diff --git a/aiplatform/apiv1/aiplatformpb/notebook_runtime.pb.go b/aiplatform/apiv1/aiplatformpb/notebook_runtime.pb.go
index fd938e2f0435..1aa658415d81 100755
--- a/aiplatform/apiv1/aiplatformpb/notebook_runtime.pb.go
+++ b/aiplatform/apiv1/aiplatformpb/notebook_runtime.pb.go
@@ -301,6 +301,8 @@ type NotebookRuntimeTemplate struct {
 	NetworkTags []string `protobuf:"bytes,21,rep,name=network_tags,json=networkTags,proto3" json:"network_tags,omitempty"`
 	// Customer-managed encryption key spec for the notebook runtime.
 	EncryptionSpec *EncryptionSpec `protobuf:"bytes,23,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
+	// Optional. The notebook software configuration of the notebook runtime.
+	SoftwareConfig *NotebookSoftwareConfig `protobuf:"bytes,24,opt,name=software_config,json=softwareConfig,proto3" json:"software_config,omitempty"`
 }
 
 func (x *NotebookRuntimeTemplate) Reset() {
@@ -461,6 +463,13 @@ func (x *NotebookRuntimeTemplate) GetEncryptionSpec() *EncryptionSpec {
 	return nil
 }
 
+func (x *NotebookRuntimeTemplate) GetSoftwareConfig() *NotebookSoftwareConfig {
+	if x != nil {
+		return x.SoftwareConfig
+	}
+	return nil
+}
+
 // A runtime is a virtual machine allocated to a particular user for a
 // particular Notebook file on temporary basis with lifetime limited to 24
 // hours.
@@ -551,6 +560,8 @@ type NotebookRuntime struct {
 	// Optional. The Compute Engine tags to add to runtime (see [Tagging
 	// instances](https://cloud.google.com/vpc/docs/add-remove-network-tags)).
 	NetworkTags []string `protobuf:"bytes,25,rep,name=network_tags,json=networkTags,proto3" json:"network_tags,omitempty"`
+	// Output only. Software config of the notebook runtime.
+	SoftwareConfig *NotebookSoftwareConfig `protobuf:"bytes,31,opt,name=software_config,json=softwareConfig,proto3" json:"software_config,omitempty"`
 	// Output only. Customer-managed encryption key spec for the notebook runtime.
 	EncryptionSpec *EncryptionSpec `protobuf:"bytes,28,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
 	// Output only. Reserved for future use.
@@ -750,6 +761,13 @@ func (x *NotebookRuntime) GetNetworkTags() []string {
 	return nil
 }
 
+func (x *NotebookRuntime) GetSoftwareConfig() *NotebookSoftwareConfig {
+	if x != nil {
+		return x.SoftwareConfig
+	}
+	return nil
+}
+
 func (x *NotebookRuntime) GetEncryptionSpec() *EncryptionSpec {
 	if x != nil {
 		return x.EncryptionSpec
@@ -803,258 +821,274 @@ var file_google_cloud_aiplatform_v1_notebook_runtime_proto_rawDesc = []byte{
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 }
 
 var (
@@ -1087,7 +1121,8 @@ var file_google_cloud_aiplatform_v1_notebook_runtime_proto_goTypes = []any{
 	(*timestamppb.Timestamp)(nil),      // 12: google.protobuf.Timestamp
 	(*ShieldedVmConfig)(nil),           // 13: google.cloud.aiplatform.v1.ShieldedVmConfig
 	(*EncryptionSpec)(nil),             // 14: google.cloud.aiplatform.v1.EncryptionSpec
-	(*NotebookRuntimeTemplateRef)(nil), // 15: google.cloud.aiplatform.v1.NotebookRuntimeTemplateRef
+	(*NotebookSoftwareConfig)(nil),     // 15: google.cloud.aiplatform.v1.NotebookSoftwareConfig
+	(*NotebookRuntimeTemplateRef)(nil), // 16: google.cloud.aiplatform.v1.NotebookRuntimeTemplateRef
 }
 var file_google_cloud_aiplatform_v1_notebook_runtime_proto_depIdxs = []int32{
 	7,  // 0: google.cloud.aiplatform.v1.NotebookRuntimeTemplate.machine_spec:type_name -> google.cloud.aiplatform.v1.MachineSpec
@@ -1101,26 +1136,28 @@ var file_google_cloud_aiplatform_v1_notebook_runtime_proto_depIdxs = []int32{
 	0,  // 8: google.cloud.aiplatform.v1.NotebookRuntimeTemplate.notebook_runtime_type:type_name -> google.cloud.aiplatform.v1.NotebookRuntimeType
 	13, // 9: google.cloud.aiplatform.v1.NotebookRuntimeTemplate.shielded_vm_config:type_name -> google.cloud.aiplatform.v1.ShieldedVmConfig
 	14, // 10: google.cloud.aiplatform.v1.NotebookRuntimeTemplate.encryption_spec:type_name -> google.cloud.aiplatform.v1.EncryptionSpec
-	15, // 11: google.cloud.aiplatform.v1.NotebookRuntime.notebook_runtime_template_ref:type_name -> google.cloud.aiplatform.v1.NotebookRuntimeTemplateRef
-	12, // 12: google.cloud.aiplatform.v1.NotebookRuntime.create_time:type_name -> google.protobuf.Timestamp
-	12, // 13: google.cloud.aiplatform.v1.NotebookRuntime.update_time:type_name -> google.protobuf.Timestamp
-	1,  // 14: google.cloud.aiplatform.v1.NotebookRuntime.health_state:type_name -> google.cloud.aiplatform.v1.NotebookRuntime.HealthState
-	2,  // 15: google.cloud.aiplatform.v1.NotebookRuntime.runtime_state:type_name -> google.cloud.aiplatform.v1.NotebookRuntime.RuntimeState
-	6,  // 16: google.cloud.aiplatform.v1.NotebookRuntime.labels:type_name -> google.cloud.aiplatform.v1.NotebookRuntime.LabelsEntry
-	12, // 17: google.cloud.aiplatform.v1.NotebookRuntime.expiration_time:type_name -> google.protobuf.Timestamp
-	0,  // 18: google.cloud.aiplatform.v1.NotebookRuntime.notebook_runtime_type:type_name -> google.cloud.aiplatform.v1.NotebookRuntimeType
-	7,  // 19: google.cloud.aiplatform.v1.NotebookRuntime.machine_spec:type_name -> google.cloud.aiplatform.v1.MachineSpec
-	8,  // 20: google.cloud.aiplatform.v1.NotebookRuntime.data_persistent_disk_spec:type_name -> google.cloud.aiplatform.v1.PersistentDiskSpec
-	9,  // 21: google.cloud.aiplatform.v1.NotebookRuntime.network_spec:type_name -> google.cloud.aiplatform.v1.NetworkSpec
-	10, // 22: google.cloud.aiplatform.v1.NotebookRuntime.idle_shutdown_config:type_name -> google.cloud.aiplatform.v1.NotebookIdleShutdownConfig
-	11, // 23: google.cloud.aiplatform.v1.NotebookRuntime.euc_config:type_name -> google.cloud.aiplatform.v1.NotebookEucConfig
-	13, // 24: google.cloud.aiplatform.v1.NotebookRuntime.shielded_vm_config:type_name -> google.cloud.aiplatform.v1.ShieldedVmConfig
-	14, // 25: google.cloud.aiplatform.v1.NotebookRuntime.encryption_spec:type_name -> google.cloud.aiplatform.v1.EncryptionSpec
-	26, // [26:26] is the sub-list for method output_type
-	26, // [26:26] is the sub-list for method input_type
-	26, // [26:26] is the sub-list for extension type_name
-	26, // [26:26] is the sub-list for extension extendee
-	0,  // [0:26] is the sub-list for field type_name
+	15, // 11: google.cloud.aiplatform.v1.NotebookRuntimeTemplate.software_config:type_name -> google.cloud.aiplatform.v1.NotebookSoftwareConfig
+	16, // 12: google.cloud.aiplatform.v1.NotebookRuntime.notebook_runtime_template_ref:type_name -> google.cloud.aiplatform.v1.NotebookRuntimeTemplateRef
+	12, // 13: google.cloud.aiplatform.v1.NotebookRuntime.create_time:type_name -> google.protobuf.Timestamp
+	12, // 14: google.cloud.aiplatform.v1.NotebookRuntime.update_time:type_name -> google.protobuf.Timestamp
+	1,  // 15: google.cloud.aiplatform.v1.NotebookRuntime.health_state:type_name -> google.cloud.aiplatform.v1.NotebookRuntime.HealthState
+	2,  // 16: google.cloud.aiplatform.v1.NotebookRuntime.runtime_state:type_name -> google.cloud.aiplatform.v1.NotebookRuntime.RuntimeState
+	6,  // 17: google.cloud.aiplatform.v1.NotebookRuntime.labels:type_name -> google.cloud.aiplatform.v1.NotebookRuntime.LabelsEntry
+	12, // 18: google.cloud.aiplatform.v1.NotebookRuntime.expiration_time:type_name -> google.protobuf.Timestamp
+	0,  // 19: google.cloud.aiplatform.v1.NotebookRuntime.notebook_runtime_type:type_name -> google.cloud.aiplatform.v1.NotebookRuntimeType
+	7,  // 20: google.cloud.aiplatform.v1.NotebookRuntime.machine_spec:type_name -> google.cloud.aiplatform.v1.MachineSpec
+	8,  // 21: google.cloud.aiplatform.v1.NotebookRuntime.data_persistent_disk_spec:type_name -> google.cloud.aiplatform.v1.PersistentDiskSpec
+	9,  // 22: google.cloud.aiplatform.v1.NotebookRuntime.network_spec:type_name -> google.cloud.aiplatform.v1.NetworkSpec
+	10, // 23: google.cloud.aiplatform.v1.NotebookRuntime.idle_shutdown_config:type_name -> google.cloud.aiplatform.v1.NotebookIdleShutdownConfig
+	11, // 24: google.cloud.aiplatform.v1.NotebookRuntime.euc_config:type_name -> google.cloud.aiplatform.v1.NotebookEucConfig
+	13, // 25: google.cloud.aiplatform.v1.NotebookRuntime.shielded_vm_config:type_name -> google.cloud.aiplatform.v1.ShieldedVmConfig
+	15, // 26: google.cloud.aiplatform.v1.NotebookRuntime.software_config:type_name -> google.cloud.aiplatform.v1.NotebookSoftwareConfig
+	14, // 27: google.cloud.aiplatform.v1.NotebookRuntime.encryption_spec:type_name -> google.cloud.aiplatform.v1.EncryptionSpec
+	28, // [28:28] is the sub-list for method output_type
+	28, // [28:28] is the sub-list for method input_type
+	28, // [28:28] is the sub-list for extension type_name
+	28, // [28:28] is the sub-list for extension extendee
+	0,  // [0:28] is the sub-list for field type_name
 }
 
 func init() { file_google_cloud_aiplatform_v1_notebook_runtime_proto_init() }
@@ -1134,6 +1171,7 @@ func file_google_cloud_aiplatform_v1_notebook_runtime_proto_init() {
 	file_google_cloud_aiplatform_v1_notebook_euc_config_proto_init()
 	file_google_cloud_aiplatform_v1_notebook_idle_shutdown_config_proto_init()
 	file_google_cloud_aiplatform_v1_notebook_runtime_template_ref_proto_init()
+	file_google_cloud_aiplatform_v1_notebook_software_config_proto_init()
 	type x struct{}
 	out := protoimpl.TypeBuilder{
 		File: protoimpl.DescBuilder{
diff --git a/aiplatform/apiv1/aiplatformpb/notebook_service.pb.go b/aiplatform/apiv1/aiplatformpb/notebook_service.pb.go
index bd3b8319994a..db5f729b7916 100755
--- a/aiplatform/apiv1/aiplatformpb/notebook_service.pb.go
+++ b/aiplatform/apiv1/aiplatformpb/notebook_service.pb.go
@@ -286,6 +286,8 @@ type ListNotebookRuntimeTemplatesRequest struct {
 	//   - A key including a space must be quoted. `labels."a key"`.
 	//   - `notebookRuntimeType` supports = and !=. notebookRuntimeType enum:
 	//     [USER_DEFINED, ONE_CLICK].
+	//   - `machineType` supports = and !=.
+	//   - `acceleratorType` supports = and !=.
 	//
 	// Some examples:
 	//
@@ -293,6 +295,8 @@ type ListNotebookRuntimeTemplatesRequest struct {
 	//   - `displayName="myDisplayName"`
 	//   - `labels.myKey="myValue"`
 	//   - `notebookRuntimeType=USER_DEFINED`
+	//   - `machineType=e2-standard-4`
+	//   - `acceleratorType=NVIDIA_TESLA_T4`
 	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
 	// Optional. The standard list page size.
 	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
@@ -782,6 +786,8 @@ type ListNotebookRuntimesRequest struct {
 	//     UI_RESOURCE_STATE_CREATION_FAILED].
 	//   - `notebookRuntimeType` supports = and !=. notebookRuntimeType enum:
 	//     [USER_DEFINED, ONE_CLICK].
+	//   - `machineType` supports = and !=.
+	//   - `acceleratorType` supports = and !=.
 	//
 	// Some examples:
 	//
@@ -793,6 +799,8 @@ type ListNotebookRuntimesRequest struct {
 	//   - `runtimeUser="test@google.com"`
 	//   - `uiState=UI_RESOURCE_STATE_BEING_DELETED`
 	//   - `notebookRuntimeType=USER_DEFINED`
+	//   - `machineType=e2-standard-4`
+	//   - `acceleratorType=NVIDIA_TESLA_T4`
 	Filter string `protobuf:"bytes,2,opt,name=filter,proto3" json:"filter,omitempty"`
 	// Optional. The standard list page size.
 	PageSize int32 `protobuf:"varint,3,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
diff --git a/aiplatform/apiv1/aiplatformpb/notebook_software_config.pb.go b/aiplatform/apiv1/aiplatformpb/notebook_software_config.pb.go
new file mode 100755
index 000000000000..2a56d9e5cabf
--- /dev/null
+++ b/aiplatform/apiv1/aiplatformpb/notebook_software_config.pb.go
@@ -0,0 +1,346 @@
+// Copyright 2024 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// Code generated by protoc-gen-go. DO NOT EDIT.
+// versions:
+// 	protoc-gen-go v1.35.2
+// 	protoc        v4.25.3
+// source: google/cloud/aiplatform/v1/notebook_software_config.proto
+
+package aiplatformpb
+
+import (
+	reflect "reflect"
+	sync "sync"
+
+	_ "google.golang.org/genproto/googleapis/api/annotations"
+	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
+	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
+)
+
+const (
+	// Verify that this generated code is sufficiently up-to-date.
+	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
+	// Verify that runtime/protoimpl is sufficiently up-to-date.
+	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
+)
+
+// Represents a notebook runtime post startup script behavior.
+type PostStartupScriptConfig_PostStartupScriptBehavior int32
+
+const (
+	// Unspecified post startup script behavior.
+	PostStartupScriptConfig_POST_STARTUP_SCRIPT_BEHAVIOR_UNSPECIFIED PostStartupScriptConfig_PostStartupScriptBehavior = 0
+	// Run post startup script after runtime is started.
+	PostStartupScriptConfig_RUN_ONCE PostStartupScriptConfig_PostStartupScriptBehavior = 1
+	// Run post startup script after runtime is stopped.
+	PostStartupScriptConfig_RUN_EVERY_START PostStartupScriptConfig_PostStartupScriptBehavior = 2
+	// Download and run post startup script every time runtime is started.
+	PostStartupScriptConfig_DOWNLOAD_AND_RUN_EVERY_START PostStartupScriptConfig_PostStartupScriptBehavior = 3
+)
+
+// Enum value maps for PostStartupScriptConfig_PostStartupScriptBehavior.
+var (
+	PostStartupScriptConfig_PostStartupScriptBehavior_name = map[int32]string{
+		0: "POST_STARTUP_SCRIPT_BEHAVIOR_UNSPECIFIED",
+		1: "RUN_ONCE",
+		2: "RUN_EVERY_START",
+		3: "DOWNLOAD_AND_RUN_EVERY_START",
+	}
+	PostStartupScriptConfig_PostStartupScriptBehavior_value = map[string]int32{
+		"POST_STARTUP_SCRIPT_BEHAVIOR_UNSPECIFIED": 0,
+		"RUN_ONCE":                     1,
+		"RUN_EVERY_START":              2,
+		"DOWNLOAD_AND_RUN_EVERY_START": 3,
+	}
+)
+
+func (x PostStartupScriptConfig_PostStartupScriptBehavior) Enum() *PostStartupScriptConfig_PostStartupScriptBehavior {
+	p := new(PostStartupScriptConfig_PostStartupScriptBehavior)
+	*p = x
+	return p
+}
+
+func (x PostStartupScriptConfig_PostStartupScriptBehavior) String() string {
+	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
+}
+
+func (PostStartupScriptConfig_PostStartupScriptBehavior) Descriptor() protoreflect.EnumDescriptor {
+	return file_google_cloud_aiplatform_v1_notebook_software_config_proto_enumTypes[0].Descriptor()
+}
+
+func (PostStartupScriptConfig_PostStartupScriptBehavior) Type() protoreflect.EnumType {
+	return &file_google_cloud_aiplatform_v1_notebook_software_config_proto_enumTypes[0]
+}
+
+func (x PostStartupScriptConfig_PostStartupScriptBehavior) Number() protoreflect.EnumNumber {
+	return protoreflect.EnumNumber(x)
+}
+
+// Deprecated: Use PostStartupScriptConfig_PostStartupScriptBehavior.Descriptor instead.
+func (PostStartupScriptConfig_PostStartupScriptBehavior) EnumDescriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescGZIP(), []int{0, 0}
+}
+
+// Post startup script config.
+type PostStartupScriptConfig struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Optional. Post startup script to run after runtime is started.
+	PostStartupScript string `protobuf:"bytes,1,opt,name=post_startup_script,json=postStartupScript,proto3" json:"post_startup_script,omitempty"`
+	// Optional. Post startup script url to download. Example:
+	// https://bucket/script.sh
+	PostStartupScriptUrl string `protobuf:"bytes,2,opt,name=post_startup_script_url,json=postStartupScriptUrl,proto3" json:"post_startup_script_url,omitempty"`
+	// Optional. Post startup script behavior that defines download and execution
+	// behavior.
+	PostStartupScriptBehavior PostStartupScriptConfig_PostStartupScriptBehavior `protobuf:"varint,3,opt,name=post_startup_script_behavior,json=postStartupScriptBehavior,proto3,enum=google.cloud.aiplatform.v1.PostStartupScriptConfig_PostStartupScriptBehavior" json:"post_startup_script_behavior,omitempty"`
+}
+
+func (x *PostStartupScriptConfig) Reset() {
+	*x = PostStartupScriptConfig{}
+	mi := &file_google_cloud_aiplatform_v1_notebook_software_config_proto_msgTypes[0]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *PostStartupScriptConfig) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*PostStartupScriptConfig) ProtoMessage() {}
+
+func (x *PostStartupScriptConfig) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1_notebook_software_config_proto_msgTypes[0]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use PostStartupScriptConfig.ProtoReflect.Descriptor instead.
+func (*PostStartupScriptConfig) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescGZIP(), []int{0}
+}
+
+func (x *PostStartupScriptConfig) GetPostStartupScript() string {
+	if x != nil {
+		return x.PostStartupScript
+	}
+	return ""
+}
+
+func (x *PostStartupScriptConfig) GetPostStartupScriptUrl() string {
+	if x != nil {
+		return x.PostStartupScriptUrl
+	}
+	return ""
+}
+
+func (x *PostStartupScriptConfig) GetPostStartupScriptBehavior() PostStartupScriptConfig_PostStartupScriptBehavior {
+	if x != nil {
+		return x.PostStartupScriptBehavior
+	}
+	return PostStartupScriptConfig_POST_STARTUP_SCRIPT_BEHAVIOR_UNSPECIFIED
+}
+
+// Notebook Software Config.
+type NotebookSoftwareConfig struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Optional. Environment variables to be passed to the container.
+	// Maximum limit is 100.
+	Env []*EnvVar `protobuf:"bytes,1,rep,name=env,proto3" json:"env,omitempty"`
+	// Optional. Post startup script config.
+	PostStartupScriptConfig *PostStartupScriptConfig `protobuf:"bytes,2,opt,name=post_startup_script_config,json=postStartupScriptConfig,proto3" json:"post_startup_script_config,omitempty"`
+}
+
+func (x *NotebookSoftwareConfig) Reset() {
+	*x = NotebookSoftwareConfig{}
+	mi := &file_google_cloud_aiplatform_v1_notebook_software_config_proto_msgTypes[1]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *NotebookSoftwareConfig) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*NotebookSoftwareConfig) ProtoMessage() {}
+
+func (x *NotebookSoftwareConfig) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1_notebook_software_config_proto_msgTypes[1]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use NotebookSoftwareConfig.ProtoReflect.Descriptor instead.
+func (*NotebookSoftwareConfig) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescGZIP(), []int{1}
+}
+
+func (x *NotebookSoftwareConfig) GetEnv() []*EnvVar {
+	if x != nil {
+		return x.Env
+	}
+	return nil
+}
+
+func (x *NotebookSoftwareConfig) GetPostStartupScriptConfig() *PostStartupScriptConfig {
+	if x != nil {
+		return x.PostStartupScriptConfig
+	}
+	return nil
+}
+
+var File_google_cloud_aiplatform_v1_notebook_software_config_proto protoreflect.FileDescriptor
+
+var file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDesc = []byte{
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+	0x53, 0x74, 0x61, 0x72, 0x74, 0x75, 0x70, 0x53, 0x63, 0x72, 0x69, 0x70, 0x74, 0x43, 0x6f, 0x6e,
+	0x66, 0x69, 0x67, 0x42, 0xd9, 0x01, 0x0a, 0x1e, 0x63, 0x6f, 0x6d, 0x2e, 0x67, 0x6f, 0x6f, 0x67,
+	0x6c, 0x65, 0x2e, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x61, 0x69, 0x70, 0x6c, 0x61, 0x74, 0x66,
+	0x6f, 0x72, 0x6d, 0x2e, 0x76, 0x31, 0x42, 0x1b, 0x4e, 0x6f, 0x74, 0x65, 0x62, 0x6f, 0x6f, 0x6b,
+	0x53, 0x6f, 0x66, 0x74, 0x77, 0x61, 0x72, 0x65, 0x43, 0x6f, 0x6e, 0x66, 0x69, 0x67, 0x50, 0x72,
+	0x6f, 0x74, 0x6f, 0x50, 0x01, 0x5a, 0x3e, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x67, 0x6f, 0x6f,
+	0x67, 0x6c, 0x65, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x67, 0x6f, 0x2f, 0x61, 0x69, 0x70, 0x6c, 0x61,
+	0x74, 0x66, 0x6f, 0x72, 0x6d, 0x2f, 0x61, 0x70, 0x69, 0x76, 0x31, 0x2f, 0x61, 0x69, 0x70, 0x6c,
+	0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x70, 0x62, 0x3b, 0x61, 0x69, 0x70, 0x6c, 0x61, 0x74, 0x66,
+	0x6f, 0x72, 0x6d, 0x70, 0x62, 0xaa, 0x02, 0x1a, 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x43,
+	0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x41, 0x49, 0x50, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x2e,
+	0x56, 0x31, 0xca, 0x02, 0x1a, 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x5c, 0x43, 0x6c, 0x6f, 0x75,
+	0x64, 0x5c, 0x41, 0x49, 0x50, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x5c, 0x56, 0x31, 0xea,
+	0x02, 0x1d, 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x3a, 0x3a, 0x43, 0x6c, 0x6f, 0x75, 0x64, 0x3a,
+	0x3a, 0x41, 0x49, 0x50, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72, 0x6d, 0x3a, 0x3a, 0x56, 0x31, 0x62,
+	0x06, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x33,
+}
+
+var (
+	file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescOnce sync.Once
+	file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescData = file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDesc
+)
+
+func file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescGZIP() []byte {
+	file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescOnce.Do(func() {
+		file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescData)
+	})
+	return file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDescData
+}
+
+var file_google_cloud_aiplatform_v1_notebook_software_config_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
+var file_google_cloud_aiplatform_v1_notebook_software_config_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
+var file_google_cloud_aiplatform_v1_notebook_software_config_proto_goTypes = []any{
+	(PostStartupScriptConfig_PostStartupScriptBehavior)(0), // 0: google.cloud.aiplatform.v1.PostStartupScriptConfig.PostStartupScriptBehavior
+	(*PostStartupScriptConfig)(nil),                        // 1: google.cloud.aiplatform.v1.PostStartupScriptConfig
+	(*NotebookSoftwareConfig)(nil),                         // 2: google.cloud.aiplatform.v1.NotebookSoftwareConfig
+	(*EnvVar)(nil),                                         // 3: google.cloud.aiplatform.v1.EnvVar
+}
+var file_google_cloud_aiplatform_v1_notebook_software_config_proto_depIdxs = []int32{
+	0, // 0: google.cloud.aiplatform.v1.PostStartupScriptConfig.post_startup_script_behavior:type_name -> google.cloud.aiplatform.v1.PostStartupScriptConfig.PostStartupScriptBehavior
+	3, // 1: google.cloud.aiplatform.v1.NotebookSoftwareConfig.env:type_name -> google.cloud.aiplatform.v1.EnvVar
+	1, // 2: google.cloud.aiplatform.v1.NotebookSoftwareConfig.post_startup_script_config:type_name -> google.cloud.aiplatform.v1.PostStartupScriptConfig
+	3, // [3:3] is the sub-list for method output_type
+	3, // [3:3] is the sub-list for method input_type
+	3, // [3:3] is the sub-list for extension type_name
+	3, // [3:3] is the sub-list for extension extendee
+	0, // [0:3] is the sub-list for field type_name
+}
+
+func init() { file_google_cloud_aiplatform_v1_notebook_software_config_proto_init() }
+func file_google_cloud_aiplatform_v1_notebook_software_config_proto_init() {
+	if File_google_cloud_aiplatform_v1_notebook_software_config_proto != nil {
+		return
+	}
+	file_google_cloud_aiplatform_v1_env_var_proto_init()
+	type x struct{}
+	out := protoimpl.TypeBuilder{
+		File: protoimpl.DescBuilder{
+			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
+			RawDescriptor: file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDesc,
+			NumEnums:      1,
+			NumMessages:   2,
+			NumExtensions: 0,
+			NumServices:   0,
+		},
+		GoTypes:           file_google_cloud_aiplatform_v1_notebook_software_config_proto_goTypes,
+		DependencyIndexes: file_google_cloud_aiplatform_v1_notebook_software_config_proto_depIdxs,
+		EnumInfos:         file_google_cloud_aiplatform_v1_notebook_software_config_proto_enumTypes,
+		MessageInfos:      file_google_cloud_aiplatform_v1_notebook_software_config_proto_msgTypes,
+	}.Build()
+	File_google_cloud_aiplatform_v1_notebook_software_config_proto = out.File
+	file_google_cloud_aiplatform_v1_notebook_software_config_proto_rawDesc = nil
+	file_google_cloud_aiplatform_v1_notebook_software_config_proto_goTypes = nil
+	file_google_cloud_aiplatform_v1_notebook_software_config_proto_depIdxs = nil
+}
diff --git a/aiplatform/apiv1beta1/aiplatformpb/evaluation_service.pb.go b/aiplatform/apiv1beta1/aiplatformpb/evaluation_service.pb.go
index 53bc8e987743..a9196687a9a7 100755
--- a/aiplatform/apiv1beta1/aiplatformpb/evaluation_service.pb.go
+++ b/aiplatform/apiv1beta1/aiplatformpb/evaluation_service.pb.go
@@ -25,6 +25,7 @@ import (
 	reflect "reflect"
 	sync "sync"
 
+	longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb"
 	_ "google.golang.org/genproto/googleapis/api/annotations"
 	grpc "google.golang.org/grpc"
 	codes "google.golang.org/grpc/codes"
@@ -97,6 +98,91 @@ func (PairwiseChoice) EnumDescriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{0}
 }
 
+// The aggregation metrics supported by EvaluationService.EvaluateDataset.
+type Metric_AggregationMetric int32
+
+const (
+	// Unspecified aggregation metric.
+	Metric_AGGREGATION_METRIC_UNSPECIFIED Metric_AggregationMetric = 0
+	// Average aggregation metric.
+	Metric_AVERAGE Metric_AggregationMetric = 1
+	// Mode aggregation metric.
+	Metric_MODE Metric_AggregationMetric = 2
+	// Standard deviation aggregation metric.
+	Metric_STANDARD_DEVIATION Metric_AggregationMetric = 3
+	// Variance aggregation metric.
+	Metric_VARIANCE Metric_AggregationMetric = 4
+	// Minimum aggregation metric.
+	Metric_MINIMUM Metric_AggregationMetric = 5
+	// Maximum aggregation metric.
+	Metric_MAXIMUM Metric_AggregationMetric = 6
+	// Median aggregation metric.
+	Metric_MEDIAN Metric_AggregationMetric = 7
+	// 90th percentile aggregation metric.
+	Metric_PERCENTILE_P90 Metric_AggregationMetric = 8
+	// 95th percentile aggregation metric.
+	Metric_PERCENTILE_P95 Metric_AggregationMetric = 9
+	// 99th percentile aggregation metric.
+	Metric_PERCENTILE_P99 Metric_AggregationMetric = 10
+)
+
+// Enum value maps for Metric_AggregationMetric.
+var (
+	Metric_AggregationMetric_name = map[int32]string{
+		0:  "AGGREGATION_METRIC_UNSPECIFIED",
+		1:  "AVERAGE",
+		2:  "MODE",
+		3:  "STANDARD_DEVIATION",
+		4:  "VARIANCE",
+		5:  "MINIMUM",
+		6:  "MAXIMUM",
+		7:  "MEDIAN",
+		8:  "PERCENTILE_P90",
+		9:  "PERCENTILE_P95",
+		10: "PERCENTILE_P99",
+	}
+	Metric_AggregationMetric_value = map[string]int32{
+		"AGGREGATION_METRIC_UNSPECIFIED": 0,
+		"AVERAGE":                        1,
+		"MODE":                           2,
+		"STANDARD_DEVIATION":             3,
+		"VARIANCE":                       4,
+		"MINIMUM":                        5,
+		"MAXIMUM":                        6,
+		"MEDIAN":                         7,
+		"PERCENTILE_P90":                 8,
+		"PERCENTILE_P95":                 9,
+		"PERCENTILE_P99":                 10,
+	}
+)
+
+func (x Metric_AggregationMetric) Enum() *Metric_AggregationMetric {
+	p := new(Metric_AggregationMetric)
+	*p = x
+	return p
+}
+
+func (x Metric_AggregationMetric) String() string {
+	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
+}
+
+func (Metric_AggregationMetric) Descriptor() protoreflect.EnumDescriptor {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[1].Descriptor()
+}
+
+func (Metric_AggregationMetric) Type() protoreflect.EnumType {
+	return &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[1]
+}
+
+func (x Metric_AggregationMetric) Number() protoreflect.EnumNumber {
+	return protoreflect.EnumNumber(x)
+}
+
+// Deprecated: Use Metric_AggregationMetric.Descriptor instead.
+func (Metric_AggregationMetric) EnumDescriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{5, 0}
+}
+
 // Comet version options.
 type CometSpec_CometVersion int32
 
@@ -131,11 +217,11 @@ func (x CometSpec_CometVersion) String() string {
 }
 
 func (CometSpec_CometVersion) Descriptor() protoreflect.EnumDescriptor {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[1].Descriptor()
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[2].Descriptor()
 }
 
 func (CometSpec_CometVersion) Type() protoreflect.EnumType {
-	return &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[1]
+	return &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[2]
 }
 
 func (x CometSpec_CometVersion) Number() protoreflect.EnumNumber {
@@ -144,7 +230,7 @@ func (x CometSpec_CometVersion) Number() protoreflect.EnumNumber {
 
 // Deprecated: Use CometSpec_CometVersion.Descriptor instead.
 func (CometSpec_CometVersion) EnumDescriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{103, 0}
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{110, 0}
 }
 
 // MetricX Version options.
@@ -189,11 +275,11 @@ func (x MetricxSpec_MetricxVersion) String() string {
 }
 
 func (MetricxSpec_MetricxVersion) Descriptor() protoreflect.EnumDescriptor {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[2].Descriptor()
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[3].Descriptor()
 }
 
 func (MetricxSpec_MetricxVersion) Type() protoreflect.EnumType {
-	return &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[2]
+	return &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes[3]
 }
 
 func (x MetricxSpec_MetricxVersion) Number() protoreflect.EnumNumber {
@@ -202,52 +288,33 @@ func (x MetricxSpec_MetricxVersion) Number() protoreflect.EnumNumber {
 
 // Deprecated: Use MetricxSpec_MetricxVersion.Descriptor instead.
 func (MetricxSpec_MetricxVersion) EnumDescriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{107, 0}
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{114, 0}
 }
 
-// The configs for autorater. This is applicable to both EvaluateInstances and
-// EvaluateDataset.
-type AutoraterConfig struct {
+// Operation metadata for Dataset Evaluation.
+type EvaluateDatasetOperationMetadata struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Optional. Number of samples for each instance in the dataset.
-	// If not specified, the default is 4. Minimum value is 1, maximum value
-	// is 32.
-	SamplingCount *int32 `protobuf:"varint,1,opt,name=sampling_count,json=samplingCount,proto3,oneof" json:"sampling_count,omitempty"`
-	// Optional. Whether to flip the candidate and baseline responses.
-	// This is only applicable to the pairwise metric. If enabled, also provide
-	// PairwiseMetricSpec.candidate_response_field_name and
-	// PairwiseMetricSpec.baseline_response_field_name. When rendering
-	// PairwiseMetricSpec.metric_prompt_template, the candidate and baseline
-	// fields will be flipped for half of the samples to reduce bias.
-	FlipEnabled *bool `protobuf:"varint,2,opt,name=flip_enabled,json=flipEnabled,proto3,oneof" json:"flip_enabled,omitempty"`
-	// Optional. The fully qualified name of the publisher model or tuned
-	// autorater endpoint to use.
-	//
-	// Publisher model format:
-	// `projects/{project}/locations/{location}/publishers/*/models/*`
-	//
-	// Tuned model endpoint format:
-	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
-	AutoraterModel string `protobuf:"bytes,3,opt,name=autorater_model,json=autoraterModel,proto3" json:"autorater_model,omitempty"`
+	// Generic operation metadata.
+	GenericMetadata *GenericOperationMetadata `protobuf:"bytes,1,opt,name=generic_metadata,json=genericMetadata,proto3" json:"generic_metadata,omitempty"`
 }
 
-func (x *AutoraterConfig) Reset() {
-	*x = AutoraterConfig{}
+func (x *EvaluateDatasetOperationMetadata) Reset() {
+	*x = EvaluateDatasetOperationMetadata{}
 	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[0]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *AutoraterConfig) String() string {
+func (x *EvaluateDatasetOperationMetadata) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*AutoraterConfig) ProtoMessage() {}
+func (*EvaluateDatasetOperationMetadata) ProtoMessage() {}
 
-func (x *AutoraterConfig) ProtoReflect() protoreflect.Message {
+func (x *EvaluateDatasetOperationMetadata) ProtoReflect() protoreflect.Message {
 	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[0]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
@@ -259,96 +326,94 @@ func (x *AutoraterConfig) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use AutoraterConfig.ProtoReflect.Descriptor instead.
-func (*AutoraterConfig) Descriptor() ([]byte, []int) {
+// Deprecated: Use EvaluateDatasetOperationMetadata.ProtoReflect.Descriptor instead.
+func (*EvaluateDatasetOperationMetadata) Descriptor() ([]byte, []int) {
 	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{0}
 }
 
-func (x *AutoraterConfig) GetSamplingCount() int32 {
-	if x != nil && x.SamplingCount != nil {
-		return *x.SamplingCount
+func (x *EvaluateDatasetOperationMetadata) GetGenericMetadata() *GenericOperationMetadata {
+	if x != nil {
+		return x.GenericMetadata
 	}
-	return 0
+	return nil
 }
 
-func (x *AutoraterConfig) GetFlipEnabled() bool {
-	if x != nil && x.FlipEnabled != nil {
-		return *x.FlipEnabled
+// Response in LRO for EvaluationService.EvaluateDataset.
+type EvaluateDatasetResponse struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Output only. Output info for EvaluationService.EvaluateDataset.
+	OutputInfo *OutputInfo `protobuf:"bytes,3,opt,name=output_info,json=outputInfo,proto3" json:"output_info,omitempty"`
+}
+
+func (x *EvaluateDatasetResponse) Reset() {
+	*x = EvaluateDatasetResponse{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[1]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *EvaluateDatasetResponse) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*EvaluateDatasetResponse) ProtoMessage() {}
+
+func (x *EvaluateDatasetResponse) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[1]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
 	}
-	return false
+	return mi.MessageOf(x)
 }
 
-func (x *AutoraterConfig) GetAutoraterModel() string {
+// Deprecated: Use EvaluateDatasetResponse.ProtoReflect.Descriptor instead.
+func (*EvaluateDatasetResponse) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{1}
+}
+
+func (x *EvaluateDatasetResponse) GetOutputInfo() *OutputInfo {
 	if x != nil {
-		return x.AutoraterModel
+		return x.OutputInfo
 	}
-	return ""
+	return nil
 }
 
-// Request message for EvaluationService.EvaluateInstances.
-type EvaluateInstancesRequest struct {
+// Describes the info for output of EvaluationService.EvaluateDataset.
+type OutputInfo struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Instances and specs for evaluation
+	// The output location into which evaluation output is written.
 	//
-	// Types that are assignable to MetricInputs:
+	// Types that are assignable to OutputLocation:
 	//
-	//	*EvaluateInstancesRequest_ExactMatchInput
-	//	*EvaluateInstancesRequest_BleuInput
-	//	*EvaluateInstancesRequest_RougeInput
-	//	*EvaluateInstancesRequest_FluencyInput
-	//	*EvaluateInstancesRequest_CoherenceInput
-	//	*EvaluateInstancesRequest_SafetyInput
-	//	*EvaluateInstancesRequest_GroundednessInput
-	//	*EvaluateInstancesRequest_FulfillmentInput
-	//	*EvaluateInstancesRequest_SummarizationQualityInput
-	//	*EvaluateInstancesRequest_PairwiseSummarizationQualityInput
-	//	*EvaluateInstancesRequest_SummarizationHelpfulnessInput
-	//	*EvaluateInstancesRequest_SummarizationVerbosityInput
-	//	*EvaluateInstancesRequest_QuestionAnsweringQualityInput
-	//	*EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput
-	//	*EvaluateInstancesRequest_QuestionAnsweringRelevanceInput
-	//	*EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput
-	//	*EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput
-	//	*EvaluateInstancesRequest_PointwiseMetricInput
-	//	*EvaluateInstancesRequest_PairwiseMetricInput
-	//	*EvaluateInstancesRequest_ToolCallValidInput
-	//	*EvaluateInstancesRequest_ToolNameMatchInput
-	//	*EvaluateInstancesRequest_ToolParameterKeyMatchInput
-	//	*EvaluateInstancesRequest_ToolParameterKvMatchInput
-	//	*EvaluateInstancesRequest_CometInput
-	//	*EvaluateInstancesRequest_MetricxInput
-	//	*EvaluateInstancesRequest_TrajectoryExactMatchInput
-	//	*EvaluateInstancesRequest_TrajectoryInOrderMatchInput
-	//	*EvaluateInstancesRequest_TrajectoryAnyOrderMatchInput
-	//	*EvaluateInstancesRequest_TrajectoryPrecisionInput
-	//	*EvaluateInstancesRequest_TrajectoryRecallInput
-	//	*EvaluateInstancesRequest_TrajectorySingleToolUseInput
-	MetricInputs isEvaluateInstancesRequest_MetricInputs `protobuf_oneof:"metric_inputs"`
-	// Required. The resource name of the Location to evaluate the instances.
-	// Format: `projects/{project}/locations/{location}`
-	Location string `protobuf:"bytes,1,opt,name=location,proto3" json:"location,omitempty"`
-	// Optional. Autorater config used for evaluation.
-	AutoraterConfig *AutoraterConfig `protobuf:"bytes,30,opt,name=autorater_config,json=autoraterConfig,proto3" json:"autorater_config,omitempty"`
+	//	*OutputInfo_GcsOutputDirectory
+	OutputLocation isOutputInfo_OutputLocation `protobuf_oneof:"output_location"`
 }
 
-func (x *EvaluateInstancesRequest) Reset() {
-	*x = EvaluateInstancesRequest{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[1]
+func (x *OutputInfo) Reset() {
+	*x = OutputInfo{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[2]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *EvaluateInstancesRequest) String() string {
+func (x *OutputInfo) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*EvaluateInstancesRequest) ProtoMessage() {}
+func (*OutputInfo) ProtoMessage() {}
 
-func (x *EvaluateInstancesRequest) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[1]
+func (x *OutputInfo) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[2]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -359,552 +424,556 @@ func (x *EvaluateInstancesRequest) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use EvaluateInstancesRequest.ProtoReflect.Descriptor instead.
-func (*EvaluateInstancesRequest) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{1}
+// Deprecated: Use OutputInfo.ProtoReflect.Descriptor instead.
+func (*OutputInfo) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{2}
 }
 
-func (m *EvaluateInstancesRequest) GetMetricInputs() isEvaluateInstancesRequest_MetricInputs {
+func (m *OutputInfo) GetOutputLocation() isOutputInfo_OutputLocation {
 	if m != nil {
-		return m.MetricInputs
+		return m.OutputLocation
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetExactMatchInput() *ExactMatchInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ExactMatchInput); ok {
-		return x.ExactMatchInput
+func (x *OutputInfo) GetGcsOutputDirectory() string {
+	if x, ok := x.GetOutputLocation().(*OutputInfo_GcsOutputDirectory); ok {
+		return x.GcsOutputDirectory
 	}
-	return nil
+	return ""
 }
 
-func (x *EvaluateInstancesRequest) GetBleuInput() *BleuInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_BleuInput); ok {
-		return x.BleuInput
-	}
-	return nil
+type isOutputInfo_OutputLocation interface {
+	isOutputInfo_OutputLocation()
 }
 
-func (x *EvaluateInstancesRequest) GetRougeInput() *RougeInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_RougeInput); ok {
-		return x.RougeInput
-	}
-	return nil
+type OutputInfo_GcsOutputDirectory struct {
+	// Output only. The full path of the Cloud Storage directory created, into
+	// which the evaluation results and aggregation results are written.
+	GcsOutputDirectory string `protobuf:"bytes,1,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3,oneof"`
 }
 
-func (x *EvaluateInstancesRequest) GetFluencyInput() *FluencyInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_FluencyInput); ok {
-		return x.FluencyInput
-	}
-	return nil
-}
+func (*OutputInfo_GcsOutputDirectory) isOutputInfo_OutputLocation() {}
 
-func (x *EvaluateInstancesRequest) GetCoherenceInput() *CoherenceInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_CoherenceInput); ok {
-		return x.CoherenceInput
-	}
-	return nil
-}
+// Request message for EvaluationService.EvaluateDataset.
+type EvaluateDatasetRequest struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
 
-func (x *EvaluateInstancesRequest) GetSafetyInput() *SafetyInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_SafetyInput); ok {
-		return x.SafetyInput
-	}
-	return nil
+	// Required. The resource name of the Location to evaluate the dataset.
+	// Format: `projects/{project}/locations/{location}`
+	Location string `protobuf:"bytes,1,opt,name=location,proto3" json:"location,omitempty"`
+	// Required. The dataset used for evaluation.
+	Dataset *EvaluationDataset `protobuf:"bytes,2,opt,name=dataset,proto3" json:"dataset,omitempty"`
+	// Required. The metrics used for evaluation.
+	Metrics []*Metric `protobuf:"bytes,3,rep,name=metrics,proto3" json:"metrics,omitempty"`
+	// Required. Config for evaluation output.
+	OutputConfig *OutputConfig `protobuf:"bytes,4,opt,name=output_config,json=outputConfig,proto3" json:"output_config,omitempty"`
+	// Optional. Autorater config used for evaluation.
+	AutoraterConfig *AutoraterConfig `protobuf:"bytes,5,opt,name=autorater_config,json=autoraterConfig,proto3" json:"autorater_config,omitempty"`
 }
 
-func (x *EvaluateInstancesRequest) GetGroundednessInput() *GroundednessInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_GroundednessInput); ok {
-		return x.GroundednessInput
-	}
-	return nil
+func (x *EvaluateDatasetRequest) Reset() {
+	*x = EvaluateDatasetRequest{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[3]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
 }
 
-func (x *EvaluateInstancesRequest) GetFulfillmentInput() *FulfillmentInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_FulfillmentInput); ok {
-		return x.FulfillmentInput
-	}
-	return nil
+func (x *EvaluateDatasetRequest) String() string {
+	return protoimpl.X.MessageStringOf(x)
 }
 
-func (x *EvaluateInstancesRequest) GetSummarizationQualityInput() *SummarizationQualityInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_SummarizationQualityInput); ok {
-		return x.SummarizationQualityInput
+func (*EvaluateDatasetRequest) ProtoMessage() {}
+
+func (x *EvaluateDatasetRequest) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[3]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
 	}
-	return nil
+	return mi.MessageOf(x)
 }
 
-func (x *EvaluateInstancesRequest) GetPairwiseSummarizationQualityInput() *PairwiseSummarizationQualityInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_PairwiseSummarizationQualityInput); ok {
-		return x.PairwiseSummarizationQualityInput
-	}
-	return nil
+// Deprecated: Use EvaluateDatasetRequest.ProtoReflect.Descriptor instead.
+func (*EvaluateDatasetRequest) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{3}
 }
 
-func (x *EvaluateInstancesRequest) GetSummarizationHelpfulnessInput() *SummarizationHelpfulnessInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_SummarizationHelpfulnessInput); ok {
-		return x.SummarizationHelpfulnessInput
+func (x *EvaluateDatasetRequest) GetLocation() string {
+	if x != nil {
+		return x.Location
 	}
-	return nil
+	return ""
 }
 
-func (x *EvaluateInstancesRequest) GetSummarizationVerbosityInput() *SummarizationVerbosityInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_SummarizationVerbosityInput); ok {
-		return x.SummarizationVerbosityInput
+func (x *EvaluateDatasetRequest) GetDataset() *EvaluationDataset {
+	if x != nil {
+		return x.Dataset
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetQuestionAnsweringQualityInput() *QuestionAnsweringQualityInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_QuestionAnsweringQualityInput); ok {
-		return x.QuestionAnsweringQualityInput
+func (x *EvaluateDatasetRequest) GetMetrics() []*Metric {
+	if x != nil {
+		return x.Metrics
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetPairwiseQuestionAnsweringQualityInput() *PairwiseQuestionAnsweringQualityInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput); ok {
-		return x.PairwiseQuestionAnsweringQualityInput
+func (x *EvaluateDatasetRequest) GetOutputConfig() *OutputConfig {
+	if x != nil {
+		return x.OutputConfig
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetQuestionAnsweringRelevanceInput() *QuestionAnsweringRelevanceInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_QuestionAnsweringRelevanceInput); ok {
-		return x.QuestionAnsweringRelevanceInput
+func (x *EvaluateDatasetRequest) GetAutoraterConfig() *AutoraterConfig {
+	if x != nil {
+		return x.AutoraterConfig
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetQuestionAnsweringHelpfulnessInput() *QuestionAnsweringHelpfulnessInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput); ok {
-		return x.QuestionAnsweringHelpfulnessInput
-	}
-	return nil
+// Config for evaluation output.
+type OutputConfig struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// The destination for evaluation output.
+	//
+	// Types that are assignable to Destination:
+	//
+	//	*OutputConfig_GcsDestination
+	Destination isOutputConfig_Destination `protobuf_oneof:"destination"`
 }
 
-func (x *EvaluateInstancesRequest) GetQuestionAnsweringCorrectnessInput() *QuestionAnsweringCorrectnessInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput); ok {
-		return x.QuestionAnsweringCorrectnessInput
-	}
-	return nil
+func (x *OutputConfig) Reset() {
+	*x = OutputConfig{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[4]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
 }
 
-func (x *EvaluateInstancesRequest) GetPointwiseMetricInput() *PointwiseMetricInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_PointwiseMetricInput); ok {
-		return x.PointwiseMetricInput
-	}
-	return nil
+func (x *OutputConfig) String() string {
+	return protoimpl.X.MessageStringOf(x)
 }
 
-func (x *EvaluateInstancesRequest) GetPairwiseMetricInput() *PairwiseMetricInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_PairwiseMetricInput); ok {
-		return x.PairwiseMetricInput
+func (*OutputConfig) ProtoMessage() {}
+
+func (x *OutputConfig) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[4]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
 	}
-	return nil
+	return mi.MessageOf(x)
 }
 
-func (x *EvaluateInstancesRequest) GetToolCallValidInput() *ToolCallValidInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ToolCallValidInput); ok {
-		return x.ToolCallValidInput
-	}
-	return nil
+// Deprecated: Use OutputConfig.ProtoReflect.Descriptor instead.
+func (*OutputConfig) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{4}
 }
 
-func (x *EvaluateInstancesRequest) GetToolNameMatchInput() *ToolNameMatchInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ToolNameMatchInput); ok {
-		return x.ToolNameMatchInput
+func (m *OutputConfig) GetDestination() isOutputConfig_Destination {
+	if m != nil {
+		return m.Destination
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetToolParameterKeyMatchInput() *ToolParameterKeyMatchInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ToolParameterKeyMatchInput); ok {
-		return x.ToolParameterKeyMatchInput
+func (x *OutputConfig) GetGcsDestination() *GcsDestination {
+	if x, ok := x.GetDestination().(*OutputConfig_GcsDestination); ok {
+		return x.GcsDestination
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetToolParameterKvMatchInput() *ToolParameterKVMatchInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ToolParameterKvMatchInput); ok {
-		return x.ToolParameterKvMatchInput
-	}
-	return nil
+type isOutputConfig_Destination interface {
+	isOutputConfig_Destination()
 }
 
-func (x *EvaluateInstancesRequest) GetCometInput() *CometInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_CometInput); ok {
-		return x.CometInput
-	}
-	return nil
+type OutputConfig_GcsDestination struct {
+	// Cloud storage destination for evaluation output.
+	GcsDestination *GcsDestination `protobuf:"bytes,1,opt,name=gcs_destination,json=gcsDestination,proto3,oneof"`
 }
 
-func (x *EvaluateInstancesRequest) GetMetricxInput() *MetricxInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_MetricxInput); ok {
-		return x.MetricxInput
-	}
-	return nil
+func (*OutputConfig_GcsDestination) isOutputConfig_Destination() {}
+
+// The metric used for dataset level evaluation.
+type Metric struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// The metric spec used for evaluation.
+	//
+	// Types that are assignable to MetricSpec:
+	//
+	//	*Metric_PointwiseMetricSpec
+	//	*Metric_PairwiseMetricSpec
+	//	*Metric_ExactMatchSpec
+	//	*Metric_BleuSpec
+	//	*Metric_RougeSpec
+	MetricSpec isMetric_MetricSpec `protobuf_oneof:"metric_spec"`
+	// Optional. The aggregation metrics to use.
+	AggregationMetrics []Metric_AggregationMetric `protobuf:"varint,1,rep,packed,name=aggregation_metrics,json=aggregationMetrics,proto3,enum=google.cloud.aiplatform.v1beta1.Metric_AggregationMetric" json:"aggregation_metrics,omitempty"`
+}
+
+func (x *Metric) Reset() {
+	*x = Metric{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[5]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
 }
 
-func (x *EvaluateInstancesRequest) GetTrajectoryExactMatchInput() *TrajectoryExactMatchInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryExactMatchInput); ok {
-		return x.TrajectoryExactMatchInput
+func (x *Metric) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*Metric) ProtoMessage() {}
+
+func (x *Metric) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[5]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
 	}
-	return nil
+	return mi.MessageOf(x)
 }
 
-func (x *EvaluateInstancesRequest) GetTrajectoryInOrderMatchInput() *TrajectoryInOrderMatchInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryInOrderMatchInput); ok {
-		return x.TrajectoryInOrderMatchInput
+// Deprecated: Use Metric.ProtoReflect.Descriptor instead.
+func (*Metric) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{5}
+}
+
+func (m *Metric) GetMetricSpec() isMetric_MetricSpec {
+	if m != nil {
+		return m.MetricSpec
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetTrajectoryAnyOrderMatchInput() *TrajectoryAnyOrderMatchInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryAnyOrderMatchInput); ok {
-		return x.TrajectoryAnyOrderMatchInput
+func (x *Metric) GetPointwiseMetricSpec() *PointwiseMetricSpec {
+	if x, ok := x.GetMetricSpec().(*Metric_PointwiseMetricSpec); ok {
+		return x.PointwiseMetricSpec
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetTrajectoryPrecisionInput() *TrajectoryPrecisionInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryPrecisionInput); ok {
-		return x.TrajectoryPrecisionInput
+func (x *Metric) GetPairwiseMetricSpec() *PairwiseMetricSpec {
+	if x, ok := x.GetMetricSpec().(*Metric_PairwiseMetricSpec); ok {
+		return x.PairwiseMetricSpec
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetTrajectoryRecallInput() *TrajectoryRecallInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryRecallInput); ok {
-		return x.TrajectoryRecallInput
+func (x *Metric) GetExactMatchSpec() *ExactMatchSpec {
+	if x, ok := x.GetMetricSpec().(*Metric_ExactMatchSpec); ok {
+		return x.ExactMatchSpec
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetTrajectorySingleToolUseInput() *TrajectorySingleToolUseInput {
-	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectorySingleToolUseInput); ok {
-		return x.TrajectorySingleToolUseInput
+func (x *Metric) GetBleuSpec() *BleuSpec {
+	if x, ok := x.GetMetricSpec().(*Metric_BleuSpec); ok {
+		return x.BleuSpec
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetLocation() string {
-	if x != nil {
-		return x.Location
+func (x *Metric) GetRougeSpec() *RougeSpec {
+	if x, ok := x.GetMetricSpec().(*Metric_RougeSpec); ok {
+		return x.RougeSpec
 	}
-	return ""
+	return nil
 }
 
-func (x *EvaluateInstancesRequest) GetAutoraterConfig() *AutoraterConfig {
+func (x *Metric) GetAggregationMetrics() []Metric_AggregationMetric {
 	if x != nil {
-		return x.AutoraterConfig
+		return x.AggregationMetrics
 	}
 	return nil
 }
 
-type isEvaluateInstancesRequest_MetricInputs interface {
-	isEvaluateInstancesRequest_MetricInputs()
-}
-
-type EvaluateInstancesRequest_ExactMatchInput struct {
-	// Auto metric instances.
-	// Instances and metric spec for exact match metric.
-	ExactMatchInput *ExactMatchInput `protobuf:"bytes,2,opt,name=exact_match_input,json=exactMatchInput,proto3,oneof"`
-}
-
-type EvaluateInstancesRequest_BleuInput struct {
-	// Instances and metric spec for bleu metric.
-	BleuInput *BleuInput `protobuf:"bytes,3,opt,name=bleu_input,json=bleuInput,proto3,oneof"`
+type isMetric_MetricSpec interface {
+	isMetric_MetricSpec()
 }
 
-type EvaluateInstancesRequest_RougeInput struct {
-	// Instances and metric spec for rouge metric.
-	RougeInput *RougeInput `protobuf:"bytes,4,opt,name=rouge_input,json=rougeInput,proto3,oneof"`
+type Metric_PointwiseMetricSpec struct {
+	// Spec for pointwise metric.
+	PointwiseMetricSpec *PointwiseMetricSpec `protobuf:"bytes,2,opt,name=pointwise_metric_spec,json=pointwiseMetricSpec,proto3,oneof"`
 }
 
-type EvaluateInstancesRequest_FluencyInput struct {
-	// LLM-based metric instance.
-	// General text generation metrics, applicable to other categories.
-	// Input for fluency metric.
-	FluencyInput *FluencyInput `protobuf:"bytes,5,opt,name=fluency_input,json=fluencyInput,proto3,oneof"`
+type Metric_PairwiseMetricSpec struct {
+	// Spec for pairwise metric.
+	PairwiseMetricSpec *PairwiseMetricSpec `protobuf:"bytes,3,opt,name=pairwise_metric_spec,json=pairwiseMetricSpec,proto3,oneof"`
 }
 
-type EvaluateInstancesRequest_CoherenceInput struct {
-	// Input for coherence metric.
-	CoherenceInput *CoherenceInput `protobuf:"bytes,6,opt,name=coherence_input,json=coherenceInput,proto3,oneof"`
+type Metric_ExactMatchSpec struct {
+	// Spec for exact match metric.
+	ExactMatchSpec *ExactMatchSpec `protobuf:"bytes,4,opt,name=exact_match_spec,json=exactMatchSpec,proto3,oneof"`
 }
 
-type EvaluateInstancesRequest_SafetyInput struct {
-	// Input for safety metric.
-	SafetyInput *SafetyInput `protobuf:"bytes,8,opt,name=safety_input,json=safetyInput,proto3,oneof"`
+type Metric_BleuSpec struct {
+	// Spec for bleu metric.
+	BleuSpec *BleuSpec `protobuf:"bytes,5,opt,name=bleu_spec,json=bleuSpec,proto3,oneof"`
 }
 
