34 +140,49 @@ export class TrainedModelSizeStats {
 
 export class TrainedModelDeploymentNodesStats {
   /** The average time for each inference call to complete on this node. */
-  average_inference_time_ms: DurationValue<UnitFloatMillis>
+  average_inference_time_ms?: DurationValue<UnitFloatMillis>
+
+  average_inference_time_ms_last_minute?: DurationValue<UnitFloatMillis>
+
+  /** The average time for each inference call to complete on this node, excluding cache */
+  average_inference_time_ms_excluding_cache_hits?: DurationValue<UnitFloatMillis>
+
   /** The number of errors when evaluating the trained model. */
-  error_count: integer
+  error_count?: integer
   /** The total number of inference calls made against this node for this model. */
-  inference_count: integer
+  inference_count?: long
+
+  inference_cache_hit_count?: long
+
+  inference_cache_hit_count_last_minute?: long
+
   /** The epoch time stamp of the last inference call for the model on this node. */
-  last_access: long
+  last_access?: long
   /**
    * Information pertaining to the node.
    * @availability stack
    */
-  node: DiscoveryNode
+  node?: Dictionary<Id, DiscoveryNode>
   /**
    * The number of allocations assigned to this node.
    */
-  number_of_allocations: integer
+  number_of_allocations?: integer
   /** The number of inference requests queued to be processed. */
-  number_of_pending_requests: integer
+  number_of_pending_requests?: integer
+
+  peak_throughput_per_minute: long
   /** The number of inference requests that were not processed because the queue was full. */
-  rejection_execution_count: integer
+  rejection_execution_count?: integer
   /** The current routing state and reason for the current routing state for this allocation. */
   routing_state: TrainedModelAssignmentRoutingTable
   /** The epoch timestamp when the allocation started. */
-  start_time: EpochTime<UnitMillis>
+  start_time?: EpochTime<UnitMillis>
   /** The number of threads used by each allocation during inference. */
-  threads_per_allocation: integer
+  threads_per_allocation?: integer
+
+  throughput_last_minute?: integer
   /** The number of inference requests that timed out before being processed. */
-  timeout_count: integer
+  timeout_count?: integer
 }
 
 export class TrainedModelConfig {
@@ -372,7 +396,7 @@ export class TrainedModelAssignmentRoutingTable {
    * The reason for the current state. It is usually populated only when the
    * `routing_state` is `failed`.
    */
-  reason: string
+  reason?: string
   /**
    * The current routing state.
    */
@@ -380,11 +404,11 @@ export class TrainedModelAssignmentRoutingTable {
   /**
    * Current number of allocations.
    */
-  current_allocations: integer
+  current_allocations?: integer
   /**
    * Target number of allocations.
    */
-  target_allocations: integer
+  target_allocations?: integer
 }
 
 export class TrainedModelDeploymentAllocationStatus {