-type EvaluateInstancesRequest_GroundednessInput struct {
-	// Input for groundedness metric.
-	GroundednessInput *GroundednessInput `protobuf:"bytes,9,opt,name=groundedness_input,json=groundednessInput,proto3,oneof"`
+type Metric_RougeSpec struct {
+	// Spec for rouge metric.
+	RougeSpec *RougeSpec `protobuf:"bytes,6,opt,name=rouge_spec,json=rougeSpec,proto3,oneof"`
 }
 
-type EvaluateInstancesRequest_FulfillmentInput struct {
-	// Input for fulfillment metric.
-	FulfillmentInput *FulfillmentInput `protobuf:"bytes,12,opt,name=fulfillment_input,json=fulfillmentInput,proto3,oneof"`
-}
+func (*Metric_PointwiseMetricSpec) isMetric_MetricSpec() {}
 
-type EvaluateInstancesRequest_SummarizationQualityInput struct {
-	// Input for summarization quality metric.
-	SummarizationQualityInput *SummarizationQualityInput `protobuf:"bytes,7,opt,name=summarization_quality_input,json=summarizationQualityInput,proto3,oneof"`
-}
+func (*Metric_PairwiseMetricSpec) isMetric_MetricSpec() {}
 
-type EvaluateInstancesRequest_PairwiseSummarizationQualityInput struct {
-	// Input for pairwise summarization quality metric.
-	PairwiseSummarizationQualityInput *PairwiseSummarizationQualityInput `protobuf:"bytes,23,opt,name=pairwise_summarization_quality_input,json=pairwiseSummarizationQualityInput,proto3,oneof"`
-}
+func (*Metric_ExactMatchSpec) isMetric_MetricSpec() {}
 
-type EvaluateInstancesRequest_SummarizationHelpfulnessInput struct {
-	// Input for summarization helpfulness metric.
-	SummarizationHelpfulnessInput *SummarizationHelpfulnessInput `protobuf:"bytes,14,opt,name=summarization_helpfulness_input,json=summarizationHelpfulnessInput,proto3,oneof"`
-}
+func (*Metric_BleuSpec) isMetric_MetricSpec() {}
 
-type EvaluateInstancesRequest_SummarizationVerbosityInput struct {
-	// Input for summarization verbosity metric.
-	SummarizationVerbosityInput *SummarizationVerbosityInput `protobuf:"bytes,15,opt,name=summarization_verbosity_input,json=summarizationVerbosityInput,proto3,oneof"`
-}
+func (*Metric_RougeSpec) isMetric_MetricSpec() {}
 
-type EvaluateInstancesRequest_QuestionAnsweringQualityInput struct {
-	// Input for question answering quality metric.
-	QuestionAnsweringQualityInput *QuestionAnsweringQualityInput `protobuf:"bytes,10,opt,name=question_answering_quality_input,json=questionAnsweringQualityInput,proto3,oneof"`
-}
+// The dataset used for evaluation.
+type EvaluationDataset struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
 
-type EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput struct {
-	// Input for pairwise question answering quality metric.
-	PairwiseQuestionAnsweringQualityInput *PairwiseQuestionAnsweringQualityInput `protobuf:"bytes,24,opt,name=pairwise_question_answering_quality_input,json=pairwiseQuestionAnsweringQualityInput,proto3,oneof"`
+	// The source of the dataset.
+	//
+	// Types that are assignable to Source:
+	//
+	//	*EvaluationDataset_GcsSource
+	//	*EvaluationDataset_BigquerySource
+	Source isEvaluationDataset_Source `protobuf_oneof:"source"`
 }
 
-type EvaluateInstancesRequest_QuestionAnsweringRelevanceInput struct {
-	// Input for question answering relevance metric.
-	QuestionAnsweringRelevanceInput *QuestionAnsweringRelevanceInput `protobuf:"bytes,16,opt,name=question_answering_relevance_input,json=questionAnsweringRelevanceInput,proto3,oneof"`
+func (x *EvaluationDataset) Reset() {
+	*x = EvaluationDataset{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[6]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
 }
 
-type EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput struct {
-	// Input for question answering helpfulness
-	// metric.
-	QuestionAnsweringHelpfulnessInput *QuestionAnsweringHelpfulnessInput `protobuf:"bytes,17,opt,name=question_answering_helpfulness_input,json=questionAnsweringHelpfulnessInput,proto3,oneof"`
+func (x *EvaluationDataset) String() string {
+	return protoimpl.X.MessageStringOf(x)
 }
 
-type EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput struct {
-	// Input for question answering correctness
-	// metric.
-	QuestionAnsweringCorrectnessInput *QuestionAnsweringCorrectnessInput `protobuf:"bytes,18,opt,name=question_answering_correctness_input,json=questionAnsweringCorrectnessInput,proto3,oneof"`
-}
+func (*EvaluationDataset) ProtoMessage() {}
 
-type EvaluateInstancesRequest_PointwiseMetricInput struct {
-	// Input for pointwise metric.
-	PointwiseMetricInput *PointwiseMetricInput `protobuf:"bytes,28,opt,name=pointwise_metric_input,json=pointwiseMetricInput,proto3,oneof"`
+func (x *EvaluationDataset) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[6]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
 }
 
-type EvaluateInstancesRequest_PairwiseMetricInput struct {
-	// Input for pairwise metric.
-	PairwiseMetricInput *PairwiseMetricInput `protobuf:"bytes,29,opt,name=pairwise_metric_input,json=pairwiseMetricInput,proto3,oneof"`
+// Deprecated: Use EvaluationDataset.ProtoReflect.Descriptor instead.
+func (*EvaluationDataset) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{6}
 }
 
-type EvaluateInstancesRequest_ToolCallValidInput struct {
-	// Tool call metric instances.
-	// Input for tool call valid metric.
-	ToolCallValidInput *ToolCallValidInput `protobuf:"bytes,19,opt,name=tool_call_valid_input,json=toolCallValidInput,proto3,oneof"`
+func (m *EvaluationDataset) GetSource() isEvaluationDataset_Source {
+	if m != nil {
+		return m.Source
+	}
+	return nil
 }
 
-type EvaluateInstancesRequest_ToolNameMatchInput struct {
-	// Input for tool name match metric.
-	ToolNameMatchInput *ToolNameMatchInput `protobuf:"bytes,20,opt,name=tool_name_match_input,json=toolNameMatchInput,proto3,oneof"`
+func (x *EvaluationDataset) GetGcsSource() *GcsSource {
+	if x, ok := x.GetSource().(*EvaluationDataset_GcsSource); ok {
+		return x.GcsSource
+	}
+	return nil
 }
 
-type EvaluateInstancesRequest_ToolParameterKeyMatchInput struct {
-	// Input for tool parameter key match metric.
-	ToolParameterKeyMatchInput *ToolParameterKeyMatchInput `protobuf:"bytes,21,opt,name=tool_parameter_key_match_input,json=toolParameterKeyMatchInput,proto3,oneof"`
+func (x *EvaluationDataset) GetBigquerySource() *BigQuerySource {
+	if x, ok := x.GetSource().(*EvaluationDataset_BigquerySource); ok {
+		return x.BigquerySource
+	}
+	return nil
 }
 
-type EvaluateInstancesRequest_ToolParameterKvMatchInput struct {
-	// Input for tool parameter key value match metric.
-	ToolParameterKvMatchInput *ToolParameterKVMatchInput `protobuf:"bytes,22,opt,name=tool_parameter_kv_match_input,json=toolParameterKvMatchInput,proto3,oneof"`
+type isEvaluationDataset_Source interface {
+	isEvaluationDataset_Source()
 }
 
-type EvaluateInstancesRequest_CometInput struct {
-	// Translation metrics.
-	// Input for Comet metric.
-	CometInput *CometInput `protobuf:"bytes,31,opt,name=comet_input,json=cometInput,proto3,oneof"`
+type EvaluationDataset_GcsSource struct {
+	// Cloud storage source holds the dataset.
+	GcsSource *GcsSource `protobuf:"bytes,1,opt,name=gcs_source,json=gcsSource,proto3,oneof"`
 }
 
-type EvaluateInstancesRequest_MetricxInput struct {
-	// Input for Metricx metric.
-	MetricxInput *MetricxInput `protobuf:"bytes,32,opt,name=metricx_input,json=metricxInput,proto3,oneof"`
+type EvaluationDataset_BigquerySource struct {
+	// BigQuery source holds the dataset.
+	BigquerySource *BigQuerySource `protobuf:"bytes,2,opt,name=bigquery_source,json=bigquerySource,proto3,oneof"`
 }
 
-type EvaluateInstancesRequest_TrajectoryExactMatchInput struct {
-	// Input for trajectory exact match metric.
-	TrajectoryExactMatchInput *TrajectoryExactMatchInput `protobuf:"bytes,33,opt,name=trajectory_exact_match_input,json=trajectoryExactMatchInput,proto3,oneof"`
-}
+func (*EvaluationDataset_GcsSource) isEvaluationDataset_Source() {}
 
-type EvaluateInstancesRequest_TrajectoryInOrderMatchInput struct {
-	// Input for trajectory in order match metric.
-	TrajectoryInOrderMatchInput *TrajectoryInOrderMatchInput `protobuf:"bytes,34,opt,name=trajectory_in_order_match_input,json=trajectoryInOrderMatchInput,proto3,oneof"`
-}
+func (*EvaluationDataset_BigquerySource) isEvaluationDataset_Source() {}
 
-type EvaluateInstancesRequest_TrajectoryAnyOrderMatchInput struct {
-	// Input for trajectory match any order metric.
-	TrajectoryAnyOrderMatchInput *TrajectoryAnyOrderMatchInput `protobuf:"bytes,35,opt,name=trajectory_any_order_match_input,json=trajectoryAnyOrderMatchInput,proto3,oneof"`
-}
+// The configs for autorater. This is applicable to both EvaluateInstances and
+// EvaluateDataset.
+type AutoraterConfig struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
 
-type EvaluateInstancesRequest_TrajectoryPrecisionInput struct {
-	// Input for trajectory precision metric.
-	TrajectoryPrecisionInput *TrajectoryPrecisionInput `protobuf:"bytes,37,opt,name=trajectory_precision_input,json=trajectoryPrecisionInput,proto3,oneof"`
-}
-
-type EvaluateInstancesRequest_TrajectoryRecallInput struct {
-	// Input for trajectory recall metric.
-	TrajectoryRecallInput *TrajectoryRecallInput `protobuf:"bytes,38,opt,name=trajectory_recall_input,json=trajectoryRecallInput,proto3,oneof"`
-}
-
-type EvaluateInstancesRequest_TrajectorySingleToolUseInput struct {
-	// Input for trajectory single tool use metric.
-	TrajectorySingleToolUseInput *TrajectorySingleToolUseInput `protobuf:"bytes,39,opt,name=trajectory_single_tool_use_input,json=trajectorySingleToolUseInput,proto3,oneof"`
-}
-
-func (*EvaluateInstancesRequest_ExactMatchInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_BleuInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_RougeInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_FluencyInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_CoherenceInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_SafetyInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_GroundednessInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_FulfillmentInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_SummarizationQualityInput) isEvaluateInstancesRequest_MetricInputs() {
-}
-
-func (*EvaluateInstancesRequest_PairwiseSummarizationQualityInput) isEvaluateInstancesRequest_MetricInputs() {
-}
-
-func (*EvaluateInstancesRequest_SummarizationHelpfulnessInput) isEvaluateInstancesRequest_MetricInputs() {
-}
-
-func (*EvaluateInstancesRequest_SummarizationVerbosityInput) isEvaluateInstancesRequest_MetricInputs() {
-}
-
-func (*EvaluateInstancesRequest_QuestionAnsweringQualityInput) isEvaluateInstancesRequest_MetricInputs() {
-}
-
-func (*EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput) isEvaluateInstancesRequest_MetricInputs() {
-}
-
-func (*EvaluateInstancesRequest_QuestionAnsweringRelevanceInput) isEvaluateInstancesRequest_MetricInputs() {
+	// Optional. Number of samples for each instance in the dataset.
+	// If not specified, the default is 4. Minimum value is 1, maximum value
+	// is 32.
+	SamplingCount *int32 `protobuf:"varint,1,opt,name=sampling_count,json=samplingCount,proto3,oneof" json:"sampling_count,omitempty"`
+	// Optional. Whether to flip the candidate and baseline responses.
+	// This is only applicable to the pairwise metric. If enabled, also provide
+	// PairwiseMetricSpec.candidate_response_field_name and
+	// PairwiseMetricSpec.baseline_response_field_name. When rendering
+	// PairwiseMetricSpec.metric_prompt_template, the candidate and baseline
+	// fields will be flipped for half of the samples to reduce bias.
+	FlipEnabled *bool `protobuf:"varint,2,opt,name=flip_enabled,json=flipEnabled,proto3,oneof" json:"flip_enabled,omitempty"`
+	// Optional. The fully qualified name of the publisher model or tuned
+	// autorater endpoint to use.
+	//
+	// Publisher model format:
+	// `projects/{project}/locations/{location}/publishers/*/models/*`
+	//
+	// Tuned model endpoint format:
+	// `projects/{project}/locations/{location}/endpoints/{endpoint}`
+	AutoraterModel string `protobuf:"bytes,3,opt,name=autorater_model,json=autoraterModel,proto3" json:"autorater_model,omitempty"`
 }
 
-func (*EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput) isEvaluateInstancesRequest_MetricInputs() {
+func (x *AutoraterConfig) Reset() {
+	*x = AutoraterConfig{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[7]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
 }
 
-func (*EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput) isEvaluateInstancesRequest_MetricInputs() {
+func (x *AutoraterConfig) String() string {
+	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*EvaluateInstancesRequest_PointwiseMetricInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_PairwiseMetricInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_ToolCallValidInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_ToolNameMatchInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_ToolParameterKeyMatchInput) isEvaluateInstancesRequest_MetricInputs() {
-}
+func (*AutoraterConfig) ProtoMessage() {}
 
-func (*EvaluateInstancesRequest_ToolParameterKvMatchInput) isEvaluateInstancesRequest_MetricInputs() {
+func (x *AutoraterConfig) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[7]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
 }
 
-func (*EvaluateInstancesRequest_CometInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_MetricxInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_TrajectoryExactMatchInput) isEvaluateInstancesRequest_MetricInputs() {
+// Deprecated: Use AutoraterConfig.ProtoReflect.Descriptor instead.
+func (*AutoraterConfig) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{7}
 }
 
-func (*EvaluateInstancesRequest_TrajectoryInOrderMatchInput) isEvaluateInstancesRequest_MetricInputs() {
+func (x *AutoraterConfig) GetSamplingCount() int32 {
+	if x != nil && x.SamplingCount != nil {
+		return *x.SamplingCount
+	}
+	return 0
 }
 
-func (*EvaluateInstancesRequest_TrajectoryAnyOrderMatchInput) isEvaluateInstancesRequest_MetricInputs() {
+func (x *AutoraterConfig) GetFlipEnabled() bool {
+	if x != nil && x.FlipEnabled != nil {
+		return *x.FlipEnabled
+	}
+	return false
 }
 
-func (*EvaluateInstancesRequest_TrajectoryPrecisionInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_TrajectoryRecallInput) isEvaluateInstancesRequest_MetricInputs() {}
-
-func (*EvaluateInstancesRequest_TrajectorySingleToolUseInput) isEvaluateInstancesRequest_MetricInputs() {
+func (x *AutoraterConfig) GetAutoraterModel() string {
+	if x != nil {
+		return x.AutoraterModel
+	}
+	return ""
 }
 
-// Response message for EvaluationService.EvaluateInstances.
-type EvaluateInstancesResponse struct {
+// Request message for EvaluationService.EvaluateInstances.
+type EvaluateInstancesRequest struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Evaluation results will be served in the same order as presented in
-	// EvaluationRequest.instances.
+	// Instances and specs for evaluation
 	//
-	// Types that are assignable to EvaluationResults:
+	// Types that are assignable to MetricInputs:
 	//
-	//	*EvaluateInstancesResponse_ExactMatchResults
-	//	*EvaluateInstancesResponse_BleuResults
-	//	*EvaluateInstancesResponse_RougeResults
-	//	*EvaluateInstancesResponse_FluencyResult
-	//	*EvaluateInstancesResponse_CoherenceResult
-	//	*EvaluateInstancesResponse_SafetyResult
-	//	*EvaluateInstancesResponse_GroundednessResult
-	//	*EvaluateInstancesResponse_FulfillmentResult
-	//	*EvaluateInstancesResponse_SummarizationQualityResult
-	//	*EvaluateInstancesResponse_PairwiseSummarizationQualityResult
-	//	*EvaluateInstancesResponse_SummarizationHelpfulnessResult
-	//	*EvaluateInstancesResponse_SummarizationVerbosityResult
-	//	*EvaluateInstancesResponse_QuestionAnsweringQualityResult
-	//	*EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult
-	//	*EvaluateInstancesResponse_QuestionAnsweringRelevanceResult
-	//	*EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult
-	//	*EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult
-	//	*EvaluateInstancesResponse_PointwiseMetricResult
-	//	*EvaluateInstancesResponse_PairwiseMetricResult
-	//	*EvaluateInstancesResponse_ToolCallValidResults
-	//	*EvaluateInstancesResponse_ToolNameMatchResults
-	//	*EvaluateInstancesResponse_ToolParameterKeyMatchResults
-	//	*EvaluateInstancesResponse_ToolParameterKvMatchResults
-	//	*EvaluateInstancesResponse_CometResult
-	//	*EvaluateInstancesResponse_MetricxResult
-	//	*EvaluateInstancesResponse_TrajectoryExactMatchResults
-	//	*EvaluateInstancesResponse_TrajectoryInOrderMatchResults
-	//	*EvaluateInstancesResponse_TrajectoryAnyOrderMatchResults
-	//	*EvaluateInstancesResponse_TrajectoryPrecisionResults
-	//	*EvaluateInstancesResponse_TrajectoryRecallResults
-	//	*EvaluateInstancesResponse_TrajectorySingleToolUseResults
-	EvaluationResults isEvaluateInstancesResponse_EvaluationResults `protobuf_oneof:"evaluation_results"`
+	//	*EvaluateInstancesRequest_ExactMatchInput
+	//	*EvaluateInstancesRequest_BleuInput
+	//	*EvaluateInstancesRequest_RougeInput
+	//	*EvaluateInstancesRequest_FluencyInput
+	//	*EvaluateInstancesRequest_CoherenceInput
+	//	*EvaluateInstancesRequest_SafetyInput
+	//	*EvaluateInstancesRequest_GroundednessInput
+	//	*EvaluateInstancesRequest_FulfillmentInput
+	//	*EvaluateInstancesRequest_SummarizationQualityInput
+	//	*EvaluateInstancesRequest_PairwiseSummarizationQualityInput
+	//	*EvaluateInstancesRequest_SummarizationHelpfulnessInput
+	//	*EvaluateInstancesRequest_SummarizationVerbosityInput
+	//	*EvaluateInstancesRequest_QuestionAnsweringQualityInput
+	//	*EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput
+	//	*EvaluateInstancesRequest_QuestionAnsweringRelevanceInput
+	//	*EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput
+	//	*EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput
+	//	*EvaluateInstancesRequest_PointwiseMetricInput
+	//	*EvaluateInstancesRequest_PairwiseMetricInput
+	//	*EvaluateInstancesRequest_ToolCallValidInput
+	//	*EvaluateInstancesRequest_ToolNameMatchInput
+	//	*EvaluateInstancesRequest_ToolParameterKeyMatchInput
+	//	*EvaluateInstancesRequest_ToolParameterKvMatchInput
+	//	*EvaluateInstancesRequest_CometInput
+	//	*EvaluateInstancesRequest_MetricxInput
+	//	*EvaluateInstancesRequest_TrajectoryExactMatchInput
+	//	*EvaluateInstancesRequest_TrajectoryInOrderMatchInput
+	//	*EvaluateInstancesRequest_TrajectoryAnyOrderMatchInput
+	//	*EvaluateInstancesRequest_TrajectoryPrecisionInput
+	//	*EvaluateInstancesRequest_TrajectoryRecallInput
+	//	*EvaluateInstancesRequest_TrajectorySingleToolUseInput
+	MetricInputs isEvaluateInstancesRequest_MetricInputs `protobuf_oneof:"metric_inputs"`
+	// Required. The resource name of the Location to evaluate the instances.
+	// Format: `projects/{project}/locations/{location}`
+	Location string `protobuf:"bytes,1,opt,name=location,proto3" json:"location,omitempty"`
+	// Optional. Autorater config used for evaluation.
+	AutoraterConfig *AutoraterConfig `protobuf:"bytes,30,opt,name=autorater_config,json=autoraterConfig,proto3" json:"autorater_config,omitempty"`
 }
 
-func (x *EvaluateInstancesResponse) Reset() {
-	*x = EvaluateInstancesResponse{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[2]
+func (x *EvaluateInstancesRequest) Reset() {
+	*x = EvaluateInstancesRequest{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[8]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *EvaluateInstancesResponse) String() string {
+func (x *EvaluateInstancesRequest) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*EvaluateInstancesResponse) ProtoMessage() {}
+func (*EvaluateInstancesRequest) ProtoMessage() {}
 
-func (x *EvaluateInstancesResponse) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[2]
+func (x *EvaluateInstancesRequest) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[8]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -915,514 +984,552 @@ func (x *EvaluateInstancesResponse) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use EvaluateInstancesResponse.ProtoReflect.Descriptor instead.
-func (*EvaluateInstancesResponse) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{2}
+// Deprecated: Use EvaluateInstancesRequest.ProtoReflect.Descriptor instead.
+func (*EvaluateInstancesRequest) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{8}
 }
 
-func (m *EvaluateInstancesResponse) GetEvaluationResults() isEvaluateInstancesResponse_EvaluationResults {
+func (m *EvaluateInstancesRequest) GetMetricInputs() isEvaluateInstancesRequest_MetricInputs {
 	if m != nil {
-		return m.EvaluationResults
+		return m.MetricInputs
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetExactMatchResults() *ExactMatchResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ExactMatchResults); ok {
-		return x.ExactMatchResults
+func (x *EvaluateInstancesRequest) GetExactMatchInput() *ExactMatchInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ExactMatchInput); ok {
+		return x.ExactMatchInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetBleuResults() *BleuResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_BleuResults); ok {
-		return x.BleuResults
+func (x *EvaluateInstancesRequest) GetBleuInput() *BleuInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_BleuInput); ok {
+		return x.BleuInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetRougeResults() *RougeResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_RougeResults); ok {
-		return x.RougeResults
+func (x *EvaluateInstancesRequest) GetRougeInput() *RougeInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_RougeInput); ok {
+		return x.RougeInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetFluencyResult() *FluencyResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_FluencyResult); ok {
-		return x.FluencyResult
+func (x *EvaluateInstancesRequest) GetFluencyInput() *FluencyInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_FluencyInput); ok {
+		return x.FluencyInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetCoherenceResult() *CoherenceResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_CoherenceResult); ok {
-		return x.CoherenceResult
+func (x *EvaluateInstancesRequest) GetCoherenceInput() *CoherenceInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_CoherenceInput); ok {
+		return x.CoherenceInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetSafetyResult() *SafetyResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_SafetyResult); ok {
-		return x.SafetyResult
+func (x *EvaluateInstancesRequest) GetSafetyInput() *SafetyInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_SafetyInput); ok {
+		return x.SafetyInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetGroundednessResult() *GroundednessResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_GroundednessResult); ok {
-		return x.GroundednessResult
+func (x *EvaluateInstancesRequest) GetGroundednessInput() *GroundednessInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_GroundednessInput); ok {
+		return x.GroundednessInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetFulfillmentResult() *FulfillmentResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_FulfillmentResult); ok {
-		return x.FulfillmentResult
+func (x *EvaluateInstancesRequest) GetFulfillmentInput() *FulfillmentInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_FulfillmentInput); ok {
+		return x.FulfillmentInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetSummarizationQualityResult() *SummarizationQualityResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_SummarizationQualityResult); ok {
-		return x.SummarizationQualityResult
+func (x *EvaluateInstancesRequest) GetSummarizationQualityInput() *SummarizationQualityInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_SummarizationQualityInput); ok {
+		return x.SummarizationQualityInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetPairwiseSummarizationQualityResult() *PairwiseSummarizationQualityResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_PairwiseSummarizationQualityResult); ok {
-		return x.PairwiseSummarizationQualityResult
+func (x *EvaluateInstancesRequest) GetPairwiseSummarizationQualityInput() *PairwiseSummarizationQualityInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_PairwiseSummarizationQualityInput); ok {
+		return x.PairwiseSummarizationQualityInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetSummarizationHelpfulnessResult() *SummarizationHelpfulnessResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_SummarizationHelpfulnessResult); ok {
-		return x.SummarizationHelpfulnessResult
+func (x *EvaluateInstancesRequest) GetSummarizationHelpfulnessInput() *SummarizationHelpfulnessInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_SummarizationHelpfulnessInput); ok {
+		return x.SummarizationHelpfulnessInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetSummarizationVerbosityResult() *SummarizationVerbosityResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_SummarizationVerbosityResult); ok {
-		return x.SummarizationVerbosityResult
+func (x *EvaluateInstancesRequest) GetSummarizationVerbosityInput() *SummarizationVerbosityInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_SummarizationVerbosityInput); ok {
+		return x.SummarizationVerbosityInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetQuestionAnsweringQualityResult() *QuestionAnsweringQualityResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_QuestionAnsweringQualityResult); ok {
-		return x.QuestionAnsweringQualityResult
+func (x *EvaluateInstancesRequest) GetQuestionAnsweringQualityInput() *QuestionAnsweringQualityInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_QuestionAnsweringQualityInput); ok {
+		return x.QuestionAnsweringQualityInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetPairwiseQuestionAnsweringQualityResult() *PairwiseQuestionAnsweringQualityResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult); ok {
-		return x.PairwiseQuestionAnsweringQualityResult
+func (x *EvaluateInstancesRequest) GetPairwiseQuestionAnsweringQualityInput() *PairwiseQuestionAnsweringQualityInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput); ok {
+		return x.PairwiseQuestionAnsweringQualityInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetQuestionAnsweringRelevanceResult() *QuestionAnsweringRelevanceResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_QuestionAnsweringRelevanceResult); ok {
-		return x.QuestionAnsweringRelevanceResult
+func (x *EvaluateInstancesRequest) GetQuestionAnsweringRelevanceInput() *QuestionAnsweringRelevanceInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_QuestionAnsweringRelevanceInput); ok {
+		return x.QuestionAnsweringRelevanceInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetQuestionAnsweringHelpfulnessResult() *QuestionAnsweringHelpfulnessResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult); ok {
-		return x.QuestionAnsweringHelpfulnessResult
+func (x *EvaluateInstancesRequest) GetQuestionAnsweringHelpfulnessInput() *QuestionAnsweringHelpfulnessInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput); ok {
+		return x.QuestionAnsweringHelpfulnessInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetQuestionAnsweringCorrectnessResult() *QuestionAnsweringCorrectnessResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult); ok {
-		return x.QuestionAnsweringCorrectnessResult
+func (x *EvaluateInstancesRequest) GetQuestionAnsweringCorrectnessInput() *QuestionAnsweringCorrectnessInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput); ok {
+		return x.QuestionAnsweringCorrectnessInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetPointwiseMetricResult() *PointwiseMetricResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_PointwiseMetricResult); ok {
-		return x.PointwiseMetricResult
+func (x *EvaluateInstancesRequest) GetPointwiseMetricInput() *PointwiseMetricInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_PointwiseMetricInput); ok {
+		return x.PointwiseMetricInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetPairwiseMetricResult() *PairwiseMetricResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_PairwiseMetricResult); ok {
-		return x.PairwiseMetricResult
+func (x *EvaluateInstancesRequest) GetPairwiseMetricInput() *PairwiseMetricInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_PairwiseMetricInput); ok {
+		return x.PairwiseMetricInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetToolCallValidResults() *ToolCallValidResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ToolCallValidResults); ok {
-		return x.ToolCallValidResults
+func (x *EvaluateInstancesRequest) GetToolCallValidInput() *ToolCallValidInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ToolCallValidInput); ok {
+		return x.ToolCallValidInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetToolNameMatchResults() *ToolNameMatchResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ToolNameMatchResults); ok {
-		return x.ToolNameMatchResults
+func (x *EvaluateInstancesRequest) GetToolNameMatchInput() *ToolNameMatchInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ToolNameMatchInput); ok {
+		return x.ToolNameMatchInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetToolParameterKeyMatchResults() *ToolParameterKeyMatchResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ToolParameterKeyMatchResults); ok {
-		return x.ToolParameterKeyMatchResults
+func (x *EvaluateInstancesRequest) GetToolParameterKeyMatchInput() *ToolParameterKeyMatchInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ToolParameterKeyMatchInput); ok {
+		return x.ToolParameterKeyMatchInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetToolParameterKvMatchResults() *ToolParameterKVMatchResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ToolParameterKvMatchResults); ok {
-		return x.ToolParameterKvMatchResults
+func (x *EvaluateInstancesRequest) GetToolParameterKvMatchInput() *ToolParameterKVMatchInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_ToolParameterKvMatchInput); ok {
+		return x.ToolParameterKvMatchInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetCometResult() *CometResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_CometResult); ok {
-		return x.CometResult
+func (x *EvaluateInstancesRequest) GetCometInput() *CometInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_CometInput); ok {
+		return x.CometInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetMetricxResult() *MetricxResult {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_MetricxResult); ok {
-		return x.MetricxResult
+func (x *EvaluateInstancesRequest) GetMetricxInput() *MetricxInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_MetricxInput); ok {
+		return x.MetricxInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetTrajectoryExactMatchResults() *TrajectoryExactMatchResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryExactMatchResults); ok {
-		return x.TrajectoryExactMatchResults
+func (x *EvaluateInstancesRequest) GetTrajectoryExactMatchInput() *TrajectoryExactMatchInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryExactMatchInput); ok {
+		return x.TrajectoryExactMatchInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetTrajectoryInOrderMatchResults() *TrajectoryInOrderMatchResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryInOrderMatchResults); ok {
-		return x.TrajectoryInOrderMatchResults
+func (x *EvaluateInstancesRequest) GetTrajectoryInOrderMatchInput() *TrajectoryInOrderMatchInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryInOrderMatchInput); ok {
+		return x.TrajectoryInOrderMatchInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetTrajectoryAnyOrderMatchResults() *TrajectoryAnyOrderMatchResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryAnyOrderMatchResults); ok {
-		return x.TrajectoryAnyOrderMatchResults
+func (x *EvaluateInstancesRequest) GetTrajectoryAnyOrderMatchInput() *TrajectoryAnyOrderMatchInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryAnyOrderMatchInput); ok {
+		return x.TrajectoryAnyOrderMatchInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetTrajectoryPrecisionResults() *TrajectoryPrecisionResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryPrecisionResults); ok {
-		return x.TrajectoryPrecisionResults
+func (x *EvaluateInstancesRequest) GetTrajectoryPrecisionInput() *TrajectoryPrecisionInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryPrecisionInput); ok {
+		return x.TrajectoryPrecisionInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetTrajectoryRecallResults() *TrajectoryRecallResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryRecallResults); ok {
-		return x.TrajectoryRecallResults
+func (x *EvaluateInstancesRequest) GetTrajectoryRecallInput() *TrajectoryRecallInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectoryRecallInput); ok {
+		return x.TrajectoryRecallInput
 	}
 	return nil
 }
 
-func (x *EvaluateInstancesResponse) GetTrajectorySingleToolUseResults() *TrajectorySingleToolUseResults {
-	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectorySingleToolUseResults); ok {
-		return x.TrajectorySingleToolUseResults
+func (x *EvaluateInstancesRequest) GetTrajectorySingleToolUseInput() *TrajectorySingleToolUseInput {
+	if x, ok := x.GetMetricInputs().(*EvaluateInstancesRequest_TrajectorySingleToolUseInput); ok {
+		return x.TrajectorySingleToolUseInput
 	}
 	return nil
 }
 
-type isEvaluateInstancesResponse_EvaluationResults interface {
-	isEvaluateInstancesResponse_EvaluationResults()
+func (x *EvaluateInstancesRequest) GetLocation() string {
+	if x != nil {
+		return x.Location
+	}
+	return ""
 }
 
-type EvaluateInstancesResponse_ExactMatchResults struct {
-	// Auto metric evaluation results.
-	// Results for exact match metric.
-	ExactMatchResults *ExactMatchResults `protobuf:"bytes,1,opt,name=exact_match_results,json=exactMatchResults,proto3,oneof"`
+func (x *EvaluateInstancesRequest) GetAutoraterConfig() *AutoraterConfig {
+	if x != nil {
+		return x.AutoraterConfig
+	}
+	return nil
 }
 
-type EvaluateInstancesResponse_BleuResults struct {
-	// Results for bleu metric.
-	BleuResults *BleuResults `protobuf:"bytes,2,opt,name=bleu_results,json=bleuResults,proto3,oneof"`
+type isEvaluateInstancesRequest_MetricInputs interface {
+	isEvaluateInstancesRequest_MetricInputs()
 }
 
-type EvaluateInstancesResponse_RougeResults struct {
-	// Results for rouge metric.
-	RougeResults *RougeResults `protobuf:"bytes,3,opt,name=rouge_results,json=rougeResults,proto3,oneof"`
+type EvaluateInstancesRequest_ExactMatchInput struct {
+	// Auto metric instances.
+	// Instances and metric spec for exact match metric.
+	ExactMatchInput *ExactMatchInput `protobuf:"bytes,2,opt,name=exact_match_input,json=exactMatchInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_FluencyResult struct {
-	// LLM-based metric evaluation result.
-	// General text generation metrics, applicable to other categories.
-	// Result for fluency metric.
-	FluencyResult *FluencyResult `protobuf:"bytes,4,opt,name=fluency_result,json=fluencyResult,proto3,oneof"`
+type EvaluateInstancesRequest_BleuInput struct {
+	// Instances and metric spec for bleu metric.
+	BleuInput *BleuInput `protobuf:"bytes,3,opt,name=bleu_input,json=bleuInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_CoherenceResult struct {
-	// Result for coherence metric.
-	CoherenceResult *CoherenceResult `protobuf:"bytes,5,opt,name=coherence_result,json=coherenceResult,proto3,oneof"`
+type EvaluateInstancesRequest_RougeInput struct {
+	// Instances and metric spec for rouge metric.
+	RougeInput *RougeInput `protobuf:"bytes,4,opt,name=rouge_input,json=rougeInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_SafetyResult struct {
-	// Result for safety metric.
-	SafetyResult *SafetyResult `protobuf:"bytes,7,opt,name=safety_result,json=safetyResult,proto3,oneof"`
+type EvaluateInstancesRequest_FluencyInput struct {
+	// LLM-based metric instance.
+	// General text generation metrics, applicable to other categories.
+	// Input for fluency metric.
+	FluencyInput *FluencyInput `protobuf:"bytes,5,opt,name=fluency_input,json=fluencyInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_GroundednessResult struct {
-	// Result for groundedness metric.
-	GroundednessResult *GroundednessResult `protobuf:"bytes,8,opt,name=groundedness_result,json=groundednessResult,proto3,oneof"`
+type EvaluateInstancesRequest_CoherenceInput struct {
+	// Input for coherence metric.
+	CoherenceInput *CoherenceInput `protobuf:"bytes,6,opt,name=coherence_input,json=coherenceInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_FulfillmentResult struct {
-	// Result for fulfillment metric.
-	FulfillmentResult *FulfillmentResult `protobuf:"bytes,11,opt,name=fulfillment_result,json=fulfillmentResult,proto3,oneof"`
+type EvaluateInstancesRequest_SafetyInput struct {
+	// Input for safety metric.
+	SafetyInput *SafetyInput `protobuf:"bytes,8,opt,name=safety_input,json=safetyInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_SummarizationQualityResult struct {
-	// Summarization only metrics.
-	// Result for summarization quality metric.
-	SummarizationQualityResult *SummarizationQualityResult `protobuf:"bytes,6,opt,name=summarization_quality_result,json=summarizationQualityResult,proto3,oneof"`
+type EvaluateInstancesRequest_GroundednessInput struct {
+	// Input for groundedness metric.
+	GroundednessInput *GroundednessInput `protobuf:"bytes,9,opt,name=groundedness_input,json=groundednessInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_PairwiseSummarizationQualityResult struct {
-	// Result for pairwise summarization quality metric.
-	PairwiseSummarizationQualityResult *PairwiseSummarizationQualityResult `protobuf:"bytes,22,opt,name=pairwise_summarization_quality_result,json=pairwiseSummarizationQualityResult,proto3,oneof"`
+type EvaluateInstancesRequest_FulfillmentInput struct {
+	// Input for fulfillment metric.
+	FulfillmentInput *FulfillmentInput `protobuf:"bytes,12,opt,name=fulfillment_input,json=fulfillmentInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_SummarizationHelpfulnessResult struct {
-	// Result for summarization helpfulness metric.
-	SummarizationHelpfulnessResult *SummarizationHelpfulnessResult `protobuf:"bytes,13,opt,name=summarization_helpfulness_result,json=summarizationHelpfulnessResult,proto3,oneof"`
+type EvaluateInstancesRequest_SummarizationQualityInput struct {
+	// Input for summarization quality metric.
+	SummarizationQualityInput *SummarizationQualityInput `protobuf:"bytes,7,opt,name=summarization_quality_input,json=summarizationQualityInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_SummarizationVerbosityResult struct {
-	// Result for summarization verbosity metric.
-	SummarizationVerbosityResult *SummarizationVerbosityResult `protobuf:"bytes,14,opt,name=summarization_verbosity_result,json=summarizationVerbosityResult,proto3,oneof"`
+type EvaluateInstancesRequest_PairwiseSummarizationQualityInput struct {
+	// Input for pairwise summarization quality metric.
+	PairwiseSummarizationQualityInput *PairwiseSummarizationQualityInput `protobuf:"bytes,23,opt,name=pairwise_summarization_quality_input,json=pairwiseSummarizationQualityInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_QuestionAnsweringQualityResult struct {
-	// Question answering only metrics.
-	// Result for question answering quality metric.
-	QuestionAnsweringQualityResult *QuestionAnsweringQualityResult `protobuf:"bytes,9,opt,name=question_answering_quality_result,json=questionAnsweringQualityResult,proto3,oneof"`
+type EvaluateInstancesRequest_SummarizationHelpfulnessInput struct {
+	// Input for summarization helpfulness metric.
+	SummarizationHelpfulnessInput *SummarizationHelpfulnessInput `protobuf:"bytes,14,opt,name=summarization_helpfulness_input,json=summarizationHelpfulnessInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult struct {
-	// Result for pairwise question answering quality metric.
-	PairwiseQuestionAnsweringQualityResult *PairwiseQuestionAnsweringQualityResult `protobuf:"bytes,23,opt,name=pairwise_question_answering_quality_result,json=pairwiseQuestionAnsweringQualityResult,proto3,oneof"`
+type EvaluateInstancesRequest_SummarizationVerbosityInput struct {
+	// Input for summarization verbosity metric.
+	SummarizationVerbosityInput *SummarizationVerbosityInput `protobuf:"bytes,15,opt,name=summarization_verbosity_input,json=summarizationVerbosityInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_QuestionAnsweringRelevanceResult struct {
-	// Result for question answering relevance metric.
-	QuestionAnsweringRelevanceResult *QuestionAnsweringRelevanceResult `protobuf:"bytes,15,opt,name=question_answering_relevance_result,json=questionAnsweringRelevanceResult,proto3,oneof"`
+type EvaluateInstancesRequest_QuestionAnsweringQualityInput struct {
+	// Input for question answering quality metric.
+	QuestionAnsweringQualityInput *QuestionAnsweringQualityInput `protobuf:"bytes,10,opt,name=question_answering_quality_input,json=questionAnsweringQualityInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult struct {
-	// Result for question answering helpfulness metric.
-	QuestionAnsweringHelpfulnessResult *QuestionAnsweringHelpfulnessResult `protobuf:"bytes,16,opt,name=question_answering_helpfulness_result,json=questionAnsweringHelpfulnessResult,proto3,oneof"`
+type EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput struct {
+	// Input for pairwise question answering quality metric.
+	PairwiseQuestionAnsweringQualityInput *PairwiseQuestionAnsweringQualityInput `protobuf:"bytes,24,opt,name=pairwise_question_answering_quality_input,json=pairwiseQuestionAnsweringQualityInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult struct {
-	// Result for question answering correctness metric.
-	QuestionAnsweringCorrectnessResult *QuestionAnsweringCorrectnessResult `protobuf:"bytes,17,opt,name=question_answering_correctness_result,json=questionAnsweringCorrectnessResult,proto3,oneof"`
+type EvaluateInstancesRequest_QuestionAnsweringRelevanceInput struct {
+	// Input for question answering relevance metric.
+	QuestionAnsweringRelevanceInput *QuestionAnsweringRelevanceInput `protobuf:"bytes,16,opt,name=question_answering_relevance_input,json=questionAnsweringRelevanceInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_PointwiseMetricResult struct {
-	// Generic metrics.
-	// Result for pointwise metric.
-	PointwiseMetricResult *PointwiseMetricResult `protobuf:"bytes,27,opt,name=pointwise_metric_result,json=pointwiseMetricResult,proto3,oneof"`
+type EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput struct {
+	// Input for question answering helpfulness
+	// metric.
+	QuestionAnsweringHelpfulnessInput *QuestionAnsweringHelpfulnessInput `protobuf:"bytes,17,opt,name=question_answering_helpfulness_input,json=questionAnsweringHelpfulnessInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_PairwiseMetricResult struct {
-	// Result for pairwise metric.
-	PairwiseMetricResult *PairwiseMetricResult `protobuf:"bytes,28,opt,name=pairwise_metric_result,json=pairwiseMetricResult,proto3,oneof"`
+type EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput struct {
+	// Input for question answering correctness
+	// metric.
+	QuestionAnsweringCorrectnessInput *QuestionAnsweringCorrectnessInput `protobuf:"bytes,18,opt,name=question_answering_correctness_input,json=questionAnsweringCorrectnessInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_ToolCallValidResults struct {
-	// Tool call metrics.
-	//
-	//	Results for tool call valid metric.
-	ToolCallValidResults *ToolCallValidResults `protobuf:"bytes,18,opt,name=tool_call_valid_results,json=toolCallValidResults,proto3,oneof"`
+type EvaluateInstancesRequest_PointwiseMetricInput struct {
+	// Input for pointwise metric.
+	PointwiseMetricInput *PointwiseMetricInput `protobuf:"bytes,28,opt,name=pointwise_metric_input,json=pointwiseMetricInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_ToolNameMatchResults struct {
-	// Results for tool name match metric.
-	ToolNameMatchResults *ToolNameMatchResults `protobuf:"bytes,19,opt,name=tool_name_match_results,json=toolNameMatchResults,proto3,oneof"`
+type EvaluateInstancesRequest_PairwiseMetricInput struct {
+	// Input for pairwise metric.
+	PairwiseMetricInput *PairwiseMetricInput `protobuf:"bytes,29,opt,name=pairwise_metric_input,json=pairwiseMetricInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_ToolParameterKeyMatchResults struct {
-	// Results for tool parameter key match  metric.
-	ToolParameterKeyMatchResults *ToolParameterKeyMatchResults `protobuf:"bytes,20,opt,name=tool_parameter_key_match_results,json=toolParameterKeyMatchResults,proto3,oneof"`
+type EvaluateInstancesRequest_ToolCallValidInput struct {
+	// Tool call metric instances.
+	// Input for tool call valid metric.
+	ToolCallValidInput *ToolCallValidInput `protobuf:"bytes,19,opt,name=tool_call_valid_input,json=toolCallValidInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_ToolParameterKvMatchResults struct {
-	// Results for tool parameter key value match metric.
-	ToolParameterKvMatchResults *ToolParameterKVMatchResults `protobuf:"bytes,21,opt,name=tool_parameter_kv_match_results,json=toolParameterKvMatchResults,proto3,oneof"`
+type EvaluateInstancesRequest_ToolNameMatchInput struct {
+	// Input for tool name match metric.
+	ToolNameMatchInput *ToolNameMatchInput `protobuf:"bytes,20,opt,name=tool_name_match_input,json=toolNameMatchInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_CometResult struct {
+type EvaluateInstancesRequest_ToolParameterKeyMatchInput struct {
+	// Input for tool parameter key match metric.
+	ToolParameterKeyMatchInput *ToolParameterKeyMatchInput `protobuf:"bytes,21,opt,name=tool_parameter_key_match_input,json=toolParameterKeyMatchInput,proto3,oneof"`
+}
+
+type EvaluateInstancesRequest_ToolParameterKvMatchInput struct {
+	// Input for tool parameter key value match metric.
+	ToolParameterKvMatchInput *ToolParameterKVMatchInput `protobuf:"bytes,22,opt,name=tool_parameter_kv_match_input,json=toolParameterKvMatchInput,proto3,oneof"`
+}
+
+type EvaluateInstancesRequest_CometInput struct {
 	// Translation metrics.
-	// Result for Comet metric.
-	CometResult *CometResult `protobuf:"bytes,29,opt,name=comet_result,json=cometResult,proto3,oneof"`
+	// Input for Comet metric.
+	CometInput *CometInput `protobuf:"bytes,31,opt,name=comet_input,json=cometInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_MetricxResult struct {
-	// Result for Metricx metric.
-	MetricxResult *MetricxResult `protobuf:"bytes,30,opt,name=metricx_result,json=metricxResult,proto3,oneof"`
+type EvaluateInstancesRequest_MetricxInput struct {
+	// Input for Metricx metric.
+	MetricxInput *MetricxInput `protobuf:"bytes,32,opt,name=metricx_input,json=metricxInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_TrajectoryExactMatchResults struct {
-	// Result for trajectory exact match metric.
-	TrajectoryExactMatchResults *TrajectoryExactMatchResults `protobuf:"bytes,31,opt,name=trajectory_exact_match_results,json=trajectoryExactMatchResults,proto3,oneof"`
+type EvaluateInstancesRequest_TrajectoryExactMatchInput struct {
+	// Input for trajectory exact match metric.
+	TrajectoryExactMatchInput *TrajectoryExactMatchInput `protobuf:"bytes,33,opt,name=trajectory_exact_match_input,json=trajectoryExactMatchInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_TrajectoryInOrderMatchResults struct {
-	// Result for trajectory in order match metric.
-	TrajectoryInOrderMatchResults *TrajectoryInOrderMatchResults `protobuf:"bytes,32,opt,name=trajectory_in_order_match_results,json=trajectoryInOrderMatchResults,proto3,oneof"`
+type EvaluateInstancesRequest_TrajectoryInOrderMatchInput struct {
+	// Input for trajectory in order match metric.
+	TrajectoryInOrderMatchInput *TrajectoryInOrderMatchInput `protobuf:"bytes,34,opt,name=trajectory_in_order_match_input,json=trajectoryInOrderMatchInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_TrajectoryAnyOrderMatchResults struct {
-	// Result for trajectory any order match metric.
-	TrajectoryAnyOrderMatchResults *TrajectoryAnyOrderMatchResults `protobuf:"bytes,33,opt,name=trajectory_any_order_match_results,json=trajectoryAnyOrderMatchResults,proto3,oneof"`
+type EvaluateInstancesRequest_TrajectoryAnyOrderMatchInput struct {
+	// Input for trajectory match any order metric.
+	TrajectoryAnyOrderMatchInput *TrajectoryAnyOrderMatchInput `protobuf:"bytes,35,opt,name=trajectory_any_order_match_input,json=trajectoryAnyOrderMatchInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_TrajectoryPrecisionResults struct {
-	// Result for trajectory precision metric.
-	TrajectoryPrecisionResults *TrajectoryPrecisionResults `protobuf:"bytes,35,opt,name=trajectory_precision_results,json=trajectoryPrecisionResults,proto3,oneof"`
+type EvaluateInstancesRequest_TrajectoryPrecisionInput struct {
+	// Input for trajectory precision metric.
+	TrajectoryPrecisionInput *TrajectoryPrecisionInput `protobuf:"bytes,37,opt,name=trajectory_precision_input,json=trajectoryPrecisionInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_TrajectoryRecallResults struct {
-	// Results for trajectory recall metric.
-	TrajectoryRecallResults *TrajectoryRecallResults `protobuf:"bytes,36,opt,name=trajectory_recall_results,json=trajectoryRecallResults,proto3,oneof"`
+type EvaluateInstancesRequest_TrajectoryRecallInput struct {
+	// Input for trajectory recall metric.
+	TrajectoryRecallInput *TrajectoryRecallInput `protobuf:"bytes,38,opt,name=trajectory_recall_input,json=trajectoryRecallInput,proto3,oneof"`
 }
 
-type EvaluateInstancesResponse_TrajectorySingleToolUseResults struct {
-	// Results for trajectory single tool use metric.
-	TrajectorySingleToolUseResults *TrajectorySingleToolUseResults `protobuf:"bytes,37,opt,name=trajectory_single_tool_use_results,json=trajectorySingleToolUseResults,proto3,oneof"`
+type EvaluateInstancesRequest_TrajectorySingleToolUseInput struct {
+	// Input for trajectory single tool use metric.
+	TrajectorySingleToolUseInput *TrajectorySingleToolUseInput `protobuf:"bytes,39,opt,name=trajectory_single_tool_use_input,json=trajectorySingleToolUseInput,proto3,oneof"`
 }
 
-func (*EvaluateInstancesResponse_ExactMatchResults) isEvaluateInstancesResponse_EvaluationResults() {}
+func (*EvaluateInstancesRequest_ExactMatchInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_BleuResults) isEvaluateInstancesResponse_EvaluationResults() {}
+func (*EvaluateInstancesRequest_BleuInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_RougeResults) isEvaluateInstancesResponse_EvaluationResults() {}
+func (*EvaluateInstancesRequest_RougeInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_FluencyResult) isEvaluateInstancesResponse_EvaluationResults() {}
+func (*EvaluateInstancesRequest_FluencyInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_CoherenceResult) isEvaluateInstancesResponse_EvaluationResults() {}
+func (*EvaluateInstancesRequest_CoherenceInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_SafetyResult) isEvaluateInstancesResponse_EvaluationResults() {}
+func (*EvaluateInstancesRequest_SafetyInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_GroundednessResult) isEvaluateInstancesResponse_EvaluationResults() {
-}
+func (*EvaluateInstancesRequest_GroundednessInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_FulfillmentResult) isEvaluateInstancesResponse_EvaluationResults() {}
+func (*EvaluateInstancesRequest_FulfillmentInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_SummarizationQualityResult) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_SummarizationQualityInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_PairwiseSummarizationQualityResult) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_PairwiseSummarizationQualityInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_SummarizationHelpfulnessResult) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_SummarizationHelpfulnessInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_SummarizationVerbosityResult) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_SummarizationVerbosityInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_QuestionAnsweringQualityResult) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_QuestionAnsweringQualityInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_PairwiseQuestionAnsweringQualityInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_QuestionAnsweringRelevanceResult) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_QuestionAnsweringRelevanceInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_QuestionAnsweringHelpfulnessInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_QuestionAnsweringCorrectnessInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_PointwiseMetricResult) isEvaluateInstancesResponse_EvaluationResults() {
-}
+func (*EvaluateInstancesRequest_PointwiseMetricInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_PairwiseMetricResult) isEvaluateInstancesResponse_EvaluationResults() {
-}
+func (*EvaluateInstancesRequest_PairwiseMetricInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_ToolCallValidResults) isEvaluateInstancesResponse_EvaluationResults() {
-}
+func (*EvaluateInstancesRequest_ToolCallValidInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_ToolNameMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
-}
+func (*EvaluateInstancesRequest_ToolNameMatchInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_ToolParameterKeyMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_ToolParameterKeyMatchInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_ToolParameterKvMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_ToolParameterKvMatchInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_CometResult) isEvaluateInstancesResponse_EvaluationResults() {}
+func (*EvaluateInstancesRequest_CometInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_MetricxResult) isEvaluateInstancesResponse_EvaluationResults() {}
+func (*EvaluateInstancesRequest_MetricxInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_TrajectoryExactMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_TrajectoryExactMatchInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_TrajectoryInOrderMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_TrajectoryInOrderMatchInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_TrajectoryAnyOrderMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_TrajectoryAnyOrderMatchInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-func (*EvaluateInstancesResponse_TrajectoryPrecisionResults) isEvaluateInstancesResponse_EvaluationResults() {
-}
+func (*EvaluateInstancesRequest_TrajectoryPrecisionInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_TrajectoryRecallResults) isEvaluateInstancesResponse_EvaluationResults() {
-}
+func (*EvaluateInstancesRequest_TrajectoryRecallInput) isEvaluateInstancesRequest_MetricInputs() {}
 
-func (*EvaluateInstancesResponse_TrajectorySingleToolUseResults) isEvaluateInstancesResponse_EvaluationResults() {
+func (*EvaluateInstancesRequest_TrajectorySingleToolUseInput) isEvaluateInstancesRequest_MetricInputs() {
 }
 
-// Input for exact match metric.
-type ExactMatchInput struct {
+// Response message for EvaluationService.EvaluateInstances.
+type EvaluateInstancesResponse struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for exact match metric.
-	MetricSpec *ExactMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated exact match instances.
-	Instances []*ExactMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Evaluation results will be served in the same order as presented in
+	// EvaluationRequest.instances.
+	//
+	// Types that are assignable to EvaluationResults:
+	//
+	//	*EvaluateInstancesResponse_ExactMatchResults
+	//	*EvaluateInstancesResponse_BleuResults
+	//	*EvaluateInstancesResponse_RougeResults
+	//	*EvaluateInstancesResponse_FluencyResult
+	//	*EvaluateInstancesResponse_CoherenceResult
+	//	*EvaluateInstancesResponse_SafetyResult
+	//	*EvaluateInstancesResponse_GroundednessResult
+	//	*EvaluateInstancesResponse_FulfillmentResult
+	//	*EvaluateInstancesResponse_SummarizationQualityResult
+	//	*EvaluateInstancesResponse_PairwiseSummarizationQualityResult
+	//	*EvaluateInstancesResponse_SummarizationHelpfulnessResult
+	//	*EvaluateInstancesResponse_SummarizationVerbosityResult
+	//	*EvaluateInstancesResponse_QuestionAnsweringQualityResult
+	//	*EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult
+	//	*EvaluateInstancesResponse_QuestionAnsweringRelevanceResult
+	//	*EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult
+	//	*EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult
+	//	*EvaluateInstancesResponse_PointwiseMetricResult
+	//	*EvaluateInstancesResponse_PairwiseMetricResult
+	//	*EvaluateInstancesResponse_ToolCallValidResults
+	//	*EvaluateInstancesResponse_ToolNameMatchResults
+	//	*EvaluateInstancesResponse_ToolParameterKeyMatchResults
+	//	*EvaluateInstancesResponse_ToolParameterKvMatchResults
+	//	*EvaluateInstancesResponse_CometResult
+	//	*EvaluateInstancesResponse_MetricxResult
+	//	*EvaluateInstancesResponse_TrajectoryExactMatchResults
+	//	*EvaluateInstancesResponse_TrajectoryInOrderMatchResults
+	//	*EvaluateInstancesResponse_TrajectoryAnyOrderMatchResults
+	//	*EvaluateInstancesResponse_TrajectoryPrecisionResults
+	//	*EvaluateInstancesResponse_TrajectoryRecallResults
+	//	*EvaluateInstancesResponse_TrajectorySingleToolUseResults
+	EvaluationResults isEvaluateInstancesResponse_EvaluationResults `protobuf_oneof:"evaluation_results"`
 }
 
-func (x *ExactMatchInput) Reset() {
-	*x = ExactMatchInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[3]
+func (x *EvaluateInstancesResponse) Reset() {
+	*x = EvaluateInstancesResponse{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[9]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ExactMatchInput) String() string {
+func (x *EvaluateInstancesResponse) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ExactMatchInput) ProtoMessage() {}
+func (*EvaluateInstancesResponse) ProtoMessage() {}
 
-func (x *ExactMatchInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[3]
+func (x *EvaluateInstancesResponse) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[9]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -1433,494 +1540,514 @@ func (x *ExactMatchInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ExactMatchInput.ProtoReflect.Descriptor instead.
-func (*ExactMatchInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{3}
-}
-
-func (x *ExactMatchInput) GetMetricSpec() *ExactMatchSpec {
-	if x != nil {
-		return x.MetricSpec
-	}
-	return nil
+// Deprecated: Use EvaluateInstancesResponse.ProtoReflect.Descriptor instead.
+func (*EvaluateInstancesResponse) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{9}
 }
 
-func (x *ExactMatchInput) GetInstances() []*ExactMatchInstance {
-	if x != nil {
-		return x.Instances
+func (m *EvaluateInstancesResponse) GetEvaluationResults() isEvaluateInstancesResponse_EvaluationResults {
+	if m != nil {
+		return m.EvaluationResults
 	}
 	return nil
 }
 
-// Spec for exact match instance.
-type ExactMatchInstance struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
-
-	// Required. Output of the evaluated model.
-	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Required. Ground truth used to compare against the prediction.
-	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+func (x *EvaluateInstancesResponse) GetExactMatchResults() *ExactMatchResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ExactMatchResults); ok {
+		return x.ExactMatchResults
+	}
+	return nil
 }
 
-func (x *ExactMatchInstance) Reset() {
-	*x = ExactMatchInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[4]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
+func (x *EvaluateInstancesResponse) GetBleuResults() *BleuResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_BleuResults); ok {
+		return x.BleuResults
+	}
+	return nil
 }
 
-func (x *ExactMatchInstance) String() string {
-	return protoimpl.X.MessageStringOf(x)
+func (x *EvaluateInstancesResponse) GetRougeResults() *RougeResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_RougeResults); ok {
+		return x.RougeResults
+	}
+	return nil
 }
 
-func (*ExactMatchInstance) ProtoMessage() {}
-
-func (x *ExactMatchInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[4]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
+func (x *EvaluateInstancesResponse) GetFluencyResult() *FluencyResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_FluencyResult); ok {
+		return x.FluencyResult
 	}
-	return mi.MessageOf(x)
+	return nil
 }
 
-// Deprecated: Use ExactMatchInstance.ProtoReflect.Descriptor instead.
-func (*ExactMatchInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{4}
+func (x *EvaluateInstancesResponse) GetCoherenceResult() *CoherenceResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_CoherenceResult); ok {
+		return x.CoherenceResult
+	}
+	return nil
 }
 
-func (x *ExactMatchInstance) GetPrediction() string {
-	if x != nil && x.Prediction != nil {
-		return *x.Prediction
+func (x *EvaluateInstancesResponse) GetSafetyResult() *SafetyResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_SafetyResult); ok {
+		return x.SafetyResult
 	}
-	return ""
+	return nil
 }
 
-func (x *ExactMatchInstance) GetReference() string {
-	if x != nil && x.Reference != nil {
-		return *x.Reference
+func (x *EvaluateInstancesResponse) GetGroundednessResult() *GroundednessResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_GroundednessResult); ok {
+		return x.GroundednessResult
 	}
-	return ""
+	return nil
 }
 
-// Spec for exact match metric - returns 1 if prediction and reference exactly
-// matches, otherwise 0.
-type ExactMatchSpec struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
+func (x *EvaluateInstancesResponse) GetFulfillmentResult() *FulfillmentResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_FulfillmentResult); ok {
+		return x.FulfillmentResult
+	}
+	return nil
 }
 
-func (x *ExactMatchSpec) Reset() {
-	*x = ExactMatchSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[5]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
+func (x *EvaluateInstancesResponse) GetSummarizationQualityResult() *SummarizationQualityResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_SummarizationQualityResult); ok {
+		return x.SummarizationQualityResult
+	}
+	return nil
 }
 
-func (x *ExactMatchSpec) String() string {
-	return protoimpl.X.MessageStringOf(x)
+func (x *EvaluateInstancesResponse) GetPairwiseSummarizationQualityResult() *PairwiseSummarizationQualityResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_PairwiseSummarizationQualityResult); ok {
+		return x.PairwiseSummarizationQualityResult
+	}
+	return nil
 }
 
-func (*ExactMatchSpec) ProtoMessage() {}
-
-func (x *ExactMatchSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[5]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
+func (x *EvaluateInstancesResponse) GetSummarizationHelpfulnessResult() *SummarizationHelpfulnessResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_SummarizationHelpfulnessResult); ok {
+		return x.SummarizationHelpfulnessResult
 	}
-	return mi.MessageOf(x)
+	return nil
 }
 
-// Deprecated: Use ExactMatchSpec.ProtoReflect.Descriptor instead.
-func (*ExactMatchSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{5}
+func (x *EvaluateInstancesResponse) GetSummarizationVerbosityResult() *SummarizationVerbosityResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_SummarizationVerbosityResult); ok {
+		return x.SummarizationVerbosityResult
+	}
+	return nil
 }
 
-// Results for exact match metric.
-type ExactMatchResults struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
-
-	// Output only. Exact match metric values.
-	ExactMatchMetricValues []*ExactMatchMetricValue `protobuf:"bytes,1,rep,name=exact_match_metric_values,json=exactMatchMetricValues,proto3" json:"exact_match_metric_values,omitempty"`
+func (x *EvaluateInstancesResponse) GetQuestionAnsweringQualityResult() *QuestionAnsweringQualityResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_QuestionAnsweringQualityResult); ok {
+		return x.QuestionAnsweringQualityResult
+	}
+	return nil
 }
 
-func (x *ExactMatchResults) Reset() {
-	*x = ExactMatchResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[6]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
+func (x *EvaluateInstancesResponse) GetPairwiseQuestionAnsweringQualityResult() *PairwiseQuestionAnsweringQualityResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult); ok {
+		return x.PairwiseQuestionAnsweringQualityResult
+	}
+	return nil
 }
 
-func (x *ExactMatchResults) String() string {
-	return protoimpl.X.MessageStringOf(x)
+func (x *EvaluateInstancesResponse) GetQuestionAnsweringRelevanceResult() *QuestionAnsweringRelevanceResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_QuestionAnsweringRelevanceResult); ok {
+		return x.QuestionAnsweringRelevanceResult
+	}
+	return nil
 }
 
-func (*ExactMatchResults) ProtoMessage() {}
-
-func (x *ExactMatchResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[6]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
+func (x *EvaluateInstancesResponse) GetQuestionAnsweringHelpfulnessResult() *QuestionAnsweringHelpfulnessResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult); ok {
+		return x.QuestionAnsweringHelpfulnessResult
 	}
-	return mi.MessageOf(x)
+	return nil
 }
 
-// Deprecated: Use ExactMatchResults.ProtoReflect.Descriptor instead.
-func (*ExactMatchResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{6}
+func (x *EvaluateInstancesResponse) GetQuestionAnsweringCorrectnessResult() *QuestionAnsweringCorrectnessResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult); ok {
+		return x.QuestionAnsweringCorrectnessResult
+	}
+	return nil
 }
 
-func (x *ExactMatchResults) GetExactMatchMetricValues() []*ExactMatchMetricValue {
-	if x != nil {
-		return x.ExactMatchMetricValues
+func (x *EvaluateInstancesResponse) GetPointwiseMetricResult() *PointwiseMetricResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_PointwiseMetricResult); ok {
+		return x.PointwiseMetricResult
 	}
 	return nil
 }
 
-// Exact match metric value for an instance.
-type ExactMatchMetricValue struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
-
-	// Output only. Exact match score.
-	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+func (x *EvaluateInstancesResponse) GetPairwiseMetricResult() *PairwiseMetricResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_PairwiseMetricResult); ok {
+		return x.PairwiseMetricResult
+	}
+	return nil
 }
 
-func (x *ExactMatchMetricValue) Reset() {
-	*x = ExactMatchMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[7]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
+func (x *EvaluateInstancesResponse) GetToolCallValidResults() *ToolCallValidResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ToolCallValidResults); ok {
+		return x.ToolCallValidResults
+	}
+	return nil
 }
 
-func (x *ExactMatchMetricValue) String() string {
-	return protoimpl.X.MessageStringOf(x)
+func (x *EvaluateInstancesResponse) GetToolNameMatchResults() *ToolNameMatchResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ToolNameMatchResults); ok {
+		return x.ToolNameMatchResults
+	}
+	return nil
 }
 
-func (*ExactMatchMetricValue) ProtoMessage() {}
-
-func (x *ExactMatchMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[7]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
+func (x *EvaluateInstancesResponse) GetToolParameterKeyMatchResults() *ToolParameterKeyMatchResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ToolParameterKeyMatchResults); ok {
+		return x.ToolParameterKeyMatchResults
 	}
-	return mi.MessageOf(x)
+	return nil
 }
 
-// Deprecated: Use ExactMatchMetricValue.ProtoReflect.Descriptor instead.
-func (*ExactMatchMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{7}
+func (x *EvaluateInstancesResponse) GetToolParameterKvMatchResults() *ToolParameterKVMatchResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_ToolParameterKvMatchResults); ok {
+		return x.ToolParameterKvMatchResults
+	}
+	return nil
 }
 
-func (x *ExactMatchMetricValue) GetScore() float32 {
-	if x != nil && x.Score != nil {
-		return *x.Score
+func (x *EvaluateInstancesResponse) GetCometResult() *CometResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_CometResult); ok {
+		return x.CometResult
 	}
-	return 0
+	return nil
 }
 
-// Input for bleu metric.
-type BleuInput struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
-
-	// Required. Spec for bleu score metric.
-	MetricSpec *BleuSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated bleu instances.
-	Instances []*BleuInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+func (x *EvaluateInstancesResponse) GetMetricxResult() *MetricxResult {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_MetricxResult); ok {
+		return x.MetricxResult
+	}
+	return nil
 }
 
-func (x *BleuInput) Reset() {
-	*x = BleuInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[8]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
+func (x *EvaluateInstancesResponse) GetTrajectoryExactMatchResults() *TrajectoryExactMatchResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryExactMatchResults); ok {
+		return x.TrajectoryExactMatchResults
+	}
+	return nil
 }
 
-func (x *BleuInput) String() string {
-	return protoimpl.X.MessageStringOf(x)
+func (x *EvaluateInstancesResponse) GetTrajectoryInOrderMatchResults() *TrajectoryInOrderMatchResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryInOrderMatchResults); ok {
+		return x.TrajectoryInOrderMatchResults
+	}
+	return nil
 }
 
-func (*BleuInput) ProtoMessage() {}
-
-func (x *BleuInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[8]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
+func (x *EvaluateInstancesResponse) GetTrajectoryAnyOrderMatchResults() *TrajectoryAnyOrderMatchResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryAnyOrderMatchResults); ok {
+		return x.TrajectoryAnyOrderMatchResults
 	}
-	return mi.MessageOf(x)
+	return nil
 }
 
-// Deprecated: Use BleuInput.ProtoReflect.Descriptor instead.
-func (*BleuInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{8}
+func (x *EvaluateInstancesResponse) GetTrajectoryPrecisionResults() *TrajectoryPrecisionResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryPrecisionResults); ok {
+		return x.TrajectoryPrecisionResults
+	}
+	return nil
 }
 
-func (x *BleuInput) GetMetricSpec() *BleuSpec {
-	if x != nil {
-		return x.MetricSpec
+func (x *EvaluateInstancesResponse) GetTrajectoryRecallResults() *TrajectoryRecallResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectoryRecallResults); ok {
+		return x.TrajectoryRecallResults
 	}
 	return nil
 }
 
-func (x *BleuInput) GetInstances() []*BleuInstance {
-	if x != nil {
-		return x.Instances
+func (x *EvaluateInstancesResponse) GetTrajectorySingleToolUseResults() *TrajectorySingleToolUseResults {
+	if x, ok := x.GetEvaluationResults().(*EvaluateInstancesResponse_TrajectorySingleToolUseResults); ok {
+		return x.TrajectorySingleToolUseResults
 	}
 	return nil
 }
 
-// Spec for bleu instance.
-type BleuInstance struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
-
-	// Required. Output of the evaluated model.
-	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Required. Ground truth used to compare against the prediction.
-	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+type isEvaluateInstancesResponse_EvaluationResults interface {
+	isEvaluateInstancesResponse_EvaluationResults()
 }
 
-func (x *BleuInstance) Reset() {
-	*x = BleuInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[9]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
+type EvaluateInstancesResponse_ExactMatchResults struct {
+	// Auto metric evaluation results.
+	// Results for exact match metric.
+	ExactMatchResults *ExactMatchResults `protobuf:"bytes,1,opt,name=exact_match_results,json=exactMatchResults,proto3,oneof"`
 }
 
-func (x *BleuInstance) String() string {
-	return protoimpl.X.MessageStringOf(x)
+type EvaluateInstancesResponse_BleuResults struct {
+	// Results for bleu metric.
+	BleuResults *BleuResults `protobuf:"bytes,2,opt,name=bleu_results,json=bleuResults,proto3,oneof"`
 }
 
-func (*BleuInstance) ProtoMessage() {}
-
-func (x *BleuInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[9]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
-	}
-	return mi.MessageOf(x)
+type EvaluateInstancesResponse_RougeResults struct {
+	// Results for rouge metric.
+	RougeResults *RougeResults `protobuf:"bytes,3,opt,name=rouge_results,json=rougeResults,proto3,oneof"`
 }
 
-// Deprecated: Use BleuInstance.ProtoReflect.Descriptor instead.
-func (*BleuInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{9}
+type EvaluateInstancesResponse_FluencyResult struct {
+	// LLM-based metric evaluation result.
+	// General text generation metrics, applicable to other categories.
+	// Result for fluency metric.
+	FluencyResult *FluencyResult `protobuf:"bytes,4,opt,name=fluency_result,json=fluencyResult,proto3,oneof"`
 }
 
-func (x *BleuInstance) GetPrediction() string {
-	if x != nil && x.Prediction != nil {
-		return *x.Prediction
-	}
-	return ""
+type EvaluateInstancesResponse_CoherenceResult struct {
+	// Result for coherence metric.
+	CoherenceResult *CoherenceResult `protobuf:"bytes,5,opt,name=coherence_result,json=coherenceResult,proto3,oneof"`
 }
 
-func (x *BleuInstance) GetReference() string {
-	if x != nil && x.Reference != nil {
-		return *x.Reference
-	}
-	return ""
+type EvaluateInstancesResponse_SafetyResult struct {
+	// Result for safety metric.
+	SafetyResult *SafetyResult `protobuf:"bytes,7,opt,name=safety_result,json=safetyResult,proto3,oneof"`
 }
 
-// Spec for bleu score metric - calculates the precision of n-grams in the
-// prediction as compared to reference - returns a score ranging between 0 to 1.
-type BleuSpec struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
+type EvaluateInstancesResponse_GroundednessResult struct {
+	// Result for groundedness metric.
+	GroundednessResult *GroundednessResult `protobuf:"bytes,8,opt,name=groundedness_result,json=groundednessResult,proto3,oneof"`
+}
 
-	// Optional. Whether to use_effective_order to compute bleu score.
-	UseEffectiveOrder bool `protobuf:"varint,1,opt,name=use_effective_order,json=useEffectiveOrder,proto3" json:"use_effective_order,omitempty"`
+type EvaluateInstancesResponse_FulfillmentResult struct {
+	// Result for fulfillment metric.
+	FulfillmentResult *FulfillmentResult `protobuf:"bytes,11,opt,name=fulfillment_result,json=fulfillmentResult,proto3,oneof"`
 }
 
-func (x *BleuSpec) Reset() {
-	*x = BleuSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[10]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
+type EvaluateInstancesResponse_SummarizationQualityResult struct {
+	// Summarization only metrics.
+	// Result for summarization quality metric.
+	SummarizationQualityResult *SummarizationQualityResult `protobuf:"bytes,6,opt,name=summarization_quality_result,json=summarizationQualityResult,proto3,oneof"`
 }
 
-func (x *BleuSpec) String() string {
-	return protoimpl.X.MessageStringOf(x)
+type EvaluateInstancesResponse_PairwiseSummarizationQualityResult struct {
+	// Result for pairwise summarization quality metric.
+	PairwiseSummarizationQualityResult *PairwiseSummarizationQualityResult `protobuf:"bytes,22,opt,name=pairwise_summarization_quality_result,json=pairwiseSummarizationQualityResult,proto3,oneof"`
 }
 
-func (*BleuSpec) ProtoMessage() {}
+type EvaluateInstancesResponse_SummarizationHelpfulnessResult struct {
+	// Result for summarization helpfulness metric.
+	SummarizationHelpfulnessResult *SummarizationHelpfulnessResult `protobuf:"bytes,13,opt,name=summarization_helpfulness_result,json=summarizationHelpfulnessResult,proto3,oneof"`
+}
 
-func (x *BleuSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[10]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
-	}
-	return mi.MessageOf(x)
+type EvaluateInstancesResponse_SummarizationVerbosityResult struct {
+	// Result for summarization verbosity metric.
+	SummarizationVerbosityResult *SummarizationVerbosityResult `protobuf:"bytes,14,opt,name=summarization_verbosity_result,json=summarizationVerbosityResult,proto3,oneof"`
 }
 
-// Deprecated: Use BleuSpec.ProtoReflect.Descriptor instead.
-func (*BleuSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{10}
+type EvaluateInstancesResponse_QuestionAnsweringQualityResult struct {
+	// Question answering only metrics.
+	// Result for question answering quality metric.
+	QuestionAnsweringQualityResult *QuestionAnsweringQualityResult `protobuf:"bytes,9,opt,name=question_answering_quality_result,json=questionAnsweringQualityResult,proto3,oneof"`
 }
 
-func (x *BleuSpec) GetUseEffectiveOrder() bool {
-	if x != nil {
-		return x.UseEffectiveOrder
-	}
-	return false
+type EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult struct {
+	// Result for pairwise question answering quality metric.
+	PairwiseQuestionAnsweringQualityResult *PairwiseQuestionAnsweringQualityResult `protobuf:"bytes,23,opt,name=pairwise_question_answering_quality_result,json=pairwiseQuestionAnsweringQualityResult,proto3,oneof"`
 }
 
-// Results for bleu metric.
-type BleuResults struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
+type EvaluateInstancesResponse_QuestionAnsweringRelevanceResult struct {
+	// Result for question answering relevance metric.
+	QuestionAnsweringRelevanceResult *QuestionAnsweringRelevanceResult `protobuf:"bytes,15,opt,name=question_answering_relevance_result,json=questionAnsweringRelevanceResult,proto3,oneof"`
+}
 
-	// Output only. Bleu metric values.
-	BleuMetricValues []*BleuMetricValue `protobuf:"bytes,1,rep,name=bleu_metric_values,json=bleuMetricValues,proto3" json:"bleu_metric_values,omitempty"`
+type EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult struct {
+	// Result for question answering helpfulness metric.
+	QuestionAnsweringHelpfulnessResult *QuestionAnsweringHelpfulnessResult `protobuf:"bytes,16,opt,name=question_answering_helpfulness_result,json=questionAnsweringHelpfulnessResult,proto3,oneof"`
 }
 
-func (x *BleuResults) Reset() {
-	*x = BleuResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[11]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
+type EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult struct {
+	// Result for question answering correctness metric.
+	QuestionAnsweringCorrectnessResult *QuestionAnsweringCorrectnessResult `protobuf:"bytes,17,opt,name=question_answering_correctness_result,json=questionAnsweringCorrectnessResult,proto3,oneof"`
 }
 
-func (x *BleuResults) String() string {
-	return protoimpl.X.MessageStringOf(x)
+type EvaluateInstancesResponse_PointwiseMetricResult struct {
+	// Generic metrics.
+	// Result for pointwise metric.
+	PointwiseMetricResult *PointwiseMetricResult `protobuf:"bytes,27,opt,name=pointwise_metric_result,json=pointwiseMetricResult,proto3,oneof"`
 }
 
-func (*BleuResults) ProtoMessage() {}
+type EvaluateInstancesResponse_PairwiseMetricResult struct {
+	// Result for pairwise metric.
+	PairwiseMetricResult *PairwiseMetricResult `protobuf:"bytes,28,opt,name=pairwise_metric_result,json=pairwiseMetricResult,proto3,oneof"`
+}
 
-func (x *BleuResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[11]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
-	}
-	return mi.MessageOf(x)
+type EvaluateInstancesResponse_ToolCallValidResults struct {
+	// Tool call metrics.
+	//
+	//	Results for tool call valid metric.
+	ToolCallValidResults *ToolCallValidResults `protobuf:"bytes,18,opt,name=tool_call_valid_results,json=toolCallValidResults,proto3,oneof"`
 }
 
-// Deprecated: Use BleuResults.ProtoReflect.Descriptor instead.
-func (*BleuResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{11}
+type EvaluateInstancesResponse_ToolNameMatchResults struct {
+	// Results for tool name match metric.
+	ToolNameMatchResults *ToolNameMatchResults `protobuf:"bytes,19,opt,name=tool_name_match_results,json=toolNameMatchResults,proto3,oneof"`
 }
 
-func (x *BleuResults) GetBleuMetricValues() []*BleuMetricValue {
-	if x != nil {
-		return x.BleuMetricValues
-	}
-	return nil
+type EvaluateInstancesResponse_ToolParameterKeyMatchResults struct {
+	// Results for tool parameter key match  metric.
+	ToolParameterKeyMatchResults *ToolParameterKeyMatchResults `protobuf:"bytes,20,opt,name=tool_parameter_key_match_results,json=toolParameterKeyMatchResults,proto3,oneof"`
 }
 
-// Bleu metric value for an instance.
-type BleuMetricValue struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
+type EvaluateInstancesResponse_ToolParameterKvMatchResults struct {
+	// Results for tool parameter key value match metric.
+	ToolParameterKvMatchResults *ToolParameterKVMatchResults `protobuf:"bytes,21,opt,name=tool_parameter_kv_match_results,json=toolParameterKvMatchResults,proto3,oneof"`
+}
 
-	// Output only. Bleu score.
-	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+type EvaluateInstancesResponse_CometResult struct {
+	// Translation metrics.
+	// Result for Comet metric.
+	CometResult *CometResult `protobuf:"bytes,29,opt,name=comet_result,json=cometResult,proto3,oneof"`
 }
 
-func (x *BleuMetricValue) Reset() {
-	*x = BleuMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[12]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
+type EvaluateInstancesResponse_MetricxResult struct {
+	// Result for Metricx metric.
+	MetricxResult *MetricxResult `protobuf:"bytes,30,opt,name=metricx_result,json=metricxResult,proto3,oneof"`
 }
 
-func (x *BleuMetricValue) String() string {
-	return protoimpl.X.MessageStringOf(x)
+type EvaluateInstancesResponse_TrajectoryExactMatchResults struct {
+	// Result for trajectory exact match metric.
+	TrajectoryExactMatchResults *TrajectoryExactMatchResults `protobuf:"bytes,31,opt,name=trajectory_exact_match_results,json=trajectoryExactMatchResults,proto3,oneof"`
 }
 
-func (*BleuMetricValue) ProtoMessage() {}
+type EvaluateInstancesResponse_TrajectoryInOrderMatchResults struct {
+	// Result for trajectory in order match metric.
+	TrajectoryInOrderMatchResults *TrajectoryInOrderMatchResults `protobuf:"bytes,32,opt,name=trajectory_in_order_match_results,json=trajectoryInOrderMatchResults,proto3,oneof"`
+}
 
-func (x *BleuMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[12]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
-	}
-	return mi.MessageOf(x)
+type EvaluateInstancesResponse_TrajectoryAnyOrderMatchResults struct {
+	// Result for trajectory any order match metric.
+	TrajectoryAnyOrderMatchResults *TrajectoryAnyOrderMatchResults `protobuf:"bytes,33,opt,name=trajectory_any_order_match_results,json=trajectoryAnyOrderMatchResults,proto3,oneof"`
 }
 
-// Deprecated: Use BleuMetricValue.ProtoReflect.Descriptor instead.
-func (*BleuMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{12}
+type EvaluateInstancesResponse_TrajectoryPrecisionResults struct {
+	// Result for trajectory precision metric.
+	TrajectoryPrecisionResults *TrajectoryPrecisionResults `protobuf:"bytes,35,opt,name=trajectory_precision_results,json=trajectoryPrecisionResults,proto3,oneof"`
 }
 
-func (x *BleuMetricValue) GetScore() float32 {
-	if x != nil && x.Score != nil {
-		return *x.Score
-	}
-	return 0
+type EvaluateInstancesResponse_TrajectoryRecallResults struct {
+	// Results for trajectory recall metric.
+	TrajectoryRecallResults *TrajectoryRecallResults `protobuf:"bytes,36,opt,name=trajectory_recall_results,json=trajectoryRecallResults,proto3,oneof"`
 }
 
-// Input for rouge metric.
-type RougeInput struct {
+type EvaluateInstancesResponse_TrajectorySingleToolUseResults struct {
+	// Results for trajectory single tool use metric.
+	TrajectorySingleToolUseResults *TrajectorySingleToolUseResults `protobuf:"bytes,37,opt,name=trajectory_single_tool_use_results,json=trajectorySingleToolUseResults,proto3,oneof"`
+}
+
+func (*EvaluateInstancesResponse_ExactMatchResults) isEvaluateInstancesResponse_EvaluationResults() {}
+
+func (*EvaluateInstancesResponse_BleuResults) isEvaluateInstancesResponse_EvaluationResults() {}
+
+func (*EvaluateInstancesResponse_RougeResults) isEvaluateInstancesResponse_EvaluationResults() {}
+
+func (*EvaluateInstancesResponse_FluencyResult) isEvaluateInstancesResponse_EvaluationResults() {}
+
+func (*EvaluateInstancesResponse_CoherenceResult) isEvaluateInstancesResponse_EvaluationResults() {}
+
+func (*EvaluateInstancesResponse_SafetyResult) isEvaluateInstancesResponse_EvaluationResults() {}
+
+func (*EvaluateInstancesResponse_GroundednessResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_FulfillmentResult) isEvaluateInstancesResponse_EvaluationResults() {}
+
+func (*EvaluateInstancesResponse_SummarizationQualityResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_PairwiseSummarizationQualityResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_SummarizationHelpfulnessResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_SummarizationVerbosityResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_QuestionAnsweringQualityResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_PairwiseQuestionAnsweringQualityResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_QuestionAnsweringRelevanceResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_QuestionAnsweringHelpfulnessResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_QuestionAnsweringCorrectnessResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_PointwiseMetricResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_PairwiseMetricResult) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_ToolCallValidResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_ToolNameMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_ToolParameterKeyMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_ToolParameterKvMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_CometResult) isEvaluateInstancesResponse_EvaluationResults() {}
+
+func (*EvaluateInstancesResponse_MetricxResult) isEvaluateInstancesResponse_EvaluationResults() {}
+
+func (*EvaluateInstancesResponse_TrajectoryExactMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_TrajectoryInOrderMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_TrajectoryAnyOrderMatchResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_TrajectoryPrecisionResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_TrajectoryRecallResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+func (*EvaluateInstancesResponse_TrajectorySingleToolUseResults) isEvaluateInstancesResponse_EvaluationResults() {
+}
+
+// Input for exact match metric.
+type ExactMatchInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for rouge score metric.
-	MetricSpec *RougeSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated rouge instances.
-	Instances []*RougeInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Required. Spec for exact match metric.
+	MetricSpec *ExactMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated exact match instances.
+	Instances []*ExactMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *RougeInput) Reset() {
-	*x = RougeInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[13]
+func (x *ExactMatchInput) Reset() {
+	*x = ExactMatchInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[10]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *RougeInput) String() string {
+func (x *ExactMatchInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*RougeInput) ProtoMessage() {}
+func (*ExactMatchInput) ProtoMessage() {}
 
-func (x *RougeInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[13]
+func (x *ExactMatchInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[10]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -1931,27 +2058,27 @@ func (x *RougeInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use RougeInput.ProtoReflect.Descriptor instead.
-func (*RougeInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{13}
+// Deprecated: Use ExactMatchInput.ProtoReflect.Descriptor instead.
+func (*ExactMatchInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{10}
 }
 
-func (x *RougeInput) GetMetricSpec() *RougeSpec {
+func (x *ExactMatchInput) GetMetricSpec() *ExactMatchSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *RougeInput) GetInstances() []*RougeInstance {
+func (x *ExactMatchInput) GetInstances() []*ExactMatchInstance {
 	if x != nil {
 		return x.Instances
 	}
 	return nil
 }
 
-// Spec for rouge instance.
-type RougeInstance struct {
+// Spec for exact match instance.
+type ExactMatchInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -1962,21 +2089,21 @@ type RougeInstance struct {
 	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
 }
 
-func (x *RougeInstance) Reset() {
-	*x = RougeInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[14]
+func (x *ExactMatchInstance) Reset() {
+	*x = ExactMatchInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[11]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *RougeInstance) String() string {
+func (x *ExactMatchInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*RougeInstance) ProtoMessage() {}
+func (*ExactMatchInstance) ProtoMessage() {}
 
-func (x *RougeInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[14]
+func (x *ExactMatchInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[11]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -1987,55 +2114,48 @@ func (x *RougeInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use RougeInstance.ProtoReflect.Descriptor instead.
-func (*RougeInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{14}
+// Deprecated: Use ExactMatchInstance.ProtoReflect.Descriptor instead.
+func (*ExactMatchInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{11}
 }
 
-func (x *RougeInstance) GetPrediction() string {
+func (x *ExactMatchInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *RougeInstance) GetReference() string {
+func (x *ExactMatchInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-// Spec for rouge score metric - calculates the recall of n-grams in prediction
-// as compared to reference - returns a score ranging between 0 and 1.
-type RougeSpec struct {
+// Spec for exact match metric - returns 1 if prediction and reference exactly
+// matches, otherwise 0.
+type ExactMatchSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
-
-	// Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-	RougeType string `protobuf:"bytes,1,opt,name=rouge_type,json=rougeType,proto3" json:"rouge_type,omitempty"`
-	// Optional. Whether to use stemmer to compute rouge score.
-	UseStemmer bool `protobuf:"varint,2,opt,name=use_stemmer,json=useStemmer,proto3" json:"use_stemmer,omitempty"`
-	// Optional. Whether to split summaries while using rougeLsum.
-	SplitSummaries bool `protobuf:"varint,3,opt,name=split_summaries,json=splitSummaries,proto3" json:"split_summaries,omitempty"`
 }
 
-func (x *RougeSpec) Reset() {
-	*x = RougeSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[15]
+func (x *ExactMatchSpec) Reset() {
+	*x = ExactMatchSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[12]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *RougeSpec) String() string {
+func (x *ExactMatchSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*RougeSpec) ProtoMessage() {}
+func (*ExactMatchSpec) ProtoMessage() {}
 
-func (x *RougeSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[15]
+func (x *ExactMatchSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[12]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2046,57 +2166,36 @@ func (x *RougeSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use RougeSpec.ProtoReflect.Descriptor instead.
-func (*RougeSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{15}
-}
-
-func (x *RougeSpec) GetRougeType() string {
-	if x != nil {
-		return x.RougeType
-	}
-	return ""
+// Deprecated: Use ExactMatchSpec.ProtoReflect.Descriptor instead.
+func (*ExactMatchSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{12}
 }
 
-func (x *RougeSpec) GetUseStemmer() bool {
-	if x != nil {
-		return x.UseStemmer
-	}
-	return false
-}
-
-func (x *RougeSpec) GetSplitSummaries() bool {
-	if x != nil {
-		return x.SplitSummaries
-	}
-	return false
-}
-
-// Results for rouge metric.
-type RougeResults struct {
+// Results for exact match metric.
+type ExactMatchResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Rouge metric values.
-	RougeMetricValues []*RougeMetricValue `protobuf:"bytes,1,rep,name=rouge_metric_values,json=rougeMetricValues,proto3" json:"rouge_metric_values,omitempty"`
+	// Output only. Exact match metric values.
+	ExactMatchMetricValues []*ExactMatchMetricValue `protobuf:"bytes,1,rep,name=exact_match_metric_values,json=exactMatchMetricValues,proto3" json:"exact_match_metric_values,omitempty"`
 }
 
-func (x *RougeResults) Reset() {
-	*x = RougeResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[16]
+func (x *ExactMatchResults) Reset() {
+	*x = ExactMatchResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[13]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *RougeResults) String() string {
+func (x *ExactMatchResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*RougeResults) ProtoMessage() {}
+func (*ExactMatchResults) ProtoMessage() {}
 
-func (x *RougeResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[16]
+func (x *ExactMatchResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[13]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2107,43 +2206,43 @@ func (x *RougeResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use RougeResults.ProtoReflect.Descriptor instead.
-func (*RougeResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{16}
+// Deprecated: Use ExactMatchResults.ProtoReflect.Descriptor instead.
+func (*ExactMatchResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{13}
 }
 
-func (x *RougeResults) GetRougeMetricValues() []*RougeMetricValue {
+func (x *ExactMatchResults) GetExactMatchMetricValues() []*ExactMatchMetricValue {
 	if x != nil {
-		return x.RougeMetricValues
+		return x.ExactMatchMetricValues
 	}
 	return nil
 }
 
-// Rouge metric value for an instance.
-type RougeMetricValue struct {
+// Exact match metric value for an instance.
+type ExactMatchMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Rouge score.
+	// Output only. Exact match score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *RougeMetricValue) Reset() {
-	*x = RougeMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[17]
+func (x *ExactMatchMetricValue) Reset() {
+	*x = ExactMatchMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[14]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *RougeMetricValue) String() string {
+func (x *ExactMatchMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*RougeMetricValue) ProtoMessage() {}
+func (*ExactMatchMetricValue) ProtoMessage() {}
 
-func (x *RougeMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[17]
+func (x *ExactMatchMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[14]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2154,45 +2253,45 @@ func (x *RougeMetricValue) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use RougeMetricValue.ProtoReflect.Descriptor instead.
-func (*RougeMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{17}
+// Deprecated: Use ExactMatchMetricValue.ProtoReflect.Descriptor instead.
+func (*ExactMatchMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{14}
 }
 
-func (x *RougeMetricValue) GetScore() float32 {
+func (x *ExactMatchMetricValue) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Input for coherence metric.
-type CoherenceInput struct {
+// Input for bleu metric.
+type BleuInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for coherence score metric.
-	MetricSpec *CoherenceSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Coherence instance.
-	Instance *CoherenceInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for bleu score metric.
+	MetricSpec *BleuSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated bleu instances.
+	Instances []*BleuInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *CoherenceInput) Reset() {
-	*x = CoherenceInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[18]
+func (x *BleuInput) Reset() {
+	*x = BleuInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[15]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *CoherenceInput) String() string {
+func (x *BleuInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*CoherenceInput) ProtoMessage() {}
+func (*BleuInput) ProtoMessage() {}
 
-func (x *CoherenceInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[18]
+func (x *BleuInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[15]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2203,50 +2302,52 @@ func (x *CoherenceInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use CoherenceInput.ProtoReflect.Descriptor instead.
-func (*CoherenceInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{18}
+// Deprecated: Use BleuInput.ProtoReflect.Descriptor instead.
+func (*BleuInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{15}
 }
 
-func (x *CoherenceInput) GetMetricSpec() *CoherenceSpec {
+func (x *BleuInput) GetMetricSpec() *BleuSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *CoherenceInput) GetInstance() *CoherenceInstance {
+func (x *BleuInput) GetInstances() []*BleuInstance {
 	if x != nil {
-		return x.Instance
+		return x.Instances
 	}
 	return nil
 }
 
-// Spec for coherence instance.
-type CoherenceInstance struct {
+// Spec for bleu instance.
+type BleuInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Required. Output of the evaluated model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Required. Ground truth used to compare against the prediction.
+	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
 }
 
-func (x *CoherenceInstance) Reset() {
-	*x = CoherenceInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[19]
+func (x *BleuInstance) Reset() {
+	*x = BleuInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[16]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *CoherenceInstance) String() string {
+func (x *BleuInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*CoherenceInstance) ProtoMessage() {}
+func (*BleuInstance) ProtoMessage() {}
 
-func (x *CoherenceInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[19]
+func (x *BleuInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[16]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2257,43 +2358,51 @@ func (x *CoherenceInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use CoherenceInstance.ProtoReflect.Descriptor instead.
-func (*CoherenceInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{19}
+// Deprecated: Use BleuInstance.ProtoReflect.Descriptor instead.
+func (*BleuInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{16}
 }
 
-func (x *CoherenceInstance) GetPrediction() string {
+func (x *BleuInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-// Spec for coherence score metric.
-type CoherenceSpec struct {
+func (x *BleuInstance) GetReference() string {
+	if x != nil && x.Reference != nil {
+		return *x.Reference
+	}
+	return ""
+}
+
+// Spec for bleu score metric - calculates the precision of n-grams in the
+// prediction as compared to reference - returns a score ranging between 0 to 1.
+type BleuSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Optional. Which version to use for evaluation.
-	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
+	// Optional. Whether to use_effective_order to compute bleu score.
+	UseEffectiveOrder bool `protobuf:"varint,1,opt,name=use_effective_order,json=useEffectiveOrder,proto3" json:"use_effective_order,omitempty"`
 }
 
-func (x *CoherenceSpec) Reset() {
-	*x = CoherenceSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[20]
+func (x *BleuSpec) Reset() {
+	*x = BleuSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[17]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *CoherenceSpec) String() string {
+func (x *BleuSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*CoherenceSpec) ProtoMessage() {}
+func (*BleuSpec) ProtoMessage() {}
 
-func (x *CoherenceSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[20]
+func (x *BleuSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[17]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2304,47 +2413,43 @@ func (x *CoherenceSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use CoherenceSpec.ProtoReflect.Descriptor instead.
-func (*CoherenceSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{20}
+// Deprecated: Use BleuSpec.ProtoReflect.Descriptor instead.
+func (*BleuSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{17}
 }
 
-func (x *CoherenceSpec) GetVersion() int32 {
+func (x *BleuSpec) GetUseEffectiveOrder() bool {
 	if x != nil {
-		return x.Version
+		return x.UseEffectiveOrder
 	}
-	return 0
+	return false
 }
 
-// Spec for coherence result.
-type CoherenceResult struct {
+// Results for bleu metric.
+type BleuResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Coherence score.
-	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for coherence score.
-	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for coherence score.
-	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
+	// Output only. Bleu metric values.
+	BleuMetricValues []*BleuMetricValue `protobuf:"bytes,1,rep,name=bleu_metric_values,json=bleuMetricValues,proto3" json:"bleu_metric_values,omitempty"`
 }
 
-func (x *CoherenceResult) Reset() {
-	*x = CoherenceResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[21]
+func (x *BleuResults) Reset() {
+	*x = BleuResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[18]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *CoherenceResult) String() string {
+func (x *BleuResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*CoherenceResult) ProtoMessage() {}
+func (*BleuResults) ProtoMessage() {}
 
-func (x *CoherenceResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[21]
+func (x *BleuResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[18]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2355,59 +2460,43 @@ func (x *CoherenceResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use CoherenceResult.ProtoReflect.Descriptor instead.
-func (*CoherenceResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{21}
-}
-
-func (x *CoherenceResult) GetScore() float32 {
-	if x != nil && x.Score != nil {
-		return *x.Score
-	}
-	return 0
+// Deprecated: Use BleuResults.ProtoReflect.Descriptor instead.
+func (*BleuResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{18}
 }
 
-func (x *CoherenceResult) GetExplanation() string {
+func (x *BleuResults) GetBleuMetricValues() []*BleuMetricValue {
 	if x != nil {
-		return x.Explanation
-	}
-	return ""
-}
-
-func (x *CoherenceResult) GetConfidence() float32 {
-	if x != nil && x.Confidence != nil {
-		return *x.Confidence
+		return x.BleuMetricValues
 	}
-	return 0
+	return nil
 }
 
-// Input for fluency metric.
-type FluencyInput struct {
+// Bleu metric value for an instance.
+type BleuMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for fluency score metric.
-	MetricSpec *FluencySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Fluency instance.
-	Instance *FluencyInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Output only. Bleu score.
+	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *FluencyInput) Reset() {
-	*x = FluencyInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[22]
+func (x *BleuMetricValue) Reset() {
+	*x = BleuMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[19]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *FluencyInput) String() string {
+func (x *BleuMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*FluencyInput) ProtoMessage() {}
+func (*BleuMetricValue) ProtoMessage() {}
 
-func (x *FluencyInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[22]
+func (x *BleuMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[19]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2418,50 +2507,45 @@ func (x *FluencyInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use FluencyInput.ProtoReflect.Descriptor instead.
-func (*FluencyInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{22}
-}
-
-func (x *FluencyInput) GetMetricSpec() *FluencySpec {
-	if x != nil {
-		return x.MetricSpec
-	}
-	return nil
+// Deprecated: Use BleuMetricValue.ProtoReflect.Descriptor instead.
+func (*BleuMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{19}
 }
 
-func (x *FluencyInput) GetInstance() *FluencyInstance {
-	if x != nil {
-		return x.Instance
+func (x *BleuMetricValue) GetScore() float32 {
+	if x != nil && x.Score != nil {
+		return *x.Score
 	}
-	return nil
+	return 0
 }
 
-// Spec for fluency instance.
-type FluencyInstance struct {
+// Input for rouge metric.
+type RougeInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Output of the evaluated model.
-	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Required. Spec for rouge score metric.
+	MetricSpec *RougeSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated rouge instances.
+	Instances []*RougeInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *FluencyInstance) Reset() {
-	*x = FluencyInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[23]
+func (x *RougeInput) Reset() {
+	*x = RougeInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[20]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *FluencyInstance) String() string {
+func (x *RougeInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*FluencyInstance) ProtoMessage() {}
+func (*RougeInput) ProtoMessage() {}
 
-func (x *FluencyInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[23]
+func (x *RougeInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[20]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2472,43 +2556,52 @@ func (x *FluencyInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use FluencyInstance.ProtoReflect.Descriptor instead.
-func (*FluencyInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{23}
+// Deprecated: Use RougeInput.ProtoReflect.Descriptor instead.
+func (*RougeInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{20}
 }
 
-func (x *FluencyInstance) GetPrediction() string {
-	if x != nil && x.Prediction != nil {
-		return *x.Prediction
+func (x *RougeInput) GetMetricSpec() *RougeSpec {
+	if x != nil {
+		return x.MetricSpec
 	}
-	return ""
+	return nil
 }
 
-// Spec for fluency score metric.
-type FluencySpec struct {
+func (x *RougeInput) GetInstances() []*RougeInstance {
+	if x != nil {
+		return x.Instances
+	}
+	return nil
+}
+
+// Spec for rouge instance.
+type RougeInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Optional. Which version to use for evaluation.
-	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
+	// Required. Output of the evaluated model.
+	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Required. Ground truth used to compare against the prediction.
+	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
 }
 
-func (x *FluencySpec) Reset() {
-	*x = FluencySpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[24]
+func (x *RougeInstance) Reset() {
+	*x = RougeInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[21]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *FluencySpec) String() string {
+func (x *RougeInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*FluencySpec) ProtoMessage() {}
+func (*RougeInstance) ProtoMessage() {}
 
-func (x *FluencySpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[24]
+func (x *RougeInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[21]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2519,47 +2612,55 @@ func (x *FluencySpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use FluencySpec.ProtoReflect.Descriptor instead.
-func (*FluencySpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{24}
+// Deprecated: Use RougeInstance.ProtoReflect.Descriptor instead.
+func (*RougeInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{21}
 }
 
-func (x *FluencySpec) GetVersion() int32 {
-	if x != nil {
-		return x.Version
+func (x *RougeInstance) GetPrediction() string {
+	if x != nil && x.Prediction != nil {
+		return *x.Prediction
 	}
-	return 0
+	return ""
 }
 
-// Spec for fluency result.
-type FluencyResult struct {
+func (x *RougeInstance) GetReference() string {
+	if x != nil && x.Reference != nil {
+		return *x.Reference
+	}
+	return ""
+}
+
+// Spec for rouge score metric - calculates the recall of n-grams in prediction
+// as compared to reference - returns a score ranging between 0 and 1.
+type RougeSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Fluency score.
-	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for fluency score.
-	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for fluency score.
-	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
+	// Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+	RougeType string `protobuf:"bytes,1,opt,name=rouge_type,json=rougeType,proto3" json:"rouge_type,omitempty"`
+	// Optional. Whether to use stemmer to compute rouge score.
+	UseStemmer bool `protobuf:"varint,2,opt,name=use_stemmer,json=useStemmer,proto3" json:"use_stemmer,omitempty"`
+	// Optional. Whether to split summaries while using rougeLsum.
+	SplitSummaries bool `protobuf:"varint,3,opt,name=split_summaries,json=splitSummaries,proto3" json:"split_summaries,omitempty"`
 }
 
-func (x *FluencyResult) Reset() {
-	*x = FluencyResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[25]
+func (x *RougeSpec) Reset() {
+	*x = RougeSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[22]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *FluencyResult) String() string {
+func (x *RougeSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*FluencyResult) ProtoMessage() {}
+func (*RougeSpec) ProtoMessage() {}
 
-func (x *FluencyResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[25]
+func (x *RougeSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[22]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2570,59 +2671,57 @@ func (x *FluencyResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use FluencyResult.ProtoReflect.Descriptor instead.
-func (*FluencyResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{25}
+// Deprecated: Use RougeSpec.ProtoReflect.Descriptor instead.
+func (*RougeSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{22}
 }
 
-func (x *FluencyResult) GetScore() float32 {
-	if x != nil && x.Score != nil {
-		return *x.Score
+func (x *RougeSpec) GetRougeType() string {
+	if x != nil {
+		return x.RougeType
 	}
-	return 0
+	return ""
 }
 
-func (x *FluencyResult) GetExplanation() string {
+func (x *RougeSpec) GetUseStemmer() bool {
 	if x != nil {
-		return x.Explanation
+		return x.UseStemmer
 	}
-	return ""
+	return false
 }
 
-func (x *FluencyResult) GetConfidence() float32 {
-	if x != nil && x.Confidence != nil {
-		return *x.Confidence
+func (x *RougeSpec) GetSplitSummaries() bool {
+	if x != nil {
+		return x.SplitSummaries
 	}
-	return 0
+	return false
 }
 
-// Input for safety metric.
-type SafetyInput struct {
+// Results for rouge metric.
+type RougeResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for safety metric.
-	MetricSpec *SafetySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Safety instance.
-	Instance *SafetyInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Output only. Rouge metric values.
+	RougeMetricValues []*RougeMetricValue `protobuf:"bytes,1,rep,name=rouge_metric_values,json=rougeMetricValues,proto3" json:"rouge_metric_values,omitempty"`
 }
 
-func (x *SafetyInput) Reset() {
-	*x = SafetyInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[26]
+func (x *RougeResults) Reset() {
+	*x = RougeResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[23]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SafetyInput) String() string {
+func (x *RougeResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SafetyInput) ProtoMessage() {}
+func (*RougeResults) ProtoMessage() {}
 
-func (x *SafetyInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[26]
+func (x *RougeResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[23]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2633,50 +2732,43 @@ func (x *SafetyInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SafetyInput.ProtoReflect.Descriptor instead.
-func (*SafetyInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{26}
-}
-
-func (x *SafetyInput) GetMetricSpec() *SafetySpec {
-	if x != nil {
-		return x.MetricSpec
-	}
-	return nil
+// Deprecated: Use RougeResults.ProtoReflect.Descriptor instead.
+func (*RougeResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{23}
 }
 
-func (x *SafetyInput) GetInstance() *SafetyInstance {
+func (x *RougeResults) GetRougeMetricValues() []*RougeMetricValue {
 	if x != nil {
-		return x.Instance
+		return x.RougeMetricValues
 	}
 	return nil
 }
 
-// Spec for safety instance.
-type SafetyInstance struct {
+// Rouge metric value for an instance.
+type RougeMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Output of the evaluated model.
-	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Output only. Rouge score.
+	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *SafetyInstance) Reset() {
-	*x = SafetyInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[27]
+func (x *RougeMetricValue) Reset() {
+	*x = RougeMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[24]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SafetyInstance) String() string {
+func (x *RougeMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SafetyInstance) ProtoMessage() {}
+func (*RougeMetricValue) ProtoMessage() {}
 
-func (x *SafetyInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[27]
+func (x *RougeMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[24]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2687,43 +2779,45 @@ func (x *SafetyInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SafetyInstance.ProtoReflect.Descriptor instead.
-func (*SafetyInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{27}
+// Deprecated: Use RougeMetricValue.ProtoReflect.Descriptor instead.
+func (*RougeMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{24}
 }
 
-func (x *SafetyInstance) GetPrediction() string {
-	if x != nil && x.Prediction != nil {
-		return *x.Prediction
+func (x *RougeMetricValue) GetScore() float32 {
+	if x != nil && x.Score != nil {
+		return *x.Score
 	}
-	return ""
+	return 0
 }
 
-// Spec for safety metric.
-type SafetySpec struct {
+// Input for coherence metric.
+type CoherenceInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Optional. Which version to use for evaluation.
-	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
+	// Required. Spec for coherence score metric.
+	MetricSpec *CoherenceSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Coherence instance.
+	Instance *CoherenceInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *SafetySpec) Reset() {
-	*x = SafetySpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[28]
+func (x *CoherenceInput) Reset() {
+	*x = CoherenceInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[25]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SafetySpec) String() string {
+func (x *CoherenceInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SafetySpec) ProtoMessage() {}
+func (*CoherenceInput) ProtoMessage() {}
 
-func (x *SafetySpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[28]
+func (x *CoherenceInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[25]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2734,47 +2828,148 @@ func (x *SafetySpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SafetySpec.ProtoReflect.Descriptor instead.
-func (*SafetySpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{28}
+// Deprecated: Use CoherenceInput.ProtoReflect.Descriptor instead.
+func (*CoherenceInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{25}
 }
 
-func (x *SafetySpec) GetVersion() int32 {
+func (x *CoherenceInput) GetMetricSpec() *CoherenceSpec {
+	if x != nil {
+		return x.MetricSpec
+	}
+	return nil
+}
+
+func (x *CoherenceInput) GetInstance() *CoherenceInstance {
+	if x != nil {
+		return x.Instance
+	}
+	return nil
+}
+
+// Spec for coherence instance.
+type CoherenceInstance struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Required. Output of the evaluated model.
+	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+}
+
+func (x *CoherenceInstance) Reset() {
+	*x = CoherenceInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[26]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *CoherenceInstance) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*CoherenceInstance) ProtoMessage() {}
+
+func (x *CoherenceInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[26]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use CoherenceInstance.ProtoReflect.Descriptor instead.
+func (*CoherenceInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{26}
+}
+
+func (x *CoherenceInstance) GetPrediction() string {
+	if x != nil && x.Prediction != nil {
+		return *x.Prediction
+	}
+	return ""
+}
+
+// Spec for coherence score metric.
+type CoherenceSpec struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Optional. Which version to use for evaluation.
+	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
+}
+
+func (x *CoherenceSpec) Reset() {
+	*x = CoherenceSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[27]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *CoherenceSpec) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*CoherenceSpec) ProtoMessage() {}
+
+func (x *CoherenceSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[27]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use CoherenceSpec.ProtoReflect.Descriptor instead.
+func (*CoherenceSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{27}
+}
+
+func (x *CoherenceSpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for safety result.
-type SafetyResult struct {
+// Spec for coherence result.
+type CoherenceResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Safety score.
+	// Output only. Coherence score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for safety score.
+	// Output only. Explanation for coherence score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for safety score.
+	// Output only. Confidence for coherence score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *SafetyResult) Reset() {
-	*x = SafetyResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[29]
+func (x *CoherenceResult) Reset() {
+	*x = CoherenceResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[28]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SafetyResult) String() string {
+func (x *CoherenceResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SafetyResult) ProtoMessage() {}
+func (*CoherenceResult) ProtoMessage() {}
 
-func (x *SafetyResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[29]
+func (x *CoherenceResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[28]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2785,59 +2980,59 @@ func (x *SafetyResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SafetyResult.ProtoReflect.Descriptor instead.
-func (*SafetyResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{29}
+// Deprecated: Use CoherenceResult.ProtoReflect.Descriptor instead.
+func (*CoherenceResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{28}
 }
 
-func (x *SafetyResult) GetScore() float32 {
+func (x *CoherenceResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-func (x *SafetyResult) GetExplanation() string {
+func (x *CoherenceResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *SafetyResult) GetConfidence() float32 {
+func (x *CoherenceResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for groundedness metric.
-type GroundednessInput struct {
+// Input for fluency metric.
+type FluencyInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for groundedness metric.
-	MetricSpec *GroundednessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Groundedness instance.
-	Instance *GroundednessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for fluency score metric.
+	MetricSpec *FluencySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Fluency instance.
+	Instance *FluencyInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *GroundednessInput) Reset() {
-	*x = GroundednessInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[30]
+func (x *FluencyInput) Reset() {
+	*x = FluencyInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[29]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *GroundednessInput) String() string {
+func (x *FluencyInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*GroundednessInput) ProtoMessage() {}
+func (*FluencyInput) ProtoMessage() {}
 
-func (x *GroundednessInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[30]
+func (x *FluencyInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[29]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2848,53 +3043,50 @@ func (x *GroundednessInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use GroundednessInput.ProtoReflect.Descriptor instead.
-func (*GroundednessInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{30}
+// Deprecated: Use FluencyInput.ProtoReflect.Descriptor instead.
+func (*FluencyInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{29}
 }
 
-func (x *GroundednessInput) GetMetricSpec() *GroundednessSpec {
+func (x *FluencyInput) GetMetricSpec() *FluencySpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *GroundednessInput) GetInstance() *GroundednessInstance {
+func (x *FluencyInput) GetInstance() *FluencyInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for groundedness instance.
-type GroundednessInstance struct {
+// Spec for fluency instance.
+type FluencyInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Required. Output of the evaluated model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Required. Background information provided in context used to compare
-	// against the prediction.
-	Context *string `protobuf:"bytes,2,opt,name=context,proto3,oneof" json:"context,omitempty"`
 }
 
-func (x *GroundednessInstance) Reset() {
-	*x = GroundednessInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[31]
+func (x *FluencyInstance) Reset() {
+	*x = FluencyInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[30]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *GroundednessInstance) String() string {
+func (x *FluencyInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*GroundednessInstance) ProtoMessage() {}
+func (*FluencyInstance) ProtoMessage() {}
 
-func (x *GroundednessInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[31]
+func (x *FluencyInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[30]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2905,27 +3097,20 @@ func (x *GroundednessInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use GroundednessInstance.ProtoReflect.Descriptor instead.
-func (*GroundednessInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{31}
+// Deprecated: Use FluencyInstance.ProtoReflect.Descriptor instead.
+func (*FluencyInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{30}
 }
 
-func (x *GroundednessInstance) GetPrediction() string {
+func (x *FluencyInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *GroundednessInstance) GetContext() string {
-	if x != nil && x.Context != nil {
-		return *x.Context
-	}
-	return ""
-}
-
-// Spec for groundedness metric.
-type GroundednessSpec struct {
+// Spec for fluency score metric.
+type FluencySpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -2934,21 +3119,21 @@ type GroundednessSpec struct {
 	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *GroundednessSpec) Reset() {
-	*x = GroundednessSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[32]
+func (x *FluencySpec) Reset() {
+	*x = FluencySpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[31]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *GroundednessSpec) String() string {
+func (x *FluencySpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*GroundednessSpec) ProtoMessage() {}
+func (*FluencySpec) ProtoMessage() {}
 
-func (x *GroundednessSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[32]
+func (x *FluencySpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[31]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -2959,47 +3144,47 @@ func (x *GroundednessSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use GroundednessSpec.ProtoReflect.Descriptor instead.
-func (*GroundednessSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{32}
+// Deprecated: Use FluencySpec.ProtoReflect.Descriptor instead.
+func (*FluencySpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{31}
 }
 
-func (x *GroundednessSpec) GetVersion() int32 {
+func (x *FluencySpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for groundedness result.
-type GroundednessResult struct {
+// Spec for fluency result.
+type FluencyResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Groundedness score.
+	// Output only. Fluency score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for groundedness score.
+	// Output only. Explanation for fluency score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for groundedness score.
+	// Output only. Confidence for fluency score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *GroundednessResult) Reset() {
-	*x = GroundednessResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[33]
+func (x *FluencyResult) Reset() {
+	*x = FluencyResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[32]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *GroundednessResult) String() string {
+func (x *FluencyResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*GroundednessResult) ProtoMessage() {}
+func (*FluencyResult) ProtoMessage() {}
 
-func (x *GroundednessResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[33]
+func (x *FluencyResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[32]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3010,59 +3195,59 @@ func (x *GroundednessResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use GroundednessResult.ProtoReflect.Descriptor instead.
-func (*GroundednessResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{33}
+// Deprecated: Use FluencyResult.ProtoReflect.Descriptor instead.
+func (*FluencyResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{32}
 }
 
-func (x *GroundednessResult) GetScore() float32 {
+func (x *FluencyResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-func (x *GroundednessResult) GetExplanation() string {
+func (x *FluencyResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *GroundednessResult) GetConfidence() float32 {
+func (x *FluencyResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for fulfillment metric.
-type FulfillmentInput struct {
+// Input for safety metric.
+type SafetyInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for fulfillment score metric.
-	MetricSpec *FulfillmentSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Fulfillment instance.
-	Instance *FulfillmentInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for safety metric.
+	MetricSpec *SafetySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Safety instance.
+	Instance *SafetyInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *FulfillmentInput) Reset() {
-	*x = FulfillmentInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[34]
+func (x *SafetyInput) Reset() {
+	*x = SafetyInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[33]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *FulfillmentInput) String() string {
+func (x *SafetyInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*FulfillmentInput) ProtoMessage() {}
+func (*SafetyInput) ProtoMessage() {}
 
-func (x *FulfillmentInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[34]
+func (x *SafetyInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[33]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3073,52 +3258,50 @@ func (x *FulfillmentInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use FulfillmentInput.ProtoReflect.Descriptor instead.
-func (*FulfillmentInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{34}
+// Deprecated: Use SafetyInput.ProtoReflect.Descriptor instead.
+func (*SafetyInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{33}
 }
 
-func (x *FulfillmentInput) GetMetricSpec() *FulfillmentSpec {
+func (x *SafetyInput) GetMetricSpec() *SafetySpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *FulfillmentInput) GetInstance() *FulfillmentInstance {
+func (x *SafetyInput) GetInstance() *SafetyInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for fulfillment instance.
-type FulfillmentInstance struct {
+// Spec for safety instance.
+type SafetyInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Required. Output of the evaluated model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Required. Inference instruction prompt to compare prediction with.
-	Instruction *string `protobuf:"bytes,2,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *FulfillmentInstance) Reset() {
-	*x = FulfillmentInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[35]
+func (x *SafetyInstance) Reset() {
+	*x = SafetyInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[34]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *FulfillmentInstance) String() string {
+func (x *SafetyInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*FulfillmentInstance) ProtoMessage() {}
+func (*SafetyInstance) ProtoMessage() {}
 
-func (x *FulfillmentInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[35]
+func (x *SafetyInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[34]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3129,27 +3312,20 @@ func (x *FulfillmentInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use FulfillmentInstance.ProtoReflect.Descriptor instead.
-func (*FulfillmentInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{35}
+// Deprecated: Use SafetyInstance.ProtoReflect.Descriptor instead.
+func (*SafetyInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{34}
 }
 
-func (x *FulfillmentInstance) GetPrediction() string {
+func (x *SafetyInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *FulfillmentInstance) GetInstruction() string {
-	if x != nil && x.Instruction != nil {
-		return *x.Instruction
-	}
-	return ""
-}
-
-// Spec for fulfillment metric.
-type FulfillmentSpec struct {
+// Spec for safety metric.
+type SafetySpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -3158,21 +3334,21 @@ type FulfillmentSpec struct {
 	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *FulfillmentSpec) Reset() {
-	*x = FulfillmentSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[36]
+func (x *SafetySpec) Reset() {
+	*x = SafetySpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[35]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *FulfillmentSpec) String() string {
+func (x *SafetySpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*FulfillmentSpec) ProtoMessage() {}
+func (*SafetySpec) ProtoMessage() {}
 
-func (x *FulfillmentSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[36]
+func (x *SafetySpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[35]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3183,47 +3359,47 @@ func (x *FulfillmentSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use FulfillmentSpec.ProtoReflect.Descriptor instead.
-func (*FulfillmentSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{36}
+// Deprecated: Use SafetySpec.ProtoReflect.Descriptor instead.
+func (*SafetySpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{35}
 }
 
-func (x *FulfillmentSpec) GetVersion() int32 {
+func (x *SafetySpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for fulfillment result.
-type FulfillmentResult struct {
+// Spec for safety result.
+type SafetyResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Fulfillment score.
+	// Output only. Safety score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for fulfillment score.
+	// Output only. Explanation for safety score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for fulfillment score.
+	// Output only. Confidence for safety score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *FulfillmentResult) Reset() {
-	*x = FulfillmentResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[37]
+func (x *SafetyResult) Reset() {
+	*x = SafetyResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[36]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *FulfillmentResult) String() string {
+func (x *SafetyResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*FulfillmentResult) ProtoMessage() {}
+func (*SafetyResult) ProtoMessage() {}
 
-func (x *FulfillmentResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[37]
+func (x *SafetyResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[36]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3234,59 +3410,59 @@ func (x *FulfillmentResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use FulfillmentResult.ProtoReflect.Descriptor instead.
-func (*FulfillmentResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{37}
+// Deprecated: Use SafetyResult.ProtoReflect.Descriptor instead.
+func (*SafetyResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{36}
 }
 
-func (x *FulfillmentResult) GetScore() float32 {
+func (x *SafetyResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-func (x *FulfillmentResult) GetExplanation() string {
+func (x *SafetyResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *FulfillmentResult) GetConfidence() float32 {
+func (x *SafetyResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for summarization quality metric.
-type SummarizationQualityInput struct {
+// Input for groundedness metric.
+type GroundednessInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for summarization quality score metric.
-	MetricSpec *SummarizationQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Summarization quality instance.
-	Instance *SummarizationQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for groundedness metric.
+	MetricSpec *GroundednessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Groundedness instance.
+	Instance *GroundednessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *SummarizationQualityInput) Reset() {
-	*x = SummarizationQualityInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[38]
+func (x *GroundednessInput) Reset() {
+	*x = GroundednessInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[37]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationQualityInput) String() string {
+func (x *GroundednessInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationQualityInput) ProtoMessage() {}
+func (*GroundednessInput) ProtoMessage() {}
 
-func (x *SummarizationQualityInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[38]
+func (x *GroundednessInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[37]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3297,56 +3473,53 @@ func (x *SummarizationQualityInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationQualityInput.ProtoReflect.Descriptor instead.
-func (*SummarizationQualityInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{38}
+// Deprecated: Use GroundednessInput.ProtoReflect.Descriptor instead.
+func (*GroundednessInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{37}
 }
 
-func (x *SummarizationQualityInput) GetMetricSpec() *SummarizationQualitySpec {
+func (x *GroundednessInput) GetMetricSpec() *GroundednessSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *SummarizationQualityInput) GetInstance() *SummarizationQualityInstance {
+func (x *GroundednessInput) GetInstance() *GroundednessInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for summarization quality instance.
-type SummarizationQualityInstance struct {
+// Spec for groundedness instance.
+type GroundednessInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Required. Output of the evaluated model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Optional. Ground truth used to compare against the prediction.
-	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
-	// Required. Text to be summarized.
-	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
-	// Required. Summarization prompt for LLM.
-	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
+	// Required. Background information provided in context used to compare
+	// against the prediction.
+	Context *string `protobuf:"bytes,2,opt,name=context,proto3,oneof" json:"context,omitempty"`
 }
 
-func (x *SummarizationQualityInstance) Reset() {
-	*x = SummarizationQualityInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[39]
+func (x *GroundednessInstance) Reset() {
+	*x = GroundednessInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[38]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationQualityInstance) String() string {
+func (x *GroundednessInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationQualityInstance) ProtoMessage() {}
+func (*GroundednessInstance) ProtoMessage() {}
 
-func (x *SummarizationQualityInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[39]
+func (x *GroundednessInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[38]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3357,67 +3530,50 @@ func (x *SummarizationQualityInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationQualityInstance.ProtoReflect.Descriptor instead.
-func (*SummarizationQualityInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{39}
+// Deprecated: Use GroundednessInstance.ProtoReflect.Descriptor instead.
+func (*GroundednessInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{38}
 }
 
-func (x *SummarizationQualityInstance) GetPrediction() string {
+func (x *GroundednessInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *SummarizationQualityInstance) GetReference() string {
-	if x != nil && x.Reference != nil {
-		return *x.Reference
-	}
-	return ""
-}
-
-func (x *SummarizationQualityInstance) GetContext() string {
+func (x *GroundednessInstance) GetContext() string {
 	if x != nil && x.Context != nil {
 		return *x.Context
 	}
 	return ""
 }
 
-func (x *SummarizationQualityInstance) GetInstruction() string {
-	if x != nil && x.Instruction != nil {
-		return *x.Instruction
-	}
-	return ""
-}
-
-// Spec for summarization quality score metric.
-type SummarizationQualitySpec struct {
+// Spec for groundedness metric.
+type GroundednessSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Optional. Whether to use instance.reference to compute summarization
-	// quality.
-	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
 	// Optional. Which version to use for evaluation.
-	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
+	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *SummarizationQualitySpec) Reset() {
-	*x = SummarizationQualitySpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[40]
+func (x *GroundednessSpec) Reset() {
+	*x = GroundednessSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[39]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationQualitySpec) String() string {
+func (x *GroundednessSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationQualitySpec) ProtoMessage() {}
+func (*GroundednessSpec) ProtoMessage() {}
 
-func (x *SummarizationQualitySpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[40]
+func (x *GroundednessSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[39]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3428,54 +3584,47 @@ func (x *SummarizationQualitySpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationQualitySpec.ProtoReflect.Descriptor instead.
-func (*SummarizationQualitySpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{40}
-}
-
-func (x *SummarizationQualitySpec) GetUseReference() bool {
-	if x != nil {
-		return x.UseReference
-	}
-	return false
+// Deprecated: Use GroundednessSpec.ProtoReflect.Descriptor instead.
+func (*GroundednessSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{39}
 }
 
-func (x *SummarizationQualitySpec) GetVersion() int32 {
+func (x *GroundednessSpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for summarization quality result.
-type SummarizationQualityResult struct {
+// Spec for groundedness result.
+type GroundednessResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Summarization Quality score.
+	// Output only. Groundedness score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for summarization quality score.
+	// Output only. Explanation for groundedness score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for summarization quality score.
+	// Output only. Confidence for groundedness score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *SummarizationQualityResult) Reset() {
-	*x = SummarizationQualityResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[41]
+func (x *GroundednessResult) Reset() {
+	*x = GroundednessResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[40]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationQualityResult) String() string {
+func (x *GroundednessResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationQualityResult) ProtoMessage() {}
+func (*GroundednessResult) ProtoMessage() {}
 
-func (x *SummarizationQualityResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[41]
+func (x *GroundednessResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[40]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3486,59 +3635,59 @@ func (x *SummarizationQualityResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationQualityResult.ProtoReflect.Descriptor instead.
-func (*SummarizationQualityResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{41}
+// Deprecated: Use GroundednessResult.ProtoReflect.Descriptor instead.
+func (*GroundednessResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{40}
 }
 
-func (x *SummarizationQualityResult) GetScore() float32 {
+func (x *GroundednessResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-func (x *SummarizationQualityResult) GetExplanation() string {
+func (x *GroundednessResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *SummarizationQualityResult) GetConfidence() float32 {
+func (x *GroundednessResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for pairwise summarization quality metric.
-type PairwiseSummarizationQualityInput struct {
+// Input for fulfillment metric.
+type FulfillmentInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for pairwise summarization quality score metric.
-	MetricSpec *PairwiseSummarizationQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Pairwise summarization quality instance.
-	Instance *PairwiseSummarizationQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for fulfillment score metric.
+	MetricSpec *FulfillmentSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Fulfillment instance.
+	Instance *FulfillmentInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *PairwiseSummarizationQualityInput) Reset() {
-	*x = PairwiseSummarizationQualityInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[42]
+func (x *FulfillmentInput) Reset() {
+	*x = FulfillmentInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[41]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseSummarizationQualityInput) String() string {
+func (x *FulfillmentInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseSummarizationQualityInput) ProtoMessage() {}
+func (*FulfillmentInput) ProtoMessage() {}
 
-func (x *PairwiseSummarizationQualityInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[42]
+func (x *FulfillmentInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[41]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3549,58 +3698,52 @@ func (x *PairwiseSummarizationQualityInput) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseSummarizationQualityInput.ProtoReflect.Descriptor instead.
-func (*PairwiseSummarizationQualityInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{42}
+// Deprecated: Use FulfillmentInput.ProtoReflect.Descriptor instead.
+func (*FulfillmentInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{41}
 }
 
-func (x *PairwiseSummarizationQualityInput) GetMetricSpec() *PairwiseSummarizationQualitySpec {
+func (x *FulfillmentInput) GetMetricSpec() *FulfillmentSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *PairwiseSummarizationQualityInput) GetInstance() *PairwiseSummarizationQualityInstance {
+func (x *FulfillmentInput) GetInstance() *FulfillmentInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for pairwise summarization quality instance.
-type PairwiseSummarizationQualityInstance struct {
+// Spec for fulfillment instance.
+type FulfillmentInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Output of the candidate model.
+	// Required. Output of the evaluated model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Required. Output of the baseline model.
-	BaselinePrediction *string `protobuf:"bytes,2,opt,name=baseline_prediction,json=baselinePrediction,proto3,oneof" json:"baseline_prediction,omitempty"`
-	// Optional. Ground truth used to compare against the prediction.
-	Reference *string `protobuf:"bytes,3,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
-	// Required. Text to be summarized.
-	Context *string `protobuf:"bytes,4,opt,name=context,proto3,oneof" json:"context,omitempty"`
-	// Required. Summarization prompt for LLM.
-	Instruction *string `protobuf:"bytes,5,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
+	// Required. Inference instruction prompt to compare prediction with.
+	Instruction *string `protobuf:"bytes,2,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *PairwiseSummarizationQualityInstance) Reset() {
-	*x = PairwiseSummarizationQualityInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[43]
+func (x *FulfillmentInstance) Reset() {
+	*x = FulfillmentInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[42]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseSummarizationQualityInstance) String() string {
+func (x *FulfillmentInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseSummarizationQualityInstance) ProtoMessage() {}
+func (*FulfillmentInstance) ProtoMessage() {}
 
-func (x *PairwiseSummarizationQualityInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[43]
+func (x *FulfillmentInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[42]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3611,74 +3754,50 @@ func (x *PairwiseSummarizationQualityInstance) ProtoReflect() protoreflect.Messa
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseSummarizationQualityInstance.ProtoReflect.Descriptor instead.
-func (*PairwiseSummarizationQualityInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{43}
+// Deprecated: Use FulfillmentInstance.ProtoReflect.Descriptor instead.
+func (*FulfillmentInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{42}
 }
 
-func (x *PairwiseSummarizationQualityInstance) GetPrediction() string {
+func (x *FulfillmentInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *PairwiseSummarizationQualityInstance) GetBaselinePrediction() string {
-	if x != nil && x.BaselinePrediction != nil {
-		return *x.BaselinePrediction
-	}
-	return ""
-}
-
-func (x *PairwiseSummarizationQualityInstance) GetReference() string {
-	if x != nil && x.Reference != nil {
-		return *x.Reference
-	}
-	return ""
-}
-
-func (x *PairwiseSummarizationQualityInstance) GetContext() string {
-	if x != nil && x.Context != nil {
-		return *x.Context
-	}
-	return ""
-}
-
-func (x *PairwiseSummarizationQualityInstance) GetInstruction() string {
+func (x *FulfillmentInstance) GetInstruction() string {
 	if x != nil && x.Instruction != nil {
 		return *x.Instruction
 	}
 	return ""
 }
 
-// Spec for pairwise summarization quality score metric.
-type PairwiseSummarizationQualitySpec struct {
+// Spec for fulfillment metric.
+type FulfillmentSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Optional. Whether to use instance.reference to compute pairwise
-	// summarization quality.
-	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
 	// Optional. Which version to use for evaluation.
-	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
+	Version int32 `protobuf:"varint,1,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *PairwiseSummarizationQualitySpec) Reset() {
-	*x = PairwiseSummarizationQualitySpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[44]
+func (x *FulfillmentSpec) Reset() {
+	*x = FulfillmentSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[43]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseSummarizationQualitySpec) String() string {
+func (x *FulfillmentSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseSummarizationQualitySpec) ProtoMessage() {}
+func (*FulfillmentSpec) ProtoMessage() {}
 
-func (x *PairwiseSummarizationQualitySpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[44]
+func (x *FulfillmentSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[43]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3689,54 +3808,47 @@ func (x *PairwiseSummarizationQualitySpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseSummarizationQualitySpec.ProtoReflect.Descriptor instead.
-func (*PairwiseSummarizationQualitySpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{44}
-}
-
-func (x *PairwiseSummarizationQualitySpec) GetUseReference() bool {
-	if x != nil {
-		return x.UseReference
-	}
-	return false
+// Deprecated: Use FulfillmentSpec.ProtoReflect.Descriptor instead.
+func (*FulfillmentSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{43}
 }
 
-func (x *PairwiseSummarizationQualitySpec) GetVersion() int32 {
+func (x *FulfillmentSpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for pairwise summarization quality result.
-type PairwiseSummarizationQualityResult struct {
+// Spec for fulfillment result.
+type FulfillmentResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Pairwise summarization prediction choice.
-	PairwiseChoice PairwiseChoice `protobuf:"varint,1,opt,name=pairwise_choice,json=pairwiseChoice,proto3,enum=google.cloud.aiplatform.v1beta1.PairwiseChoice" json:"pairwise_choice,omitempty"`
-	// Output only. Explanation for summarization quality score.
+	// Output only. Fulfillment score.
+	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+	// Output only. Explanation for fulfillment score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for summarization quality score.
+	// Output only. Confidence for fulfillment score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *PairwiseSummarizationQualityResult) Reset() {
-	*x = PairwiseSummarizationQualityResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[45]
+func (x *FulfillmentResult) Reset() {
+	*x = FulfillmentResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[44]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseSummarizationQualityResult) String() string {
+func (x *FulfillmentResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseSummarizationQualityResult) ProtoMessage() {}
+func (*FulfillmentResult) ProtoMessage() {}
 
-func (x *PairwiseSummarizationQualityResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[45]
+func (x *FulfillmentResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[44]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3747,59 +3859,59 @@ func (x *PairwiseSummarizationQualityResult) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseSummarizationQualityResult.ProtoReflect.Descriptor instead.
-func (*PairwiseSummarizationQualityResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{45}
+// Deprecated: Use FulfillmentResult.ProtoReflect.Descriptor instead.
+func (*FulfillmentResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{44}
 }
 
-func (x *PairwiseSummarizationQualityResult) GetPairwiseChoice() PairwiseChoice {
-	if x != nil {
-		return x.PairwiseChoice
+func (x *FulfillmentResult) GetScore() float32 {
+	if x != nil && x.Score != nil {
+		return *x.Score
 	}
-	return PairwiseChoice_PAIRWISE_CHOICE_UNSPECIFIED
+	return 0
 }
 
-func (x *PairwiseSummarizationQualityResult) GetExplanation() string {
+func (x *FulfillmentResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *PairwiseSummarizationQualityResult) GetConfidence() float32 {
+func (x *FulfillmentResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for summarization helpfulness metric.
-type SummarizationHelpfulnessInput struct {
+// Input for summarization quality metric.
+type SummarizationQualityInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for summarization helpfulness score metric.
-	MetricSpec *SummarizationHelpfulnessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Summarization helpfulness instance.
-	Instance *SummarizationHelpfulnessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for summarization quality score metric.
+	MetricSpec *SummarizationQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Summarization quality instance.
+	Instance *SummarizationQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *SummarizationHelpfulnessInput) Reset() {
-	*x = SummarizationHelpfulnessInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[46]
+func (x *SummarizationQualityInput) Reset() {
+	*x = SummarizationQualityInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[45]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationHelpfulnessInput) String() string {
+func (x *SummarizationQualityInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationHelpfulnessInput) ProtoMessage() {}
+func (*SummarizationQualityInput) ProtoMessage() {}
 
-func (x *SummarizationHelpfulnessInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[46]
+func (x *SummarizationQualityInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[45]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3810,27 +3922,27 @@ func (x *SummarizationHelpfulnessInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationHelpfulnessInput.ProtoReflect.Descriptor instead.
-func (*SummarizationHelpfulnessInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{46}
+// Deprecated: Use SummarizationQualityInput.ProtoReflect.Descriptor instead.
+func (*SummarizationQualityInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{45}
 }
 
-func (x *SummarizationHelpfulnessInput) GetMetricSpec() *SummarizationHelpfulnessSpec {
+func (x *SummarizationQualityInput) GetMetricSpec() *SummarizationQualitySpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *SummarizationHelpfulnessInput) GetInstance() *SummarizationHelpfulnessInstance {
+func (x *SummarizationQualityInput) GetInstance() *SummarizationQualityInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for summarization helpfulness instance.
-type SummarizationHelpfulnessInstance struct {
+// Spec for summarization quality instance.
+type SummarizationQualityInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -3841,25 +3953,25 @@ type SummarizationHelpfulnessInstance struct {
 	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
 	// Required. Text to be summarized.
 	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
-	// Optional. Summarization prompt for LLM.
+	// Required. Summarization prompt for LLM.
 	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *SummarizationHelpfulnessInstance) Reset() {
-	*x = SummarizationHelpfulnessInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[47]
+func (x *SummarizationQualityInstance) Reset() {
+	*x = SummarizationQualityInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[46]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationHelpfulnessInstance) String() string {
+func (x *SummarizationQualityInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationHelpfulnessInstance) ProtoMessage() {}
+func (*SummarizationQualityInstance) ProtoMessage() {}
 
-func (x *SummarizationHelpfulnessInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[47]
+func (x *SummarizationQualityInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[46]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3870,67 +3982,67 @@ func (x *SummarizationHelpfulnessInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationHelpfulnessInstance.ProtoReflect.Descriptor instead.
-func (*SummarizationHelpfulnessInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{47}
+// Deprecated: Use SummarizationQualityInstance.ProtoReflect.Descriptor instead.
+func (*SummarizationQualityInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{46}
 }
 
-func (x *SummarizationHelpfulnessInstance) GetPrediction() string {
+func (x *SummarizationQualityInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *SummarizationHelpfulnessInstance) GetReference() string {
+func (x *SummarizationQualityInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-func (x *SummarizationHelpfulnessInstance) GetContext() string {
+func (x *SummarizationQualityInstance) GetContext() string {
 	if x != nil && x.Context != nil {
 		return *x.Context
 	}
 	return ""
 }
 
-func (x *SummarizationHelpfulnessInstance) GetInstruction() string {
+func (x *SummarizationQualityInstance) GetInstruction() string {
 	if x != nil && x.Instruction != nil {
 		return *x.Instruction
 	}
 	return ""
 }
 
-// Spec for summarization helpfulness score metric.
-type SummarizationHelpfulnessSpec struct {
+// Spec for summarization quality score metric.
+type SummarizationQualitySpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Optional. Whether to use instance.reference to compute summarization
-	// helpfulness.
+	// quality.
 	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
 	// Optional. Which version to use for evaluation.
 	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *SummarizationHelpfulnessSpec) Reset() {
-	*x = SummarizationHelpfulnessSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[48]
+func (x *SummarizationQualitySpec) Reset() {
+	*x = SummarizationQualitySpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[47]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationHelpfulnessSpec) String() string {
+func (x *SummarizationQualitySpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationHelpfulnessSpec) ProtoMessage() {}
+func (*SummarizationQualitySpec) ProtoMessage() {}
 
-func (x *SummarizationHelpfulnessSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[48]
+func (x *SummarizationQualitySpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[47]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3941,54 +4053,54 @@ func (x *SummarizationHelpfulnessSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationHelpfulnessSpec.ProtoReflect.Descriptor instead.
-func (*SummarizationHelpfulnessSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{48}
+// Deprecated: Use SummarizationQualitySpec.ProtoReflect.Descriptor instead.
+func (*SummarizationQualitySpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{47}
 }
 
-func (x *SummarizationHelpfulnessSpec) GetUseReference() bool {
+func (x *SummarizationQualitySpec) GetUseReference() bool {
 	if x != nil {
 		return x.UseReference
 	}
 	return false
 }
 
-func (x *SummarizationHelpfulnessSpec) GetVersion() int32 {
+func (x *SummarizationQualitySpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for summarization helpfulness result.
-type SummarizationHelpfulnessResult struct {
+// Spec for summarization quality result.
+type SummarizationQualityResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Summarization Helpfulness score.
+	// Output only. Summarization Quality score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for summarization helpfulness score.
+	// Output only. Explanation for summarization quality score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for summarization helpfulness score.
+	// Output only. Confidence for summarization quality score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *SummarizationHelpfulnessResult) Reset() {
-	*x = SummarizationHelpfulnessResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[49]
+func (x *SummarizationQualityResult) Reset() {
+	*x = SummarizationQualityResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[48]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationHelpfulnessResult) String() string {
+func (x *SummarizationQualityResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationHelpfulnessResult) ProtoMessage() {}
+func (*SummarizationQualityResult) ProtoMessage() {}
 
-func (x *SummarizationHelpfulnessResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[49]
+func (x *SummarizationQualityResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[48]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -3999,59 +4111,59 @@ func (x *SummarizationHelpfulnessResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationHelpfulnessResult.ProtoReflect.Descriptor instead.
-func (*SummarizationHelpfulnessResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{49}
+// Deprecated: Use SummarizationQualityResult.ProtoReflect.Descriptor instead.
+func (*SummarizationQualityResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{48}
 }
 
-func (x *SummarizationHelpfulnessResult) GetScore() float32 {
+func (x *SummarizationQualityResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-func (x *SummarizationHelpfulnessResult) GetExplanation() string {
+func (x *SummarizationQualityResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *SummarizationHelpfulnessResult) GetConfidence() float32 {
+func (x *SummarizationQualityResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for summarization verbosity metric.
-type SummarizationVerbosityInput struct {
+// Input for pairwise summarization quality metric.
+type PairwiseSummarizationQualityInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for summarization verbosity score metric.
-	MetricSpec *SummarizationVerbositySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Summarization verbosity instance.
-	Instance *SummarizationVerbosityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for pairwise summarization quality score metric.
+	MetricSpec *PairwiseSummarizationQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Pairwise summarization quality instance.
+	Instance *PairwiseSummarizationQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *SummarizationVerbosityInput) Reset() {
-	*x = SummarizationVerbosityInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[50]
+func (x *PairwiseSummarizationQualityInput) Reset() {
+	*x = PairwiseSummarizationQualityInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[49]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationVerbosityInput) String() string {
+func (x *PairwiseSummarizationQualityInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationVerbosityInput) ProtoMessage() {}
+func (*PairwiseSummarizationQualityInput) ProtoMessage() {}
 
-func (x *SummarizationVerbosityInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[50]
+func (x *PairwiseSummarizationQualityInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[49]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4062,56 +4174,58 @@ func (x *SummarizationVerbosityInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationVerbosityInput.ProtoReflect.Descriptor instead.
-func (*SummarizationVerbosityInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{50}
+// Deprecated: Use PairwiseSummarizationQualityInput.ProtoReflect.Descriptor instead.
+func (*PairwiseSummarizationQualityInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{49}
 }
 
-func (x *SummarizationVerbosityInput) GetMetricSpec() *SummarizationVerbositySpec {
+func (x *PairwiseSummarizationQualityInput) GetMetricSpec() *PairwiseSummarizationQualitySpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *SummarizationVerbosityInput) GetInstance() *SummarizationVerbosityInstance {
+func (x *PairwiseSummarizationQualityInput) GetInstance() *PairwiseSummarizationQualityInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for summarization verbosity instance.
-type SummarizationVerbosityInstance struct {
+// Spec for pairwise summarization quality instance.
+type PairwiseSummarizationQualityInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Output of the evaluated model.
+	// Required. Output of the candidate model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Required. Output of the baseline model.
+	BaselinePrediction *string `protobuf:"bytes,2,opt,name=baseline_prediction,json=baselinePrediction,proto3,oneof" json:"baseline_prediction,omitempty"`
 	// Optional. Ground truth used to compare against the prediction.
-	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+	Reference *string `protobuf:"bytes,3,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
 	// Required. Text to be summarized.
-	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
-	// Optional. Summarization prompt for LLM.
-	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
+	Context *string `protobuf:"bytes,4,opt,name=context,proto3,oneof" json:"context,omitempty"`
+	// Required. Summarization prompt for LLM.
+	Instruction *string `protobuf:"bytes,5,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *SummarizationVerbosityInstance) Reset() {
-	*x = SummarizationVerbosityInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[51]
+func (x *PairwiseSummarizationQualityInstance) Reset() {
+	*x = PairwiseSummarizationQualityInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[50]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationVerbosityInstance) String() string {
+func (x *PairwiseSummarizationQualityInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationVerbosityInstance) ProtoMessage() {}
+func (*PairwiseSummarizationQualityInstance) ProtoMessage() {}
 
-func (x *SummarizationVerbosityInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[51]
+func (x *PairwiseSummarizationQualityInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[50]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4122,67 +4236,74 @@ func (x *SummarizationVerbosityInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationVerbosityInstance.ProtoReflect.Descriptor instead.
-func (*SummarizationVerbosityInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{51}
+// Deprecated: Use PairwiseSummarizationQualityInstance.ProtoReflect.Descriptor instead.
+func (*PairwiseSummarizationQualityInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{50}
 }
 
-func (x *SummarizationVerbosityInstance) GetPrediction() string {
+func (x *PairwiseSummarizationQualityInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *SummarizationVerbosityInstance) GetReference() string {
+func (x *PairwiseSummarizationQualityInstance) GetBaselinePrediction() string {
+	if x != nil && x.BaselinePrediction != nil {
+		return *x.BaselinePrediction
+	}
+	return ""
+}
+
+func (x *PairwiseSummarizationQualityInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-func (x *SummarizationVerbosityInstance) GetContext() string {
+func (x *PairwiseSummarizationQualityInstance) GetContext() string {
 	if x != nil && x.Context != nil {
 		return *x.Context
 	}
 	return ""
 }
 
-func (x *SummarizationVerbosityInstance) GetInstruction() string {
+func (x *PairwiseSummarizationQualityInstance) GetInstruction() string {
 	if x != nil && x.Instruction != nil {
 		return *x.Instruction
 	}
 	return ""
 }
 
-// Spec for summarization verbosity score metric.
-type SummarizationVerbositySpec struct {
+// Spec for pairwise summarization quality score metric.
+type PairwiseSummarizationQualitySpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Optional. Whether to use instance.reference to compute summarization
-	// verbosity.
+	// Optional. Whether to use instance.reference to compute pairwise
+	// summarization quality.
 	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
 	// Optional. Which version to use for evaluation.
 	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *SummarizationVerbositySpec) Reset() {
-	*x = SummarizationVerbositySpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[52]
+func (x *PairwiseSummarizationQualitySpec) Reset() {
+	*x = PairwiseSummarizationQualitySpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[51]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationVerbositySpec) String() string {
+func (x *PairwiseSummarizationQualitySpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationVerbositySpec) ProtoMessage() {}
+func (*PairwiseSummarizationQualitySpec) ProtoMessage() {}
 
-func (x *SummarizationVerbositySpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[52]
+func (x *PairwiseSummarizationQualitySpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[51]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4193,54 +4314,54 @@ func (x *SummarizationVerbositySpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationVerbositySpec.ProtoReflect.Descriptor instead.
-func (*SummarizationVerbositySpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{52}
+// Deprecated: Use PairwiseSummarizationQualitySpec.ProtoReflect.Descriptor instead.
+func (*PairwiseSummarizationQualitySpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{51}
 }
 
-func (x *SummarizationVerbositySpec) GetUseReference() bool {
+func (x *PairwiseSummarizationQualitySpec) GetUseReference() bool {
 	if x != nil {
 		return x.UseReference
 	}
 	return false
 }
 
-func (x *SummarizationVerbositySpec) GetVersion() int32 {
+func (x *PairwiseSummarizationQualitySpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for summarization verbosity result.
-type SummarizationVerbosityResult struct {
-	state         protoimpl.MessageState
+// Spec for pairwise summarization quality result.
+type PairwiseSummarizationQualityResult struct {
+	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Summarization Verbosity score.
-	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for summarization verbosity score.
+	// Output only. Pairwise summarization prediction choice.
+	PairwiseChoice PairwiseChoice `protobuf:"varint,1,opt,name=pairwise_choice,json=pairwiseChoice,proto3,enum=google.cloud.aiplatform.v1beta1.PairwiseChoice" json:"pairwise_choice,omitempty"`
+	// Output only. Explanation for summarization quality score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for summarization verbosity score.
+	// Output only. Confidence for summarization quality score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *SummarizationVerbosityResult) Reset() {
-	*x = SummarizationVerbosityResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[53]
+func (x *PairwiseSummarizationQualityResult) Reset() {
+	*x = PairwiseSummarizationQualityResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[52]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *SummarizationVerbosityResult) String() string {
+func (x *PairwiseSummarizationQualityResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*SummarizationVerbosityResult) ProtoMessage() {}
+func (*PairwiseSummarizationQualityResult) ProtoMessage() {}
 
-func (x *SummarizationVerbosityResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[53]
+func (x *PairwiseSummarizationQualityResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[52]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4251,59 +4372,59 @@ func (x *SummarizationVerbosityResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use SummarizationVerbosityResult.ProtoReflect.Descriptor instead.
-func (*SummarizationVerbosityResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{53}
+// Deprecated: Use PairwiseSummarizationQualityResult.ProtoReflect.Descriptor instead.
+func (*PairwiseSummarizationQualityResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{52}
 }
 
-func (x *SummarizationVerbosityResult) GetScore() float32 {
-	if x != nil && x.Score != nil {
-		return *x.Score
+func (x *PairwiseSummarizationQualityResult) GetPairwiseChoice() PairwiseChoice {
+	if x != nil {
+		return x.PairwiseChoice
 	}
-	return 0
+	return PairwiseChoice_PAIRWISE_CHOICE_UNSPECIFIED
 }
 
-func (x *SummarizationVerbosityResult) GetExplanation() string {
+func (x *PairwiseSummarizationQualityResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *SummarizationVerbosityResult) GetConfidence() float32 {
+func (x *PairwiseSummarizationQualityResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for question answering quality metric.
-type QuestionAnsweringQualityInput struct {
+// Input for summarization helpfulness metric.
+type SummarizationHelpfulnessInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for question answering quality score metric.
-	MetricSpec *QuestionAnsweringQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Question answering quality instance.
-	Instance *QuestionAnsweringQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for summarization helpfulness score metric.
+	MetricSpec *SummarizationHelpfulnessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Summarization helpfulness instance.
+	Instance *SummarizationHelpfulnessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *QuestionAnsweringQualityInput) Reset() {
-	*x = QuestionAnsweringQualityInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[54]
+func (x *SummarizationHelpfulnessInput) Reset() {
+	*x = SummarizationHelpfulnessInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[53]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringQualityInput) String() string {
+func (x *SummarizationHelpfulnessInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringQualityInput) ProtoMessage() {}
+func (*SummarizationHelpfulnessInput) ProtoMessage() {}
 
-func (x *QuestionAnsweringQualityInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[54]
+func (x *SummarizationHelpfulnessInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[53]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4314,27 +4435,27 @@ func (x *QuestionAnsweringQualityInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringQualityInput.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringQualityInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{54}
+// Deprecated: Use SummarizationHelpfulnessInput.ProtoReflect.Descriptor instead.
+func (*SummarizationHelpfulnessInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{53}
 }
 
-func (x *QuestionAnsweringQualityInput) GetMetricSpec() *QuestionAnsweringQualitySpec {
+func (x *SummarizationHelpfulnessInput) GetMetricSpec() *SummarizationHelpfulnessSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *QuestionAnsweringQualityInput) GetInstance() *QuestionAnsweringQualityInstance {
+func (x *SummarizationHelpfulnessInput) GetInstance() *SummarizationHelpfulnessInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for question answering quality instance.
-type QuestionAnsweringQualityInstance struct {
+// Spec for summarization helpfulness instance.
+type SummarizationHelpfulnessInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -4343,27 +4464,27 @@ type QuestionAnsweringQualityInstance struct {
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
 	// Optional. Ground truth used to compare against the prediction.
 	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
-	// Required. Text to answer the question.
+	// Required. Text to be summarized.
 	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
-	// Required. Question Answering prompt for LLM.
+	// Optional. Summarization prompt for LLM.
 	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *QuestionAnsweringQualityInstance) Reset() {
-	*x = QuestionAnsweringQualityInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[55]
+func (x *SummarizationHelpfulnessInstance) Reset() {
+	*x = SummarizationHelpfulnessInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[54]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringQualityInstance) String() string {
+func (x *SummarizationHelpfulnessInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringQualityInstance) ProtoMessage() {}
+func (*SummarizationHelpfulnessInstance) ProtoMessage() {}
 
-func (x *QuestionAnsweringQualityInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[55]
+func (x *SummarizationHelpfulnessInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[54]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4374,67 +4495,67 @@ func (x *QuestionAnsweringQualityInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringQualityInstance.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringQualityInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{55}
+// Deprecated: Use SummarizationHelpfulnessInstance.ProtoReflect.Descriptor instead.
+func (*SummarizationHelpfulnessInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{54}
 }
 
-func (x *QuestionAnsweringQualityInstance) GetPrediction() string {
+func (x *SummarizationHelpfulnessInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringQualityInstance) GetReference() string {
+func (x *SummarizationHelpfulnessInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringQualityInstance) GetContext() string {
+func (x *SummarizationHelpfulnessInstance) GetContext() string {
 	if x != nil && x.Context != nil {
 		return *x.Context
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringQualityInstance) GetInstruction() string {
+func (x *SummarizationHelpfulnessInstance) GetInstruction() string {
 	if x != nil && x.Instruction != nil {
 		return *x.Instruction
 	}
 	return ""
 }
 
-// Spec for question answering quality score metric.
-type QuestionAnsweringQualitySpec struct {
+// Spec for summarization helpfulness score metric.
+type SummarizationHelpfulnessSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Optional. Whether to use instance.reference to compute question answering
-	// quality.
+	// Optional. Whether to use instance.reference to compute summarization
+	// helpfulness.
 	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
 	// Optional. Which version to use for evaluation.
 	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *QuestionAnsweringQualitySpec) Reset() {
-	*x = QuestionAnsweringQualitySpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[56]
+func (x *SummarizationHelpfulnessSpec) Reset() {
+	*x = SummarizationHelpfulnessSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[55]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringQualitySpec) String() string {
+func (x *SummarizationHelpfulnessSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringQualitySpec) ProtoMessage() {}
+func (*SummarizationHelpfulnessSpec) ProtoMessage() {}
 
-func (x *QuestionAnsweringQualitySpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[56]
+func (x *SummarizationHelpfulnessSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[55]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4445,54 +4566,54 @@ func (x *QuestionAnsweringQualitySpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringQualitySpec.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringQualitySpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{56}
+// Deprecated: Use SummarizationHelpfulnessSpec.ProtoReflect.Descriptor instead.
+func (*SummarizationHelpfulnessSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{55}
 }
 
-func (x *QuestionAnsweringQualitySpec) GetUseReference() bool {
+func (x *SummarizationHelpfulnessSpec) GetUseReference() bool {
 	if x != nil {
 		return x.UseReference
 	}
 	return false
 }
 
-func (x *QuestionAnsweringQualitySpec) GetVersion() int32 {
+func (x *SummarizationHelpfulnessSpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for question answering quality result.
-type QuestionAnsweringQualityResult struct {
+// Spec for summarization helpfulness result.
+type SummarizationHelpfulnessResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Question Answering Quality score.
+	// Output only. Summarization Helpfulness score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for question answering quality score.
+	// Output only. Explanation for summarization helpfulness score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for question answering quality score.
+	// Output only. Confidence for summarization helpfulness score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *QuestionAnsweringQualityResult) Reset() {
-	*x = QuestionAnsweringQualityResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[57]
+func (x *SummarizationHelpfulnessResult) Reset() {
+	*x = SummarizationHelpfulnessResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[56]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringQualityResult) String() string {
+func (x *SummarizationHelpfulnessResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringQualityResult) ProtoMessage() {}
+func (*SummarizationHelpfulnessResult) ProtoMessage() {}
 
-func (x *QuestionAnsweringQualityResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[57]
+func (x *SummarizationHelpfulnessResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[56]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4503,59 +4624,59 @@ func (x *QuestionAnsweringQualityResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringQualityResult.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringQualityResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{57}
+// Deprecated: Use SummarizationHelpfulnessResult.ProtoReflect.Descriptor instead.
+func (*SummarizationHelpfulnessResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{56}
 }
 
-func (x *QuestionAnsweringQualityResult) GetScore() float32 {
+func (x *SummarizationHelpfulnessResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-func (x *QuestionAnsweringQualityResult) GetExplanation() string {
+func (x *SummarizationHelpfulnessResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringQualityResult) GetConfidence() float32 {
+func (x *SummarizationHelpfulnessResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for pairwise question answering quality metric.
-type PairwiseQuestionAnsweringQualityInput struct {
+// Input for summarization verbosity metric.
+type SummarizationVerbosityInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for pairwise question answering quality score metric.
-	MetricSpec *PairwiseQuestionAnsweringQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Pairwise question answering quality instance.
-	Instance *PairwiseQuestionAnsweringQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for summarization verbosity score metric.
+	MetricSpec *SummarizationVerbositySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Summarization verbosity instance.
+	Instance *SummarizationVerbosityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *PairwiseQuestionAnsweringQualityInput) Reset() {
-	*x = PairwiseQuestionAnsweringQualityInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[58]
+func (x *SummarizationVerbosityInput) Reset() {
+	*x = SummarizationVerbosityInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[57]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseQuestionAnsweringQualityInput) String() string {
+func (x *SummarizationVerbosityInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseQuestionAnsweringQualityInput) ProtoMessage() {}
+func (*SummarizationVerbosityInput) ProtoMessage() {}
 
-func (x *PairwiseQuestionAnsweringQualityInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[58]
+func (x *SummarizationVerbosityInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[57]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4566,58 +4687,56 @@ func (x *PairwiseQuestionAnsweringQualityInput) ProtoReflect() protoreflect.Mess
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseQuestionAnsweringQualityInput.ProtoReflect.Descriptor instead.
-func (*PairwiseQuestionAnsweringQualityInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{58}
+// Deprecated: Use SummarizationVerbosityInput.ProtoReflect.Descriptor instead.
+func (*SummarizationVerbosityInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{57}
 }
 
-func (x *PairwiseQuestionAnsweringQualityInput) GetMetricSpec() *PairwiseQuestionAnsweringQualitySpec {
+func (x *SummarizationVerbosityInput) GetMetricSpec() *SummarizationVerbositySpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *PairwiseQuestionAnsweringQualityInput) GetInstance() *PairwiseQuestionAnsweringQualityInstance {
+func (x *SummarizationVerbosityInput) GetInstance() *SummarizationVerbosityInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for pairwise question answering quality instance.
-type PairwiseQuestionAnsweringQualityInstance struct {
+// Spec for summarization verbosity instance.
+type SummarizationVerbosityInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Output of the candidate model.
+	// Required. Output of the evaluated model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Required. Output of the baseline model.
-	BaselinePrediction *string `protobuf:"bytes,2,opt,name=baseline_prediction,json=baselinePrediction,proto3,oneof" json:"baseline_prediction,omitempty"`
 	// Optional. Ground truth used to compare against the prediction.
-	Reference *string `protobuf:"bytes,3,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
-	// Required. Text to answer the question.
-	Context *string `protobuf:"bytes,4,opt,name=context,proto3,oneof" json:"context,omitempty"`
-	// Required. Question Answering prompt for LLM.
-	Instruction *string `protobuf:"bytes,5,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
+	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+	// Required. Text to be summarized.
+	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
+	// Optional. Summarization prompt for LLM.
+	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *PairwiseQuestionAnsweringQualityInstance) Reset() {
-	*x = PairwiseQuestionAnsweringQualityInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[59]
+func (x *SummarizationVerbosityInstance) Reset() {
+	*x = SummarizationVerbosityInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[58]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseQuestionAnsweringQualityInstance) String() string {
+func (x *SummarizationVerbosityInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseQuestionAnsweringQualityInstance) ProtoMessage() {}
+func (*SummarizationVerbosityInstance) ProtoMessage() {}
 
-func (x *PairwiseQuestionAnsweringQualityInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[59]
+func (x *SummarizationVerbosityInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[58]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4628,74 +4747,67 @@ func (x *PairwiseQuestionAnsweringQualityInstance) ProtoReflect() protoreflect.M
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseQuestionAnsweringQualityInstance.ProtoReflect.Descriptor instead.
-func (*PairwiseQuestionAnsweringQualityInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{59}
-}
-
-func (x *PairwiseQuestionAnsweringQualityInstance) GetPrediction() string {
-	if x != nil && x.Prediction != nil {
-		return *x.Prediction
-	}
-	return ""
+// Deprecated: Use SummarizationVerbosityInstance.ProtoReflect.Descriptor instead.
+func (*SummarizationVerbosityInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{58}
 }
 
-func (x *PairwiseQuestionAnsweringQualityInstance) GetBaselinePrediction() string {
-	if x != nil && x.BaselinePrediction != nil {
-		return *x.BaselinePrediction
+func (x *SummarizationVerbosityInstance) GetPrediction() string {
+	if x != nil && x.Prediction != nil {
+		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *PairwiseQuestionAnsweringQualityInstance) GetReference() string {
+func (x *SummarizationVerbosityInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-func (x *PairwiseQuestionAnsweringQualityInstance) GetContext() string {
+func (x *SummarizationVerbosityInstance) GetContext() string {
 	if x != nil && x.Context != nil {
 		return *x.Context
 	}
 	return ""
 }
 
-func (x *PairwiseQuestionAnsweringQualityInstance) GetInstruction() string {
+func (x *SummarizationVerbosityInstance) GetInstruction() string {
 	if x != nil && x.Instruction != nil {
 		return *x.Instruction
 	}
 	return ""
 }
 
-// Spec for pairwise question answering quality score metric.
-type PairwiseQuestionAnsweringQualitySpec struct {
+// Spec for summarization verbosity score metric.
+type SummarizationVerbositySpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Optional. Whether to use instance.reference to compute question answering
-	// quality.
+	// Optional. Whether to use instance.reference to compute summarization
+	// verbosity.
 	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
 	// Optional. Which version to use for evaluation.
 	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *PairwiseQuestionAnsweringQualitySpec) Reset() {
-	*x = PairwiseQuestionAnsweringQualitySpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[60]
+func (x *SummarizationVerbositySpec) Reset() {
+	*x = SummarizationVerbositySpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[59]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseQuestionAnsweringQualitySpec) String() string {
+func (x *SummarizationVerbositySpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseQuestionAnsweringQualitySpec) ProtoMessage() {}
+func (*SummarizationVerbositySpec) ProtoMessage() {}
 
-func (x *PairwiseQuestionAnsweringQualitySpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[60]
+func (x *SummarizationVerbositySpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[59]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4706,54 +4818,54 @@ func (x *PairwiseQuestionAnsweringQualitySpec) ProtoReflect() protoreflect.Messa
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseQuestionAnsweringQualitySpec.ProtoReflect.Descriptor instead.
-func (*PairwiseQuestionAnsweringQualitySpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{60}
+// Deprecated: Use SummarizationVerbositySpec.ProtoReflect.Descriptor instead.
+func (*SummarizationVerbositySpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{59}
 }
 
-func (x *PairwiseQuestionAnsweringQualitySpec) GetUseReference() bool {
+func (x *SummarizationVerbositySpec) GetUseReference() bool {
 	if x != nil {
 		return x.UseReference
 	}
 	return false
 }
 
-func (x *PairwiseQuestionAnsweringQualitySpec) GetVersion() int32 {
+func (x *SummarizationVerbositySpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for pairwise question answering quality result.
-type PairwiseQuestionAnsweringQualityResult struct {
+// Spec for summarization verbosity result.
+type SummarizationVerbosityResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Pairwise question answering prediction choice.
-	PairwiseChoice PairwiseChoice `protobuf:"varint,1,opt,name=pairwise_choice,json=pairwiseChoice,proto3,enum=google.cloud.aiplatform.v1beta1.PairwiseChoice" json:"pairwise_choice,omitempty"`
-	// Output only. Explanation for question answering quality score.
+	// Output only. Summarization Verbosity score.
+	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+	// Output only. Explanation for summarization verbosity score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for question answering quality score.
+	// Output only. Confidence for summarization verbosity score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *PairwiseQuestionAnsweringQualityResult) Reset() {
-	*x = PairwiseQuestionAnsweringQualityResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[61]
+func (x *SummarizationVerbosityResult) Reset() {
+	*x = SummarizationVerbosityResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[60]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseQuestionAnsweringQualityResult) String() string {
+func (x *SummarizationVerbosityResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseQuestionAnsweringQualityResult) ProtoMessage() {}
+func (*SummarizationVerbosityResult) ProtoMessage() {}
 
-func (x *PairwiseQuestionAnsweringQualityResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[61]
+func (x *SummarizationVerbosityResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[60]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4764,59 +4876,59 @@ func (x *PairwiseQuestionAnsweringQualityResult) ProtoReflect() protoreflect.Mes
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseQuestionAnsweringQualityResult.ProtoReflect.Descriptor instead.
-func (*PairwiseQuestionAnsweringQualityResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{61}
+// Deprecated: Use SummarizationVerbosityResult.ProtoReflect.Descriptor instead.
+func (*SummarizationVerbosityResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{60}
 }
 
-func (x *PairwiseQuestionAnsweringQualityResult) GetPairwiseChoice() PairwiseChoice {
-	if x != nil {
-		return x.PairwiseChoice
+func (x *SummarizationVerbosityResult) GetScore() float32 {
+	if x != nil && x.Score != nil {
+		return *x.Score
 	}
-	return PairwiseChoice_PAIRWISE_CHOICE_UNSPECIFIED
+	return 0
 }
 
-func (x *PairwiseQuestionAnsweringQualityResult) GetExplanation() string {
+func (x *SummarizationVerbosityResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *PairwiseQuestionAnsweringQualityResult) GetConfidence() float32 {
+func (x *SummarizationVerbosityResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for question answering relevance metric.
-type QuestionAnsweringRelevanceInput struct {
+// Input for question answering quality metric.
+type QuestionAnsweringQualityInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for question answering relevance score metric.
-	MetricSpec *QuestionAnsweringRelevanceSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Question answering relevance instance.
-	Instance *QuestionAnsweringRelevanceInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for question answering quality score metric.
+	MetricSpec *QuestionAnsweringQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Question answering quality instance.
+	Instance *QuestionAnsweringQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *QuestionAnsweringRelevanceInput) Reset() {
-	*x = QuestionAnsweringRelevanceInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[62]
+func (x *QuestionAnsweringQualityInput) Reset() {
+	*x = QuestionAnsweringQualityInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[61]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringRelevanceInput) String() string {
+func (x *QuestionAnsweringQualityInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringRelevanceInput) ProtoMessage() {}
+func (*QuestionAnsweringQualityInput) ProtoMessage() {}
 
-func (x *QuestionAnsweringRelevanceInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[62]
+func (x *QuestionAnsweringQualityInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[61]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4827,27 +4939,27 @@ func (x *QuestionAnsweringRelevanceInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringRelevanceInput.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringRelevanceInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{62}
+// Deprecated: Use QuestionAnsweringQualityInput.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringQualityInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{61}
 }
 
-func (x *QuestionAnsweringRelevanceInput) GetMetricSpec() *QuestionAnsweringRelevanceSpec {
+func (x *QuestionAnsweringQualityInput) GetMetricSpec() *QuestionAnsweringQualitySpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *QuestionAnsweringRelevanceInput) GetInstance() *QuestionAnsweringRelevanceInstance {
+func (x *QuestionAnsweringQualityInput) GetInstance() *QuestionAnsweringQualityInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for question answering relevance instance.
-type QuestionAnsweringRelevanceInstance struct {
+// Spec for question answering quality instance.
+type QuestionAnsweringQualityInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -4856,27 +4968,27 @@ type QuestionAnsweringRelevanceInstance struct {
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
 	// Optional. Ground truth used to compare against the prediction.
 	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
-	// Optional. Text provided as context to answer the question.
+	// Required. Text to answer the question.
 	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
-	// Required. The question asked and other instruction in the inference prompt.
+	// Required. Question Answering prompt for LLM.
 	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *QuestionAnsweringRelevanceInstance) Reset() {
-	*x = QuestionAnsweringRelevanceInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[63]
+func (x *QuestionAnsweringQualityInstance) Reset() {
+	*x = QuestionAnsweringQualityInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[62]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringRelevanceInstance) String() string {
+func (x *QuestionAnsweringQualityInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringRelevanceInstance) ProtoMessage() {}
+func (*QuestionAnsweringQualityInstance) ProtoMessage() {}
 
-func (x *QuestionAnsweringRelevanceInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[63]
+func (x *QuestionAnsweringQualityInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[62]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4887,67 +4999,67 @@ func (x *QuestionAnsweringRelevanceInstance) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringRelevanceInstance.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringRelevanceInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{63}
+// Deprecated: Use QuestionAnsweringQualityInstance.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringQualityInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{62}
 }
 
-func (x *QuestionAnsweringRelevanceInstance) GetPrediction() string {
+func (x *QuestionAnsweringQualityInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringRelevanceInstance) GetReference() string {
+func (x *QuestionAnsweringQualityInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringRelevanceInstance) GetContext() string {
+func (x *QuestionAnsweringQualityInstance) GetContext() string {
 	if x != nil && x.Context != nil {
 		return *x.Context
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringRelevanceInstance) GetInstruction() string {
+func (x *QuestionAnsweringQualityInstance) GetInstruction() string {
 	if x != nil && x.Instruction != nil {
 		return *x.Instruction
 	}
 	return ""
 }
 
-// Spec for question answering relevance metric.
-type QuestionAnsweringRelevanceSpec struct {
+// Spec for question answering quality score metric.
+type QuestionAnsweringQualitySpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Optional. Whether to use instance.reference to compute question answering
-	// relevance.
+	// quality.
 	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
 	// Optional. Which version to use for evaluation.
 	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *QuestionAnsweringRelevanceSpec) Reset() {
-	*x = QuestionAnsweringRelevanceSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[64]
+func (x *QuestionAnsweringQualitySpec) Reset() {
+	*x = QuestionAnsweringQualitySpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[63]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringRelevanceSpec) String() string {
+func (x *QuestionAnsweringQualitySpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringRelevanceSpec) ProtoMessage() {}
+func (*QuestionAnsweringQualitySpec) ProtoMessage() {}
 
-func (x *QuestionAnsweringRelevanceSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[64]
+func (x *QuestionAnsweringQualitySpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[63]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -4958,54 +5070,54 @@ func (x *QuestionAnsweringRelevanceSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringRelevanceSpec.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringRelevanceSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{64}
+// Deprecated: Use QuestionAnsweringQualitySpec.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringQualitySpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{63}
 }
 
-func (x *QuestionAnsweringRelevanceSpec) GetUseReference() bool {
+func (x *QuestionAnsweringQualitySpec) GetUseReference() bool {
 	if x != nil {
 		return x.UseReference
 	}
 	return false
 }
 
-func (x *QuestionAnsweringRelevanceSpec) GetVersion() int32 {
+func (x *QuestionAnsweringQualitySpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for question answering relevance result.
-type QuestionAnsweringRelevanceResult struct {
+// Spec for question answering quality result.
+type QuestionAnsweringQualityResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Question Answering Relevance score.
+	// Output only. Question Answering Quality score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for question answering relevance score.
+	// Output only. Explanation for question answering quality score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for question answering relevance score.
+	// Output only. Confidence for question answering quality score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *QuestionAnsweringRelevanceResult) Reset() {
-	*x = QuestionAnsweringRelevanceResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[65]
+func (x *QuestionAnsweringQualityResult) Reset() {
+	*x = QuestionAnsweringQualityResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[64]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringRelevanceResult) String() string {
+func (x *QuestionAnsweringQualityResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringRelevanceResult) ProtoMessage() {}
+func (*QuestionAnsweringQualityResult) ProtoMessage() {}
 
-func (x *QuestionAnsweringRelevanceResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[65]
+func (x *QuestionAnsweringQualityResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[64]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5016,59 +5128,59 @@ func (x *QuestionAnsweringRelevanceResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringRelevanceResult.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringRelevanceResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{65}
+// Deprecated: Use QuestionAnsweringQualityResult.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringQualityResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{64}
 }
 
-func (x *QuestionAnsweringRelevanceResult) GetScore() float32 {
+func (x *QuestionAnsweringQualityResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-func (x *QuestionAnsweringRelevanceResult) GetExplanation() string {
+func (x *QuestionAnsweringQualityResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringRelevanceResult) GetConfidence() float32 {
+func (x *QuestionAnsweringQualityResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for question answering helpfulness metric.
-type QuestionAnsweringHelpfulnessInput struct {
+// Input for pairwise question answering quality metric.
+type PairwiseQuestionAnsweringQualityInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for question answering helpfulness score metric.
-	MetricSpec *QuestionAnsweringHelpfulnessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Question answering helpfulness instance.
-	Instance *QuestionAnsweringHelpfulnessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for pairwise question answering quality score metric.
+	MetricSpec *PairwiseQuestionAnsweringQualitySpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Pairwise question answering quality instance.
+	Instance *PairwiseQuestionAnsweringQualityInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *QuestionAnsweringHelpfulnessInput) Reset() {
-	*x = QuestionAnsweringHelpfulnessInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[66]
+func (x *PairwiseQuestionAnsweringQualityInput) Reset() {
+	*x = PairwiseQuestionAnsweringQualityInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[65]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringHelpfulnessInput) String() string {
+func (x *PairwiseQuestionAnsweringQualityInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringHelpfulnessInput) ProtoMessage() {}
+func (*PairwiseQuestionAnsweringQualityInput) ProtoMessage() {}
 
-func (x *QuestionAnsweringHelpfulnessInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[66]
+func (x *PairwiseQuestionAnsweringQualityInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[65]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5079,56 +5191,58 @@ func (x *QuestionAnsweringHelpfulnessInput) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringHelpfulnessInput.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringHelpfulnessInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{66}
+// Deprecated: Use PairwiseQuestionAnsweringQualityInput.ProtoReflect.Descriptor instead.
+func (*PairwiseQuestionAnsweringQualityInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{65}
 }
 
-func (x *QuestionAnsweringHelpfulnessInput) GetMetricSpec() *QuestionAnsweringHelpfulnessSpec {
+func (x *PairwiseQuestionAnsweringQualityInput) GetMetricSpec() *PairwiseQuestionAnsweringQualitySpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *QuestionAnsweringHelpfulnessInput) GetInstance() *QuestionAnsweringHelpfulnessInstance {
+func (x *PairwiseQuestionAnsweringQualityInput) GetInstance() *PairwiseQuestionAnsweringQualityInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for question answering helpfulness instance.
-type QuestionAnsweringHelpfulnessInstance struct {
+// Spec for pairwise question answering quality instance.
+type PairwiseQuestionAnsweringQualityInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Output of the evaluated model.
+	// Required. Output of the candidate model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Required. Output of the baseline model.
+	BaselinePrediction *string `protobuf:"bytes,2,opt,name=baseline_prediction,json=baselinePrediction,proto3,oneof" json:"baseline_prediction,omitempty"`
 	// Optional. Ground truth used to compare against the prediction.
-	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
-	// Optional. Text provided as context to answer the question.
-	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
-	// Required. The question asked and other instruction in the inference prompt.
-	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
+	Reference *string `protobuf:"bytes,3,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+	// Required. Text to answer the question.
+	Context *string `protobuf:"bytes,4,opt,name=context,proto3,oneof" json:"context,omitempty"`
+	// Required. Question Answering prompt for LLM.
+	Instruction *string `protobuf:"bytes,5,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *QuestionAnsweringHelpfulnessInstance) Reset() {
-	*x = QuestionAnsweringHelpfulnessInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[67]
+func (x *PairwiseQuestionAnsweringQualityInstance) Reset() {
+	*x = PairwiseQuestionAnsweringQualityInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[66]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringHelpfulnessInstance) String() string {
+func (x *PairwiseQuestionAnsweringQualityInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringHelpfulnessInstance) ProtoMessage() {}
+func (*PairwiseQuestionAnsweringQualityInstance) ProtoMessage() {}
 
-func (x *QuestionAnsweringHelpfulnessInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[67]
+func (x *PairwiseQuestionAnsweringQualityInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[66]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5139,67 +5253,74 @@ func (x *QuestionAnsweringHelpfulnessInstance) ProtoReflect() protoreflect.Messa
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringHelpfulnessInstance.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringHelpfulnessInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{67}
+// Deprecated: Use PairwiseQuestionAnsweringQualityInstance.ProtoReflect.Descriptor instead.
+func (*PairwiseQuestionAnsweringQualityInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{66}
 }
 
-func (x *QuestionAnsweringHelpfulnessInstance) GetPrediction() string {
+func (x *PairwiseQuestionAnsweringQualityInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringHelpfulnessInstance) GetReference() string {
+func (x *PairwiseQuestionAnsweringQualityInstance) GetBaselinePrediction() string {
+	if x != nil && x.BaselinePrediction != nil {
+		return *x.BaselinePrediction
+	}
+	return ""
+}
+
+func (x *PairwiseQuestionAnsweringQualityInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringHelpfulnessInstance) GetContext() string {
+func (x *PairwiseQuestionAnsweringQualityInstance) GetContext() string {
 	if x != nil && x.Context != nil {
 		return *x.Context
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringHelpfulnessInstance) GetInstruction() string {
+func (x *PairwiseQuestionAnsweringQualityInstance) GetInstruction() string {
 	if x != nil && x.Instruction != nil {
 		return *x.Instruction
 	}
 	return ""
 }
 
-// Spec for question answering helpfulness metric.
-type QuestionAnsweringHelpfulnessSpec struct {
+// Spec for pairwise question answering quality score metric.
+type PairwiseQuestionAnsweringQualitySpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Optional. Whether to use instance.reference to compute question answering
-	// helpfulness.
+	// quality.
 	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
 	// Optional. Which version to use for evaluation.
 	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *QuestionAnsweringHelpfulnessSpec) Reset() {
-	*x = QuestionAnsweringHelpfulnessSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[68]
+func (x *PairwiseQuestionAnsweringQualitySpec) Reset() {
+	*x = PairwiseQuestionAnsweringQualitySpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[67]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringHelpfulnessSpec) String() string {
+func (x *PairwiseQuestionAnsweringQualitySpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringHelpfulnessSpec) ProtoMessage() {}
+func (*PairwiseQuestionAnsweringQualitySpec) ProtoMessage() {}
 
-func (x *QuestionAnsweringHelpfulnessSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[68]
+func (x *PairwiseQuestionAnsweringQualitySpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[67]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5210,54 +5331,54 @@ func (x *QuestionAnsweringHelpfulnessSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringHelpfulnessSpec.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringHelpfulnessSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{68}
+// Deprecated: Use PairwiseQuestionAnsweringQualitySpec.ProtoReflect.Descriptor instead.
+func (*PairwiseQuestionAnsweringQualitySpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{67}
 }
 
-func (x *QuestionAnsweringHelpfulnessSpec) GetUseReference() bool {
+func (x *PairwiseQuestionAnsweringQualitySpec) GetUseReference() bool {
 	if x != nil {
 		return x.UseReference
 	}
 	return false
 }
 
-func (x *QuestionAnsweringHelpfulnessSpec) GetVersion() int32 {
+func (x *PairwiseQuestionAnsweringQualitySpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for question answering helpfulness result.
-type QuestionAnsweringHelpfulnessResult struct {
+// Spec for pairwise question answering quality result.
+type PairwiseQuestionAnsweringQualityResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Question Answering Helpfulness score.
-	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for question answering helpfulness score.
+	// Output only. Pairwise question answering prediction choice.
+	PairwiseChoice PairwiseChoice `protobuf:"varint,1,opt,name=pairwise_choice,json=pairwiseChoice,proto3,enum=google.cloud.aiplatform.v1beta1.PairwiseChoice" json:"pairwise_choice,omitempty"`
+	// Output only. Explanation for question answering quality score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for question answering helpfulness score.
+	// Output only. Confidence for question answering quality score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *QuestionAnsweringHelpfulnessResult) Reset() {
-	*x = QuestionAnsweringHelpfulnessResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[69]
+func (x *PairwiseQuestionAnsweringQualityResult) Reset() {
+	*x = PairwiseQuestionAnsweringQualityResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[68]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringHelpfulnessResult) String() string {
+func (x *PairwiseQuestionAnsweringQualityResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringHelpfulnessResult) ProtoMessage() {}
+func (*PairwiseQuestionAnsweringQualityResult) ProtoMessage() {}
 
-func (x *QuestionAnsweringHelpfulnessResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[69]
+func (x *PairwiseQuestionAnsweringQualityResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[68]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5268,59 +5389,59 @@ func (x *QuestionAnsweringHelpfulnessResult) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringHelpfulnessResult.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringHelpfulnessResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{69}
+// Deprecated: Use PairwiseQuestionAnsweringQualityResult.ProtoReflect.Descriptor instead.
+func (*PairwiseQuestionAnsweringQualityResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{68}
 }
 
-func (x *QuestionAnsweringHelpfulnessResult) GetScore() float32 {
-	if x != nil && x.Score != nil {
-		return *x.Score
+func (x *PairwiseQuestionAnsweringQualityResult) GetPairwiseChoice() PairwiseChoice {
+	if x != nil {
+		return x.PairwiseChoice
 	}
-	return 0
+	return PairwiseChoice_PAIRWISE_CHOICE_UNSPECIFIED
 }
 
-func (x *QuestionAnsweringHelpfulnessResult) GetExplanation() string {
+func (x *PairwiseQuestionAnsweringQualityResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringHelpfulnessResult) GetConfidence() float32 {
+func (x *PairwiseQuestionAnsweringQualityResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for question answering correctness metric.
-type QuestionAnsweringCorrectnessInput struct {
+// Input for question answering relevance metric.
+type QuestionAnsweringRelevanceInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for question answering correctness score metric.
-	MetricSpec *QuestionAnsweringCorrectnessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Question answering correctness instance.
-	Instance *QuestionAnsweringCorrectnessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for question answering relevance score metric.
+	MetricSpec *QuestionAnsweringRelevanceSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Question answering relevance instance.
+	Instance *QuestionAnsweringRelevanceInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *QuestionAnsweringCorrectnessInput) Reset() {
-	*x = QuestionAnsweringCorrectnessInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[70]
+func (x *QuestionAnsweringRelevanceInput) Reset() {
+	*x = QuestionAnsweringRelevanceInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[69]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringCorrectnessInput) String() string {
+func (x *QuestionAnsweringRelevanceInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringCorrectnessInput) ProtoMessage() {}
+func (*QuestionAnsweringRelevanceInput) ProtoMessage() {}
 
-func (x *QuestionAnsweringCorrectnessInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[70]
+func (x *QuestionAnsweringRelevanceInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[69]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5331,27 +5452,27 @@ func (x *QuestionAnsweringCorrectnessInput) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringCorrectnessInput.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringCorrectnessInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{70}
+// Deprecated: Use QuestionAnsweringRelevanceInput.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringRelevanceInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{69}
 }
 
-func (x *QuestionAnsweringCorrectnessInput) GetMetricSpec() *QuestionAnsweringCorrectnessSpec {
+func (x *QuestionAnsweringRelevanceInput) GetMetricSpec() *QuestionAnsweringRelevanceSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *QuestionAnsweringCorrectnessInput) GetInstance() *QuestionAnsweringCorrectnessInstance {
+func (x *QuestionAnsweringRelevanceInput) GetInstance() *QuestionAnsweringRelevanceInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Spec for question answering correctness instance.
-type QuestionAnsweringCorrectnessInstance struct {
+// Spec for question answering relevance instance.
+type QuestionAnsweringRelevanceInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -5366,21 +5487,21 @@ type QuestionAnsweringCorrectnessInstance struct {
 	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *QuestionAnsweringCorrectnessInstance) Reset() {
-	*x = QuestionAnsweringCorrectnessInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[71]
+func (x *QuestionAnsweringRelevanceInstance) Reset() {
+	*x = QuestionAnsweringRelevanceInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[70]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringCorrectnessInstance) String() string {
+func (x *QuestionAnsweringRelevanceInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringCorrectnessInstance) ProtoMessage() {}
+func (*QuestionAnsweringRelevanceInstance) ProtoMessage() {}
 
-func (x *QuestionAnsweringCorrectnessInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[71]
+func (x *QuestionAnsweringRelevanceInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[70]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5391,67 +5512,67 @@ func (x *QuestionAnsweringCorrectnessInstance) ProtoReflect() protoreflect.Messa
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringCorrectnessInstance.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringCorrectnessInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{71}
+// Deprecated: Use QuestionAnsweringRelevanceInstance.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringRelevanceInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{70}
 }
 
-func (x *QuestionAnsweringCorrectnessInstance) GetPrediction() string {
+func (x *QuestionAnsweringRelevanceInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringCorrectnessInstance) GetReference() string {
+func (x *QuestionAnsweringRelevanceInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringCorrectnessInstance) GetContext() string {
+func (x *QuestionAnsweringRelevanceInstance) GetContext() string {
 	if x != nil && x.Context != nil {
 		return *x.Context
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringCorrectnessInstance) GetInstruction() string {
+func (x *QuestionAnsweringRelevanceInstance) GetInstruction() string {
 	if x != nil && x.Instruction != nil {
 		return *x.Instruction
 	}
 	return ""
 }
 
-// Spec for question answering correctness metric.
-type QuestionAnsweringCorrectnessSpec struct {
+// Spec for question answering relevance metric.
+type QuestionAnsweringRelevanceSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Optional. Whether to use instance.reference to compute question answering
-	// correctness.
+	// relevance.
 	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
 	// Optional. Which version to use for evaluation.
 	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *QuestionAnsweringCorrectnessSpec) Reset() {
-	*x = QuestionAnsweringCorrectnessSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[72]
+func (x *QuestionAnsweringRelevanceSpec) Reset() {
+	*x = QuestionAnsweringRelevanceSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[71]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringCorrectnessSpec) String() string {
+func (x *QuestionAnsweringRelevanceSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringCorrectnessSpec) ProtoMessage() {}
+func (*QuestionAnsweringRelevanceSpec) ProtoMessage() {}
 
-func (x *QuestionAnsweringCorrectnessSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[72]
+func (x *QuestionAnsweringRelevanceSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[71]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5462,54 +5583,54 @@ func (x *QuestionAnsweringCorrectnessSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringCorrectnessSpec.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringCorrectnessSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{72}
+// Deprecated: Use QuestionAnsweringRelevanceSpec.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringRelevanceSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{71}
 }
 
-func (x *QuestionAnsweringCorrectnessSpec) GetUseReference() bool {
+func (x *QuestionAnsweringRelevanceSpec) GetUseReference() bool {
 	if x != nil {
 		return x.UseReference
 	}
 	return false
 }
 
-func (x *QuestionAnsweringCorrectnessSpec) GetVersion() int32 {
+func (x *QuestionAnsweringRelevanceSpec) GetVersion() int32 {
 	if x != nil {
 		return x.Version
 	}
 	return 0
 }
 
-// Spec for question answering correctness result.
-type QuestionAnsweringCorrectnessResult struct {
+// Spec for question answering relevance result.
+type QuestionAnsweringRelevanceResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Question Answering Correctness score.
+	// Output only. Question Answering Relevance score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for question answering correctness score.
+	// Output only. Explanation for question answering relevance score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
-	// Output only. Confidence for question answering correctness score.
+	// Output only. Confidence for question answering relevance score.
 	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *QuestionAnsweringCorrectnessResult) Reset() {
-	*x = QuestionAnsweringCorrectnessResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[73]
+func (x *QuestionAnsweringRelevanceResult) Reset() {
+	*x = QuestionAnsweringRelevanceResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[72]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *QuestionAnsweringCorrectnessResult) String() string {
+func (x *QuestionAnsweringRelevanceResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*QuestionAnsweringCorrectnessResult) ProtoMessage() {}
+func (*QuestionAnsweringRelevanceResult) ProtoMessage() {}
 
-func (x *QuestionAnsweringCorrectnessResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[73]
+func (x *QuestionAnsweringRelevanceResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[72]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5520,59 +5641,59 @@ func (x *QuestionAnsweringCorrectnessResult) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use QuestionAnsweringCorrectnessResult.ProtoReflect.Descriptor instead.
-func (*QuestionAnsweringCorrectnessResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{73}
+// Deprecated: Use QuestionAnsweringRelevanceResult.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringRelevanceResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{72}
 }
 
-func (x *QuestionAnsweringCorrectnessResult) GetScore() float32 {
+func (x *QuestionAnsweringRelevanceResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-func (x *QuestionAnsweringCorrectnessResult) GetExplanation() string {
+func (x *QuestionAnsweringRelevanceResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-func (x *QuestionAnsweringCorrectnessResult) GetConfidence() float32 {
+func (x *QuestionAnsweringRelevanceResult) GetConfidence() float32 {
 	if x != nil && x.Confidence != nil {
 		return *x.Confidence
 	}
 	return 0
 }
 
-// Input for pointwise metric.
-type PointwiseMetricInput struct {
+// Input for question answering helpfulness metric.
+type QuestionAnsweringHelpfulnessInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for pointwise metric.
-	MetricSpec *PointwiseMetricSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Pointwise metric instance.
-	Instance *PointwiseMetricInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for question answering helpfulness score metric.
+	MetricSpec *QuestionAnsweringHelpfulnessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Question answering helpfulness instance.
+	Instance *QuestionAnsweringHelpfulnessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *PointwiseMetricInput) Reset() {
-	*x = PointwiseMetricInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[74]
+func (x *QuestionAnsweringHelpfulnessInput) Reset() {
+	*x = QuestionAnsweringHelpfulnessInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[73]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PointwiseMetricInput) String() string {
+func (x *QuestionAnsweringHelpfulnessInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PointwiseMetricInput) ProtoMessage() {}
+func (*QuestionAnsweringHelpfulnessInput) ProtoMessage() {}
 
-func (x *PointwiseMetricInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[74]
+func (x *QuestionAnsweringHelpfulnessInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[73]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5583,55 +5704,56 @@ func (x *PointwiseMetricInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PointwiseMetricInput.ProtoReflect.Descriptor instead.
-func (*PointwiseMetricInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{74}
+// Deprecated: Use QuestionAnsweringHelpfulnessInput.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringHelpfulnessInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{73}
 }
 
-func (x *PointwiseMetricInput) GetMetricSpec() *PointwiseMetricSpec {
+func (x *QuestionAnsweringHelpfulnessInput) GetMetricSpec() *QuestionAnsweringHelpfulnessSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *PointwiseMetricInput) GetInstance() *PointwiseMetricInstance {
+func (x *QuestionAnsweringHelpfulnessInput) GetInstance() *QuestionAnsweringHelpfulnessInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Pointwise metric instance. Usually one instance corresponds to one row in an
-// evaluation dataset.
-type PointwiseMetricInstance struct {
+// Spec for question answering helpfulness instance.
+type QuestionAnsweringHelpfulnessInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Instance for pointwise metric.
-	//
-	// Types that are assignable to Instance:
-	//
-	//	*PointwiseMetricInstance_JsonInstance
-	Instance isPointwiseMetricInstance_Instance `protobuf_oneof:"instance"`
+	// Required. Output of the evaluated model.
+	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Optional. Ground truth used to compare against the prediction.
+	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+	// Optional. Text provided as context to answer the question.
+	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
+	// Required. The question asked and other instruction in the inference prompt.
+	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *PointwiseMetricInstance) Reset() {
-	*x = PointwiseMetricInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[75]
+func (x *QuestionAnsweringHelpfulnessInstance) Reset() {
+	*x = QuestionAnsweringHelpfulnessInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[74]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PointwiseMetricInstance) String() string {
+func (x *QuestionAnsweringHelpfulnessInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PointwiseMetricInstance) ProtoMessage() {}
+func (*QuestionAnsweringHelpfulnessInstance) ProtoMessage() {}
 
-func (x *PointwiseMetricInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[75]
+func (x *QuestionAnsweringHelpfulnessInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[74]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5642,65 +5764,67 @@ func (x *PointwiseMetricInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PointwiseMetricInstance.ProtoReflect.Descriptor instead.
-func (*PointwiseMetricInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{75}
+// Deprecated: Use QuestionAnsweringHelpfulnessInstance.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringHelpfulnessInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{74}
 }
 
-func (m *PointwiseMetricInstance) GetInstance() isPointwiseMetricInstance_Instance {
-	if m != nil {
-		return m.Instance
+func (x *QuestionAnsweringHelpfulnessInstance) GetPrediction() string {
+	if x != nil && x.Prediction != nil {
+		return *x.Prediction
 	}
-	return nil
+	return ""
 }
 
-func (x *PointwiseMetricInstance) GetJsonInstance() string {
-	if x, ok := x.GetInstance().(*PointwiseMetricInstance_JsonInstance); ok {
-		return x.JsonInstance
+func (x *QuestionAnsweringHelpfulnessInstance) GetReference() string {
+	if x != nil && x.Reference != nil {
+		return *x.Reference
 	}
 	return ""
 }
 
-type isPointwiseMetricInstance_Instance interface {
-	isPointwiseMetricInstance_Instance()
+func (x *QuestionAnsweringHelpfulnessInstance) GetContext() string {
+	if x != nil && x.Context != nil {
+		return *x.Context
+	}
+	return ""
 }
 
-type PointwiseMetricInstance_JsonInstance struct {
-	// Instance specified as a json string. String key-value pairs are expected
-	// in the json_instance to render
-	// PointwiseMetricSpec.instance_prompt_template.
-	JsonInstance string `protobuf:"bytes,1,opt,name=json_instance,json=jsonInstance,proto3,oneof"`
+func (x *QuestionAnsweringHelpfulnessInstance) GetInstruction() string {
+	if x != nil && x.Instruction != nil {
+		return *x.Instruction
+	}
+	return ""
 }
 
-func (*PointwiseMetricInstance_JsonInstance) isPointwiseMetricInstance_Instance() {}
-
-// Spec for pointwise metric.
-type PointwiseMetricSpec struct {
+// Spec for question answering helpfulness metric.
+type QuestionAnsweringHelpfulnessSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Metric prompt template for pointwise metric.
-	MetricPromptTemplate *string `protobuf:"bytes,1,opt,name=metric_prompt_template,json=metricPromptTemplate,proto3,oneof" json:"metric_prompt_template,omitempty"`
-	// Optional. System instructions for pointwise metric.
-	SystemInstruction *string `protobuf:"bytes,2,opt,name=system_instruction,json=systemInstruction,proto3,oneof" json:"system_instruction,omitempty"`
+	// Optional. Whether to use instance.reference to compute question answering
+	// helpfulness.
+	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
+	// Optional. Which version to use for evaluation.
+	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *PointwiseMetricSpec) Reset() {
-	*x = PointwiseMetricSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[76]
+func (x *QuestionAnsweringHelpfulnessSpec) Reset() {
+	*x = QuestionAnsweringHelpfulnessSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[75]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PointwiseMetricSpec) String() string {
+func (x *QuestionAnsweringHelpfulnessSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PointwiseMetricSpec) ProtoMessage() {}
+func (*QuestionAnsweringHelpfulnessSpec) ProtoMessage() {}
 
-func (x *PointwiseMetricSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[76]
+func (x *QuestionAnsweringHelpfulnessSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[75]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5711,52 +5835,54 @@ func (x *PointwiseMetricSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PointwiseMetricSpec.ProtoReflect.Descriptor instead.
-func (*PointwiseMetricSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{76}
+// Deprecated: Use QuestionAnsweringHelpfulnessSpec.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringHelpfulnessSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{75}
 }
 
-func (x *PointwiseMetricSpec) GetMetricPromptTemplate() string {
-	if x != nil && x.MetricPromptTemplate != nil {
-		return *x.MetricPromptTemplate
+func (x *QuestionAnsweringHelpfulnessSpec) GetUseReference() bool {
+	if x != nil {
+		return x.UseReference
 	}
-	return ""
+	return false
 }
 
-func (x *PointwiseMetricSpec) GetSystemInstruction() string {
-	if x != nil && x.SystemInstruction != nil {
-		return *x.SystemInstruction
+func (x *QuestionAnsweringHelpfulnessSpec) GetVersion() int32 {
+	if x != nil {
+		return x.Version
 	}
-	return ""
+	return 0
 }
 
-// Spec for pointwise metric result.
-type PointwiseMetricResult struct {
+// Spec for question answering helpfulness result.
+type QuestionAnsweringHelpfulnessResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Pointwise metric score.
+	// Output only. Question Answering Helpfulness score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-	// Output only. Explanation for pointwise metric score.
+	// Output only. Explanation for question answering helpfulness score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
+	// Output only. Confidence for question answering helpfulness score.
+	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *PointwiseMetricResult) Reset() {
-	*x = PointwiseMetricResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[77]
+func (x *QuestionAnsweringHelpfulnessResult) Reset() {
+	*x = QuestionAnsweringHelpfulnessResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[76]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PointwiseMetricResult) String() string {
+func (x *QuestionAnsweringHelpfulnessResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PointwiseMetricResult) ProtoMessage() {}
+func (*QuestionAnsweringHelpfulnessResult) ProtoMessage() {}
 
-func (x *PointwiseMetricResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[77]
+func (x *QuestionAnsweringHelpfulnessResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[76]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5767,52 +5893,59 @@ func (x *PointwiseMetricResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PointwiseMetricResult.ProtoReflect.Descriptor instead.
-func (*PointwiseMetricResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{77}
+// Deprecated: Use QuestionAnsweringHelpfulnessResult.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringHelpfulnessResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{76}
 }
 
-func (x *PointwiseMetricResult) GetScore() float32 {
+func (x *QuestionAnsweringHelpfulnessResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-func (x *PointwiseMetricResult) GetExplanation() string {
+func (x *QuestionAnsweringHelpfulnessResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-// Input for pairwise metric.
-type PairwiseMetricInput struct {
+func (x *QuestionAnsweringHelpfulnessResult) GetConfidence() float32 {
+	if x != nil && x.Confidence != nil {
+		return *x.Confidence
+	}
+	return 0
+}
+
+// Input for question answering correctness metric.
+type QuestionAnsweringCorrectnessInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for pairwise metric.
-	MetricSpec *PairwiseMetricSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Pairwise metric instance.
-	Instance *PairwiseMetricInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for question answering correctness score metric.
+	MetricSpec *QuestionAnsweringCorrectnessSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Question answering correctness instance.
+	Instance *QuestionAnsweringCorrectnessInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *PairwiseMetricInput) Reset() {
-	*x = PairwiseMetricInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[78]
+func (x *QuestionAnsweringCorrectnessInput) Reset() {
+	*x = QuestionAnsweringCorrectnessInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[77]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseMetricInput) String() string {
+func (x *QuestionAnsweringCorrectnessInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseMetricInput) ProtoMessage() {}
+func (*QuestionAnsweringCorrectnessInput) ProtoMessage() {}
 
-func (x *PairwiseMetricInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[78]
+func (x *QuestionAnsweringCorrectnessInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[77]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5823,55 +5956,56 @@ func (x *PairwiseMetricInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseMetricInput.ProtoReflect.Descriptor instead.
-func (*PairwiseMetricInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{78}
+// Deprecated: Use QuestionAnsweringCorrectnessInput.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringCorrectnessInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{77}
 }
 
-func (x *PairwiseMetricInput) GetMetricSpec() *PairwiseMetricSpec {
+func (x *QuestionAnsweringCorrectnessInput) GetMetricSpec() *QuestionAnsweringCorrectnessSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *PairwiseMetricInput) GetInstance() *PairwiseMetricInstance {
+func (x *QuestionAnsweringCorrectnessInput) GetInstance() *QuestionAnsweringCorrectnessInstance {
 	if x != nil {
 		return x.Instance
 	}
 	return nil
 }
 
-// Pairwise metric instance. Usually one instance corresponds to one row in an
-// evaluation dataset.
-type PairwiseMetricInstance struct {
+// Spec for question answering correctness instance.
+type QuestionAnsweringCorrectnessInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Instance for pairwise metric.
-	//
-	// Types that are assignable to Instance:
-	//
-	//	*PairwiseMetricInstance_JsonInstance
-	Instance isPairwiseMetricInstance_Instance `protobuf_oneof:"instance"`
+	// Required. Output of the evaluated model.
+	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Optional. Ground truth used to compare against the prediction.
+	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+	// Optional. Text provided as context to answer the question.
+	Context *string `protobuf:"bytes,3,opt,name=context,proto3,oneof" json:"context,omitempty"`
+	// Required. The question asked and other instruction in the inference prompt.
+	Instruction *string `protobuf:"bytes,4,opt,name=instruction,proto3,oneof" json:"instruction,omitempty"`
 }
 
-func (x *PairwiseMetricInstance) Reset() {
-	*x = PairwiseMetricInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[79]
+func (x *QuestionAnsweringCorrectnessInstance) Reset() {
+	*x = QuestionAnsweringCorrectnessInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[78]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseMetricInstance) String() string {
+func (x *QuestionAnsweringCorrectnessInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseMetricInstance) ProtoMessage() {}
+func (*QuestionAnsweringCorrectnessInstance) ProtoMessage() {}
 
-func (x *PairwiseMetricInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[79]
+func (x *QuestionAnsweringCorrectnessInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[78]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5882,69 +6016,67 @@ func (x *PairwiseMetricInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseMetricInstance.ProtoReflect.Descriptor instead.
-func (*PairwiseMetricInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{79}
+// Deprecated: Use QuestionAnsweringCorrectnessInstance.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringCorrectnessInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{78}
 }
 
-func (m *PairwiseMetricInstance) GetInstance() isPairwiseMetricInstance_Instance {
-	if m != nil {
-		return m.Instance
+func (x *QuestionAnsweringCorrectnessInstance) GetPrediction() string {
+	if x != nil && x.Prediction != nil {
+		return *x.Prediction
 	}
-	return nil
+	return ""
 }
 
-func (x *PairwiseMetricInstance) GetJsonInstance() string {
-	if x, ok := x.GetInstance().(*PairwiseMetricInstance_JsonInstance); ok {
-		return x.JsonInstance
+func (x *QuestionAnsweringCorrectnessInstance) GetReference() string {
+	if x != nil && x.Reference != nil {
+		return *x.Reference
 	}
 	return ""
 }
 
-type isPairwiseMetricInstance_Instance interface {
-	isPairwiseMetricInstance_Instance()
+func (x *QuestionAnsweringCorrectnessInstance) GetContext() string {
+	if x != nil && x.Context != nil {
+		return *x.Context
+	}
+	return ""
 }
 
-type PairwiseMetricInstance_JsonInstance struct {
-	// Instance specified as a json string. String key-value pairs are expected
-	// in the json_instance to render
-	// PairwiseMetricSpec.instance_prompt_template.
-	JsonInstance string `protobuf:"bytes,1,opt,name=json_instance,json=jsonInstance,proto3,oneof"`
+func (x *QuestionAnsweringCorrectnessInstance) GetInstruction() string {
+	if x != nil && x.Instruction != nil {
+		return *x.Instruction
+	}
+	return ""
 }
 
-func (*PairwiseMetricInstance_JsonInstance) isPairwiseMetricInstance_Instance() {}
-
-// Spec for pairwise metric.
-type PairwiseMetricSpec struct {
+// Spec for question answering correctness metric.
+type QuestionAnsweringCorrectnessSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Metric prompt template for pairwise metric.
-	MetricPromptTemplate *string `protobuf:"bytes,1,opt,name=metric_prompt_template,json=metricPromptTemplate,proto3,oneof" json:"metric_prompt_template,omitempty"`
-	// Optional. The field name of the candidate response.
-	CandidateResponseFieldName string `protobuf:"bytes,2,opt,name=candidate_response_field_name,json=candidateResponseFieldName,proto3" json:"candidate_response_field_name,omitempty"`
-	// Optional. The field name of the baseline response.
-	BaselineResponseFieldName string `protobuf:"bytes,3,opt,name=baseline_response_field_name,json=baselineResponseFieldName,proto3" json:"baseline_response_field_name,omitempty"`
-	// Optional. System instructions for pairwise metric.
-	SystemInstruction *string `protobuf:"bytes,4,opt,name=system_instruction,json=systemInstruction,proto3,oneof" json:"system_instruction,omitempty"`
+	// Optional. Whether to use instance.reference to compute question answering
+	// correctness.
+	UseReference bool `protobuf:"varint,1,opt,name=use_reference,json=useReference,proto3" json:"use_reference,omitempty"`
+	// Optional. Which version to use for evaluation.
+	Version int32 `protobuf:"varint,2,opt,name=version,proto3" json:"version,omitempty"`
 }
 
-func (x *PairwiseMetricSpec) Reset() {
-	*x = PairwiseMetricSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[80]
+func (x *QuestionAnsweringCorrectnessSpec) Reset() {
+	*x = QuestionAnsweringCorrectnessSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[79]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseMetricSpec) String() string {
+func (x *QuestionAnsweringCorrectnessSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseMetricSpec) ProtoMessage() {}
+func (*QuestionAnsweringCorrectnessSpec) ProtoMessage() {}
 
-func (x *PairwiseMetricSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[80]
+func (x *QuestionAnsweringCorrectnessSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[79]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -5955,66 +6087,54 @@ func (x *PairwiseMetricSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseMetricSpec.ProtoReflect.Descriptor instead.
-func (*PairwiseMetricSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{80}
-}
-
-func (x *PairwiseMetricSpec) GetMetricPromptTemplate() string {
-	if x != nil && x.MetricPromptTemplate != nil {
-		return *x.MetricPromptTemplate
-	}
-	return ""
+// Deprecated: Use QuestionAnsweringCorrectnessSpec.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringCorrectnessSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{79}
 }
 
-func (x *PairwiseMetricSpec) GetCandidateResponseFieldName() string {
+func (x *QuestionAnsweringCorrectnessSpec) GetUseReference() bool {
 	if x != nil {
-		return x.CandidateResponseFieldName
+		return x.UseReference
 	}
-	return ""
+	return false
 }
 
-func (x *PairwiseMetricSpec) GetBaselineResponseFieldName() string {
+func (x *QuestionAnsweringCorrectnessSpec) GetVersion() int32 {
 	if x != nil {
-		return x.BaselineResponseFieldName
-	}
-	return ""
-}
-
-func (x *PairwiseMetricSpec) GetSystemInstruction() string {
-	if x != nil && x.SystemInstruction != nil {
-		return *x.SystemInstruction
+		return x.Version
 	}
-	return ""
+	return 0
 }
 
-// Spec for pairwise metric result.
-type PairwiseMetricResult struct {
+// Spec for question answering correctness result.
+type QuestionAnsweringCorrectnessResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Pairwise metric choice.
-	PairwiseChoice PairwiseChoice `protobuf:"varint,1,opt,name=pairwise_choice,json=pairwiseChoice,proto3,enum=google.cloud.aiplatform.v1beta1.PairwiseChoice" json:"pairwise_choice,omitempty"`
-	// Output only. Explanation for pairwise metric score.
+	// Output only. Question Answering Correctness score.
+	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+	// Output only. Explanation for question answering correctness score.
 	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
+	// Output only. Confidence for question answering correctness score.
+	Confidence *float32 `protobuf:"fixed32,3,opt,name=confidence,proto3,oneof" json:"confidence,omitempty"`
 }
 
-func (x *PairwiseMetricResult) Reset() {
-	*x = PairwiseMetricResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[81]
+func (x *QuestionAnsweringCorrectnessResult) Reset() {
+	*x = QuestionAnsweringCorrectnessResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[80]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *PairwiseMetricResult) String() string {
+func (x *QuestionAnsweringCorrectnessResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*PairwiseMetricResult) ProtoMessage() {}
+func (*QuestionAnsweringCorrectnessResult) ProtoMessage() {}
 
-func (x *PairwiseMetricResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[81]
+func (x *QuestionAnsweringCorrectnessResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[80]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6025,52 +6145,59 @@ func (x *PairwiseMetricResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use PairwiseMetricResult.ProtoReflect.Descriptor instead.
-func (*PairwiseMetricResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{81}
+// Deprecated: Use QuestionAnsweringCorrectnessResult.ProtoReflect.Descriptor instead.
+func (*QuestionAnsweringCorrectnessResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{80}
 }
 
-func (x *PairwiseMetricResult) GetPairwiseChoice() PairwiseChoice {
-	if x != nil {
-		return x.PairwiseChoice
+func (x *QuestionAnsweringCorrectnessResult) GetScore() float32 {
+	if x != nil && x.Score != nil {
+		return *x.Score
 	}
-	return PairwiseChoice_PAIRWISE_CHOICE_UNSPECIFIED
+	return 0
 }
 
-func (x *PairwiseMetricResult) GetExplanation() string {
+func (x *QuestionAnsweringCorrectnessResult) GetExplanation() string {
 	if x != nil {
 		return x.Explanation
 	}
 	return ""
 }
 
-// Input for tool call valid metric.
-type ToolCallValidInput struct {
+func (x *QuestionAnsweringCorrectnessResult) GetConfidence() float32 {
+	if x != nil && x.Confidence != nil {
+		return *x.Confidence
+	}
+	return 0
+}
+
+// Input for pointwise metric.
+type PointwiseMetricInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for tool call valid metric.
-	MetricSpec *ToolCallValidSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated tool call valid instances.
-	Instances []*ToolCallValidInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Required. Spec for pointwise metric.
+	MetricSpec *PointwiseMetricSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Pointwise metric instance.
+	Instance *PointwiseMetricInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *ToolCallValidInput) Reset() {
-	*x = ToolCallValidInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[82]
+func (x *PointwiseMetricInput) Reset() {
+	*x = PointwiseMetricInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[81]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolCallValidInput) String() string {
+func (x *PointwiseMetricInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolCallValidInput) ProtoMessage() {}
+func (*PointwiseMetricInput) ProtoMessage() {}
 
-func (x *ToolCallValidInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[82]
+func (x *PointwiseMetricInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[81]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6081,47 +6208,55 @@ func (x *ToolCallValidInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolCallValidInput.ProtoReflect.Descriptor instead.
-func (*ToolCallValidInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{82}
+// Deprecated: Use PointwiseMetricInput.ProtoReflect.Descriptor instead.
+func (*PointwiseMetricInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{81}
 }
 
-func (x *ToolCallValidInput) GetMetricSpec() *ToolCallValidSpec {
+func (x *PointwiseMetricInput) GetMetricSpec() *PointwiseMetricSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *ToolCallValidInput) GetInstances() []*ToolCallValidInstance {
+func (x *PointwiseMetricInput) GetInstance() *PointwiseMetricInstance {
 	if x != nil {
-		return x.Instances
+		return x.Instance
 	}
 	return nil
 }
 
-// Spec for tool call valid metric.
-type ToolCallValidSpec struct {
+// Pointwise metric instance. Usually one instance corresponds to one row in an
+// evaluation dataset.
+type PointwiseMetricInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
+
+	// Instance for pointwise metric.
+	//
+	// Types that are assignable to Instance:
+	//
+	//	*PointwiseMetricInstance_JsonInstance
+	Instance isPointwiseMetricInstance_Instance `protobuf_oneof:"instance"`
 }
 
-func (x *ToolCallValidSpec) Reset() {
-	*x = ToolCallValidSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[83]
+func (x *PointwiseMetricInstance) Reset() {
+	*x = PointwiseMetricInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[82]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolCallValidSpec) String() string {
+func (x *PointwiseMetricInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolCallValidSpec) ProtoMessage() {}
+func (*PointwiseMetricInstance) ProtoMessage() {}
 
-func (x *ToolCallValidSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[83]
+func (x *PointwiseMetricInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[82]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6132,38 +6267,65 @@ func (x *ToolCallValidSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolCallValidSpec.ProtoReflect.Descriptor instead.
-func (*ToolCallValidSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{83}
+// Deprecated: Use PointwiseMetricInstance.ProtoReflect.Descriptor instead.
+func (*PointwiseMetricInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{82}
 }
 
-// Spec for tool call valid instance.
-type ToolCallValidInstance struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
+func (m *PointwiseMetricInstance) GetInstance() isPointwiseMetricInstance_Instance {
+	if m != nil {
+		return m.Instance
+	}
+	return nil
+}
 
-	// Required. Output of the evaluated model.
-	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Required. Ground truth used to compare against the prediction.
-	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+func (x *PointwiseMetricInstance) GetJsonInstance() string {
+	if x, ok := x.GetInstance().(*PointwiseMetricInstance_JsonInstance); ok {
+		return x.JsonInstance
+	}
+	return ""
 }
 
-func (x *ToolCallValidInstance) Reset() {
-	*x = ToolCallValidInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[84]
+type isPointwiseMetricInstance_Instance interface {
+	isPointwiseMetricInstance_Instance()
+}
+
+type PointwiseMetricInstance_JsonInstance struct {
+	// Instance specified as a json string. String key-value pairs are expected
+	// in the json_instance to render
+	// PointwiseMetricSpec.instance_prompt_template.
+	JsonInstance string `protobuf:"bytes,1,opt,name=json_instance,json=jsonInstance,proto3,oneof"`
+}
+
+func (*PointwiseMetricInstance_JsonInstance) isPointwiseMetricInstance_Instance() {}
+
+// Spec for pointwise metric.
+type PointwiseMetricSpec struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Required. Metric prompt template for pointwise metric.
+	MetricPromptTemplate *string `protobuf:"bytes,1,opt,name=metric_prompt_template,json=metricPromptTemplate,proto3,oneof" json:"metric_prompt_template,omitempty"`
+	// Optional. System instructions for pointwise metric.
+	SystemInstruction *string `protobuf:"bytes,2,opt,name=system_instruction,json=systemInstruction,proto3,oneof" json:"system_instruction,omitempty"`
+}
+
+func (x *PointwiseMetricSpec) Reset() {
+	*x = PointwiseMetricSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[83]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolCallValidInstance) String() string {
+func (x *PointwiseMetricSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolCallValidInstance) ProtoMessage() {}
+func (*PointwiseMetricSpec) ProtoMessage() {}
 
-func (x *ToolCallValidInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[84]
+func (x *PointwiseMetricSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[83]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6174,50 +6336,52 @@ func (x *ToolCallValidInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolCallValidInstance.ProtoReflect.Descriptor instead.
-func (*ToolCallValidInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{84}
+// Deprecated: Use PointwiseMetricSpec.ProtoReflect.Descriptor instead.
+func (*PointwiseMetricSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{83}
 }
 
-func (x *ToolCallValidInstance) GetPrediction() string {
-	if x != nil && x.Prediction != nil {
-		return *x.Prediction
+func (x *PointwiseMetricSpec) GetMetricPromptTemplate() string {
+	if x != nil && x.MetricPromptTemplate != nil {
+		return *x.MetricPromptTemplate
 	}
 	return ""
 }
 
-func (x *ToolCallValidInstance) GetReference() string {
-	if x != nil && x.Reference != nil {
-		return *x.Reference
+func (x *PointwiseMetricSpec) GetSystemInstruction() string {
+	if x != nil && x.SystemInstruction != nil {
+		return *x.SystemInstruction
 	}
 	return ""
 }
 
-// Results for tool call valid metric.
-type ToolCallValidResults struct {
+// Spec for pointwise metric result.
+type PointwiseMetricResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Tool call valid metric values.
-	ToolCallValidMetricValues []*ToolCallValidMetricValue `protobuf:"bytes,1,rep,name=tool_call_valid_metric_values,json=toolCallValidMetricValues,proto3" json:"tool_call_valid_metric_values,omitempty"`
+	// Output only. Pointwise metric score.
+	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+	// Output only. Explanation for pointwise metric score.
+	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
 }
 
-func (x *ToolCallValidResults) Reset() {
-	*x = ToolCallValidResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[85]
+func (x *PointwiseMetricResult) Reset() {
+	*x = PointwiseMetricResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[84]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolCallValidResults) String() string {
+func (x *PointwiseMetricResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolCallValidResults) ProtoMessage() {}
+func (*PointwiseMetricResult) ProtoMessage() {}
 
-func (x *ToolCallValidResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[85]
+func (x *PointwiseMetricResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[84]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6228,43 +6392,52 @@ func (x *ToolCallValidResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolCallValidResults.ProtoReflect.Descriptor instead.
-func (*ToolCallValidResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{85}
+// Deprecated: Use PointwiseMetricResult.ProtoReflect.Descriptor instead.
+func (*PointwiseMetricResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{84}
 }
 
-func (x *ToolCallValidResults) GetToolCallValidMetricValues() []*ToolCallValidMetricValue {
+func (x *PointwiseMetricResult) GetScore() float32 {
+	if x != nil && x.Score != nil {
+		return *x.Score
+	}
+	return 0
+}
+
+func (x *PointwiseMetricResult) GetExplanation() string {
 	if x != nil {
-		return x.ToolCallValidMetricValues
+		return x.Explanation
 	}
-	return nil
+	return ""
 }
 
-// Tool call valid metric value for an instance.
-type ToolCallValidMetricValue struct {
+// Input for pairwise metric.
+type PairwiseMetricInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Tool call valid score.
-	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+	// Required. Spec for pairwise metric.
+	MetricSpec *PairwiseMetricSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Pairwise metric instance.
+	Instance *PairwiseMetricInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *ToolCallValidMetricValue) Reset() {
-	*x = ToolCallValidMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[86]
+func (x *PairwiseMetricInput) Reset() {
+	*x = PairwiseMetricInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[85]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolCallValidMetricValue) String() string {
+func (x *PairwiseMetricInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolCallValidMetricValue) ProtoMessage() {}
+func (*PairwiseMetricInput) ProtoMessage() {}
 
-func (x *ToolCallValidMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[86]
+func (x *PairwiseMetricInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[85]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6275,45 +6448,55 @@ func (x *ToolCallValidMetricValue) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolCallValidMetricValue.ProtoReflect.Descriptor instead.
-func (*ToolCallValidMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{86}
+// Deprecated: Use PairwiseMetricInput.ProtoReflect.Descriptor instead.
+func (*PairwiseMetricInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{85}
 }
 
-func (x *ToolCallValidMetricValue) GetScore() float32 {
-	if x != nil && x.Score != nil {
-		return *x.Score
+func (x *PairwiseMetricInput) GetMetricSpec() *PairwiseMetricSpec {
+	if x != nil {
+		return x.MetricSpec
 	}
-	return 0
+	return nil
 }
 
-// Input for tool name match metric.
-type ToolNameMatchInput struct {
+func (x *PairwiseMetricInput) GetInstance() *PairwiseMetricInstance {
+	if x != nil {
+		return x.Instance
+	}
+	return nil
+}
+
+// Pairwise metric instance. Usually one instance corresponds to one row in an
+// evaluation dataset.
+type PairwiseMetricInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for tool name match metric.
-	MetricSpec *ToolNameMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated tool name match instances.
-	Instances []*ToolNameMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Instance for pairwise metric.
+	//
+	// Types that are assignable to Instance:
+	//
+	//	*PairwiseMetricInstance_JsonInstance
+	Instance isPairwiseMetricInstance_Instance `protobuf_oneof:"instance"`
 }
 
-func (x *ToolNameMatchInput) Reset() {
-	*x = ToolNameMatchInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[87]
+func (x *PairwiseMetricInstance) Reset() {
+	*x = PairwiseMetricInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[86]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolNameMatchInput) String() string {
+func (x *PairwiseMetricInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolNameMatchInput) ProtoMessage() {}
+func (*PairwiseMetricInstance) ProtoMessage() {}
 
-func (x *ToolNameMatchInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[87]
+func (x *PairwiseMetricInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[86]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6324,47 +6507,69 @@ func (x *ToolNameMatchInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolNameMatchInput.ProtoReflect.Descriptor instead.
-func (*ToolNameMatchInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{87}
+// Deprecated: Use PairwiseMetricInstance.ProtoReflect.Descriptor instead.
+func (*PairwiseMetricInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{86}
 }
 
-func (x *ToolNameMatchInput) GetMetricSpec() *ToolNameMatchSpec {
-	if x != nil {
-		return x.MetricSpec
+func (m *PairwiseMetricInstance) GetInstance() isPairwiseMetricInstance_Instance {
+	if m != nil {
+		return m.Instance
 	}
 	return nil
 }
 
-func (x *ToolNameMatchInput) GetInstances() []*ToolNameMatchInstance {
-	if x != nil {
-		return x.Instances
+func (x *PairwiseMetricInstance) GetJsonInstance() string {
+	if x, ok := x.GetInstance().(*PairwiseMetricInstance_JsonInstance); ok {
+		return x.JsonInstance
 	}
-	return nil
+	return ""
 }
 
-// Spec for tool name match metric.
-type ToolNameMatchSpec struct {
+type isPairwiseMetricInstance_Instance interface {
+	isPairwiseMetricInstance_Instance()
+}
+
+type PairwiseMetricInstance_JsonInstance struct {
+	// Instance specified as a json string. String key-value pairs are expected
+	// in the json_instance to render
+	// PairwiseMetricSpec.instance_prompt_template.
+	JsonInstance string `protobuf:"bytes,1,opt,name=json_instance,json=jsonInstance,proto3,oneof"`
+}
+
+func (*PairwiseMetricInstance_JsonInstance) isPairwiseMetricInstance_Instance() {}
+
+// Spec for pairwise metric.
+type PairwiseMetricSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
+
+	// Required. Metric prompt template for pairwise metric.
+	MetricPromptTemplate *string `protobuf:"bytes,1,opt,name=metric_prompt_template,json=metricPromptTemplate,proto3,oneof" json:"metric_prompt_template,omitempty"`
+	// Optional. The field name of the candidate response.
+	CandidateResponseFieldName string `protobuf:"bytes,2,opt,name=candidate_response_field_name,json=candidateResponseFieldName,proto3" json:"candidate_response_field_name,omitempty"`
+	// Optional. The field name of the baseline response.
+	BaselineResponseFieldName string `protobuf:"bytes,3,opt,name=baseline_response_field_name,json=baselineResponseFieldName,proto3" json:"baseline_response_field_name,omitempty"`
+	// Optional. System instructions for pairwise metric.
+	SystemInstruction *string `protobuf:"bytes,4,opt,name=system_instruction,json=systemInstruction,proto3,oneof" json:"system_instruction,omitempty"`
 }
 
-func (x *ToolNameMatchSpec) Reset() {
-	*x = ToolNameMatchSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[88]
+func (x *PairwiseMetricSpec) Reset() {
+	*x = PairwiseMetricSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[87]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolNameMatchSpec) String() string {
+func (x *PairwiseMetricSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolNameMatchSpec) ProtoMessage() {}
+func (*PairwiseMetricSpec) ProtoMessage() {}
 
-func (x *ToolNameMatchSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[88]
+func (x *PairwiseMetricSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[87]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6375,92 +6580,66 @@ func (x *ToolNameMatchSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolNameMatchSpec.ProtoReflect.Descriptor instead.
-func (*ToolNameMatchSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{88}
+// Deprecated: Use PairwiseMetricSpec.ProtoReflect.Descriptor instead.
+func (*PairwiseMetricSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{87}
 }
 
-// Spec for tool name match instance.
-type ToolNameMatchInstance struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
-
-	// Required. Output of the evaluated model.
-	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Required. Ground truth used to compare against the prediction.
-	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
-}
-
-func (x *ToolNameMatchInstance) Reset() {
-	*x = ToolNameMatchInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[89]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
-}
-
-func (x *ToolNameMatchInstance) String() string {
-	return protoimpl.X.MessageStringOf(x)
+func (x *PairwiseMetricSpec) GetMetricPromptTemplate() string {
+	if x != nil && x.MetricPromptTemplate != nil {
+		return *x.MetricPromptTemplate
+	}
+	return ""
 }
 
-func (*ToolNameMatchInstance) ProtoMessage() {}
-
-func (x *ToolNameMatchInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[89]
+func (x *PairwiseMetricSpec) GetCandidateResponseFieldName() string {
 	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
+		return x.CandidateResponseFieldName
 	}
-	return mi.MessageOf(x)
-}
-
-// Deprecated: Use ToolNameMatchInstance.ProtoReflect.Descriptor instead.
-func (*ToolNameMatchInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{89}
+	return ""
 }
 
-func (x *ToolNameMatchInstance) GetPrediction() string {
-	if x != nil && x.Prediction != nil {
-		return *x.Prediction
+func (x *PairwiseMetricSpec) GetBaselineResponseFieldName() string {
+	if x != nil {
+		return x.BaselineResponseFieldName
 	}
 	return ""
 }
 
-func (x *ToolNameMatchInstance) GetReference() string {
-	if x != nil && x.Reference != nil {
-		return *x.Reference
+func (x *PairwiseMetricSpec) GetSystemInstruction() string {
+	if x != nil && x.SystemInstruction != nil {
+		return *x.SystemInstruction
 	}
 	return ""
 }
 
-// Results for tool name match metric.
-type ToolNameMatchResults struct {
+// Spec for pairwise metric result.
+type PairwiseMetricResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Tool name match metric values.
-	ToolNameMatchMetricValues []*ToolNameMatchMetricValue `protobuf:"bytes,1,rep,name=tool_name_match_metric_values,json=toolNameMatchMetricValues,proto3" json:"tool_name_match_metric_values,omitempty"`
+	// Output only. Pairwise metric choice.
+	PairwiseChoice PairwiseChoice `protobuf:"varint,1,opt,name=pairwise_choice,json=pairwiseChoice,proto3,enum=google.cloud.aiplatform.v1beta1.PairwiseChoice" json:"pairwise_choice,omitempty"`
+	// Output only. Explanation for pairwise metric score.
+	Explanation string `protobuf:"bytes,2,opt,name=explanation,proto3" json:"explanation,omitempty"`
 }
 
-func (x *ToolNameMatchResults) Reset() {
-	*x = ToolNameMatchResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[90]
+func (x *PairwiseMetricResult) Reset() {
+	*x = PairwiseMetricResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[88]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolNameMatchResults) String() string {
+func (x *PairwiseMetricResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolNameMatchResults) ProtoMessage() {}
+func (*PairwiseMetricResult) ProtoMessage() {}
 
-func (x *ToolNameMatchResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[90]
+func (x *PairwiseMetricResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[88]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6471,92 +6650,52 @@ func (x *ToolNameMatchResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolNameMatchResults.ProtoReflect.Descriptor instead.
-func (*ToolNameMatchResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{90}
+// Deprecated: Use PairwiseMetricResult.ProtoReflect.Descriptor instead.
+func (*PairwiseMetricResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{88}
 }
 
-func (x *ToolNameMatchResults) GetToolNameMatchMetricValues() []*ToolNameMatchMetricValue {
+func (x *PairwiseMetricResult) GetPairwiseChoice() PairwiseChoice {
 	if x != nil {
-		return x.ToolNameMatchMetricValues
+		return x.PairwiseChoice
 	}
-	return nil
-}
-
-// Tool name match metric value for an instance.
-type ToolNameMatchMetricValue struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
-
-	// Output only. Tool name match score.
-	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
-}
-
-func (x *ToolNameMatchMetricValue) Reset() {
-	*x = ToolNameMatchMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[91]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
-}
-
-func (x *ToolNameMatchMetricValue) String() string {
-	return protoimpl.X.MessageStringOf(x)
+	return PairwiseChoice_PAIRWISE_CHOICE_UNSPECIFIED
 }
 
-func (*ToolNameMatchMetricValue) ProtoMessage() {}
-
-func (x *ToolNameMatchMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[91]
+func (x *PairwiseMetricResult) GetExplanation() string {
 	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
-	}
-	return mi.MessageOf(x)
-}
-
-// Deprecated: Use ToolNameMatchMetricValue.ProtoReflect.Descriptor instead.
-func (*ToolNameMatchMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{91}
-}
-
-func (x *ToolNameMatchMetricValue) GetScore() float32 {
-	if x != nil && x.Score != nil {
-		return *x.Score
+		return x.Explanation
 	}
-	return 0
+	return ""
 }
 
-// Input for tool parameter key match metric.
-type ToolParameterKeyMatchInput struct {
+// Input for tool call valid metric.
+type ToolCallValidInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for tool parameter key match metric.
-	MetricSpec *ToolParameterKeyMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated tool parameter key match instances.
-	Instances []*ToolParameterKeyMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Required. Spec for tool call valid metric.
+	MetricSpec *ToolCallValidSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated tool call valid instances.
+	Instances []*ToolCallValidInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *ToolParameterKeyMatchInput) Reset() {
-	*x = ToolParameterKeyMatchInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[92]
+func (x *ToolCallValidInput) Reset() {
+	*x = ToolCallValidInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[89]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKeyMatchInput) String() string {
+func (x *ToolCallValidInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKeyMatchInput) ProtoMessage() {}
+func (*ToolCallValidInput) ProtoMessage() {}
 
-func (x *ToolParameterKeyMatchInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[92]
+func (x *ToolCallValidInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[89]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6567,47 +6706,47 @@ func (x *ToolParameterKeyMatchInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKeyMatchInput.ProtoReflect.Descriptor instead.
-func (*ToolParameterKeyMatchInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{92}
+// Deprecated: Use ToolCallValidInput.ProtoReflect.Descriptor instead.
+func (*ToolCallValidInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{89}
 }
 
-func (x *ToolParameterKeyMatchInput) GetMetricSpec() *ToolParameterKeyMatchSpec {
+func (x *ToolCallValidInput) GetMetricSpec() *ToolCallValidSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *ToolParameterKeyMatchInput) GetInstances() []*ToolParameterKeyMatchInstance {
+func (x *ToolCallValidInput) GetInstances() []*ToolCallValidInstance {
 	if x != nil {
 		return x.Instances
 	}
 	return nil
 }
 
-// Spec for tool parameter key match metric.
-type ToolParameterKeyMatchSpec struct {
+// Spec for tool call valid metric.
+type ToolCallValidSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 }
 
-func (x *ToolParameterKeyMatchSpec) Reset() {
-	*x = ToolParameterKeyMatchSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[93]
+func (x *ToolCallValidSpec) Reset() {
+	*x = ToolCallValidSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[90]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKeyMatchSpec) String() string {
+func (x *ToolCallValidSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKeyMatchSpec) ProtoMessage() {}
+func (*ToolCallValidSpec) ProtoMessage() {}
 
-func (x *ToolParameterKeyMatchSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[93]
+func (x *ToolCallValidSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[90]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6618,13 +6757,13 @@ func (x *ToolParameterKeyMatchSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKeyMatchSpec.ProtoReflect.Descriptor instead.
-func (*ToolParameterKeyMatchSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{93}
+// Deprecated: Use ToolCallValidSpec.ProtoReflect.Descriptor instead.
+func (*ToolCallValidSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{90}
 }
 
-// Spec for tool parameter key match instance.
-type ToolParameterKeyMatchInstance struct {
+// Spec for tool call valid instance.
+type ToolCallValidInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -6635,21 +6774,21 @@ type ToolParameterKeyMatchInstance struct {
 	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
 }
 
-func (x *ToolParameterKeyMatchInstance) Reset() {
-	*x = ToolParameterKeyMatchInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[94]
+func (x *ToolCallValidInstance) Reset() {
+	*x = ToolCallValidInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[91]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKeyMatchInstance) String() string {
+func (x *ToolCallValidInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKeyMatchInstance) ProtoMessage() {}
+func (*ToolCallValidInstance) ProtoMessage() {}
 
-func (x *ToolParameterKeyMatchInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[94]
+func (x *ToolCallValidInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[91]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6660,50 +6799,50 @@ func (x *ToolParameterKeyMatchInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKeyMatchInstance.ProtoReflect.Descriptor instead.
-func (*ToolParameterKeyMatchInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{94}
+// Deprecated: Use ToolCallValidInstance.ProtoReflect.Descriptor instead.
+func (*ToolCallValidInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{91}
 }
 
-func (x *ToolParameterKeyMatchInstance) GetPrediction() string {
+func (x *ToolCallValidInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *ToolParameterKeyMatchInstance) GetReference() string {
+func (x *ToolCallValidInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-// Results for tool parameter key match metric.
-type ToolParameterKeyMatchResults struct {
+// Results for tool call valid metric.
+type ToolCallValidResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Tool parameter key match metric values.
-	ToolParameterKeyMatchMetricValues []*ToolParameterKeyMatchMetricValue `protobuf:"bytes,1,rep,name=tool_parameter_key_match_metric_values,json=toolParameterKeyMatchMetricValues,proto3" json:"tool_parameter_key_match_metric_values,omitempty"`
+	// Output only. Tool call valid metric values.
+	ToolCallValidMetricValues []*ToolCallValidMetricValue `protobuf:"bytes,1,rep,name=tool_call_valid_metric_values,json=toolCallValidMetricValues,proto3" json:"tool_call_valid_metric_values,omitempty"`
 }
 
-func (x *ToolParameterKeyMatchResults) Reset() {
-	*x = ToolParameterKeyMatchResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[95]
+func (x *ToolCallValidResults) Reset() {
+	*x = ToolCallValidResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[92]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKeyMatchResults) String() string {
+func (x *ToolCallValidResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKeyMatchResults) ProtoMessage() {}
+func (*ToolCallValidResults) ProtoMessage() {}
 
-func (x *ToolParameterKeyMatchResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[95]
+func (x *ToolCallValidResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[92]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6714,43 +6853,43 @@ func (x *ToolParameterKeyMatchResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKeyMatchResults.ProtoReflect.Descriptor instead.
-func (*ToolParameterKeyMatchResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{95}
+// Deprecated: Use ToolCallValidResults.ProtoReflect.Descriptor instead.
+func (*ToolCallValidResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{92}
 }
 
-func (x *ToolParameterKeyMatchResults) GetToolParameterKeyMatchMetricValues() []*ToolParameterKeyMatchMetricValue {
+func (x *ToolCallValidResults) GetToolCallValidMetricValues() []*ToolCallValidMetricValue {
 	if x != nil {
-		return x.ToolParameterKeyMatchMetricValues
+		return x.ToolCallValidMetricValues
 	}
 	return nil
 }
 
-// Tool parameter key match metric value for an instance.
-type ToolParameterKeyMatchMetricValue struct {
+// Tool call valid metric value for an instance.
+type ToolCallValidMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Tool parameter key match score.
+	// Output only. Tool call valid score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *ToolParameterKeyMatchMetricValue) Reset() {
-	*x = ToolParameterKeyMatchMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[96]
+func (x *ToolCallValidMetricValue) Reset() {
+	*x = ToolCallValidMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[93]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKeyMatchMetricValue) String() string {
+func (x *ToolCallValidMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKeyMatchMetricValue) ProtoMessage() {}
+func (*ToolCallValidMetricValue) ProtoMessage() {}
 
-func (x *ToolParameterKeyMatchMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[96]
+func (x *ToolCallValidMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[93]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6761,45 +6900,45 @@ func (x *ToolParameterKeyMatchMetricValue) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKeyMatchMetricValue.ProtoReflect.Descriptor instead.
-func (*ToolParameterKeyMatchMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{96}
+// Deprecated: Use ToolCallValidMetricValue.ProtoReflect.Descriptor instead.
+func (*ToolCallValidMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{93}
 }
 
-func (x *ToolParameterKeyMatchMetricValue) GetScore() float32 {
+func (x *ToolCallValidMetricValue) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Input for tool parameter key value match metric.
-type ToolParameterKVMatchInput struct {
+// Input for tool name match metric.
+type ToolNameMatchInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for tool parameter key value match metric.
-	MetricSpec *ToolParameterKVMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated tool parameter key value match instances.
-	Instances []*ToolParameterKVMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Required. Spec for tool name match metric.
+	MetricSpec *ToolNameMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated tool name match instances.
+	Instances []*ToolNameMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *ToolParameterKVMatchInput) Reset() {
-	*x = ToolParameterKVMatchInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[97]
+func (x *ToolNameMatchInput) Reset() {
+	*x = ToolNameMatchInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[94]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKVMatchInput) String() string {
+func (x *ToolNameMatchInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKVMatchInput) ProtoMessage() {}
+func (*ToolNameMatchInput) ProtoMessage() {}
 
-func (x *ToolParameterKVMatchInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[97]
+func (x *ToolNameMatchInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[94]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6810,50 +6949,47 @@ func (x *ToolParameterKVMatchInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKVMatchInput.ProtoReflect.Descriptor instead.
-func (*ToolParameterKVMatchInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{97}
+// Deprecated: Use ToolNameMatchInput.ProtoReflect.Descriptor instead.
+func (*ToolNameMatchInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{94}
 }
 
-func (x *ToolParameterKVMatchInput) GetMetricSpec() *ToolParameterKVMatchSpec {
+func (x *ToolNameMatchInput) GetMetricSpec() *ToolNameMatchSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *ToolParameterKVMatchInput) GetInstances() []*ToolParameterKVMatchInstance {
+func (x *ToolNameMatchInput) GetInstances() []*ToolNameMatchInstance {
 	if x != nil {
 		return x.Instances
 	}
 	return nil
 }
 
-// Spec for tool parameter key value match metric.
-type ToolParameterKVMatchSpec struct {
+// Spec for tool name match metric.
+type ToolNameMatchSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
-
-	// Optional. Whether to use STRICT string match on parameter values.
-	UseStrictStringMatch bool `protobuf:"varint,1,opt,name=use_strict_string_match,json=useStrictStringMatch,proto3" json:"use_strict_string_match,omitempty"`
 }
 
-func (x *ToolParameterKVMatchSpec) Reset() {
-	*x = ToolParameterKVMatchSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[98]
+func (x *ToolNameMatchSpec) Reset() {
+	*x = ToolNameMatchSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[95]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKVMatchSpec) String() string {
+func (x *ToolNameMatchSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKVMatchSpec) ProtoMessage() {}
+func (*ToolNameMatchSpec) ProtoMessage() {}
 
-func (x *ToolParameterKVMatchSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[98]
+func (x *ToolNameMatchSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[95]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6864,20 +7000,13 @@ func (x *ToolParameterKVMatchSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKVMatchSpec.ProtoReflect.Descriptor instead.
-func (*ToolParameterKVMatchSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{98}
-}
-
-func (x *ToolParameterKVMatchSpec) GetUseStrictStringMatch() bool {
-	if x != nil {
-		return x.UseStrictStringMatch
-	}
-	return false
+// Deprecated: Use ToolNameMatchSpec.ProtoReflect.Descriptor instead.
+func (*ToolNameMatchSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{95}
 }
 
-// Spec for tool parameter key value match instance.
-type ToolParameterKVMatchInstance struct {
+// Spec for tool name match instance.
+type ToolNameMatchInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -6888,21 +7017,21 @@ type ToolParameterKVMatchInstance struct {
 	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
 }
 
-func (x *ToolParameterKVMatchInstance) Reset() {
-	*x = ToolParameterKVMatchInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[99]
+func (x *ToolNameMatchInstance) Reset() {
+	*x = ToolNameMatchInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[96]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKVMatchInstance) String() string {
+func (x *ToolNameMatchInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKVMatchInstance) ProtoMessage() {}
+func (*ToolNameMatchInstance) ProtoMessage() {}
 
-func (x *ToolParameterKVMatchInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[99]
+func (x *ToolNameMatchInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[96]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6913,50 +7042,50 @@ func (x *ToolParameterKVMatchInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKVMatchInstance.ProtoReflect.Descriptor instead.
-func (*ToolParameterKVMatchInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{99}
+// Deprecated: Use ToolNameMatchInstance.ProtoReflect.Descriptor instead.
+func (*ToolNameMatchInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{96}
 }
 
-func (x *ToolParameterKVMatchInstance) GetPrediction() string {
+func (x *ToolNameMatchInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *ToolParameterKVMatchInstance) GetReference() string {
+func (x *ToolNameMatchInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-// Results for tool parameter key value match metric.
-type ToolParameterKVMatchResults struct {
+// Results for tool name match metric.
+type ToolNameMatchResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Tool parameter key value match metric values.
-	ToolParameterKvMatchMetricValues []*ToolParameterKVMatchMetricValue `protobuf:"bytes,1,rep,name=tool_parameter_kv_match_metric_values,json=toolParameterKvMatchMetricValues,proto3" json:"tool_parameter_kv_match_metric_values,omitempty"`
+	// Output only. Tool name match metric values.
+	ToolNameMatchMetricValues []*ToolNameMatchMetricValue `protobuf:"bytes,1,rep,name=tool_name_match_metric_values,json=toolNameMatchMetricValues,proto3" json:"tool_name_match_metric_values,omitempty"`
 }
 
-func (x *ToolParameterKVMatchResults) Reset() {
-	*x = ToolParameterKVMatchResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[100]
+func (x *ToolNameMatchResults) Reset() {
+	*x = ToolNameMatchResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[97]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKVMatchResults) String() string {
+func (x *ToolNameMatchResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKVMatchResults) ProtoMessage() {}
+func (*ToolNameMatchResults) ProtoMessage() {}
 
-func (x *ToolParameterKVMatchResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[100]
+func (x *ToolNameMatchResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[97]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -6967,43 +7096,43 @@ func (x *ToolParameterKVMatchResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKVMatchResults.ProtoReflect.Descriptor instead.
-func (*ToolParameterKVMatchResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{100}
+// Deprecated: Use ToolNameMatchResults.ProtoReflect.Descriptor instead.
+func (*ToolNameMatchResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{97}
 }
 
-func (x *ToolParameterKVMatchResults) GetToolParameterKvMatchMetricValues() []*ToolParameterKVMatchMetricValue {
+func (x *ToolNameMatchResults) GetToolNameMatchMetricValues() []*ToolNameMatchMetricValue {
 	if x != nil {
-		return x.ToolParameterKvMatchMetricValues
+		return x.ToolNameMatchMetricValues
 	}
 	return nil
 }
 
-// Tool parameter key value match metric value for an instance.
-type ToolParameterKVMatchMetricValue struct {
+// Tool name match metric value for an instance.
+type ToolNameMatchMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Tool parameter key value match score.
+	// Output only. Tool name match score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *ToolParameterKVMatchMetricValue) Reset() {
-	*x = ToolParameterKVMatchMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[101]
+func (x *ToolNameMatchMetricValue) Reset() {
+	*x = ToolNameMatchMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[98]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolParameterKVMatchMetricValue) String() string {
+func (x *ToolNameMatchMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolParameterKVMatchMetricValue) ProtoMessage() {}
+func (*ToolNameMatchMetricValue) ProtoMessage() {}
 
-func (x *ToolParameterKVMatchMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[101]
+func (x *ToolNameMatchMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[98]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7014,45 +7143,45 @@ func (x *ToolParameterKVMatchMetricValue) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolParameterKVMatchMetricValue.ProtoReflect.Descriptor instead.
-func (*ToolParameterKVMatchMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{101}
+// Deprecated: Use ToolNameMatchMetricValue.ProtoReflect.Descriptor instead.
+func (*ToolNameMatchMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{98}
 }
 
-func (x *ToolParameterKVMatchMetricValue) GetScore() float32 {
+func (x *ToolNameMatchMetricValue) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Input for Comet metric.
-type CometInput struct {
+// Input for tool parameter key match metric.
+type ToolParameterKeyMatchInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for comet metric.
-	MetricSpec *CometSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Comet instance.
-	Instance *CometInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for tool parameter key match metric.
+	MetricSpec *ToolParameterKeyMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated tool parameter key match instances.
+	Instances []*ToolParameterKeyMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *CometInput) Reset() {
-	*x = CometInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[102]
+func (x *ToolParameterKeyMatchInput) Reset() {
+	*x = ToolParameterKeyMatchInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[99]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *CometInput) String() string {
+func (x *ToolParameterKeyMatchInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*CometInput) ProtoMessage() {}
+func (*ToolParameterKeyMatchInput) ProtoMessage() {}
 
-func (x *CometInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[102]
+func (x *ToolParameterKeyMatchInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[99]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7063,55 +7192,47 @@ func (x *CometInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use CometInput.ProtoReflect.Descriptor instead.
-func (*CometInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{102}
+// Deprecated: Use ToolParameterKeyMatchInput.ProtoReflect.Descriptor instead.
+func (*ToolParameterKeyMatchInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{99}
 }
 
-func (x *CometInput) GetMetricSpec() *CometSpec {
+func (x *ToolParameterKeyMatchInput) GetMetricSpec() *ToolParameterKeyMatchSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *CometInput) GetInstance() *CometInstance {
+func (x *ToolParameterKeyMatchInput) GetInstances() []*ToolParameterKeyMatchInstance {
 	if x != nil {
-		return x.Instance
+		return x.Instances
 	}
 	return nil
 }
 
-// Spec for Comet metric.
-type CometSpec struct {
+// Spec for tool parameter key match metric.
+type ToolParameterKeyMatchSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
-
-	// Required. Which version to use for evaluation.
-	Version *CometSpec_CometVersion `protobuf:"varint,1,opt,name=version,proto3,enum=google.cloud.aiplatform.v1beta1.CometSpec_CometVersion,oneof" json:"version,omitempty"`
-	// Optional. Source language in BCP-47 format.
-	SourceLanguage string `protobuf:"bytes,2,opt,name=source_language,json=sourceLanguage,proto3" json:"source_language,omitempty"`
-	// Optional. Target language in BCP-47 format. Covers both prediction and
-	// reference.
-	TargetLanguage string `protobuf:"bytes,3,opt,name=target_language,json=targetLanguage,proto3" json:"target_language,omitempty"`
 }
 
-func (x *CometSpec) Reset() {
-	*x = CometSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[103]
+func (x *ToolParameterKeyMatchSpec) Reset() {
+	*x = ToolParameterKeyMatchSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[100]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *CometSpec) String() string {
+func (x *ToolParameterKeyMatchSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*CometSpec) ProtoMessage() {}
+func (*ToolParameterKeyMatchSpec) ProtoMessage() {}
 
-func (x *CometSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[103]
+func (x *ToolParameterKeyMatchSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[100]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7122,62 +7243,38 @@ func (x *CometSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use CometSpec.ProtoReflect.Descriptor instead.
-func (*CometSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{103}
-}
-
-func (x *CometSpec) GetVersion() CometSpec_CometVersion {
-	if x != nil && x.Version != nil {
-		return *x.Version
-	}
-	return CometSpec_COMET_VERSION_UNSPECIFIED
-}
-
-func (x *CometSpec) GetSourceLanguage() string {
-	if x != nil {
-		return x.SourceLanguage
-	}
-	return ""
-}
-
-func (x *CometSpec) GetTargetLanguage() string {
-	if x != nil {
-		return x.TargetLanguage
-	}
-	return ""
+// Deprecated: Use ToolParameterKeyMatchSpec.ProtoReflect.Descriptor instead.
+func (*ToolParameterKeyMatchSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{100}
 }
 
-// Spec for Comet instance - The fields used for evaluation are dependent on the
-// comet version.
-type CometInstance struct {
+// Spec for tool parameter key match instance.
+type ToolParameterKeyMatchInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Required. Output of the evaluated model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Optional. Ground truth used to compare against the prediction.
+	// Required. Ground truth used to compare against the prediction.
 	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
-	// Optional. Source text in original language.
-	Source *string `protobuf:"bytes,3,opt,name=source,proto3,oneof" json:"source,omitempty"`
 }
 
-func (x *CometInstance) Reset() {
-	*x = CometInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[104]
+func (x *ToolParameterKeyMatchInstance) Reset() {
+	*x = ToolParameterKeyMatchInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[101]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *CometInstance) String() string {
+func (x *ToolParameterKeyMatchInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*CometInstance) ProtoMessage() {}
+func (*ToolParameterKeyMatchInstance) ProtoMessage() {}
 
-func (x *CometInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[104]
+func (x *ToolParameterKeyMatchInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[101]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7188,58 +7285,97 @@ func (x *CometInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use CometInstance.ProtoReflect.Descriptor instead.
-func (*CometInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{104}
+// Deprecated: Use ToolParameterKeyMatchInstance.ProtoReflect.Descriptor instead.
+func (*ToolParameterKeyMatchInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{101}
 }
 
-func (x *CometInstance) GetPrediction() string {
+func (x *ToolParameterKeyMatchInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *CometInstance) GetReference() string {
+func (x *ToolParameterKeyMatchInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-func (x *CometInstance) GetSource() string {
-	if x != nil && x.Source != nil {
-		return *x.Source
+// Results for tool parameter key match metric.
+type ToolParameterKeyMatchResults struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Output only. Tool parameter key match metric values.
+	ToolParameterKeyMatchMetricValues []*ToolParameterKeyMatchMetricValue `protobuf:"bytes,1,rep,name=tool_parameter_key_match_metric_values,json=toolParameterKeyMatchMetricValues,proto3" json:"tool_parameter_key_match_metric_values,omitempty"`
+}
+
+func (x *ToolParameterKeyMatchResults) Reset() {
+	*x = ToolParameterKeyMatchResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[102]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *ToolParameterKeyMatchResults) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*ToolParameterKeyMatchResults) ProtoMessage() {}
+
+func (x *ToolParameterKeyMatchResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[102]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
 	}
-	return ""
+	return mi.MessageOf(x)
 }
 
-// Spec for Comet result - calculates the comet score for the given instance
-// using the version specified in the spec.
-type CometResult struct {
+// Deprecated: Use ToolParameterKeyMatchResults.ProtoReflect.Descriptor instead.
+func (*ToolParameterKeyMatchResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{102}
+}
+
+func (x *ToolParameterKeyMatchResults) GetToolParameterKeyMatchMetricValues() []*ToolParameterKeyMatchMetricValue {
+	if x != nil {
+		return x.ToolParameterKeyMatchMetricValues
+	}
+	return nil
+}
+
+// Tool parameter key match metric value for an instance.
+type ToolParameterKeyMatchMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. Comet score. Range depends on version.
+	// Output only. Tool parameter key match score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *CometResult) Reset() {
-	*x = CometResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[105]
+func (x *ToolParameterKeyMatchMetricValue) Reset() {
+	*x = ToolParameterKeyMatchMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[103]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *CometResult) String() string {
+func (x *ToolParameterKeyMatchMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*CometResult) ProtoMessage() {}
+func (*ToolParameterKeyMatchMetricValue) ProtoMessage() {}
 
-func (x *CometResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[105]
+func (x *ToolParameterKeyMatchMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[103]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7250,45 +7386,45 @@ func (x *CometResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use CometResult.ProtoReflect.Descriptor instead.
-func (*CometResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{105}
+// Deprecated: Use ToolParameterKeyMatchMetricValue.ProtoReflect.Descriptor instead.
+func (*ToolParameterKeyMatchMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{103}
 }
 
-func (x *CometResult) GetScore() float32 {
+func (x *ToolParameterKeyMatchMetricValue) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Input for MetricX metric.
-type MetricxInput struct {
+// Input for tool parameter key value match metric.
+type ToolParameterKVMatchInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for Metricx metric.
-	MetricSpec *MetricxSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Metricx instance.
-	Instance *MetricxInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
+	// Required. Spec for tool parameter key value match metric.
+	MetricSpec *ToolParameterKVMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated tool parameter key value match instances.
+	Instances []*ToolParameterKVMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *MetricxInput) Reset() {
-	*x = MetricxInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[106]
+func (x *ToolParameterKVMatchInput) Reset() {
+	*x = ToolParameterKVMatchInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[104]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *MetricxInput) String() string {
+func (x *ToolParameterKVMatchInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*MetricxInput) ProtoMessage() {}
+func (*ToolParameterKVMatchInput) ProtoMessage() {}
 
-func (x *MetricxInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[106]
+func (x *ToolParameterKVMatchInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[104]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7299,55 +7435,50 @@ func (x *MetricxInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use MetricxInput.ProtoReflect.Descriptor instead.
-func (*MetricxInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{106}
+// Deprecated: Use ToolParameterKVMatchInput.ProtoReflect.Descriptor instead.
+func (*ToolParameterKVMatchInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{104}
 }
 
-func (x *MetricxInput) GetMetricSpec() *MetricxSpec {
+func (x *ToolParameterKVMatchInput) GetMetricSpec() *ToolParameterKVMatchSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *MetricxInput) GetInstance() *MetricxInstance {
+func (x *ToolParameterKVMatchInput) GetInstances() []*ToolParameterKVMatchInstance {
 	if x != nil {
-		return x.Instance
+		return x.Instances
 	}
 	return nil
 }
 
-// Spec for MetricX metric.
-type MetricxSpec struct {
+// Spec for tool parameter key value match metric.
+type ToolParameterKVMatchSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Which version to use for evaluation.
-	Version *MetricxSpec_MetricxVersion `protobuf:"varint,1,opt,name=version,proto3,enum=google.cloud.aiplatform.v1beta1.MetricxSpec_MetricxVersion,oneof" json:"version,omitempty"`
-	// Optional. Source language in BCP-47 format.
-	SourceLanguage string `protobuf:"bytes,2,opt,name=source_language,json=sourceLanguage,proto3" json:"source_language,omitempty"`
-	// Optional. Target language in BCP-47 format. Covers both prediction and
-	// reference.
-	TargetLanguage string `protobuf:"bytes,3,opt,name=target_language,json=targetLanguage,proto3" json:"target_language,omitempty"`
+	// Optional. Whether to use STRICT string match on parameter values.
+	UseStrictStringMatch bool `protobuf:"varint,1,opt,name=use_strict_string_match,json=useStrictStringMatch,proto3" json:"use_strict_string_match,omitempty"`
 }
 
-func (x *MetricxSpec) Reset() {
-	*x = MetricxSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[107]
+func (x *ToolParameterKVMatchSpec) Reset() {
+	*x = ToolParameterKVMatchSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[105]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *MetricxSpec) String() string {
+func (x *ToolParameterKVMatchSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*MetricxSpec) ProtoMessage() {}
+func (*ToolParameterKVMatchSpec) ProtoMessage() {}
 
-func (x *MetricxSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[107]
+func (x *ToolParameterKVMatchSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[105]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7358,62 +7489,45 @@ func (x *MetricxSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use MetricxSpec.ProtoReflect.Descriptor instead.
-func (*MetricxSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{107}
-}
-
-func (x *MetricxSpec) GetVersion() MetricxSpec_MetricxVersion {
-	if x != nil && x.Version != nil {
-		return *x.Version
-	}
-	return MetricxSpec_METRICX_VERSION_UNSPECIFIED
-}
-
-func (x *MetricxSpec) GetSourceLanguage() string {
-	if x != nil {
-		return x.SourceLanguage
-	}
-	return ""
+// Deprecated: Use ToolParameterKVMatchSpec.ProtoReflect.Descriptor instead.
+func (*ToolParameterKVMatchSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{105}
 }
 
-func (x *MetricxSpec) GetTargetLanguage() string {
+func (x *ToolParameterKVMatchSpec) GetUseStrictStringMatch() bool {
 	if x != nil {
-		return x.TargetLanguage
+		return x.UseStrictStringMatch
 	}
-	return ""
+	return false
 }
 
-// Spec for MetricX instance - The fields used for evaluation are dependent on
-// the MetricX version.
-type MetricxInstance struct {
+// Spec for tool parameter key value match instance.
+type ToolParameterKVMatchInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Required. Output of the evaluated model.
 	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
-	// Optional. Ground truth used to compare against the prediction.
+	// Required. Ground truth used to compare against the prediction.
 	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
-	// Optional. Source text in original language.
-	Source *string `protobuf:"bytes,3,opt,name=source,proto3,oneof" json:"source,omitempty"`
 }
 
-func (x *MetricxInstance) Reset() {
-	*x = MetricxInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[108]
+func (x *ToolParameterKVMatchInstance) Reset() {
+	*x = ToolParameterKVMatchInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[106]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *MetricxInstance) String() string {
+func (x *ToolParameterKVMatchInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*MetricxInstance) ProtoMessage() {}
+func (*ToolParameterKVMatchInstance) ProtoMessage() {}
 
-func (x *MetricxInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[108]
+func (x *ToolParameterKVMatchInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[106]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7424,58 +7538,50 @@ func (x *MetricxInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use MetricxInstance.ProtoReflect.Descriptor instead.
-func (*MetricxInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{108}
+// Deprecated: Use ToolParameterKVMatchInstance.ProtoReflect.Descriptor instead.
+func (*ToolParameterKVMatchInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{106}
 }
 
-func (x *MetricxInstance) GetPrediction() string {
+func (x *ToolParameterKVMatchInstance) GetPrediction() string {
 	if x != nil && x.Prediction != nil {
 		return *x.Prediction
 	}
 	return ""
 }
 
-func (x *MetricxInstance) GetReference() string {
+func (x *ToolParameterKVMatchInstance) GetReference() string {
 	if x != nil && x.Reference != nil {
 		return *x.Reference
 	}
 	return ""
 }
 
-func (x *MetricxInstance) GetSource() string {
-	if x != nil && x.Source != nil {
-		return *x.Source
-	}
-	return ""
-}
-
-// Spec for MetricX result - calculates the MetricX score for the given instance
-// using the version specified in the spec.
-type MetricxResult struct {
+// Results for tool parameter key value match metric.
+type ToolParameterKVMatchResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. MetricX score. Range depends on version.
-	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+	// Output only. Tool parameter key value match metric values.
+	ToolParameterKvMatchMetricValues []*ToolParameterKVMatchMetricValue `protobuf:"bytes,1,rep,name=tool_parameter_kv_match_metric_values,json=toolParameterKvMatchMetricValues,proto3" json:"tool_parameter_kv_match_metric_values,omitempty"`
 }
 
-func (x *MetricxResult) Reset() {
-	*x = MetricxResult{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[109]
+func (x *ToolParameterKVMatchResults) Reset() {
+	*x = ToolParameterKVMatchResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[107]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *MetricxResult) String() string {
+func (x *ToolParameterKVMatchResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*MetricxResult) ProtoMessage() {}
+func (*ToolParameterKVMatchResults) ProtoMessage() {}
 
-func (x *MetricxResult) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[109]
+func (x *ToolParameterKVMatchResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[107]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7486,45 +7592,43 @@ func (x *MetricxResult) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use MetricxResult.ProtoReflect.Descriptor instead.
-func (*MetricxResult) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{109}
+// Deprecated: Use ToolParameterKVMatchResults.ProtoReflect.Descriptor instead.
+func (*ToolParameterKVMatchResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{107}
 }
 
-func (x *MetricxResult) GetScore() float32 {
-	if x != nil && x.Score != nil {
-		return *x.Score
+func (x *ToolParameterKVMatchResults) GetToolParameterKvMatchMetricValues() []*ToolParameterKVMatchMetricValue {
+	if x != nil {
+		return x.ToolParameterKvMatchMetricValues
 	}
-	return 0
+	return nil
 }
 
-// Instances and metric spec for TrajectoryExactMatch metric.
-type TrajectoryExactMatchInput struct {
+// Tool parameter key value match metric value for an instance.
+type ToolParameterKVMatchMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for TrajectoryExactMatch metric.
-	MetricSpec *TrajectoryExactMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated TrajectoryExactMatch instance.
-	Instances []*TrajectoryExactMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Output only. Tool parameter key value match score.
+	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *TrajectoryExactMatchInput) Reset() {
-	*x = TrajectoryExactMatchInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[110]
+func (x *ToolParameterKVMatchMetricValue) Reset() {
+	*x = ToolParameterKVMatchMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[108]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryExactMatchInput) String() string {
+func (x *ToolParameterKVMatchMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryExactMatchInput) ProtoMessage() {}
+func (*ToolParameterKVMatchMetricValue) ProtoMessage() {}
 
-func (x *TrajectoryExactMatchInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[110]
+func (x *ToolParameterKVMatchMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[108]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7535,48 +7639,45 @@ func (x *TrajectoryExactMatchInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryExactMatchInput.ProtoReflect.Descriptor instead.
-func (*TrajectoryExactMatchInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{110}
-}
-
-func (x *TrajectoryExactMatchInput) GetMetricSpec() *TrajectoryExactMatchSpec {
-	if x != nil {
-		return x.MetricSpec
-	}
-	return nil
+// Deprecated: Use ToolParameterKVMatchMetricValue.ProtoReflect.Descriptor instead.
+func (*ToolParameterKVMatchMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{108}
 }
 
-func (x *TrajectoryExactMatchInput) GetInstances() []*TrajectoryExactMatchInstance {
-	if x != nil {
-		return x.Instances
+func (x *ToolParameterKVMatchMetricValue) GetScore() float32 {
+	if x != nil && x.Score != nil {
+		return *x.Score
 	}
-	return nil
+	return 0
 }
 
-// Spec for TrajectoryExactMatch metric - returns 1 if tool calls in the
-// reference trajectory exactly match the predicted trajectory, else 0.
-type TrajectoryExactMatchSpec struct {
+// Input for Comet metric.
+type CometInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
+
+	// Required. Spec for comet metric.
+	MetricSpec *CometSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Comet instance.
+	Instance *CometInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *TrajectoryExactMatchSpec) Reset() {
-	*x = TrajectoryExactMatchSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[111]
+func (x *CometInput) Reset() {
+	*x = CometInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[109]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryExactMatchSpec) String() string {
+func (x *CometInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryExactMatchSpec) ProtoMessage() {}
+func (*CometInput) ProtoMessage() {}
 
-func (x *TrajectoryExactMatchSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[111]
+func (x *CometInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[109]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7587,38 +7688,55 @@ func (x *TrajectoryExactMatchSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryExactMatchSpec.ProtoReflect.Descriptor instead.
-func (*TrajectoryExactMatchSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{111}
+// Deprecated: Use CometInput.ProtoReflect.Descriptor instead.
+func (*CometInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{109}
 }
 
-// Spec for TrajectoryExactMatch instance.
-type TrajectoryExactMatchInstance struct {
+func (x *CometInput) GetMetricSpec() *CometSpec {
+	if x != nil {
+		return x.MetricSpec
+	}
+	return nil
+}
+
+func (x *CometInput) GetInstance() *CometInstance {
+	if x != nil {
+		return x.Instance
+	}
+	return nil
+}
+
+// Spec for Comet metric.
+type CometSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for predicted tool call trajectory.
-	PredictedTrajectory *Trajectory `protobuf:"bytes,1,opt,name=predicted_trajectory,json=predictedTrajectory,proto3,oneof" json:"predicted_trajectory,omitempty"`
-	// Required. Spec for reference tool call trajectory.
-	ReferenceTrajectory *Trajectory `protobuf:"bytes,2,opt,name=reference_trajectory,json=referenceTrajectory,proto3,oneof" json:"reference_trajectory,omitempty"`
+	// Required. Which version to use for evaluation.
+	Version *CometSpec_CometVersion `protobuf:"varint,1,opt,name=version,proto3,enum=google.cloud.aiplatform.v1beta1.CometSpec_CometVersion,oneof" json:"version,omitempty"`
+	// Optional. Source language in BCP-47 format.
+	SourceLanguage string `protobuf:"bytes,2,opt,name=source_language,json=sourceLanguage,proto3" json:"source_language,omitempty"`
+	// Optional. Target language in BCP-47 format. Covers both prediction and
+	// reference.
+	TargetLanguage string `protobuf:"bytes,3,opt,name=target_language,json=targetLanguage,proto3" json:"target_language,omitempty"`
 }
 
-func (x *TrajectoryExactMatchInstance) Reset() {
-	*x = TrajectoryExactMatchInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[112]
+func (x *CometSpec) Reset() {
+	*x = CometSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[110]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryExactMatchInstance) String() string {
+func (x *CometSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryExactMatchInstance) ProtoMessage() {}
+func (*CometSpec) ProtoMessage() {}
 
-func (x *TrajectoryExactMatchInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[112]
+func (x *CometSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[110]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7629,50 +7747,62 @@ func (x *TrajectoryExactMatchInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryExactMatchInstance.ProtoReflect.Descriptor instead.
-func (*TrajectoryExactMatchInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{112}
+// Deprecated: Use CometSpec.ProtoReflect.Descriptor instead.
+func (*CometSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{110}
 }
 
-func (x *TrajectoryExactMatchInstance) GetPredictedTrajectory() *Trajectory {
+func (x *CometSpec) GetVersion() CometSpec_CometVersion {
+	if x != nil && x.Version != nil {
+		return *x.Version
+	}
+	return CometSpec_COMET_VERSION_UNSPECIFIED
+}
+
+func (x *CometSpec) GetSourceLanguage() string {
 	if x != nil {
-		return x.PredictedTrajectory
+		return x.SourceLanguage
 	}
-	return nil
+	return ""
 }
 
-func (x *TrajectoryExactMatchInstance) GetReferenceTrajectory() *Trajectory {
+func (x *CometSpec) GetTargetLanguage() string {
 	if x != nil {
-		return x.ReferenceTrajectory
+		return x.TargetLanguage
 	}
-	return nil
+	return ""
 }
 
-// Results for TrajectoryExactMatch metric.
-type TrajectoryExactMatchResults struct {
+// Spec for Comet instance - The fields used for evaluation are dependent on the
+// comet version.
+type CometInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryExactMatch metric values.
-	TrajectoryExactMatchMetricValues []*TrajectoryExactMatchMetricValue `protobuf:"bytes,1,rep,name=trajectory_exact_match_metric_values,json=trajectoryExactMatchMetricValues,proto3" json:"trajectory_exact_match_metric_values,omitempty"`
+	// Required. Output of the evaluated model.
+	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Optional. Ground truth used to compare against the prediction.
+	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+	// Optional. Source text in original language.
+	Source *string `protobuf:"bytes,3,opt,name=source,proto3,oneof" json:"source,omitempty"`
 }
 
-func (x *TrajectoryExactMatchResults) Reset() {
-	*x = TrajectoryExactMatchResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[113]
+func (x *CometInstance) Reset() {
+	*x = CometInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[111]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryExactMatchResults) String() string {
+func (x *CometInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryExactMatchResults) ProtoMessage() {}
+func (*CometInstance) ProtoMessage() {}
 
-func (x *TrajectoryExactMatchResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[113]
+func (x *CometInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[111]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7683,43 +7813,58 @@ func (x *TrajectoryExactMatchResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryExactMatchResults.ProtoReflect.Descriptor instead.
-func (*TrajectoryExactMatchResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{113}
+// Deprecated: Use CometInstance.ProtoReflect.Descriptor instead.
+func (*CometInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{111}
 }
 
-func (x *TrajectoryExactMatchResults) GetTrajectoryExactMatchMetricValues() []*TrajectoryExactMatchMetricValue {
-	if x != nil {
-		return x.TrajectoryExactMatchMetricValues
+func (x *CometInstance) GetPrediction() string {
+	if x != nil && x.Prediction != nil {
+		return *x.Prediction
 	}
-	return nil
+	return ""
 }
 
-// TrajectoryExactMatch metric value for an instance.
-type TrajectoryExactMatchMetricValue struct {
+func (x *CometInstance) GetReference() string {
+	if x != nil && x.Reference != nil {
+		return *x.Reference
+	}
+	return ""
+}
+
+func (x *CometInstance) GetSource() string {
+	if x != nil && x.Source != nil {
+		return *x.Source
+	}
+	return ""
+}
+
+// Spec for Comet result - calculates the comet score for the given instance
+// using the version specified in the spec.
+type CometResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryExactMatch score.
+	// Output only. Comet score. Range depends on version.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *TrajectoryExactMatchMetricValue) Reset() {
-	*x = TrajectoryExactMatchMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[114]
+func (x *CometResult) Reset() {
+	*x = CometResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[112]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryExactMatchMetricValue) String() string {
+func (x *CometResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryExactMatchMetricValue) ProtoMessage() {}
+func (*CometResult) ProtoMessage() {}
 
-func (x *TrajectoryExactMatchMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[114]
+func (x *CometResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[112]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7730,45 +7875,45 @@ func (x *TrajectoryExactMatchMetricValue) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryExactMatchMetricValue.ProtoReflect.Descriptor instead.
-func (*TrajectoryExactMatchMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{114}
+// Deprecated: Use CometResult.ProtoReflect.Descriptor instead.
+func (*CometResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{112}
 }
 
-func (x *TrajectoryExactMatchMetricValue) GetScore() float32 {
+func (x *CometResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Instances and metric spec for TrajectoryInOrderMatch metric.
-type TrajectoryInOrderMatchInput struct {
+// Input for MetricX metric.
+type MetricxInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for TrajectoryInOrderMatch metric.
-	MetricSpec *TrajectoryInOrderMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated TrajectoryInOrderMatch instance.
-	Instances []*TrajectoryInOrderMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Required. Spec for Metricx metric.
+	MetricSpec *MetricxSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Metricx instance.
+	Instance *MetricxInstance `protobuf:"bytes,2,opt,name=instance,proto3" json:"instance,omitempty"`
 }
 
-func (x *TrajectoryInOrderMatchInput) Reset() {
-	*x = TrajectoryInOrderMatchInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[115]
+func (x *MetricxInput) Reset() {
+	*x = MetricxInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[113]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryInOrderMatchInput) String() string {
+func (x *MetricxInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryInOrderMatchInput) ProtoMessage() {}
+func (*MetricxInput) ProtoMessage() {}
 
-func (x *TrajectoryInOrderMatchInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[115]
+func (x *MetricxInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[113]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7779,49 +7924,55 @@ func (x *TrajectoryInOrderMatchInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryInOrderMatchInput.ProtoReflect.Descriptor instead.
-func (*TrajectoryInOrderMatchInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{115}
+// Deprecated: Use MetricxInput.ProtoReflect.Descriptor instead.
+func (*MetricxInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{113}
 }
 
-func (x *TrajectoryInOrderMatchInput) GetMetricSpec() *TrajectoryInOrderMatchSpec {
+func (x *MetricxInput) GetMetricSpec() *MetricxSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *TrajectoryInOrderMatchInput) GetInstances() []*TrajectoryInOrderMatchInstance {
+func (x *MetricxInput) GetInstance() *MetricxInstance {
 	if x != nil {
-		return x.Instances
+		return x.Instance
 	}
 	return nil
 }
 
-// Spec for TrajectoryInOrderMatch metric - returns 1 if tool calls in the
-// reference trajectory appear in the predicted trajectory in the same order,
-// else 0.
-type TrajectoryInOrderMatchSpec struct {
+// Spec for MetricX metric.
+type MetricxSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
+
+	// Required. Which version to use for evaluation.
+	Version *MetricxSpec_MetricxVersion `protobuf:"varint,1,opt,name=version,proto3,enum=google.cloud.aiplatform.v1beta1.MetricxSpec_MetricxVersion,oneof" json:"version,omitempty"`
+	// Optional. Source language in BCP-47 format.
+	SourceLanguage string `protobuf:"bytes,2,opt,name=source_language,json=sourceLanguage,proto3" json:"source_language,omitempty"`
+	// Optional. Target language in BCP-47 format. Covers both prediction and
+	// reference.
+	TargetLanguage string `protobuf:"bytes,3,opt,name=target_language,json=targetLanguage,proto3" json:"target_language,omitempty"`
 }
 
-func (x *TrajectoryInOrderMatchSpec) Reset() {
-	*x = TrajectoryInOrderMatchSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[116]
+func (x *MetricxSpec) Reset() {
+	*x = MetricxSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[114]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryInOrderMatchSpec) String() string {
+func (x *MetricxSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryInOrderMatchSpec) ProtoMessage() {}
+func (*MetricxSpec) ProtoMessage() {}
 
-func (x *TrajectoryInOrderMatchSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[116]
+func (x *MetricxSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[114]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7832,92 +7983,62 @@ func (x *TrajectoryInOrderMatchSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryInOrderMatchSpec.ProtoReflect.Descriptor instead.
-func (*TrajectoryInOrderMatchSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{116}
-}
-
-// Spec for TrajectoryInOrderMatch instance.
-type TrajectoryInOrderMatchInstance struct {
-	state         protoimpl.MessageState
-	sizeCache     protoimpl.SizeCache
-	unknownFields protoimpl.UnknownFields
-
-	// Required. Spec for predicted tool call trajectory.
-	PredictedTrajectory *Trajectory `protobuf:"bytes,1,opt,name=predicted_trajectory,json=predictedTrajectory,proto3,oneof" json:"predicted_trajectory,omitempty"`
-	// Required. Spec for reference tool call trajectory.
-	ReferenceTrajectory *Trajectory `protobuf:"bytes,2,opt,name=reference_trajectory,json=referenceTrajectory,proto3,oneof" json:"reference_trajectory,omitempty"`
-}
-
-func (x *TrajectoryInOrderMatchInstance) Reset() {
-	*x = TrajectoryInOrderMatchInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[117]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-	ms.StoreMessageInfo(mi)
-}
-
-func (x *TrajectoryInOrderMatchInstance) String() string {
-	return protoimpl.X.MessageStringOf(x)
+// Deprecated: Use MetricxSpec.ProtoReflect.Descriptor instead.
+func (*MetricxSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{114}
 }
 
-func (*TrajectoryInOrderMatchInstance) ProtoMessage() {}
-
-func (x *TrajectoryInOrderMatchInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[117]
-	if x != nil {
-		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
-		if ms.LoadMessageInfo() == nil {
-			ms.StoreMessageInfo(mi)
-		}
-		return ms
+func (x *MetricxSpec) GetVersion() MetricxSpec_MetricxVersion {
+	if x != nil && x.Version != nil {
+		return *x.Version
 	}
-	return mi.MessageOf(x)
-}
-
-// Deprecated: Use TrajectoryInOrderMatchInstance.ProtoReflect.Descriptor instead.
-func (*TrajectoryInOrderMatchInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{117}
+	return MetricxSpec_METRICX_VERSION_UNSPECIFIED
 }
 
-func (x *TrajectoryInOrderMatchInstance) GetPredictedTrajectory() *Trajectory {
+func (x *MetricxSpec) GetSourceLanguage() string {
 	if x != nil {
-		return x.PredictedTrajectory
+		return x.SourceLanguage
 	}
-	return nil
+	return ""
 }
 
-func (x *TrajectoryInOrderMatchInstance) GetReferenceTrajectory() *Trajectory {
+func (x *MetricxSpec) GetTargetLanguage() string {
 	if x != nil {
-		return x.ReferenceTrajectory
+		return x.TargetLanguage
 	}
-	return nil
+	return ""
 }
 
-// Results for TrajectoryInOrderMatch metric.
-type TrajectoryInOrderMatchResults struct {
+// Spec for MetricX instance - The fields used for evaluation are dependent on
+// the MetricX version.
+type MetricxInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryInOrderMatch metric values.
-	TrajectoryInOrderMatchMetricValues []*TrajectoryInOrderMatchMetricValue `protobuf:"bytes,1,rep,name=trajectory_in_order_match_metric_values,json=trajectoryInOrderMatchMetricValues,proto3" json:"trajectory_in_order_match_metric_values,omitempty"`
+	// Required. Output of the evaluated model.
+	Prediction *string `protobuf:"bytes,1,opt,name=prediction,proto3,oneof" json:"prediction,omitempty"`
+	// Optional. Ground truth used to compare against the prediction.
+	Reference *string `protobuf:"bytes,2,opt,name=reference,proto3,oneof" json:"reference,omitempty"`
+	// Optional. Source text in original language.
+	Source *string `protobuf:"bytes,3,opt,name=source,proto3,oneof" json:"source,omitempty"`
 }
 
-func (x *TrajectoryInOrderMatchResults) Reset() {
-	*x = TrajectoryInOrderMatchResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[118]
+func (x *MetricxInstance) Reset() {
+	*x = MetricxInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[115]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryInOrderMatchResults) String() string {
+func (x *MetricxInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryInOrderMatchResults) ProtoMessage() {}
+func (*MetricxInstance) ProtoMessage() {}
 
-func (x *TrajectoryInOrderMatchResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[118]
+func (x *MetricxInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[115]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7928,43 +8049,58 @@ func (x *TrajectoryInOrderMatchResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryInOrderMatchResults.ProtoReflect.Descriptor instead.
-func (*TrajectoryInOrderMatchResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{118}
+// Deprecated: Use MetricxInstance.ProtoReflect.Descriptor instead.
+func (*MetricxInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{115}
 }
 
-func (x *TrajectoryInOrderMatchResults) GetTrajectoryInOrderMatchMetricValues() []*TrajectoryInOrderMatchMetricValue {
-	if x != nil {
-		return x.TrajectoryInOrderMatchMetricValues
+func (x *MetricxInstance) GetPrediction() string {
+	if x != nil && x.Prediction != nil {
+		return *x.Prediction
 	}
-	return nil
+	return ""
 }
 
-// TrajectoryInOrderMatch metric value for an instance.
-type TrajectoryInOrderMatchMetricValue struct {
+func (x *MetricxInstance) GetReference() string {
+	if x != nil && x.Reference != nil {
+		return *x.Reference
+	}
+	return ""
+}
+
+func (x *MetricxInstance) GetSource() string {
+	if x != nil && x.Source != nil {
+		return *x.Source
+	}
+	return ""
+}
+
+// Spec for MetricX result - calculates the MetricX score for the given instance
+// using the version specified in the spec.
+type MetricxResult struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryInOrderMatch score.
+	// Output only. MetricX score. Range depends on version.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *TrajectoryInOrderMatchMetricValue) Reset() {
-	*x = TrajectoryInOrderMatchMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[119]
+func (x *MetricxResult) Reset() {
+	*x = MetricxResult{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[116]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryInOrderMatchMetricValue) String() string {
+func (x *MetricxResult) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryInOrderMatchMetricValue) ProtoMessage() {}
+func (*MetricxResult) ProtoMessage() {}
 
-func (x *TrajectoryInOrderMatchMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[119]
+func (x *MetricxResult) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[116]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -7975,45 +8111,45 @@ func (x *TrajectoryInOrderMatchMetricValue) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryInOrderMatchMetricValue.ProtoReflect.Descriptor instead.
-func (*TrajectoryInOrderMatchMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{119}
+// Deprecated: Use MetricxResult.ProtoReflect.Descriptor instead.
+func (*MetricxResult) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{116}
 }
 
-func (x *TrajectoryInOrderMatchMetricValue) GetScore() float32 {
+func (x *MetricxResult) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Instances and metric spec for TrajectoryAnyOrderMatch metric.
-type TrajectoryAnyOrderMatchInput struct {
+// Instances and metric spec for TrajectoryExactMatch metric.
+type TrajectoryExactMatchInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for TrajectoryAnyOrderMatch metric.
-	MetricSpec *TrajectoryAnyOrderMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated TrajectoryAnyOrderMatch instance.
-	Instances []*TrajectoryAnyOrderMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Required. Spec for TrajectoryExactMatch metric.
+	MetricSpec *TrajectoryExactMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated TrajectoryExactMatch instance.
+	Instances []*TrajectoryExactMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *TrajectoryAnyOrderMatchInput) Reset() {
-	*x = TrajectoryAnyOrderMatchInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[120]
+func (x *TrajectoryExactMatchInput) Reset() {
+	*x = TrajectoryExactMatchInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[117]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryAnyOrderMatchInput) String() string {
+func (x *TrajectoryExactMatchInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryAnyOrderMatchInput) ProtoMessage() {}
+func (*TrajectoryExactMatchInput) ProtoMessage() {}
 
-func (x *TrajectoryAnyOrderMatchInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[120]
+func (x *TrajectoryExactMatchInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[117]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8024,49 +8160,48 @@ func (x *TrajectoryAnyOrderMatchInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryAnyOrderMatchInput.ProtoReflect.Descriptor instead.
-func (*TrajectoryAnyOrderMatchInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{120}
-}
+// Deprecated: Use TrajectoryExactMatchInput.ProtoReflect.Descriptor instead.
+func (*TrajectoryExactMatchInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{117}
+}
 
-func (x *TrajectoryAnyOrderMatchInput) GetMetricSpec() *TrajectoryAnyOrderMatchSpec {
+func (x *TrajectoryExactMatchInput) GetMetricSpec() *TrajectoryExactMatchSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *TrajectoryAnyOrderMatchInput) GetInstances() []*TrajectoryAnyOrderMatchInstance {
+func (x *TrajectoryExactMatchInput) GetInstances() []*TrajectoryExactMatchInstance {
 	if x != nil {
 		return x.Instances
 	}
 	return nil
 }
 
-// Spec for TrajectoryAnyOrderMatch metric - returns 1 if all tool calls in the
-// reference trajectory appear in the predicted trajectory in any order, else
-// 0.
-type TrajectoryAnyOrderMatchSpec struct {
+// Spec for TrajectoryExactMatch metric - returns 1 if tool calls in the
+// reference trajectory exactly match the predicted trajectory, else 0.
+type TrajectoryExactMatchSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 }
 
-func (x *TrajectoryAnyOrderMatchSpec) Reset() {
-	*x = TrajectoryAnyOrderMatchSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[121]
+func (x *TrajectoryExactMatchSpec) Reset() {
+	*x = TrajectoryExactMatchSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[118]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryAnyOrderMatchSpec) String() string {
+func (x *TrajectoryExactMatchSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryAnyOrderMatchSpec) ProtoMessage() {}
+func (*TrajectoryExactMatchSpec) ProtoMessage() {}
 
-func (x *TrajectoryAnyOrderMatchSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[121]
+func (x *TrajectoryExactMatchSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[118]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8077,13 +8212,13 @@ func (x *TrajectoryAnyOrderMatchSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryAnyOrderMatchSpec.ProtoReflect.Descriptor instead.
-func (*TrajectoryAnyOrderMatchSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{121}
+// Deprecated: Use TrajectoryExactMatchSpec.ProtoReflect.Descriptor instead.
+func (*TrajectoryExactMatchSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{118}
 }
 
-// Spec for TrajectoryAnyOrderMatch instance.
-type TrajectoryAnyOrderMatchInstance struct {
+// Spec for TrajectoryExactMatch instance.
+type TrajectoryExactMatchInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -8094,21 +8229,21 @@ type TrajectoryAnyOrderMatchInstance struct {
 	ReferenceTrajectory *Trajectory `protobuf:"bytes,2,opt,name=reference_trajectory,json=referenceTrajectory,proto3,oneof" json:"reference_trajectory,omitempty"`
 }
 
-func (x *TrajectoryAnyOrderMatchInstance) Reset() {
-	*x = TrajectoryAnyOrderMatchInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[122]
+func (x *TrajectoryExactMatchInstance) Reset() {
+	*x = TrajectoryExactMatchInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[119]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryAnyOrderMatchInstance) String() string {
+func (x *TrajectoryExactMatchInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryAnyOrderMatchInstance) ProtoMessage() {}
+func (*TrajectoryExactMatchInstance) ProtoMessage() {}
 
-func (x *TrajectoryAnyOrderMatchInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[122]
+func (x *TrajectoryExactMatchInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[119]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8119,50 +8254,50 @@ func (x *TrajectoryAnyOrderMatchInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryAnyOrderMatchInstance.ProtoReflect.Descriptor instead.
-func (*TrajectoryAnyOrderMatchInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{122}
+// Deprecated: Use TrajectoryExactMatchInstance.ProtoReflect.Descriptor instead.
+func (*TrajectoryExactMatchInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{119}
 }
 
-func (x *TrajectoryAnyOrderMatchInstance) GetPredictedTrajectory() *Trajectory {
+func (x *TrajectoryExactMatchInstance) GetPredictedTrajectory() *Trajectory {
 	if x != nil {
 		return x.PredictedTrajectory
 	}
 	return nil
 }
 
-func (x *TrajectoryAnyOrderMatchInstance) GetReferenceTrajectory() *Trajectory {
+func (x *TrajectoryExactMatchInstance) GetReferenceTrajectory() *Trajectory {
 	if x != nil {
 		return x.ReferenceTrajectory
 	}
 	return nil
 }
 
-// Results for TrajectoryAnyOrderMatch metric.
-type TrajectoryAnyOrderMatchResults struct {
+// Results for TrajectoryExactMatch metric.
+type TrajectoryExactMatchResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryAnyOrderMatch metric values.
-	TrajectoryAnyOrderMatchMetricValues []*TrajectoryAnyOrderMatchMetricValue `protobuf:"bytes,1,rep,name=trajectory_any_order_match_metric_values,json=trajectoryAnyOrderMatchMetricValues,proto3" json:"trajectory_any_order_match_metric_values,omitempty"`
+	// Output only. TrajectoryExactMatch metric values.
+	TrajectoryExactMatchMetricValues []*TrajectoryExactMatchMetricValue `protobuf:"bytes,1,rep,name=trajectory_exact_match_metric_values,json=trajectoryExactMatchMetricValues,proto3" json:"trajectory_exact_match_metric_values,omitempty"`
 }
 
-func (x *TrajectoryAnyOrderMatchResults) Reset() {
-	*x = TrajectoryAnyOrderMatchResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[123]
+func (x *TrajectoryExactMatchResults) Reset() {
+	*x = TrajectoryExactMatchResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[120]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryAnyOrderMatchResults) String() string {
+func (x *TrajectoryExactMatchResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryAnyOrderMatchResults) ProtoMessage() {}
+func (*TrajectoryExactMatchResults) ProtoMessage() {}
 
-func (x *TrajectoryAnyOrderMatchResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[123]
+func (x *TrajectoryExactMatchResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[120]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8173,43 +8308,43 @@ func (x *TrajectoryAnyOrderMatchResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryAnyOrderMatchResults.ProtoReflect.Descriptor instead.
-func (*TrajectoryAnyOrderMatchResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{123}
+// Deprecated: Use TrajectoryExactMatchResults.ProtoReflect.Descriptor instead.
+func (*TrajectoryExactMatchResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{120}
 }
 
-func (x *TrajectoryAnyOrderMatchResults) GetTrajectoryAnyOrderMatchMetricValues() []*TrajectoryAnyOrderMatchMetricValue {
+func (x *TrajectoryExactMatchResults) GetTrajectoryExactMatchMetricValues() []*TrajectoryExactMatchMetricValue {
 	if x != nil {
-		return x.TrajectoryAnyOrderMatchMetricValues
+		return x.TrajectoryExactMatchMetricValues
 	}
 	return nil
 }
 
-// TrajectoryAnyOrderMatch metric value for an instance.
-type TrajectoryAnyOrderMatchMetricValue struct {
+// TrajectoryExactMatch metric value for an instance.
+type TrajectoryExactMatchMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryAnyOrderMatch score.
+	// Output only. TrajectoryExactMatch score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *TrajectoryAnyOrderMatchMetricValue) Reset() {
-	*x = TrajectoryAnyOrderMatchMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[124]
+func (x *TrajectoryExactMatchMetricValue) Reset() {
+	*x = TrajectoryExactMatchMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[121]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryAnyOrderMatchMetricValue) String() string {
+func (x *TrajectoryExactMatchMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryAnyOrderMatchMetricValue) ProtoMessage() {}
+func (*TrajectoryExactMatchMetricValue) ProtoMessage() {}
 
-func (x *TrajectoryAnyOrderMatchMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[124]
+func (x *TrajectoryExactMatchMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[121]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8220,45 +8355,45 @@ func (x *TrajectoryAnyOrderMatchMetricValue) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryAnyOrderMatchMetricValue.ProtoReflect.Descriptor instead.
-func (*TrajectoryAnyOrderMatchMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{124}
+// Deprecated: Use TrajectoryExactMatchMetricValue.ProtoReflect.Descriptor instead.
+func (*TrajectoryExactMatchMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{121}
 }
 
-func (x *TrajectoryAnyOrderMatchMetricValue) GetScore() float32 {
+func (x *TrajectoryExactMatchMetricValue) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Instances and metric spec for TrajectoryPrecision metric.
-type TrajectoryPrecisionInput struct {
+// Instances and metric spec for TrajectoryInOrderMatch metric.
+type TrajectoryInOrderMatchInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for TrajectoryPrecision metric.
-	MetricSpec *TrajectoryPrecisionSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated TrajectoryPrecision instance.
-	Instances []*TrajectoryPrecisionInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Required. Spec for TrajectoryInOrderMatch metric.
+	MetricSpec *TrajectoryInOrderMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated TrajectoryInOrderMatch instance.
+	Instances []*TrajectoryInOrderMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *TrajectoryPrecisionInput) Reset() {
-	*x = TrajectoryPrecisionInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[125]
+func (x *TrajectoryInOrderMatchInput) Reset() {
+	*x = TrajectoryInOrderMatchInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[122]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryPrecisionInput) String() string {
+func (x *TrajectoryInOrderMatchInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryPrecisionInput) ProtoMessage() {}
+func (*TrajectoryInOrderMatchInput) ProtoMessage() {}
 
-func (x *TrajectoryPrecisionInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[125]
+func (x *TrajectoryInOrderMatchInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[122]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8269,48 +8404,49 @@ func (x *TrajectoryPrecisionInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryPrecisionInput.ProtoReflect.Descriptor instead.
-func (*TrajectoryPrecisionInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{125}
+// Deprecated: Use TrajectoryInOrderMatchInput.ProtoReflect.Descriptor instead.
+func (*TrajectoryInOrderMatchInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{122}
 }
 
-func (x *TrajectoryPrecisionInput) GetMetricSpec() *TrajectoryPrecisionSpec {
+func (x *TrajectoryInOrderMatchInput) GetMetricSpec() *TrajectoryInOrderMatchSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *TrajectoryPrecisionInput) GetInstances() []*TrajectoryPrecisionInstance {
+func (x *TrajectoryInOrderMatchInput) GetInstances() []*TrajectoryInOrderMatchInstance {
 	if x != nil {
 		return x.Instances
 	}
 	return nil
 }
 
-// Spec for TrajectoryPrecision metric - returns a float score based on average
-// precision of individual tool calls.
-type TrajectoryPrecisionSpec struct {
+// Spec for TrajectoryInOrderMatch metric - returns 1 if tool calls in the
+// reference trajectory appear in the predicted trajectory in the same order,
+// else 0.
+type TrajectoryInOrderMatchSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 }
 
-func (x *TrajectoryPrecisionSpec) Reset() {
-	*x = TrajectoryPrecisionSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[126]
+func (x *TrajectoryInOrderMatchSpec) Reset() {
+	*x = TrajectoryInOrderMatchSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[123]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryPrecisionSpec) String() string {
+func (x *TrajectoryInOrderMatchSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryPrecisionSpec) ProtoMessage() {}
+func (*TrajectoryInOrderMatchSpec) ProtoMessage() {}
 
-func (x *TrajectoryPrecisionSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[126]
+func (x *TrajectoryInOrderMatchSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[123]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8321,13 +8457,13 @@ func (x *TrajectoryPrecisionSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryPrecisionSpec.ProtoReflect.Descriptor instead.
-func (*TrajectoryPrecisionSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{126}
+// Deprecated: Use TrajectoryInOrderMatchSpec.ProtoReflect.Descriptor instead.
+func (*TrajectoryInOrderMatchSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{123}
 }
 
-// Spec for TrajectoryPrecision instance.
-type TrajectoryPrecisionInstance struct {
+// Spec for TrajectoryInOrderMatch instance.
+type TrajectoryInOrderMatchInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -8338,21 +8474,21 @@ type TrajectoryPrecisionInstance struct {
 	ReferenceTrajectory *Trajectory `protobuf:"bytes,2,opt,name=reference_trajectory,json=referenceTrajectory,proto3,oneof" json:"reference_trajectory,omitempty"`
 }
 
-func (x *TrajectoryPrecisionInstance) Reset() {
-	*x = TrajectoryPrecisionInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[127]
+func (x *TrajectoryInOrderMatchInstance) Reset() {
+	*x = TrajectoryInOrderMatchInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[124]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryPrecisionInstance) String() string {
+func (x *TrajectoryInOrderMatchInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryPrecisionInstance) ProtoMessage() {}
+func (*TrajectoryInOrderMatchInstance) ProtoMessage() {}
 
-func (x *TrajectoryPrecisionInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[127]
+func (x *TrajectoryInOrderMatchInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[124]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8363,50 +8499,50 @@ func (x *TrajectoryPrecisionInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryPrecisionInstance.ProtoReflect.Descriptor instead.
-func (*TrajectoryPrecisionInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{127}
+// Deprecated: Use TrajectoryInOrderMatchInstance.ProtoReflect.Descriptor instead.
+func (*TrajectoryInOrderMatchInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{124}
 }
 
-func (x *TrajectoryPrecisionInstance) GetPredictedTrajectory() *Trajectory {
+func (x *TrajectoryInOrderMatchInstance) GetPredictedTrajectory() *Trajectory {
 	if x != nil {
 		return x.PredictedTrajectory
 	}
 	return nil
 }
 
-func (x *TrajectoryPrecisionInstance) GetReferenceTrajectory() *Trajectory {
+func (x *TrajectoryInOrderMatchInstance) GetReferenceTrajectory() *Trajectory {
 	if x != nil {
 		return x.ReferenceTrajectory
 	}
 	return nil
 }
 
-// Results for TrajectoryPrecision metric.
-type TrajectoryPrecisionResults struct {
+// Results for TrajectoryInOrderMatch metric.
+type TrajectoryInOrderMatchResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryPrecision metric values.
-	TrajectoryPrecisionMetricValues []*TrajectoryPrecisionMetricValue `protobuf:"bytes,1,rep,name=trajectory_precision_metric_values,json=trajectoryPrecisionMetricValues,proto3" json:"trajectory_precision_metric_values,omitempty"`
+	// Output only. TrajectoryInOrderMatch metric values.
+	TrajectoryInOrderMatchMetricValues []*TrajectoryInOrderMatchMetricValue `protobuf:"bytes,1,rep,name=trajectory_in_order_match_metric_values,json=trajectoryInOrderMatchMetricValues,proto3" json:"trajectory_in_order_match_metric_values,omitempty"`
 }
 
-func (x *TrajectoryPrecisionResults) Reset() {
-	*x = TrajectoryPrecisionResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[128]
+func (x *TrajectoryInOrderMatchResults) Reset() {
+	*x = TrajectoryInOrderMatchResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[125]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryPrecisionResults) String() string {
+func (x *TrajectoryInOrderMatchResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryPrecisionResults) ProtoMessage() {}
+func (*TrajectoryInOrderMatchResults) ProtoMessage() {}
 
-func (x *TrajectoryPrecisionResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[128]
+func (x *TrajectoryInOrderMatchResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[125]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8417,43 +8553,43 @@ func (x *TrajectoryPrecisionResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryPrecisionResults.ProtoReflect.Descriptor instead.
-func (*TrajectoryPrecisionResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{128}
+// Deprecated: Use TrajectoryInOrderMatchResults.ProtoReflect.Descriptor instead.
+func (*TrajectoryInOrderMatchResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{125}
 }
 
-func (x *TrajectoryPrecisionResults) GetTrajectoryPrecisionMetricValues() []*TrajectoryPrecisionMetricValue {
+func (x *TrajectoryInOrderMatchResults) GetTrajectoryInOrderMatchMetricValues() []*TrajectoryInOrderMatchMetricValue {
 	if x != nil {
-		return x.TrajectoryPrecisionMetricValues
+		return x.TrajectoryInOrderMatchMetricValues
 	}
 	return nil
 }
 
-// TrajectoryPrecision metric value for an instance.
-type TrajectoryPrecisionMetricValue struct {
+// TrajectoryInOrderMatch metric value for an instance.
+type TrajectoryInOrderMatchMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryPrecision score.
+	// Output only. TrajectoryInOrderMatch score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *TrajectoryPrecisionMetricValue) Reset() {
-	*x = TrajectoryPrecisionMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[129]
-	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+func (x *TrajectoryInOrderMatchMetricValue) Reset() {
+	*x = TrajectoryInOrderMatchMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[126]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryPrecisionMetricValue) String() string {
+func (x *TrajectoryInOrderMatchMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryPrecisionMetricValue) ProtoMessage() {}
+func (*TrajectoryInOrderMatchMetricValue) ProtoMessage() {}
 
-func (x *TrajectoryPrecisionMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[129]
+func (x *TrajectoryInOrderMatchMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[126]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8464,45 +8600,45 @@ func (x *TrajectoryPrecisionMetricValue) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryPrecisionMetricValue.ProtoReflect.Descriptor instead.
-func (*TrajectoryPrecisionMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{129}
+// Deprecated: Use TrajectoryInOrderMatchMetricValue.ProtoReflect.Descriptor instead.
+func (*TrajectoryInOrderMatchMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{126}
 }
 
-func (x *TrajectoryPrecisionMetricValue) GetScore() float32 {
+func (x *TrajectoryInOrderMatchMetricValue) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Instances and metric spec for TrajectoryRecall metric.
-type TrajectoryRecallInput struct {
+// Instances and metric spec for TrajectoryAnyOrderMatch metric.
+type TrajectoryAnyOrderMatchInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for TrajectoryRecall metric.
-	MetricSpec *TrajectoryRecallSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated TrajectoryRecall instance.
-	Instances []*TrajectoryRecallInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Required. Spec for TrajectoryAnyOrderMatch metric.
+	MetricSpec *TrajectoryAnyOrderMatchSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated TrajectoryAnyOrderMatch instance.
+	Instances []*TrajectoryAnyOrderMatchInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *TrajectoryRecallInput) Reset() {
-	*x = TrajectoryRecallInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[130]
+func (x *TrajectoryAnyOrderMatchInput) Reset() {
+	*x = TrajectoryAnyOrderMatchInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[127]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryRecallInput) String() string {
+func (x *TrajectoryAnyOrderMatchInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryRecallInput) ProtoMessage() {}
+func (*TrajectoryAnyOrderMatchInput) ProtoMessage() {}
 
-func (x *TrajectoryRecallInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[130]
+func (x *TrajectoryAnyOrderMatchInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[127]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8513,48 +8649,49 @@ func (x *TrajectoryRecallInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryRecallInput.ProtoReflect.Descriptor instead.
-func (*TrajectoryRecallInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{130}
+// Deprecated: Use TrajectoryAnyOrderMatchInput.ProtoReflect.Descriptor instead.
+func (*TrajectoryAnyOrderMatchInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{127}
 }
 
-func (x *TrajectoryRecallInput) GetMetricSpec() *TrajectoryRecallSpec {
+func (x *TrajectoryAnyOrderMatchInput) GetMetricSpec() *TrajectoryAnyOrderMatchSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *TrajectoryRecallInput) GetInstances() []*TrajectoryRecallInstance {
+func (x *TrajectoryAnyOrderMatchInput) GetInstances() []*TrajectoryAnyOrderMatchInstance {
 	if x != nil {
 		return x.Instances
 	}
 	return nil
 }
 
-// Spec for TrajectoryRecall metric - returns a float score based on average
-// recall of individual tool calls.
-type TrajectoryRecallSpec struct {
+// Spec for TrajectoryAnyOrderMatch metric - returns 1 if all tool calls in the
+// reference trajectory appear in the predicted trajectory in any order, else
+// 0.
+type TrajectoryAnyOrderMatchSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 }
 
-func (x *TrajectoryRecallSpec) Reset() {
-	*x = TrajectoryRecallSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[131]
+func (x *TrajectoryAnyOrderMatchSpec) Reset() {
+	*x = TrajectoryAnyOrderMatchSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[128]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryRecallSpec) String() string {
+func (x *TrajectoryAnyOrderMatchSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryRecallSpec) ProtoMessage() {}
+func (*TrajectoryAnyOrderMatchSpec) ProtoMessage() {}
 
-func (x *TrajectoryRecallSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[131]
+func (x *TrajectoryAnyOrderMatchSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[128]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8565,13 +8702,13 @@ func (x *TrajectoryRecallSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryRecallSpec.ProtoReflect.Descriptor instead.
-func (*TrajectoryRecallSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{131}
+// Deprecated: Use TrajectoryAnyOrderMatchSpec.ProtoReflect.Descriptor instead.
+func (*TrajectoryAnyOrderMatchSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{128}
 }
 
-// Spec for TrajectoryRecall instance.
-type TrajectoryRecallInstance struct {
+// Spec for TrajectoryAnyOrderMatch instance.
+type TrajectoryAnyOrderMatchInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
@@ -8582,21 +8719,21 @@ type TrajectoryRecallInstance struct {
 	ReferenceTrajectory *Trajectory `protobuf:"bytes,2,opt,name=reference_trajectory,json=referenceTrajectory,proto3,oneof" json:"reference_trajectory,omitempty"`
 }
 
-func (x *TrajectoryRecallInstance) Reset() {
-	*x = TrajectoryRecallInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[132]
+func (x *TrajectoryAnyOrderMatchInstance) Reset() {
+	*x = TrajectoryAnyOrderMatchInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[129]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryRecallInstance) String() string {
+func (x *TrajectoryAnyOrderMatchInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryRecallInstance) ProtoMessage() {}
+func (*TrajectoryAnyOrderMatchInstance) ProtoMessage() {}
 
-func (x *TrajectoryRecallInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[132]
+func (x *TrajectoryAnyOrderMatchInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[129]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8607,50 +8744,50 @@ func (x *TrajectoryRecallInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryRecallInstance.ProtoReflect.Descriptor instead.
-func (*TrajectoryRecallInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{132}
+// Deprecated: Use TrajectoryAnyOrderMatchInstance.ProtoReflect.Descriptor instead.
+func (*TrajectoryAnyOrderMatchInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{129}
 }
 
-func (x *TrajectoryRecallInstance) GetPredictedTrajectory() *Trajectory {
+func (x *TrajectoryAnyOrderMatchInstance) GetPredictedTrajectory() *Trajectory {
 	if x != nil {
 		return x.PredictedTrajectory
 	}
 	return nil
 }
 
-func (x *TrajectoryRecallInstance) GetReferenceTrajectory() *Trajectory {
+func (x *TrajectoryAnyOrderMatchInstance) GetReferenceTrajectory() *Trajectory {
 	if x != nil {
 		return x.ReferenceTrajectory
 	}
 	return nil
 }
 
-// Results for TrajectoryRecall metric.
-type TrajectoryRecallResults struct {
+// Results for TrajectoryAnyOrderMatch metric.
+type TrajectoryAnyOrderMatchResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryRecall metric values.
-	TrajectoryRecallMetricValues []*TrajectoryRecallMetricValue `protobuf:"bytes,1,rep,name=trajectory_recall_metric_values,json=trajectoryRecallMetricValues,proto3" json:"trajectory_recall_metric_values,omitempty"`
+	// Output only. TrajectoryAnyOrderMatch metric values.
+	TrajectoryAnyOrderMatchMetricValues []*TrajectoryAnyOrderMatchMetricValue `protobuf:"bytes,1,rep,name=trajectory_any_order_match_metric_values,json=trajectoryAnyOrderMatchMetricValues,proto3" json:"trajectory_any_order_match_metric_values,omitempty"`
 }
 
-func (x *TrajectoryRecallResults) Reset() {
-	*x = TrajectoryRecallResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[133]
+func (x *TrajectoryAnyOrderMatchResults) Reset() {
+	*x = TrajectoryAnyOrderMatchResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[130]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryRecallResults) String() string {
+func (x *TrajectoryAnyOrderMatchResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryRecallResults) ProtoMessage() {}
+func (*TrajectoryAnyOrderMatchResults) ProtoMessage() {}
 
-func (x *TrajectoryRecallResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[133]
+func (x *TrajectoryAnyOrderMatchResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[130]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8661,43 +8798,43 @@ func (x *TrajectoryRecallResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryRecallResults.ProtoReflect.Descriptor instead.
-func (*TrajectoryRecallResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{133}
+// Deprecated: Use TrajectoryAnyOrderMatchResults.ProtoReflect.Descriptor instead.
+func (*TrajectoryAnyOrderMatchResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{130}
 }
 
-func (x *TrajectoryRecallResults) GetTrajectoryRecallMetricValues() []*TrajectoryRecallMetricValue {
+func (x *TrajectoryAnyOrderMatchResults) GetTrajectoryAnyOrderMatchMetricValues() []*TrajectoryAnyOrderMatchMetricValue {
 	if x != nil {
-		return x.TrajectoryRecallMetricValues
+		return x.TrajectoryAnyOrderMatchMetricValues
 	}
 	return nil
 }
 
-// TrajectoryRecall metric value for an instance.
-type TrajectoryRecallMetricValue struct {
+// TrajectoryAnyOrderMatch metric value for an instance.
+type TrajectoryAnyOrderMatchMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectoryRecall score.
+	// Output only. TrajectoryAnyOrderMatch score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *TrajectoryRecallMetricValue) Reset() {
-	*x = TrajectoryRecallMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[134]
+func (x *TrajectoryAnyOrderMatchMetricValue) Reset() {
+	*x = TrajectoryAnyOrderMatchMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[131]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectoryRecallMetricValue) String() string {
+func (x *TrajectoryAnyOrderMatchMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectoryRecallMetricValue) ProtoMessage() {}
+func (*TrajectoryAnyOrderMatchMetricValue) ProtoMessage() {}
 
-func (x *TrajectoryRecallMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[134]
+func (x *TrajectoryAnyOrderMatchMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[131]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8708,45 +8845,45 @@ func (x *TrajectoryRecallMetricValue) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectoryRecallMetricValue.ProtoReflect.Descriptor instead.
-func (*TrajectoryRecallMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{134}
+// Deprecated: Use TrajectoryAnyOrderMatchMetricValue.ProtoReflect.Descriptor instead.
+func (*TrajectoryAnyOrderMatchMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{131}
 }
 
-func (x *TrajectoryRecallMetricValue) GetScore() float32 {
+func (x *TrajectoryAnyOrderMatchMetricValue) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Instances and metric spec for TrajectorySingleToolUse metric.
-type TrajectorySingleToolUseInput struct {
+// Instances and metric spec for TrajectoryPrecision metric.
+type TrajectoryPrecisionInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Spec for TrajectorySingleToolUse metric.
-	MetricSpec *TrajectorySingleToolUseSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
-	// Required. Repeated TrajectorySingleToolUse instance.
-	Instances []*TrajectorySingleToolUseInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+	// Required. Spec for TrajectoryPrecision metric.
+	MetricSpec *TrajectoryPrecisionSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated TrajectoryPrecision instance.
+	Instances []*TrajectoryPrecisionInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *TrajectorySingleToolUseInput) Reset() {
-	*x = TrajectorySingleToolUseInput{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[135]
+func (x *TrajectoryPrecisionInput) Reset() {
+	*x = TrajectoryPrecisionInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[132]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectorySingleToolUseInput) String() string {
+func (x *TrajectoryPrecisionInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectorySingleToolUseInput) ProtoMessage() {}
+func (*TrajectoryPrecisionInput) ProtoMessage() {}
 
-func (x *TrajectorySingleToolUseInput) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[135]
+func (x *TrajectoryPrecisionInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[132]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8757,51 +8894,48 @@ func (x *TrajectorySingleToolUseInput) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectorySingleToolUseInput.ProtoReflect.Descriptor instead.
-func (*TrajectorySingleToolUseInput) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{135}
+// Deprecated: Use TrajectoryPrecisionInput.ProtoReflect.Descriptor instead.
+func (*TrajectoryPrecisionInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{132}
 }
 
-func (x *TrajectorySingleToolUseInput) GetMetricSpec() *TrajectorySingleToolUseSpec {
+func (x *TrajectoryPrecisionInput) GetMetricSpec() *TrajectoryPrecisionSpec {
 	if x != nil {
 		return x.MetricSpec
 	}
 	return nil
 }
 
-func (x *TrajectorySingleToolUseInput) GetInstances() []*TrajectorySingleToolUseInstance {
+func (x *TrajectoryPrecisionInput) GetInstances() []*TrajectoryPrecisionInstance {
 	if x != nil {
 		return x.Instances
 	}
 	return nil
 }
 
-// Spec for TrajectorySingleToolUse metric - returns 1 if tool is present in the
-// predicted trajectory, else 0.
-type TrajectorySingleToolUseSpec struct {
+// Spec for TrajectoryPrecision metric - returns a float score based on average
+// precision of individual tool calls.
+type TrajectoryPrecisionSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
-
-	// Required. Spec for tool name to be checked for in the predicted trajectory.
-	ToolName *string `protobuf:"bytes,1,opt,name=tool_name,json=toolName,proto3,oneof" json:"tool_name,omitempty"`
 }
 
-func (x *TrajectorySingleToolUseSpec) Reset() {
-	*x = TrajectorySingleToolUseSpec{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[136]
+func (x *TrajectoryPrecisionSpec) Reset() {
+	*x = TrajectoryPrecisionSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[133]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectorySingleToolUseSpec) String() string {
+func (x *TrajectoryPrecisionSpec) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectorySingleToolUseSpec) ProtoMessage() {}
+func (*TrajectoryPrecisionSpec) ProtoMessage() {}
 
-func (x *TrajectorySingleToolUseSpec) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[136]
+func (x *TrajectoryPrecisionSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[133]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8812,43 +8946,38 @@ func (x *TrajectorySingleToolUseSpec) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectorySingleToolUseSpec.ProtoReflect.Descriptor instead.
-func (*TrajectorySingleToolUseSpec) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{136}
-}
-
-func (x *TrajectorySingleToolUseSpec) GetToolName() string {
-	if x != nil && x.ToolName != nil {
-		return *x.ToolName
-	}
-	return ""
+// Deprecated: Use TrajectoryPrecisionSpec.ProtoReflect.Descriptor instead.
+func (*TrajectoryPrecisionSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{133}
 }
 
-// Spec for TrajectorySingleToolUse instance.
-type TrajectorySingleToolUseInstance struct {
+// Spec for TrajectoryPrecision instance.
+type TrajectoryPrecisionInstance struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
 	// Required. Spec for predicted tool call trajectory.
 	PredictedTrajectory *Trajectory `protobuf:"bytes,1,opt,name=predicted_trajectory,json=predictedTrajectory,proto3,oneof" json:"predicted_trajectory,omitempty"`
+	// Required. Spec for reference tool call trajectory.
+	ReferenceTrajectory *Trajectory `protobuf:"bytes,2,opt,name=reference_trajectory,json=referenceTrajectory,proto3,oneof" json:"reference_trajectory,omitempty"`
 }
 
-func (x *TrajectorySingleToolUseInstance) Reset() {
-	*x = TrajectorySingleToolUseInstance{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[137]
+func (x *TrajectoryPrecisionInstance) Reset() {
+	*x = TrajectoryPrecisionInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[134]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectorySingleToolUseInstance) String() string {
+func (x *TrajectoryPrecisionInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectorySingleToolUseInstance) ProtoMessage() {}
+func (*TrajectoryPrecisionInstance) ProtoMessage() {}
 
-func (x *TrajectorySingleToolUseInstance) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[137]
+func (x *TrajectoryPrecisionInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[134]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8859,43 +8988,50 @@ func (x *TrajectorySingleToolUseInstance) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectorySingleToolUseInstance.ProtoReflect.Descriptor instead.
-func (*TrajectorySingleToolUseInstance) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{137}
+// Deprecated: Use TrajectoryPrecisionInstance.ProtoReflect.Descriptor instead.
+func (*TrajectoryPrecisionInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{134}
 }
 
-func (x *TrajectorySingleToolUseInstance) GetPredictedTrajectory() *Trajectory {
+func (x *TrajectoryPrecisionInstance) GetPredictedTrajectory() *Trajectory {
 	if x != nil {
 		return x.PredictedTrajectory
 	}
 	return nil
 }
 
-// Results for TrajectorySingleToolUse metric.
-type TrajectorySingleToolUseResults struct {
+func (x *TrajectoryPrecisionInstance) GetReferenceTrajectory() *Trajectory {
+	if x != nil {
+		return x.ReferenceTrajectory
+	}
+	return nil
+}
+
+// Results for TrajectoryPrecision metric.
+type TrajectoryPrecisionResults struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectorySingleToolUse metric values.
-	TrajectorySingleToolUseMetricValues []*TrajectorySingleToolUseMetricValue `protobuf:"bytes,1,rep,name=trajectory_single_tool_use_metric_values,json=trajectorySingleToolUseMetricValues,proto3" json:"trajectory_single_tool_use_metric_values,omitempty"`
+	// Output only. TrajectoryPrecision metric values.
+	TrajectoryPrecisionMetricValues []*TrajectoryPrecisionMetricValue `protobuf:"bytes,1,rep,name=trajectory_precision_metric_values,json=trajectoryPrecisionMetricValues,proto3" json:"trajectory_precision_metric_values,omitempty"`
 }
 
-func (x *TrajectorySingleToolUseResults) Reset() {
-	*x = TrajectorySingleToolUseResults{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[138]
+func (x *TrajectoryPrecisionResults) Reset() {
+	*x = TrajectoryPrecisionResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[135]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectorySingleToolUseResults) String() string {
+func (x *TrajectoryPrecisionResults) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectorySingleToolUseResults) ProtoMessage() {}
+func (*TrajectoryPrecisionResults) ProtoMessage() {}
 
-func (x *TrajectorySingleToolUseResults) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[138]
+func (x *TrajectoryPrecisionResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[135]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8906,43 +9042,43 @@ func (x *TrajectorySingleToolUseResults) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectorySingleToolUseResults.ProtoReflect.Descriptor instead.
-func (*TrajectorySingleToolUseResults) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{138}
+// Deprecated: Use TrajectoryPrecisionResults.ProtoReflect.Descriptor instead.
+func (*TrajectoryPrecisionResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{135}
 }
 
-func (x *TrajectorySingleToolUseResults) GetTrajectorySingleToolUseMetricValues() []*TrajectorySingleToolUseMetricValue {
+func (x *TrajectoryPrecisionResults) GetTrajectoryPrecisionMetricValues() []*TrajectoryPrecisionMetricValue {
 	if x != nil {
-		return x.TrajectorySingleToolUseMetricValues
+		return x.TrajectoryPrecisionMetricValues
 	}
 	return nil
 }
 
-// TrajectorySingleToolUse metric value for an instance.
-type TrajectorySingleToolUseMetricValue struct {
+// TrajectoryPrecision metric value for an instance.
+type TrajectoryPrecisionMetricValue struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Output only. TrajectorySingleToolUse score.
+	// Output only. TrajectoryPrecision score.
 	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
 }
 
-func (x *TrajectorySingleToolUseMetricValue) Reset() {
-	*x = TrajectorySingleToolUseMetricValue{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[139]
+func (x *TrajectoryPrecisionMetricValue) Reset() {
+	*x = TrajectoryPrecisionMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[136]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *TrajectorySingleToolUseMetricValue) String() string {
+func (x *TrajectoryPrecisionMetricValue) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*TrajectorySingleToolUseMetricValue) ProtoMessage() {}
+func (*TrajectoryPrecisionMetricValue) ProtoMessage() {}
 
-func (x *TrajectorySingleToolUseMetricValue) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[139]
+func (x *TrajectoryPrecisionMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[136]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -8953,43 +9089,45 @@ func (x *TrajectorySingleToolUseMetricValue) ProtoReflect() protoreflect.Message
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use TrajectorySingleToolUseMetricValue.ProtoReflect.Descriptor instead.
-func (*TrajectorySingleToolUseMetricValue) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{139}
+// Deprecated: Use TrajectoryPrecisionMetricValue.ProtoReflect.Descriptor instead.
+func (*TrajectoryPrecisionMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{136}
 }
 
-func (x *TrajectorySingleToolUseMetricValue) GetScore() float32 {
+func (x *TrajectoryPrecisionMetricValue) GetScore() float32 {
 	if x != nil && x.Score != nil {
 		return *x.Score
 	}
 	return 0
 }
 
-// Spec for trajectory.
-type Trajectory struct {
+// Instances and metric spec for TrajectoryRecall metric.
+type TrajectoryRecallInput struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	// Required. Tool calls in the trajectory.
-	ToolCalls []*ToolCall `protobuf:"bytes,1,rep,name=tool_calls,json=toolCalls,proto3" json:"tool_calls,omitempty"`
+	// Required. Spec for TrajectoryRecall metric.
+	MetricSpec *TrajectoryRecallSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated TrajectoryRecall instance.
+	Instances []*TrajectoryRecallInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
 }
 
-func (x *Trajectory) Reset() {
-	*x = Trajectory{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[140]
+func (x *TrajectoryRecallInput) Reset() {
+	*x = TrajectoryRecallInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[137]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *Trajectory) String() string {
+func (x *TrajectoryRecallInput) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*Trajectory) ProtoMessage() {}
+func (*TrajectoryRecallInput) ProtoMessage() {}
 
-func (x *Trajectory) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[140]
+func (x *TrajectoryRecallInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[137]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -9000,45 +9138,90 @@ func (x *Trajectory) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use Trajectory.ProtoReflect.Descriptor instead.
-func (*Trajectory) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{140}
+// Deprecated: Use TrajectoryRecallInput.ProtoReflect.Descriptor instead.
+func (*TrajectoryRecallInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{137}
 }
 
-func (x *Trajectory) GetToolCalls() []*ToolCall {
+func (x *TrajectoryRecallInput) GetMetricSpec() *TrajectoryRecallSpec {
 	if x != nil {
-		return x.ToolCalls
+		return x.MetricSpec
 	}
 	return nil
 }
 
-// Spec for tool call.
-type ToolCall struct {
+func (x *TrajectoryRecallInput) GetInstances() []*TrajectoryRecallInstance {
+	if x != nil {
+		return x.Instances
+	}
+	return nil
+}
+
+// Spec for TrajectoryRecall metric - returns a float score based on average
+// recall of individual tool calls.
+type TrajectoryRecallSpec struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
+}
 
-	// Required. Spec for tool name
-	ToolName *string `protobuf:"bytes,1,opt,name=tool_name,json=toolName,proto3,oneof" json:"tool_name,omitempty"`
-	// Optional. Spec for tool input
-	ToolInput *string `protobuf:"bytes,2,opt,name=tool_input,json=toolInput,proto3,oneof" json:"tool_input,omitempty"`
+func (x *TrajectoryRecallSpec) Reset() {
+	*x = TrajectoryRecallSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[138]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolCall) Reset() {
-	*x = ToolCall{}
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[141]
+func (x *TrajectoryRecallSpec) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*TrajectoryRecallSpec) ProtoMessage() {}
+
+func (x *TrajectoryRecallSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[138]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use TrajectoryRecallSpec.ProtoReflect.Descriptor instead.
+func (*TrajectoryRecallSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{138}
+}
+
+// Spec for TrajectoryRecall instance.
+type TrajectoryRecallInstance struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Required. Spec for predicted tool call trajectory.
+	PredictedTrajectory *Trajectory `protobuf:"bytes,1,opt,name=predicted_trajectory,json=predictedTrajectory,proto3,oneof" json:"predicted_trajectory,omitempty"`
+	// Required. Spec for reference tool call trajectory.
+	ReferenceTrajectory *Trajectory `protobuf:"bytes,2,opt,name=reference_trajectory,json=referenceTrajectory,proto3,oneof" json:"reference_trajectory,omitempty"`
+}
+
+func (x *TrajectoryRecallInstance) Reset() {
+	*x = TrajectoryRecallInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[139]
 	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 	ms.StoreMessageInfo(mi)
 }
 
-func (x *ToolCall) String() string {
+func (x *TrajectoryRecallInstance) String() string {
 	return protoimpl.X.MessageStringOf(x)
 }
 
-func (*ToolCall) ProtoMessage() {}
+func (*TrajectoryRecallInstance) ProtoMessage() {}
 
-func (x *ToolCall) ProtoReflect() protoreflect.Message {
-	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[141]
+func (x *TrajectoryRecallInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[139]
 	if x != nil {
 		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
 		if ms.LoadMessageInfo() == nil {
@@ -9049,692 +9232,1324 @@ func (x *ToolCall) ProtoReflect() protoreflect.Message {
 	return mi.MessageOf(x)
 }
 
-// Deprecated: Use ToolCall.ProtoReflect.Descriptor instead.
-func (*ToolCall) Descriptor() ([]byte, []int) {
-	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{141}
+// Deprecated: Use TrajectoryRecallInstance.ProtoReflect.Descriptor instead.
+func (*TrajectoryRecallInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{139}
 }
 
-func (x *ToolCall) GetToolName() string {
-	if x != nil && x.ToolName != nil {
-		return *x.ToolName
+func (x *TrajectoryRecallInstance) GetPredictedTrajectory() *Trajectory {
+	if x != nil {
+		return x.PredictedTrajectory
 	}
-	return ""
+	return nil
 }
 
-func (x *ToolCall) GetToolInput() string {
-	if x != nil && x.ToolInput != nil {
-		return *x.ToolInput
+func (x *TrajectoryRecallInstance) GetReferenceTrajectory() *Trajectory {
+	if x != nil {
+		return x.ReferenceTrajectory
 	}
-	return ""
+	return nil
 }
 
-var File_google_cloud_aiplatform_v1beta1_evaluation_service_proto protoreflect.FileDescriptor
+// Results for TrajectoryRecall metric.
+type TrajectoryRecallResults struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
 
-var file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDesc = []byte{
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+	// Output only. TrajectoryRecall metric values.
+	TrajectoryRecallMetricValues []*TrajectoryRecallMetricValue `protobuf:"bytes,1,rep,name=trajectory_recall_metric_values,json=trajectoryRecallMetricValues,proto3" json:"trajectory_recall_metric_values,omitempty"`
+}
+
+func (x *TrajectoryRecallResults) Reset() {
+	*x = TrajectoryRecallResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[140]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *TrajectoryRecallResults) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*TrajectoryRecallResults) ProtoMessage() {}
+
+func (x *TrajectoryRecallResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[140]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use TrajectoryRecallResults.ProtoReflect.Descriptor instead.
+func (*TrajectoryRecallResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{140}
+}
+
+func (x *TrajectoryRecallResults) GetTrajectoryRecallMetricValues() []*TrajectoryRecallMetricValue {
+	if x != nil {
+		return x.TrajectoryRecallMetricValues
+	}
+	return nil
+}
+
+// TrajectoryRecall metric value for an instance.
+type TrajectoryRecallMetricValue struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Output only. TrajectoryRecall score.
+	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+}
+
+func (x *TrajectoryRecallMetricValue) Reset() {
+	*x = TrajectoryRecallMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[141]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *TrajectoryRecallMetricValue) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*TrajectoryRecallMetricValue) ProtoMessage() {}
+
+func (x *TrajectoryRecallMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[141]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use TrajectoryRecallMetricValue.ProtoReflect.Descriptor instead.
+func (*TrajectoryRecallMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{141}
+}
+
+func (x *TrajectoryRecallMetricValue) GetScore() float32 {
+	if x != nil && x.Score != nil {
+		return *x.Score
+	}
+	return 0
+}
+
+// Instances and metric spec for TrajectorySingleToolUse metric.
+type TrajectorySingleToolUseInput struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Required. Spec for TrajectorySingleToolUse metric.
+	MetricSpec *TrajectorySingleToolUseSpec `protobuf:"bytes,1,opt,name=metric_spec,json=metricSpec,proto3" json:"metric_spec,omitempty"`
+	// Required. Repeated TrajectorySingleToolUse instance.
+	Instances []*TrajectorySingleToolUseInstance `protobuf:"bytes,2,rep,name=instances,proto3" json:"instances,omitempty"`
+}
+
+func (x *TrajectorySingleToolUseInput) Reset() {
+	*x = TrajectorySingleToolUseInput{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[142]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *TrajectorySingleToolUseInput) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*TrajectorySingleToolUseInput) ProtoMessage() {}
+
+func (x *TrajectorySingleToolUseInput) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[142]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use TrajectorySingleToolUseInput.ProtoReflect.Descriptor instead.
+func (*TrajectorySingleToolUseInput) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{142}
+}
+
+func (x *TrajectorySingleToolUseInput) GetMetricSpec() *TrajectorySingleToolUseSpec {
+	if x != nil {
+		return x.MetricSpec
+	}
+	return nil
+}
+
+func (x *TrajectorySingleToolUseInput) GetInstances() []*TrajectorySingleToolUseInstance {
+	if x != nil {
+		return x.Instances
+	}
+	return nil
+}
+
+// Spec for TrajectorySingleToolUse metric - returns 1 if tool is present in the
+// predicted trajectory, else 0.
+type TrajectorySingleToolUseSpec struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Required. Spec for tool name to be checked for in the predicted trajectory.
+	ToolName *string `protobuf:"bytes,1,opt,name=tool_name,json=toolName,proto3,oneof" json:"tool_name,omitempty"`
+}
+
+func (x *TrajectorySingleToolUseSpec) Reset() {
+	*x = TrajectorySingleToolUseSpec{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[143]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *TrajectorySingleToolUseSpec) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*TrajectorySingleToolUseSpec) ProtoMessage() {}
+
+func (x *TrajectorySingleToolUseSpec) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[143]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use TrajectorySingleToolUseSpec.ProtoReflect.Descriptor instead.
+func (*TrajectorySingleToolUseSpec) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{143}
+}
+
+func (x *TrajectorySingleToolUseSpec) GetToolName() string {
+	if x != nil && x.ToolName != nil {
+		return *x.ToolName
+	}
+	return ""
+}
+
+// Spec for TrajectorySingleToolUse instance.
+type TrajectorySingleToolUseInstance struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Required. Spec for predicted tool call trajectory.
+	PredictedTrajectory *Trajectory `protobuf:"bytes,1,opt,name=predicted_trajectory,json=predictedTrajectory,proto3,oneof" json:"predicted_trajectory,omitempty"`
+}
+
+func (x *TrajectorySingleToolUseInstance) Reset() {
+	*x = TrajectorySingleToolUseInstance{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[144]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *TrajectorySingleToolUseInstance) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*TrajectorySingleToolUseInstance) ProtoMessage() {}
+
+func (x *TrajectorySingleToolUseInstance) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[144]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use TrajectorySingleToolUseInstance.ProtoReflect.Descriptor instead.
+func (*TrajectorySingleToolUseInstance) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{144}
+}
+
+func (x *TrajectorySingleToolUseInstance) GetPredictedTrajectory() *Trajectory {
+	if x != nil {
+		return x.PredictedTrajectory
+	}
+	return nil
+}
+
+// Results for TrajectorySingleToolUse metric.
+type TrajectorySingleToolUseResults struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Output only. TrajectorySingleToolUse metric values.
+	TrajectorySingleToolUseMetricValues []*TrajectorySingleToolUseMetricValue `protobuf:"bytes,1,rep,name=trajectory_single_tool_use_metric_values,json=trajectorySingleToolUseMetricValues,proto3" json:"trajectory_single_tool_use_metric_values,omitempty"`
+}
+
+func (x *TrajectorySingleToolUseResults) Reset() {
+	*x = TrajectorySingleToolUseResults{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[145]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *TrajectorySingleToolUseResults) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*TrajectorySingleToolUseResults) ProtoMessage() {}
+
+func (x *TrajectorySingleToolUseResults) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[145]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use TrajectorySingleToolUseResults.ProtoReflect.Descriptor instead.
+func (*TrajectorySingleToolUseResults) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{145}
+}
+
+func (x *TrajectorySingleToolUseResults) GetTrajectorySingleToolUseMetricValues() []*TrajectorySingleToolUseMetricValue {
+	if x != nil {
+		return x.TrajectorySingleToolUseMetricValues
+	}
+	return nil
+}
+
+// TrajectorySingleToolUse metric value for an instance.
+type TrajectorySingleToolUseMetricValue struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Output only. TrajectorySingleToolUse score.
+	Score *float32 `protobuf:"fixed32,1,opt,name=score,proto3,oneof" json:"score,omitempty"`
+}
+
+func (x *TrajectorySingleToolUseMetricValue) Reset() {
+	*x = TrajectorySingleToolUseMetricValue{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[146]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *TrajectorySingleToolUseMetricValue) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*TrajectorySingleToolUseMetricValue) ProtoMessage() {}
+
+func (x *TrajectorySingleToolUseMetricValue) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[146]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use TrajectorySingleToolUseMetricValue.ProtoReflect.Descriptor instead.
+func (*TrajectorySingleToolUseMetricValue) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{146}
+}
+
+func (x *TrajectorySingleToolUseMetricValue) GetScore() float32 {
+	if x != nil && x.Score != nil {
+		return *x.Score
+	}
+	return 0
+}
+
+// Spec for trajectory.
+type Trajectory struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Required. Tool calls in the trajectory.
+	ToolCalls []*ToolCall `protobuf:"bytes,1,rep,name=tool_calls,json=toolCalls,proto3" json:"tool_calls,omitempty"`
+}
+
+func (x *Trajectory) Reset() {
+	*x = Trajectory{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[147]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *Trajectory) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*Trajectory) ProtoMessage() {}
+
+func (x *Trajectory) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[147]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use Trajectory.ProtoReflect.Descriptor instead.
+func (*Trajectory) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{147}
+}
+
+func (x *Trajectory) GetToolCalls() []*ToolCall {
+	if x != nil {
+		return x.ToolCalls
+	}
+	return nil
+}
+
+// Spec for tool call.
+type ToolCall struct {
+	state         protoimpl.MessageState
+	sizeCache     protoimpl.SizeCache
+	unknownFields protoimpl.UnknownFields
+
+	// Required. Spec for tool name
+	ToolName *string `protobuf:"bytes,1,opt,name=tool_name,json=toolName,proto3,oneof" json:"tool_name,omitempty"`
+	// Optional. Spec for tool input
+	ToolInput *string `protobuf:"bytes,2,opt,name=tool_input,json=toolInput,proto3,oneof" json:"tool_input,omitempty"`
+}
+
+func (x *ToolCall) Reset() {
+	*x = ToolCall{}
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[148]
+	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+	ms.StoreMessageInfo(mi)
+}
+
+func (x *ToolCall) String() string {
+	return protoimpl.X.MessageStringOf(x)
+}
+
+func (*ToolCall) ProtoMessage() {}
+
+func (x *ToolCall) ProtoReflect() protoreflect.Message {
+	mi := &file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[148]
+	if x != nil {
+		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
+		if ms.LoadMessageInfo() == nil {
+			ms.StoreMessageInfo(mi)
+		}
+		return ms
+	}
+	return mi.MessageOf(x)
+}
+
+// Deprecated: Use ToolCall.ProtoReflect.Descriptor instead.
+func (*ToolCall) Descriptor() ([]byte, []int) {
+	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP(), []int{148}
+}
+
+func (x *ToolCall) GetToolName() string {
+	if x != nil && x.ToolName != nil {
+		return *x.ToolName
+	}
+	return ""
+}
+
+func (x *ToolCall) GetToolInput() string {
+	if x != nil && x.ToolInput != nil {
+		return *x.ToolInput
+	}
+	return ""
+}
+
+var File_google_cloud_aiplatform_v1beta1_evaluation_service_proto protoreflect.FileDescriptor
+
+var file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDesc = []byte{
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 }
 
 var (
@@ -11000,318 +11768,348 @@ func file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescGZIP()
 	return file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDescData
 }
 
-var file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes = make([]protoimpl.EnumInfo, 3)
-var file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes = make([]protoimpl.MessageInfo, 142)
+var file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_enumTypes = make([]protoimpl.EnumInfo, 4)
+var file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes = make([]protoimpl.MessageInfo, 149)
 var file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_goTypes = []any{
 	(PairwiseChoice)(0),                              // 0: google.cloud.aiplatform.v1beta1.PairwiseChoice
-	(CometSpec_CometVersion)(0),                      // 1: google.cloud.aiplatform.v1beta1.CometSpec.CometVersion
-	(MetricxSpec_MetricxVersion)(0),                  // 2: google.cloud.aiplatform.v1beta1.MetricxSpec.MetricxVersion
-	(*AutoraterConfig)(nil),                          // 3: google.cloud.aiplatform.v1beta1.AutoraterConfig
-	(*EvaluateInstancesRequest)(nil),                 // 4: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest
-	(*EvaluateInstancesResponse)(nil),                // 5: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse
-	(*ExactMatchInput)(nil),                          // 6: google.cloud.aiplatform.v1beta1.ExactMatchInput
-	(*ExactMatchInstance)(nil),                       // 7: google.cloud.aiplatform.v1beta1.ExactMatchInstance
-	(*ExactMatchSpec)(nil),                           // 8: google.cloud.aiplatform.v1beta1.ExactMatchSpec
-	(*ExactMatchResults)(nil),                        // 9: google.cloud.aiplatform.v1beta1.ExactMatchResults
-	(*ExactMatchMetricValue)(nil),                    // 10: google.cloud.aiplatform.v1beta1.ExactMatchMetricValue
-	(*BleuInput)(nil),                                // 11: google.cloud.aiplatform.v1beta1.BleuInput
-	(*BleuInstance)(nil),                             // 12: google.cloud.aiplatform.v1beta1.BleuInstance
-	(*BleuSpec)(nil),                                 // 13: google.cloud.aiplatform.v1beta1.BleuSpec
-	(*BleuResults)(nil),                              // 14: google.cloud.aiplatform.v1beta1.BleuResults
-	(*BleuMetricValue)(nil),                          // 15: google.cloud.aiplatform.v1beta1.BleuMetricValue
-	(*RougeInput)(nil),                               // 16: google.cloud.aiplatform.v1beta1.RougeInput
-	(*RougeInstance)(nil),                            // 17: google.cloud.aiplatform.v1beta1.RougeInstance
-	(*RougeSpec)(nil),                                // 18: google.cloud.aiplatform.v1beta1.RougeSpec
-	(*RougeResults)(nil),                             // 19: google.cloud.aiplatform.v1beta1.RougeResults
-	(*RougeMetricValue)(nil),                         // 20: google.cloud.aiplatform.v1beta1.RougeMetricValue
-	(*CoherenceInput)(nil),                           // 21: google.cloud.aiplatform.v1beta1.CoherenceInput
-	(*CoherenceInstance)(nil),                        // 22: google.cloud.aiplatform.v1beta1.CoherenceInstance
-	(*CoherenceSpec)(nil),                            // 23: google.cloud.aiplatform.v1beta1.CoherenceSpec
-	(*CoherenceResult)(nil),                          // 24: google.cloud.aiplatform.v1beta1.CoherenceResult
-	(*FluencyInput)(nil),                             // 25: google.cloud.aiplatform.v1beta1.FluencyInput
-	(*FluencyInstance)(nil),                          // 26: google.cloud.aiplatform.v1beta1.FluencyInstance
-	(*FluencySpec)(nil),                              // 27: google.cloud.aiplatform.v1beta1.FluencySpec
-	(*FluencyResult)(nil),                            // 28: google.cloud.aiplatform.v1beta1.FluencyResult
-	(*SafetyInput)(nil),                              // 29: google.cloud.aiplatform.v1beta1.SafetyInput
-	(*SafetyInstance)(nil),                           // 30: google.cloud.aiplatform.v1beta1.SafetyInstance
-	(*SafetySpec)(nil),                               // 31: google.cloud.aiplatform.v1beta1.SafetySpec
-	(*SafetyResult)(nil),                             // 32: google.cloud.aiplatform.v1beta1.SafetyResult
-	(*GroundednessInput)(nil),                        // 33: google.cloud.aiplatform.v1beta1.GroundednessInput
-	(*GroundednessInstance)(nil),                     // 34: google.cloud.aiplatform.v1beta1.GroundednessInstance
-	(*GroundednessSpec)(nil),                         // 35: google.cloud.aiplatform.v1beta1.GroundednessSpec
-	(*GroundednessResult)(nil),                       // 36: google.cloud.aiplatform.v1beta1.GroundednessResult
-	(*FulfillmentInput)(nil),                         // 37: google.cloud.aiplatform.v1beta1.FulfillmentInput
-	(*FulfillmentInstance)(nil),                      // 38: google.cloud.aiplatform.v1beta1.FulfillmentInstance
-	(*FulfillmentSpec)(nil),                          // 39: google.cloud.aiplatform.v1beta1.FulfillmentSpec
-	(*FulfillmentResult)(nil),                        // 40: google.cloud.aiplatform.v1beta1.FulfillmentResult
-	(*SummarizationQualityInput)(nil),                // 41: google.cloud.aiplatform.v1beta1.SummarizationQualityInput
-	(*SummarizationQualityInstance)(nil),             // 42: google.cloud.aiplatform.v1beta1.SummarizationQualityInstance
-	(*SummarizationQualitySpec)(nil),                 // 43: google.cloud.aiplatform.v1beta1.SummarizationQualitySpec
-	(*SummarizationQualityResult)(nil),               // 44: google.cloud.aiplatform.v1beta1.SummarizationQualityResult
-	(*PairwiseSummarizationQualityInput)(nil),        // 45: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput
-	(*PairwiseSummarizationQualityInstance)(nil),     // 46: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInstance
-	(*PairwiseSummarizationQualitySpec)(nil),         // 47: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualitySpec
-	(*PairwiseSummarizationQualityResult)(nil),       // 48: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityResult
-	(*SummarizationHelpfulnessInput)(nil),            // 49: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput
-	(*SummarizationHelpfulnessInstance)(nil),         // 50: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInstance
-	(*SummarizationHelpfulnessSpec)(nil),             // 51: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessSpec
-	(*SummarizationHelpfulnessResult)(nil),           // 52: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessResult
-	(*SummarizationVerbosityInput)(nil),              // 53: google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput
-	(*SummarizationVerbosityInstance)(nil),           // 54: google.cloud.aiplatform.v1beta1.SummarizationVerbosityInstance
-	(*SummarizationVerbositySpec)(nil),               // 55: google.cloud.aiplatform.v1beta1.SummarizationVerbositySpec
-	(*SummarizationVerbosityResult)(nil),             // 56: google.cloud.aiplatform.v1beta1.SummarizationVerbosityResult
-	(*QuestionAnsweringQualityInput)(nil),            // 57: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput
-	(*QuestionAnsweringQualityInstance)(nil),         // 58: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInstance
-	(*QuestionAnsweringQualitySpec)(nil),             // 59: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualitySpec
-	(*QuestionAnsweringQualityResult)(nil),           // 60: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityResult
-	(*PairwiseQuestionAnsweringQualityInput)(nil),    // 61: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput
-	(*PairwiseQuestionAnsweringQualityInstance)(nil), // 62: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInstance
-	(*PairwiseQuestionAnsweringQualitySpec)(nil),     // 63: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualitySpec
-	(*PairwiseQuestionAnsweringQualityResult)(nil),   // 64: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityResult
-	(*QuestionAnsweringRelevanceInput)(nil),          // 65: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput
-	(*QuestionAnsweringRelevanceInstance)(nil),       // 66: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInstance
-	(*QuestionAnsweringRelevanceSpec)(nil),           // 67: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceSpec
-	(*QuestionAnsweringRelevanceResult)(nil),         // 68: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceResult
-	(*QuestionAnsweringHelpfulnessInput)(nil),        // 69: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput
-	(*QuestionAnsweringHelpfulnessInstance)(nil),     // 70: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInstance
-	(*QuestionAnsweringHelpfulnessSpec)(nil),         // 71: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessSpec
-	(*QuestionAnsweringHelpfulnessResult)(nil),       // 72: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessResult
-	(*QuestionAnsweringCorrectnessInput)(nil),        // 73: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput
-	(*QuestionAnsweringCorrectnessInstance)(nil),     // 74: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInstance
-	(*QuestionAnsweringCorrectnessSpec)(nil),         // 75: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessSpec
-	(*QuestionAnsweringCorrectnessResult)(nil),       // 76: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessResult
-	(*PointwiseMetricInput)(nil),                     // 77: google.cloud.aiplatform.v1beta1.PointwiseMetricInput
-	(*PointwiseMetricInstance)(nil),                  // 78: google.cloud.aiplatform.v1beta1.PointwiseMetricInstance
-	(*PointwiseMetricSpec)(nil),                      // 79: google.cloud.aiplatform.v1beta1.PointwiseMetricSpec
-	(*PointwiseMetricResult)(nil),                    // 80: google.cloud.aiplatform.v1beta1.PointwiseMetricResult
-	(*PairwiseMetricInput)(nil),                      // 81: google.cloud.aiplatform.v1beta1.PairwiseMetricInput
-	(*PairwiseMetricInstance)(nil),                   // 82: google.cloud.aiplatform.v1beta1.PairwiseMetricInstance
-	(*PairwiseMetricSpec)(nil),                       // 83: google.cloud.aiplatform.v1beta1.PairwiseMetricSpec
-	(*PairwiseMetricResult)(nil),                     // 84: google.cloud.aiplatform.v1beta1.PairwiseMetricResult
-	(*ToolCallValidInput)(nil),                       // 85: google.cloud.aiplatform.v1beta1.ToolCallValidInput
-	(*ToolCallValidSpec)(nil),                        // 86: google.cloud.aiplatform.v1beta1.ToolCallValidSpec
-	(*ToolCallValidInstance)(nil),                    // 87: google.cloud.aiplatform.v1beta1.ToolCallValidInstance
-	(*ToolCallValidResults)(nil),                     // 88: google.cloud.aiplatform.v1beta1.ToolCallValidResults
-	(*ToolCallValidMetricValue)(nil),                 // 89: google.cloud.aiplatform.v1beta1.ToolCallValidMetricValue
-	(*ToolNameMatchInput)(nil),                       // 90: google.cloud.aiplatform.v1beta1.ToolNameMatchInput
-	(*ToolNameMatchSpec)(nil),                        // 91: google.cloud.aiplatform.v1beta1.ToolNameMatchSpec
-	(*ToolNameMatchInstance)(nil),                    // 92: google.cloud.aiplatform.v1beta1.ToolNameMatchInstance
-	(*ToolNameMatchResults)(nil),                     // 93: google.cloud.aiplatform.v1beta1.ToolNameMatchResults
-	(*ToolNameMatchMetricValue)(nil),                 // 94: google.cloud.aiplatform.v1beta1.ToolNameMatchMetricValue
-	(*ToolParameterKeyMatchInput)(nil),               // 95: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput
-	(*ToolParameterKeyMatchSpec)(nil),                // 96: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchSpec
-	(*ToolParameterKeyMatchInstance)(nil),            // 97: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInstance
-	(*ToolParameterKeyMatchResults)(nil),             // 98: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchResults
-	(*ToolParameterKeyMatchMetricValue)(nil),         // 99: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchMetricValue
-	(*ToolParameterKVMatchInput)(nil),                // 100: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput
-	(*ToolParameterKVMatchSpec)(nil),                 // 101: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchSpec
-	(*ToolParameterKVMatchInstance)(nil),             // 102: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInstance
-	(*ToolParameterKVMatchResults)(nil),              // 103: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchResults
-	(*ToolParameterKVMatchMetricValue)(nil),          // 104: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchMetricValue
-	(*CometInput)(nil),                               // 105: google.cloud.aiplatform.v1beta1.CometInput
-	(*CometSpec)(nil),                                // 106: google.cloud.aiplatform.v1beta1.CometSpec
-	(*CometInstance)(nil),                            // 107: google.cloud.aiplatform.v1beta1.CometInstance
-	(*CometResult)(nil),                              // 108: google.cloud.aiplatform.v1beta1.CometResult
-	(*MetricxInput)(nil),                             // 109: google.cloud.aiplatform.v1beta1.MetricxInput
-	(*MetricxSpec)(nil),                              // 110: google.cloud.aiplatform.v1beta1.MetricxSpec
-	(*MetricxInstance)(nil),                          // 111: google.cloud.aiplatform.v1beta1.MetricxInstance
-	(*MetricxResult)(nil),                            // 112: google.cloud.aiplatform.v1beta1.MetricxResult
-	(*TrajectoryExactMatchInput)(nil),                // 113: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInput
-	(*TrajectoryExactMatchSpec)(nil),                 // 114: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchSpec
-	(*TrajectoryExactMatchInstance)(nil),             // 115: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInstance
-	(*TrajectoryExactMatchResults)(nil),              // 116: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchResults
-	(*TrajectoryExactMatchMetricValue)(nil),          // 117: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchMetricValue
-	(*TrajectoryInOrderMatchInput)(nil),              // 118: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInput
-	(*TrajectoryInOrderMatchSpec)(nil),               // 119: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchSpec
-	(*TrajectoryInOrderMatchInstance)(nil),           // 120: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInstance
-	(*TrajectoryInOrderMatchResults)(nil),            // 121: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchResults
-	(*TrajectoryInOrderMatchMetricValue)(nil),        // 122: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchMetricValue
-	(*TrajectoryAnyOrderMatchInput)(nil),             // 123: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInput
-	(*TrajectoryAnyOrderMatchSpec)(nil),              // 124: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchSpec
-	(*TrajectoryAnyOrderMatchInstance)(nil),          // 125: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInstance
-	(*TrajectoryAnyOrderMatchResults)(nil),           // 126: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchResults
-	(*TrajectoryAnyOrderMatchMetricValue)(nil),       // 127: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchMetricValue
-	(*TrajectoryPrecisionInput)(nil),                 // 128: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInput
-	(*TrajectoryPrecisionSpec)(nil),                  // 129: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionSpec
-	(*TrajectoryPrecisionInstance)(nil),              // 130: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInstance
-	(*TrajectoryPrecisionResults)(nil),               // 131: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionResults
-	(*TrajectoryPrecisionMetricValue)(nil),           // 132: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionMetricValue
-	(*TrajectoryRecallInput)(nil),                    // 133: google.cloud.aiplatform.v1beta1.TrajectoryRecallInput
-	(*TrajectoryRecallSpec)(nil),                     // 134: google.cloud.aiplatform.v1beta1.TrajectoryRecallSpec
-	(*TrajectoryRecallInstance)(nil),                 // 135: google.cloud.aiplatform.v1beta1.TrajectoryRecallInstance
-	(*TrajectoryRecallResults)(nil),                  // 136: google.cloud.aiplatform.v1beta1.TrajectoryRecallResults
-	(*TrajectoryRecallMetricValue)(nil),              // 137: google.cloud.aiplatform.v1beta1.TrajectoryRecallMetricValue
-	(*TrajectorySingleToolUseInput)(nil),             // 138: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInput
-	(*TrajectorySingleToolUseSpec)(nil),              // 139: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseSpec
-	(*TrajectorySingleToolUseInstance)(nil),          // 140: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInstance
-	(*TrajectorySingleToolUseResults)(nil),           // 141: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseResults
-	(*TrajectorySingleToolUseMetricValue)(nil),       // 142: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseMetricValue
-	(*Trajectory)(nil),                               // 143: google.cloud.aiplatform.v1beta1.Trajectory
-	(*ToolCall)(nil),                                 // 144: google.cloud.aiplatform.v1beta1.ToolCall
+	(Metric_AggregationMetric)(0),                    // 1: google.cloud.aiplatform.v1beta1.Metric.AggregationMetric
+	(CometSpec_CometVersion)(0),                      // 2: google.cloud.aiplatform.v1beta1.CometSpec.CometVersion
+	(MetricxSpec_MetricxVersion)(0),                  // 3: google.cloud.aiplatform.v1beta1.MetricxSpec.MetricxVersion
+	(*EvaluateDatasetOperationMetadata)(nil),         // 4: google.cloud.aiplatform.v1beta1.EvaluateDatasetOperationMetadata
+	(*EvaluateDatasetResponse)(nil),                  // 5: google.cloud.aiplatform.v1beta1.EvaluateDatasetResponse
+	(*OutputInfo)(nil),                               // 6: google.cloud.aiplatform.v1beta1.OutputInfo
+	(*EvaluateDatasetRequest)(nil),                   // 7: google.cloud.aiplatform.v1beta1.EvaluateDatasetRequest
+	(*OutputConfig)(nil),                             // 8: google.cloud.aiplatform.v1beta1.OutputConfig
+	(*Metric)(nil),                                   // 9: google.cloud.aiplatform.v1beta1.Metric
+	(*EvaluationDataset)(nil),                        // 10: google.cloud.aiplatform.v1beta1.EvaluationDataset
+	(*AutoraterConfig)(nil),                          // 11: google.cloud.aiplatform.v1beta1.AutoraterConfig
+	(*EvaluateInstancesRequest)(nil),                 // 12: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest
+	(*EvaluateInstancesResponse)(nil),                // 13: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse
+	(*ExactMatchInput)(nil),                          // 14: google.cloud.aiplatform.v1beta1.ExactMatchInput
+	(*ExactMatchInstance)(nil),                       // 15: google.cloud.aiplatform.v1beta1.ExactMatchInstance
+	(*ExactMatchSpec)(nil),                           // 16: google.cloud.aiplatform.v1beta1.ExactMatchSpec
+	(*ExactMatchResults)(nil),                        // 17: google.cloud.aiplatform.v1beta1.ExactMatchResults
+	(*ExactMatchMetricValue)(nil),                    // 18: google.cloud.aiplatform.v1beta1.ExactMatchMetricValue
+	(*BleuInput)(nil),                                // 19: google.cloud.aiplatform.v1beta1.BleuInput
+	(*BleuInstance)(nil),                             // 20: google.cloud.aiplatform.v1beta1.BleuInstance
+	(*BleuSpec)(nil),                                 // 21: google.cloud.aiplatform.v1beta1.BleuSpec
+	(*BleuResults)(nil),                              // 22: google.cloud.aiplatform.v1beta1.BleuResults
+	(*BleuMetricValue)(nil),                          // 23: google.cloud.aiplatform.v1beta1.BleuMetricValue
+	(*RougeInput)(nil),                               // 24: google.cloud.aiplatform.v1beta1.RougeInput
+	(*RougeInstance)(nil),                            // 25: google.cloud.aiplatform.v1beta1.RougeInstance
+	(*RougeSpec)(nil),                                // 26: google.cloud.aiplatform.v1beta1.RougeSpec
+	(*RougeResults)(nil),                             // 27: google.cloud.aiplatform.v1beta1.RougeResults
+	(*RougeMetricValue)(nil),                         // 28: google.cloud.aiplatform.v1beta1.RougeMetricValue
+	(*CoherenceInput)(nil),                           // 29: google.cloud.aiplatform.v1beta1.CoherenceInput
+	(*CoherenceInstance)(nil),                        // 30: google.cloud.aiplatform.v1beta1.CoherenceInstance
+	(*CoherenceSpec)(nil),                            // 31: google.cloud.aiplatform.v1beta1.CoherenceSpec
+	(*CoherenceResult)(nil),                          // 32: google.cloud.aiplatform.v1beta1.CoherenceResult
+	(*FluencyInput)(nil),                             // 33: google.cloud.aiplatform.v1beta1.FluencyInput
+	(*FluencyInstance)(nil),                          // 34: google.cloud.aiplatform.v1beta1.FluencyInstance
+	(*FluencySpec)(nil),                              // 35: google.cloud.aiplatform.v1beta1.FluencySpec
+	(*FluencyResult)(nil),                            // 36: google.cloud.aiplatform.v1beta1.FluencyResult
+	(*SafetyInput)(nil),                              // 37: google.cloud.aiplatform.v1beta1.SafetyInput
+	(*SafetyInstance)(nil),                           // 38: google.cloud.aiplatform.v1beta1.SafetyInstance
+	(*SafetySpec)(nil),                               // 39: google.cloud.aiplatform.v1beta1.SafetySpec
+	(*SafetyResult)(nil),                             // 40: google.cloud.aiplatform.v1beta1.SafetyResult
+	(*GroundednessInput)(nil),                        // 41: google.cloud.aiplatform.v1beta1.GroundednessInput
+	(*GroundednessInstance)(nil),                     // 42: google.cloud.aiplatform.v1beta1.GroundednessInstance
+	(*GroundednessSpec)(nil),                         // 43: google.cloud.aiplatform.v1beta1.GroundednessSpec
+	(*GroundednessResult)(nil),                       // 44: google.cloud.aiplatform.v1beta1.GroundednessResult
+	(*FulfillmentInput)(nil),                         // 45: google.cloud.aiplatform.v1beta1.FulfillmentInput
+	(*FulfillmentInstance)(nil),                      // 46: google.cloud.aiplatform.v1beta1.FulfillmentInstance
+	(*FulfillmentSpec)(nil),                          // 47: google.cloud.aiplatform.v1beta1.FulfillmentSpec
+	(*FulfillmentResult)(nil),                        // 48: google.cloud.aiplatform.v1beta1.FulfillmentResult
+	(*SummarizationQualityInput)(nil),                // 49: google.cloud.aiplatform.v1beta1.SummarizationQualityInput
+	(*SummarizationQualityInstance)(nil),             // 50: google.cloud.aiplatform.v1beta1.SummarizationQualityInstance
+	(*SummarizationQualitySpec)(nil),                 // 51: google.cloud.aiplatform.v1beta1.SummarizationQualitySpec
+	(*SummarizationQualityResult)(nil),               // 52: google.cloud.aiplatform.v1beta1.SummarizationQualityResult
+	(*PairwiseSummarizationQualityInput)(nil),        // 53: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput
+	(*PairwiseSummarizationQualityInstance)(nil),     // 54: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInstance
+	(*PairwiseSummarizationQualitySpec)(nil),         // 55: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualitySpec
+	(*PairwiseSummarizationQualityResult)(nil),       // 56: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityResult
+	(*SummarizationHelpfulnessInput)(nil),            // 57: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput
+	(*SummarizationHelpfulnessInstance)(nil),         // 58: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInstance
+	(*SummarizationHelpfulnessSpec)(nil),             // 59: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessSpec
+	(*SummarizationHelpfulnessResult)(nil),           // 60: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessResult
+	(*SummarizationVerbosityInput)(nil),              // 61: google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput
+	(*SummarizationVerbosityInstance)(nil),           // 62: google.cloud.aiplatform.v1beta1.SummarizationVerbosityInstance
+	(*SummarizationVerbositySpec)(nil),               // 63: google.cloud.aiplatform.v1beta1.SummarizationVerbositySpec
+	(*SummarizationVerbosityResult)(nil),             // 64: google.cloud.aiplatform.v1beta1.SummarizationVerbosityResult
+	(*QuestionAnsweringQualityInput)(nil),            // 65: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput
+	(*QuestionAnsweringQualityInstance)(nil),         // 66: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInstance
+	(*QuestionAnsweringQualitySpec)(nil),             // 67: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualitySpec
+	(*QuestionAnsweringQualityResult)(nil),           // 68: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityResult
+	(*PairwiseQuestionAnsweringQualityInput)(nil),    // 69: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput
+	(*PairwiseQuestionAnsweringQualityInstance)(nil), // 70: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInstance
+	(*PairwiseQuestionAnsweringQualitySpec)(nil),     // 71: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualitySpec
+	(*PairwiseQuestionAnsweringQualityResult)(nil),   // 72: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityResult
+	(*QuestionAnsweringRelevanceInput)(nil),          // 73: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput
+	(*QuestionAnsweringRelevanceInstance)(nil),       // 74: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInstance
+	(*QuestionAnsweringRelevanceSpec)(nil),           // 75: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceSpec
+	(*QuestionAnsweringRelevanceResult)(nil),         // 76: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceResult
+	(*QuestionAnsweringHelpfulnessInput)(nil),        // 77: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput
+	(*QuestionAnsweringHelpfulnessInstance)(nil),     // 78: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInstance
+	(*QuestionAnsweringHelpfulnessSpec)(nil),         // 79: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessSpec
+	(*QuestionAnsweringHelpfulnessResult)(nil),       // 80: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessResult
+	(*QuestionAnsweringCorrectnessInput)(nil),        // 81: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput
+	(*QuestionAnsweringCorrectnessInstance)(nil),     // 82: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInstance
+	(*QuestionAnsweringCorrectnessSpec)(nil),         // 83: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessSpec
+	(*QuestionAnsweringCorrectnessResult)(nil),       // 84: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessResult
+	(*PointwiseMetricInput)(nil),                     // 85: google.cloud.aiplatform.v1beta1.PointwiseMetricInput
+	(*PointwiseMetricInstance)(nil),                  // 86: google.cloud.aiplatform.v1beta1.PointwiseMetricInstance
+	(*PointwiseMetricSpec)(nil),                      // 87: google.cloud.aiplatform.v1beta1.PointwiseMetricSpec
+	(*PointwiseMetricResult)(nil),                    // 88: google.cloud.aiplatform.v1beta1.PointwiseMetricResult
+	(*PairwiseMetricInput)(nil),                      // 89: google.cloud.aiplatform.v1beta1.PairwiseMetricInput
+	(*PairwiseMetricInstance)(nil),                   // 90: google.cloud.aiplatform.v1beta1.PairwiseMetricInstance
+	(*PairwiseMetricSpec)(nil),                       // 91: google.cloud.aiplatform.v1beta1.PairwiseMetricSpec
+	(*PairwiseMetricResult)(nil),                     // 92: google.cloud.aiplatform.v1beta1.PairwiseMetricResult
+	(*ToolCallValidInput)(nil),                       // 93: google.cloud.aiplatform.v1beta1.ToolCallValidInput
+	(*ToolCallValidSpec)(nil),                        // 94: google.cloud.aiplatform.v1beta1.ToolCallValidSpec
+	(*ToolCallValidInstance)(nil),                    // 95: google.cloud.aiplatform.v1beta1.ToolCallValidInstance
+	(*ToolCallValidResults)(nil),                     // 96: google.cloud.aiplatform.v1beta1.ToolCallValidResults
+	(*ToolCallValidMetricValue)(nil),                 // 97: google.cloud.aiplatform.v1beta1.ToolCallValidMetricValue
+	(*ToolNameMatchInput)(nil),                       // 98: google.cloud.aiplatform.v1beta1.ToolNameMatchInput
+	(*ToolNameMatchSpec)(nil),                        // 99: google.cloud.aiplatform.v1beta1.ToolNameMatchSpec
+	(*ToolNameMatchInstance)(nil),                    // 100: google.cloud.aiplatform.v1beta1.ToolNameMatchInstance
+	(*ToolNameMatchResults)(nil),                     // 101: google.cloud.aiplatform.v1beta1.ToolNameMatchResults
+	(*ToolNameMatchMetricValue)(nil),                 // 102: google.cloud.aiplatform.v1beta1.ToolNameMatchMetricValue
+	(*ToolParameterKeyMatchInput)(nil),               // 103: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput
+	(*ToolParameterKeyMatchSpec)(nil),                // 104: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchSpec
+	(*ToolParameterKeyMatchInstance)(nil),            // 105: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInstance
+	(*ToolParameterKeyMatchResults)(nil),             // 106: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchResults
+	(*ToolParameterKeyMatchMetricValue)(nil),         // 107: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchMetricValue
+	(*ToolParameterKVMatchInput)(nil),                // 108: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput
+	(*ToolParameterKVMatchSpec)(nil),                 // 109: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchSpec
+	(*ToolParameterKVMatchInstance)(nil),             // 110: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInstance
+	(*ToolParameterKVMatchResults)(nil),              // 111: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchResults
+	(*ToolParameterKVMatchMetricValue)(nil),          // 112: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchMetricValue
+	(*CometInput)(nil),                               // 113: google.cloud.aiplatform.v1beta1.CometInput
+	(*CometSpec)(nil),                                // 114: google.cloud.aiplatform.v1beta1.CometSpec
+	(*CometInstance)(nil),                            // 115: google.cloud.aiplatform.v1beta1.CometInstance
+	(*CometResult)(nil),                              // 116: google.cloud.aiplatform.v1beta1.CometResult
+	(*MetricxInput)(nil),                             // 117: google.cloud.aiplatform.v1beta1.MetricxInput
+	(*MetricxSpec)(nil),                              // 118: google.cloud.aiplatform.v1beta1.MetricxSpec
+	(*MetricxInstance)(nil),                          // 119: google.cloud.aiplatform.v1beta1.MetricxInstance
+	(*MetricxResult)(nil),                            // 120: google.cloud.aiplatform.v1beta1.MetricxResult
+	(*TrajectoryExactMatchInput)(nil),                // 121: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInput
+	(*TrajectoryExactMatchSpec)(nil),                 // 122: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchSpec
+	(*TrajectoryExactMatchInstance)(nil),             // 123: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInstance
+	(*TrajectoryExactMatchResults)(nil),              // 124: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchResults
+	(*TrajectoryExactMatchMetricValue)(nil),          // 125: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchMetricValue
+	(*TrajectoryInOrderMatchInput)(nil),              // 126: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInput
+	(*TrajectoryInOrderMatchSpec)(nil),               // 127: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchSpec
+	(*TrajectoryInOrderMatchInstance)(nil),           // 128: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInstance
+	(*TrajectoryInOrderMatchResults)(nil),            // 129: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchResults
+	(*TrajectoryInOrderMatchMetricValue)(nil),        // 130: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchMetricValue
+	(*TrajectoryAnyOrderMatchInput)(nil),             // 131: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInput
+	(*TrajectoryAnyOrderMatchSpec)(nil),              // 132: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchSpec
+	(*TrajectoryAnyOrderMatchInstance)(nil),          // 133: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInstance
+	(*TrajectoryAnyOrderMatchResults)(nil),           // 134: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchResults
+	(*TrajectoryAnyOrderMatchMetricValue)(nil),       // 135: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchMetricValue
+	(*TrajectoryPrecisionInput)(nil),                 // 136: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInput
+	(*TrajectoryPrecisionSpec)(nil),                  // 137: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionSpec
+	(*TrajectoryPrecisionInstance)(nil),              // 138: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInstance
+	(*TrajectoryPrecisionResults)(nil),               // 139: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionResults
+	(*TrajectoryPrecisionMetricValue)(nil),           // 140: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionMetricValue
+	(*TrajectoryRecallInput)(nil),                    // 141: google.cloud.aiplatform.v1beta1.TrajectoryRecallInput
+	(*TrajectoryRecallSpec)(nil),                     // 142: google.cloud.aiplatform.v1beta1.TrajectoryRecallSpec
+	(*TrajectoryRecallInstance)(nil),                 // 143: google.cloud.aiplatform.v1beta1.TrajectoryRecallInstance
+	(*TrajectoryRecallResults)(nil),                  // 144: google.cloud.aiplatform.v1beta1.TrajectoryRecallResults
+	(*TrajectoryRecallMetricValue)(nil),              // 145: google.cloud.aiplatform.v1beta1.TrajectoryRecallMetricValue
+	(*TrajectorySingleToolUseInput)(nil),             // 146: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInput
+	(*TrajectorySingleToolUseSpec)(nil),              // 147: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseSpec
+	(*TrajectorySingleToolUseInstance)(nil),          // 148: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInstance
+	(*TrajectorySingleToolUseResults)(nil),           // 149: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseResults
+	(*TrajectorySingleToolUseMetricValue)(nil),       // 150: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseMetricValue
+	(*Trajectory)(nil),                               // 151: google.cloud.aiplatform.v1beta1.Trajectory
+	(*ToolCall)(nil),                                 // 152: google.cloud.aiplatform.v1beta1.ToolCall
+	(*GenericOperationMetadata)(nil),                 // 153: google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+	(*GcsDestination)(nil),                           // 154: google.cloud.aiplatform.v1beta1.GcsDestination
+	(*GcsSource)(nil),                                // 155: google.cloud.aiplatform.v1beta1.GcsSource
+	(*BigQuerySource)(nil),                           // 156: google.cloud.aiplatform.v1beta1.BigQuerySource
+	(*longrunningpb.Operation)(nil),                  // 157: google.longrunning.Operation
 }
 var file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_depIdxs = []int32{
-	6,   // 0: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.exact_match_input:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchInput
-	11,  // 1: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.bleu_input:type_name -> google.cloud.aiplatform.v1beta1.BleuInput
-	16,  // 2: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.rouge_input:type_name -> google.cloud.aiplatform.v1beta1.RougeInput
-	25,  // 3: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.fluency_input:type_name -> google.cloud.aiplatform.v1beta1.FluencyInput
-	21,  // 4: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.coherence_input:type_name -> google.cloud.aiplatform.v1beta1.CoherenceInput
-	29,  // 5: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.safety_input:type_name -> google.cloud.aiplatform.v1beta1.SafetyInput
-	33,  // 6: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.groundedness_input:type_name -> google.cloud.aiplatform.v1beta1.GroundednessInput
-	37,  // 7: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.fulfillment_input:type_name -> google.cloud.aiplatform.v1beta1.FulfillmentInput
-	41,  // 8: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.summarization_quality_input:type_name -> google.cloud.aiplatform.v1beta1.SummarizationQualityInput
-	45,  // 9: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.pairwise_summarization_quality_input:type_name -> google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput
-	49,  // 10: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.summarization_helpfulness_input:type_name -> google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput
-	53,  // 11: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.summarization_verbosity_input:type_name -> google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput
-	57,  // 12: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.question_answering_quality_input:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput
-	61,  // 13: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.pairwise_question_answering_quality_input:type_name -> google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput
-	65,  // 14: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.question_answering_relevance_input:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput
-	69,  // 15: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.question_answering_helpfulness_input:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput
-	73,  // 16: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.question_answering_correctness_input:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput
-	77,  // 17: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.pointwise_metric_input:type_name -> google.cloud.aiplatform.v1beta1.PointwiseMetricInput
-	81,  // 18: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.pairwise_metric_input:type_name -> google.cloud.aiplatform.v1beta1.PairwiseMetricInput
-	85,  // 19: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.tool_call_valid_input:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidInput
-	90,  // 20: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.tool_name_match_input:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchInput
-	95,  // 21: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.tool_parameter_key_match_input:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput
-	100, // 22: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.tool_parameter_kv_match_input:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput
-	105, // 23: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.comet_input:type_name -> google.cloud.aiplatform.v1beta1.CometInput
-	109, // 24: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.metricx_input:type_name -> google.cloud.aiplatform.v1beta1.MetricxInput
-	113, // 25: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_exact_match_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInput
-	118, // 26: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_in_order_match_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInput
-	123, // 27: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_any_order_match_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInput
-	128, // 28: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_precision_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInput
-	133, // 29: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_recall_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallInput
-	138, // 30: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_single_tool_use_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInput
-	3,   // 31: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.autorater_config:type_name -> google.cloud.aiplatform.v1beta1.AutoraterConfig
-	9,   // 32: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.exact_match_results:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchResults
-	14,  // 33: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.bleu_results:type_name -> google.cloud.aiplatform.v1beta1.BleuResults
-	19,  // 34: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.rouge_results:type_name -> google.cloud.aiplatform.v1beta1.RougeResults
-	28,  // 35: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.fluency_result:type_name -> google.cloud.aiplatform.v1beta1.FluencyResult
-	24,  // 36: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.coherence_result:type_name -> google.cloud.aiplatform.v1beta1.CoherenceResult
-	32,  // 37: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.safety_result:type_name -> google.cloud.aiplatform.v1beta1.SafetyResult
-	36,  // 38: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.groundedness_result:type_name -> google.cloud.aiplatform.v1beta1.GroundednessResult
-	40,  // 39: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.fulfillment_result:type_name -> google.cloud.aiplatform.v1beta1.FulfillmentResult
-	44,  // 40: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.summarization_quality_result:type_name -> google.cloud.aiplatform.v1beta1.SummarizationQualityResult
-	48,  // 41: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.pairwise_summarization_quality_result:type_name -> google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityResult
-	52,  // 42: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.summarization_helpfulness_result:type_name -> google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessResult
-	56,  // 43: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.summarization_verbosity_result:type_name -> google.cloud.aiplatform.v1beta1.SummarizationVerbosityResult
-	60,  // 44: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.question_answering_quality_result:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityResult
-	64,  // 45: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.pairwise_question_answering_quality_result:type_name -> google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityResult
-	68,  // 46: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.question_answering_relevance_result:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceResult
-	72,  // 47: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.question_answering_helpfulness_result:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessResult
-	76,  // 48: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.question_answering_correctness_result:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessResult
-	80,  // 49: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.pointwise_metric_result:type_name -> google.cloud.aiplatform.v1beta1.PointwiseMetricResult
-	84,  // 50: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.pairwise_metric_result:type_name -> google.cloud.aiplatform.v1beta1.PairwiseMetricResult
-	88,  // 51: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.tool_call_valid_results:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidResults
-	93,  // 52: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.tool_name_match_results:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchResults
-	98,  // 53: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.tool_parameter_key_match_results:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchResults
-	103, // 54: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.tool_parameter_kv_match_results:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchResults
-	108, // 55: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.comet_result:type_name -> google.cloud.aiplatform.v1beta1.CometResult
-	112, // 56: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.metricx_result:type_name -> google.cloud.aiplatform.v1beta1.MetricxResult
-	116, // 57: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_exact_match_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchResults
-	121, // 58: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_in_order_match_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchResults
-	126, // 59: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_any_order_match_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchResults
-	131, // 60: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_precision_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionResults
-	136, // 61: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_recall_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallResults
-	141, // 62: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_single_tool_use_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseResults
-	8,   // 63: google.cloud.aiplatform.v1beta1.ExactMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchSpec
-	7,   // 64: google.cloud.aiplatform.v1beta1.ExactMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchInstance
-	10,  // 65: google.cloud.aiplatform.v1beta1.ExactMatchResults.exact_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchMetricValue
-	13,  // 66: google.cloud.aiplatform.v1beta1.BleuInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.BleuSpec
-	12,  // 67: google.cloud.aiplatform.v1beta1.BleuInput.instances:type_name -> google.cloud.aiplatform.v1beta1.BleuInstance
-	15,  // 68: google.cloud.aiplatform.v1beta1.BleuResults.bleu_metric_values:type_name -> google.cloud.aiplatform.v1beta1.BleuMetricValue
-	18,  // 69: google.cloud.aiplatform.v1beta1.RougeInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.RougeSpec
-	17,  // 70: google.cloud.aiplatform.v1beta1.RougeInput.instances:type_name -> google.cloud.aiplatform.v1beta1.RougeInstance
-	20,  // 71: google.cloud.aiplatform.v1beta1.RougeResults.rouge_metric_values:type_name -> google.cloud.aiplatform.v1beta1.RougeMetricValue
-	23,  // 72: google.cloud.aiplatform.v1beta1.CoherenceInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.CoherenceSpec
-	22,  // 73: google.cloud.aiplatform.v1beta1.CoherenceInput.instance:type_name -> google.cloud.aiplatform.v1beta1.CoherenceInstance
-	27,  // 74: google.cloud.aiplatform.v1beta1.FluencyInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.FluencySpec
-	26,  // 75: google.cloud.aiplatform.v1beta1.FluencyInput.instance:type_name -> google.cloud.aiplatform.v1beta1.FluencyInstance
-	31,  // 76: google.cloud.aiplatform.v1beta1.SafetyInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.SafetySpec
-	30,  // 77: google.cloud.aiplatform.v1beta1.SafetyInput.instance:type_name -> google.cloud.aiplatform.v1beta1.SafetyInstance
-	35,  // 78: google.cloud.aiplatform.v1beta1.GroundednessInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.GroundednessSpec
-	34,  // 79: google.cloud.aiplatform.v1beta1.GroundednessInput.instance:type_name -> google.cloud.aiplatform.v1beta1.GroundednessInstance
-	39,  // 80: google.cloud.aiplatform.v1beta1.FulfillmentInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.FulfillmentSpec
-	38,  // 81: google.cloud.aiplatform.v1beta1.FulfillmentInput.instance:type_name -> google.cloud.aiplatform.v1beta1.FulfillmentInstance
-	43,  // 82: google.cloud.aiplatform.v1beta1.SummarizationQualityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.SummarizationQualitySpec
-	42,  // 83: google.cloud.aiplatform.v1beta1.SummarizationQualityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.SummarizationQualityInstance
-	47,  // 84: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualitySpec
-	46,  // 85: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInstance
-	0,   // 86: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityResult.pairwise_choice:type_name -> google.cloud.aiplatform.v1beta1.PairwiseChoice
-	51,  // 87: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessSpec
-	50,  // 88: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput.instance:type_name -> google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInstance
-	55,  // 89: google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.SummarizationVerbositySpec
-	54,  // 90: google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.SummarizationVerbosityInstance
-	59,  // 91: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringQualitySpec
-	58,  // 92: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInstance
-	63,  // 93: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualitySpec
-	62,  // 94: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInstance
-	0,   // 95: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityResult.pairwise_choice:type_name -> google.cloud.aiplatform.v1beta1.PairwiseChoice
-	67,  // 96: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceSpec
-	66,  // 97: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput.instance:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInstance
-	71,  // 98: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessSpec
-	70,  // 99: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput.instance:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInstance
-	75,  // 100: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessSpec
-	74,  // 101: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput.instance:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInstance
-	79,  // 102: google.cloud.aiplatform.v1beta1.PointwiseMetricInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PointwiseMetricSpec
-	78,  // 103: google.cloud.aiplatform.v1beta1.PointwiseMetricInput.instance:type_name -> google.cloud.aiplatform.v1beta1.PointwiseMetricInstance
-	83,  // 104: google.cloud.aiplatform.v1beta1.PairwiseMetricInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PairwiseMetricSpec
-	82,  // 105: google.cloud.aiplatform.v1beta1.PairwiseMetricInput.instance:type_name -> google.cloud.aiplatform.v1beta1.PairwiseMetricInstance
-	0,   // 106: google.cloud.aiplatform.v1beta1.PairwiseMetricResult.pairwise_choice:type_name -> google.cloud.aiplatform.v1beta1.PairwiseChoice
-	86,  // 107: google.cloud.aiplatform.v1beta1.ToolCallValidInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidSpec
-	87,  // 108: google.cloud.aiplatform.v1beta1.ToolCallValidInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidInstance
-	89,  // 109: google.cloud.aiplatform.v1beta1.ToolCallValidResults.tool_call_valid_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidMetricValue
-	91,  // 110: google.cloud.aiplatform.v1beta1.ToolNameMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchSpec
-	92,  // 111: google.cloud.aiplatform.v1beta1.ToolNameMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchInstance
-	94,  // 112: google.cloud.aiplatform.v1beta1.ToolNameMatchResults.tool_name_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchMetricValue
-	96,  // 113: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchSpec
-	97,  // 114: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInstance
-	99,  // 115: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchResults.tool_parameter_key_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchMetricValue
-	101, // 116: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchSpec
-	102, // 117: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInstance
-	104, // 118: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchResults.tool_parameter_kv_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchMetricValue
-	106, // 119: google.cloud.aiplatform.v1beta1.CometInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.CometSpec
-	107, // 120: google.cloud.aiplatform.v1beta1.CometInput.instance:type_name -> google.cloud.aiplatform.v1beta1.CometInstance
-	1,   // 121: google.cloud.aiplatform.v1beta1.CometSpec.version:type_name -> google.cloud.aiplatform.v1beta1.CometSpec.CometVersion
-	110, // 122: google.cloud.aiplatform.v1beta1.MetricxInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.MetricxSpec
-	111, // 123: google.cloud.aiplatform.v1beta1.MetricxInput.instance:type_name -> google.cloud.aiplatform.v1beta1.MetricxInstance
-	2,   // 124: google.cloud.aiplatform.v1beta1.MetricxSpec.version:type_name -> google.cloud.aiplatform.v1beta1.MetricxSpec.MetricxVersion
-	114, // 125: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchSpec
-	115, // 126: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInstance
-	143, // 127: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	143, // 128: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	117, // 129: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchResults.trajectory_exact_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchMetricValue
-	119, // 130: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchSpec
-	120, // 131: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInstance
-	143, // 132: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	143, // 133: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	122, // 134: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchResults.trajectory_in_order_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchMetricValue
-	124, // 135: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchSpec
-	125, // 136: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInstance
-	143, // 137: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	143, // 138: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	127, // 139: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchResults.trajectory_any_order_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchMetricValue
-	129, // 140: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionSpec
-	130, // 141: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInstance
-	143, // 142: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	143, // 143: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	132, // 144: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionResults.trajectory_precision_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionMetricValue
-	134, // 145: google.cloud.aiplatform.v1beta1.TrajectoryRecallInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallSpec
-	135, // 146: google.cloud.aiplatform.v1beta1.TrajectoryRecallInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallInstance
-	143, // 147: google.cloud.aiplatform.v1beta1.TrajectoryRecallInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	143, // 148: google.cloud.aiplatform.v1beta1.TrajectoryRecallInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	137, // 149: google.cloud.aiplatform.v1beta1.TrajectoryRecallResults.trajectory_recall_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallMetricValue
-	139, // 150: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseSpec
-	140, // 151: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInstance
-	143, // 152: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
-	142, // 153: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseResults.trajectory_single_tool_use_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseMetricValue
-	144, // 154: google.cloud.aiplatform.v1beta1.Trajectory.tool_calls:type_name -> google.cloud.aiplatform.v1beta1.ToolCall
-	4,   // 155: google.cloud.aiplatform.v1beta1.EvaluationService.EvaluateInstances:input_type -> google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest
-	5,   // 156: google.cloud.aiplatform.v1beta1.EvaluationService.EvaluateInstances:output_type -> google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse
-	156, // [156:157] is the sub-list for method output_type
-	155, // [155:156] is the sub-list for method input_type
-	155, // [155:155] is the sub-list for extension type_name
-	155, // [155:155] is the sub-list for extension extendee
-	0,   // [0:155] is the sub-list for field type_name
+	153, // 0: google.cloud.aiplatform.v1beta1.EvaluateDatasetOperationMetadata.generic_metadata:type_name -> google.cloud.aiplatform.v1beta1.GenericOperationMetadata
+	6,   // 1: google.cloud.aiplatform.v1beta1.EvaluateDatasetResponse.output_info:type_name -> google.cloud.aiplatform.v1beta1.OutputInfo
+	10,  // 2: google.cloud.aiplatform.v1beta1.EvaluateDatasetRequest.dataset:type_name -> google.cloud.aiplatform.v1beta1.EvaluationDataset
+	9,   // 3: google.cloud.aiplatform.v1beta1.EvaluateDatasetRequest.metrics:type_name -> google.cloud.aiplatform.v1beta1.Metric
+	8,   // 4: google.cloud.aiplatform.v1beta1.EvaluateDatasetRequest.output_config:type_name -> google.cloud.aiplatform.v1beta1.OutputConfig
+	11,  // 5: google.cloud.aiplatform.v1beta1.EvaluateDatasetRequest.autorater_config:type_name -> google.cloud.aiplatform.v1beta1.AutoraterConfig
+	154, // 6: google.cloud.aiplatform.v1beta1.OutputConfig.gcs_destination:type_name -> google.cloud.aiplatform.v1beta1.GcsDestination
+	87,  // 7: google.cloud.aiplatform.v1beta1.Metric.pointwise_metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PointwiseMetricSpec
+	91,  // 8: google.cloud.aiplatform.v1beta1.Metric.pairwise_metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PairwiseMetricSpec
+	16,  // 9: google.cloud.aiplatform.v1beta1.Metric.exact_match_spec:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchSpec
+	21,  // 10: google.cloud.aiplatform.v1beta1.Metric.bleu_spec:type_name -> google.cloud.aiplatform.v1beta1.BleuSpec
+	26,  // 11: google.cloud.aiplatform.v1beta1.Metric.rouge_spec:type_name -> google.cloud.aiplatform.v1beta1.RougeSpec
+	1,   // 12: google.cloud.aiplatform.v1beta1.Metric.aggregation_metrics:type_name -> google.cloud.aiplatform.v1beta1.Metric.AggregationMetric
+	155, // 13: google.cloud.aiplatform.v1beta1.EvaluationDataset.gcs_source:type_name -> google.cloud.aiplatform.v1beta1.GcsSource
+	156, // 14: google.cloud.aiplatform.v1beta1.EvaluationDataset.bigquery_source:type_name -> google.cloud.aiplatform.v1beta1.BigQuerySource
+	14,  // 15: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.exact_match_input:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchInput
+	19,  // 16: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.bleu_input:type_name -> google.cloud.aiplatform.v1beta1.BleuInput
+	24,  // 17: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.rouge_input:type_name -> google.cloud.aiplatform.v1beta1.RougeInput
+	33,  // 18: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.fluency_input:type_name -> google.cloud.aiplatform.v1beta1.FluencyInput
+	29,  // 19: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.coherence_input:type_name -> google.cloud.aiplatform.v1beta1.CoherenceInput
+	37,  // 20: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.safety_input:type_name -> google.cloud.aiplatform.v1beta1.SafetyInput
+	41,  // 21: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.groundedness_input:type_name -> google.cloud.aiplatform.v1beta1.GroundednessInput
+	45,  // 22: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.fulfillment_input:type_name -> google.cloud.aiplatform.v1beta1.FulfillmentInput
+	49,  // 23: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.summarization_quality_input:type_name -> google.cloud.aiplatform.v1beta1.SummarizationQualityInput
+	53,  // 24: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.pairwise_summarization_quality_input:type_name -> google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput
+	57,  // 25: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.summarization_helpfulness_input:type_name -> google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput
+	61,  // 26: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.summarization_verbosity_input:type_name -> google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput
+	65,  // 27: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.question_answering_quality_input:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput
+	69,  // 28: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.pairwise_question_answering_quality_input:type_name -> google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput
+	73,  // 29: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.question_answering_relevance_input:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput
+	77,  // 30: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.question_answering_helpfulness_input:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput
+	81,  // 31: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.question_answering_correctness_input:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput
+	85,  // 32: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.pointwise_metric_input:type_name -> google.cloud.aiplatform.v1beta1.PointwiseMetricInput
+	89,  // 33: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.pairwise_metric_input:type_name -> google.cloud.aiplatform.v1beta1.PairwiseMetricInput
+	93,  // 34: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.tool_call_valid_input:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidInput
+	98,  // 35: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.tool_name_match_input:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchInput
+	103, // 36: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.tool_parameter_key_match_input:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput
+	108, // 37: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.tool_parameter_kv_match_input:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput
+	113, // 38: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.comet_input:type_name -> google.cloud.aiplatform.v1beta1.CometInput
+	117, // 39: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.metricx_input:type_name -> google.cloud.aiplatform.v1beta1.MetricxInput
+	121, // 40: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_exact_match_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInput
+	126, // 41: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_in_order_match_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInput
+	131, // 42: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_any_order_match_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInput
+	136, // 43: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_precision_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInput
+	141, // 44: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_recall_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallInput
+	146, // 45: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.trajectory_single_tool_use_input:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInput
+	11,  // 46: google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest.autorater_config:type_name -> google.cloud.aiplatform.v1beta1.AutoraterConfig
+	17,  // 47: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.exact_match_results:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchResults
+	22,  // 48: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.bleu_results:type_name -> google.cloud.aiplatform.v1beta1.BleuResults
+	27,  // 49: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.rouge_results:type_name -> google.cloud.aiplatform.v1beta1.RougeResults
+	36,  // 50: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.fluency_result:type_name -> google.cloud.aiplatform.v1beta1.FluencyResult
+	32,  // 51: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.coherence_result:type_name -> google.cloud.aiplatform.v1beta1.CoherenceResult
+	40,  // 52: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.safety_result:type_name -> google.cloud.aiplatform.v1beta1.SafetyResult
+	44,  // 53: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.groundedness_result:type_name -> google.cloud.aiplatform.v1beta1.GroundednessResult
+	48,  // 54: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.fulfillment_result:type_name -> google.cloud.aiplatform.v1beta1.FulfillmentResult
+	52,  // 55: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.summarization_quality_result:type_name -> google.cloud.aiplatform.v1beta1.SummarizationQualityResult
+	56,  // 56: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.pairwise_summarization_quality_result:type_name -> google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityResult
+	60,  // 57: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.summarization_helpfulness_result:type_name -> google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessResult
+	64,  // 58: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.summarization_verbosity_result:type_name -> google.cloud.aiplatform.v1beta1.SummarizationVerbosityResult
+	68,  // 59: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.question_answering_quality_result:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityResult
+	72,  // 60: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.pairwise_question_answering_quality_result:type_name -> google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityResult
+	76,  // 61: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.question_answering_relevance_result:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceResult
+	80,  // 62: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.question_answering_helpfulness_result:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessResult
+	84,  // 63: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.question_answering_correctness_result:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessResult
+	88,  // 64: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.pointwise_metric_result:type_name -> google.cloud.aiplatform.v1beta1.PointwiseMetricResult
+	92,  // 65: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.pairwise_metric_result:type_name -> google.cloud.aiplatform.v1beta1.PairwiseMetricResult
+	96,  // 66: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.tool_call_valid_results:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidResults
+	101, // 67: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.tool_name_match_results:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchResults
+	106, // 68: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.tool_parameter_key_match_results:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchResults
+	111, // 69: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.tool_parameter_kv_match_results:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchResults
+	116, // 70: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.comet_result:type_name -> google.cloud.aiplatform.v1beta1.CometResult
+	120, // 71: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.metricx_result:type_name -> google.cloud.aiplatform.v1beta1.MetricxResult
+	124, // 72: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_exact_match_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchResults
+	129, // 73: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_in_order_match_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchResults
+	134, // 74: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_any_order_match_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchResults
+	139, // 75: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_precision_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionResults
+	144, // 76: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_recall_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallResults
+	149, // 77: google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse.trajectory_single_tool_use_results:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseResults
+	16,  // 78: google.cloud.aiplatform.v1beta1.ExactMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchSpec
+	15,  // 79: google.cloud.aiplatform.v1beta1.ExactMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchInstance
+	18,  // 80: google.cloud.aiplatform.v1beta1.ExactMatchResults.exact_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ExactMatchMetricValue
+	21,  // 81: google.cloud.aiplatform.v1beta1.BleuInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.BleuSpec
+	20,  // 82: google.cloud.aiplatform.v1beta1.BleuInput.instances:type_name -> google.cloud.aiplatform.v1beta1.BleuInstance
+	23,  // 83: google.cloud.aiplatform.v1beta1.BleuResults.bleu_metric_values:type_name -> google.cloud.aiplatform.v1beta1.BleuMetricValue
+	26,  // 84: google.cloud.aiplatform.v1beta1.RougeInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.RougeSpec
+	25,  // 85: google.cloud.aiplatform.v1beta1.RougeInput.instances:type_name -> google.cloud.aiplatform.v1beta1.RougeInstance
+	28,  // 86: google.cloud.aiplatform.v1beta1.RougeResults.rouge_metric_values:type_name -> google.cloud.aiplatform.v1beta1.RougeMetricValue
+	31,  // 87: google.cloud.aiplatform.v1beta1.CoherenceInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.CoherenceSpec
+	30,  // 88: google.cloud.aiplatform.v1beta1.CoherenceInput.instance:type_name -> google.cloud.aiplatform.v1beta1.CoherenceInstance
+	35,  // 89: google.cloud.aiplatform.v1beta1.FluencyInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.FluencySpec
+	34,  // 90: google.cloud.aiplatform.v1beta1.FluencyInput.instance:type_name -> google.cloud.aiplatform.v1beta1.FluencyInstance
+	39,  // 91: google.cloud.aiplatform.v1beta1.SafetyInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.SafetySpec
+	38,  // 92: google.cloud.aiplatform.v1beta1.SafetyInput.instance:type_name -> google.cloud.aiplatform.v1beta1.SafetyInstance
+	43,  // 93: google.cloud.aiplatform.v1beta1.GroundednessInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.GroundednessSpec
+	42,  // 94: google.cloud.aiplatform.v1beta1.GroundednessInput.instance:type_name -> google.cloud.aiplatform.v1beta1.GroundednessInstance
+	47,  // 95: google.cloud.aiplatform.v1beta1.FulfillmentInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.FulfillmentSpec
+	46,  // 96: google.cloud.aiplatform.v1beta1.FulfillmentInput.instance:type_name -> google.cloud.aiplatform.v1beta1.FulfillmentInstance
+	51,  // 97: google.cloud.aiplatform.v1beta1.SummarizationQualityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.SummarizationQualitySpec
+	50,  // 98: google.cloud.aiplatform.v1beta1.SummarizationQualityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.SummarizationQualityInstance
+	55,  // 99: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualitySpec
+	54,  // 100: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityInstance
+	0,   // 101: google.cloud.aiplatform.v1beta1.PairwiseSummarizationQualityResult.pairwise_choice:type_name -> google.cloud.aiplatform.v1beta1.PairwiseChoice
+	59,  // 102: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessSpec
+	58,  // 103: google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInput.instance:type_name -> google.cloud.aiplatform.v1beta1.SummarizationHelpfulnessInstance
+	63,  // 104: google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.SummarizationVerbositySpec
+	62,  // 105: google.cloud.aiplatform.v1beta1.SummarizationVerbosityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.SummarizationVerbosityInstance
+	67,  // 106: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringQualitySpec
+	66,  // 107: google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringQualityInstance
+	71,  // 108: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualitySpec
+	70,  // 109: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInput.instance:type_name -> google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityInstance
+	0,   // 110: google.cloud.aiplatform.v1beta1.PairwiseQuestionAnsweringQualityResult.pairwise_choice:type_name -> google.cloud.aiplatform.v1beta1.PairwiseChoice
+	75,  // 111: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceSpec
+	74,  // 112: google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInput.instance:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringRelevanceInstance
+	79,  // 113: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessSpec
+	78,  // 114: google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInput.instance:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringHelpfulnessInstance
+	83,  // 115: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessSpec
+	82,  // 116: google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInput.instance:type_name -> google.cloud.aiplatform.v1beta1.QuestionAnsweringCorrectnessInstance
+	87,  // 117: google.cloud.aiplatform.v1beta1.PointwiseMetricInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PointwiseMetricSpec
+	86,  // 118: google.cloud.aiplatform.v1beta1.PointwiseMetricInput.instance:type_name -> google.cloud.aiplatform.v1beta1.PointwiseMetricInstance
+	91,  // 119: google.cloud.aiplatform.v1beta1.PairwiseMetricInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.PairwiseMetricSpec
+	90,  // 120: google.cloud.aiplatform.v1beta1.PairwiseMetricInput.instance:type_name -> google.cloud.aiplatform.v1beta1.PairwiseMetricInstance
+	0,   // 121: google.cloud.aiplatform.v1beta1.PairwiseMetricResult.pairwise_choice:type_name -> google.cloud.aiplatform.v1beta1.PairwiseChoice
+	94,  // 122: google.cloud.aiplatform.v1beta1.ToolCallValidInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidSpec
+	95,  // 123: google.cloud.aiplatform.v1beta1.ToolCallValidInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidInstance
+	97,  // 124: google.cloud.aiplatform.v1beta1.ToolCallValidResults.tool_call_valid_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ToolCallValidMetricValue
+	99,  // 125: google.cloud.aiplatform.v1beta1.ToolNameMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchSpec
+	100, // 126: google.cloud.aiplatform.v1beta1.ToolNameMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchInstance
+	102, // 127: google.cloud.aiplatform.v1beta1.ToolNameMatchResults.tool_name_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ToolNameMatchMetricValue
+	104, // 128: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchSpec
+	105, // 129: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchInstance
+	107, // 130: google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchResults.tool_parameter_key_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKeyMatchMetricValue
+	109, // 131: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchSpec
+	110, // 132: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchInstance
+	112, // 133: google.cloud.aiplatform.v1beta1.ToolParameterKVMatchResults.tool_parameter_kv_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.ToolParameterKVMatchMetricValue
+	114, // 134: google.cloud.aiplatform.v1beta1.CometInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.CometSpec
+	115, // 135: google.cloud.aiplatform.v1beta1.CometInput.instance:type_name -> google.cloud.aiplatform.v1beta1.CometInstance
+	2,   // 136: google.cloud.aiplatform.v1beta1.CometSpec.version:type_name -> google.cloud.aiplatform.v1beta1.CometSpec.CometVersion
+	118, // 137: google.cloud.aiplatform.v1beta1.MetricxInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.MetricxSpec
+	119, // 138: google.cloud.aiplatform.v1beta1.MetricxInput.instance:type_name -> google.cloud.aiplatform.v1beta1.MetricxInstance
+	3,   // 139: google.cloud.aiplatform.v1beta1.MetricxSpec.version:type_name -> google.cloud.aiplatform.v1beta1.MetricxSpec.MetricxVersion
+	122, // 140: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchSpec
+	123, // 141: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInstance
+	151, // 142: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	151, // 143: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	125, // 144: google.cloud.aiplatform.v1beta1.TrajectoryExactMatchResults.trajectory_exact_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryExactMatchMetricValue
+	127, // 145: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchSpec
+	128, // 146: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInstance
+	151, // 147: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	151, // 148: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	130, // 149: google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchResults.trajectory_in_order_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryInOrderMatchMetricValue
+	132, // 150: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchSpec
+	133, // 151: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInstance
+	151, // 152: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	151, // 153: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	135, // 154: google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchResults.trajectory_any_order_match_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryAnyOrderMatchMetricValue
+	137, // 155: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionSpec
+	138, // 156: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInstance
+	151, // 157: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	151, // 158: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	140, // 159: google.cloud.aiplatform.v1beta1.TrajectoryPrecisionResults.trajectory_precision_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryPrecisionMetricValue
+	142, // 160: google.cloud.aiplatform.v1beta1.TrajectoryRecallInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallSpec
+	143, // 161: google.cloud.aiplatform.v1beta1.TrajectoryRecallInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallInstance
+	151, // 162: google.cloud.aiplatform.v1beta1.TrajectoryRecallInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	151, // 163: google.cloud.aiplatform.v1beta1.TrajectoryRecallInstance.reference_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	145, // 164: google.cloud.aiplatform.v1beta1.TrajectoryRecallResults.trajectory_recall_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectoryRecallMetricValue
+	147, // 165: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInput.metric_spec:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseSpec
+	148, // 166: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInput.instances:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInstance
+	151, // 167: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseInstance.predicted_trajectory:type_name -> google.cloud.aiplatform.v1beta1.Trajectory
+	150, // 168: google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseResults.trajectory_single_tool_use_metric_values:type_name -> google.cloud.aiplatform.v1beta1.TrajectorySingleToolUseMetricValue
+	152, // 169: google.cloud.aiplatform.v1beta1.Trajectory.tool_calls:type_name -> google.cloud.aiplatform.v1beta1.ToolCall
+	12,  // 170: google.cloud.aiplatform.v1beta1.EvaluationService.EvaluateInstances:input_type -> google.cloud.aiplatform.v1beta1.EvaluateInstancesRequest
+	7,   // 171: google.cloud.aiplatform.v1beta1.EvaluationService.EvaluateDataset:input_type -> google.cloud.aiplatform.v1beta1.EvaluateDatasetRequest
+	13,  // 172: google.cloud.aiplatform.v1beta1.EvaluationService.EvaluateInstances:output_type -> google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse
+	157, // 173: google.cloud.aiplatform.v1beta1.EvaluationService.EvaluateDataset:output_type -> google.longrunning.Operation
+	172, // [172:174] is the sub-list for method output_type
+	170, // [170:172] is the sub-list for method input_type
+	170, // [170:170] is the sub-list for extension type_name
+	170, // [170:170] is the sub-list for extension extendee
+	0,   // [0:170] is the sub-list for field type_name
 }
 
 func init() { file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_init() }
@@ -11319,8 +12117,27 @@ func file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_init() {
 	if File_google_cloud_aiplatform_v1beta1_evaluation_service_proto != nil {
 		return
 	}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[0].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[1].OneofWrappers = []any{
+	file_google_cloud_aiplatform_v1beta1_io_proto_init()
+	file_google_cloud_aiplatform_v1beta1_operation_proto_init()
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[2].OneofWrappers = []any{
+		(*OutputInfo_GcsOutputDirectory)(nil),
+	}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[4].OneofWrappers = []any{
+		(*OutputConfig_GcsDestination)(nil),
+	}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[5].OneofWrappers = []any{
+		(*Metric_PointwiseMetricSpec)(nil),
+		(*Metric_PairwiseMetricSpec)(nil),
+		(*Metric_ExactMatchSpec)(nil),
+		(*Metric_BleuSpec)(nil),
+		(*Metric_RougeSpec)(nil),
+	}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[6].OneofWrappers = []any{
+		(*EvaluationDataset_GcsSource)(nil),
+		(*EvaluationDataset_BigquerySource)(nil),
+	}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[7].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[8].OneofWrappers = []any{
 		(*EvaluateInstancesRequest_ExactMatchInput)(nil),
 		(*EvaluateInstancesRequest_BleuInput)(nil),
 		(*EvaluateInstancesRequest_RougeInput)(nil),
@@ -11353,7 +12170,7 @@ func file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_init() {
 		(*EvaluateInstancesRequest_TrajectoryRecallInput)(nil),
 		(*EvaluateInstancesRequest_TrajectorySingleToolUseInput)(nil),
 	}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[2].OneofWrappers = []any{
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[9].OneofWrappers = []any{
 		(*EvaluateInstancesResponse_ExactMatchResults)(nil),
 		(*EvaluateInstancesResponse_BleuResults)(nil),
 		(*EvaluateInstancesResponse_RougeResults)(nil),
@@ -11386,84 +12203,84 @@ func file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_init() {
 		(*EvaluateInstancesResponse_TrajectoryRecallResults)(nil),
 		(*EvaluateInstancesResponse_TrajectorySingleToolUseResults)(nil),
 	}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[4].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[7].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[9].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[12].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[11].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[14].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[17].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[16].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[19].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[21].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[23].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[25].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[27].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[29].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[31].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[33].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[35].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[37].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[39].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[41].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[43].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[45].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[47].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[49].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[51].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[53].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[55].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[57].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[59].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[61].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[63].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[65].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[67].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[69].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[71].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[73].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[75].OneofWrappers = []any{
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[24].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[26].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[28].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[30].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[32].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[34].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[36].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[38].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[40].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[42].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[44].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[46].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[48].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[50].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[52].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[54].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[56].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[58].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[60].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[62].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[64].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[66].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[68].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[70].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[72].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[74].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[76].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[78].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[80].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[82].OneofWrappers = []any{
 		(*PointwiseMetricInstance_JsonInstance)(nil),
 	}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[76].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[77].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[79].OneofWrappers = []any{
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[83].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[84].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[86].OneofWrappers = []any{
 		(*PairwiseMetricInstance_JsonInstance)(nil),
 	}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[80].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[84].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[86].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[89].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[87].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[91].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[94].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[93].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[96].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[99].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[98].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[101].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[103].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[104].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[105].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[107].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[106].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[108].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[109].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[110].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[111].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[112].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[114].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[117].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[115].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[116].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[119].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[122].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[121].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[124].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[127].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[126].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[129].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[132].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[131].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[134].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[136].OneofWrappers = []any{}
-	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[137].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[139].OneofWrappers = []any{}
 	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[141].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[143].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[144].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[146].OneofWrappers = []any{}
+	file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_msgTypes[148].OneofWrappers = []any{}
 	type x struct{}
 	out := protoimpl.TypeBuilder{
 		File: protoimpl.DescBuilder{
 			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
 			RawDescriptor: file_google_cloud_aiplatform_v1beta1_evaluation_service_proto_rawDesc,
-			NumEnums:      3,
-			NumMessages:   142,
+			NumEnums:      4,
+			NumMessages:   149,
 			NumExtensions: 0,
 			NumServices:   1,
 		},
@@ -11492,6 +12309,8 @@ const _ = grpc.SupportPackageIsVersion6
 type EvaluationServiceClient interface {
 	// Evaluates instances based on a given metric.
 	EvaluateInstances(ctx context.Context, in *EvaluateInstancesRequest, opts ...grpc.CallOption) (*EvaluateInstancesResponse, error)
+	// Evaluates a dataset based on a set of given metrics.
+	EvaluateDataset(ctx context.Context, in *EvaluateDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error)
 }
 
 type evaluationServiceClient struct {
@@ -11511,10 +12330,21 @@ func (c *evaluationServiceClient) EvaluateInstances(ctx context.Context, in *Eva
 	return out, nil
 }
 
+func (c *evaluationServiceClient) EvaluateDataset(ctx context.Context, in *EvaluateDatasetRequest, opts ...grpc.CallOption) (*longrunningpb.Operation, error) {
+	out := new(longrunningpb.Operation)
+	err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1beta1.EvaluationService/EvaluateDataset", in, out, opts...)
+	if err != nil {
+		return nil, err
+	}
+	return out, nil
+}
+
 // EvaluationServiceServer is the server API for EvaluationService service.
 type EvaluationServiceServer interface {
 	// Evaluates instances based on a given metric.
 	EvaluateInstances(context.Context, *EvaluateInstancesRequest) (*EvaluateInstancesResponse, error)
+	// Evaluates a dataset based on a set of given metrics.
+	EvaluateDataset(context.Context, *EvaluateDatasetRequest) (*longrunningpb.Operation, error)
 }
 
 // UnimplementedEvaluationServiceServer can be embedded to have forward compatible implementations.
@@ -11524,6 +12354,9 @@ type UnimplementedEvaluationServiceServer struct {
 func (*UnimplementedEvaluationServiceServer) EvaluateInstances(context.Context, *EvaluateInstancesRequest) (*EvaluateInstancesResponse, error) {
 	return nil, status.Errorf(codes.Unimplemented, "method EvaluateInstances not implemented")
 }
+func (*UnimplementedEvaluationServiceServer) EvaluateDataset(context.Context, *EvaluateDatasetRequest) (*longrunningpb.Operation, error) {
+	return nil, status.Errorf(codes.Unimplemented, "method EvaluateDataset not implemented")
+}
 
 func RegisterEvaluationServiceServer(s *grpc.Server, srv EvaluationServiceServer) {
 	s.RegisterService(&_EvaluationService_serviceDesc, srv)
@@ -11547,6 +12380,24 @@ func _EvaluationService_EvaluateInstances_Handler(srv interface{}, ctx context.C
 	return interceptor(ctx, in, info, handler)
 }
 
+func _EvaluationService_EvaluateDataset_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
+	in := new(EvaluateDatasetRequest)
+	if err := dec(in); err != nil {
+		return nil, err
+	}
+	if interceptor == nil {
+		return srv.(EvaluationServiceServer).EvaluateDataset(ctx, in)
+	}
+	info := &grpc.UnaryServerInfo{
+		Server:     srv,
+		FullMethod: "/google.cloud.aiplatform.v1beta1.EvaluationService/EvaluateDataset",
+	}
+	handler := func(ctx context.Context, req interface{}) (interface{}, error) {
+		return srv.(EvaluationServiceServer).EvaluateDataset(ctx, req.(*EvaluateDatasetRequest))
+	}
+	return interceptor(ctx, in, info, handler)
+}
+
 var _EvaluationService_serviceDesc = grpc.ServiceDesc{
 	ServiceName: "google.cloud.aiplatform.v1beta1.EvaluationService",
 	HandlerType: (*EvaluationServiceServer)(nil),
@@ -11555,6 +12406,10 @@ var _EvaluationService_serviceDesc = grpc.ServiceDesc{
 			MethodName: "EvaluateInstances",
 			Handler:    _EvaluationService_EvaluateInstances_Handler,
 		},
+		{
+			MethodName: "EvaluateDataset",
+			Handler:    _EvaluationService_EvaluateDataset_Handler,
+		},
 	},
 	Streams:  []grpc.StreamDesc{},
 	Metadata: "google/cloud/aiplatform/v1beta1/evaluation_service.proto",
diff --git a/aiplatform/apiv1beta1/auxiliary.go b/aiplatform/apiv1beta1/auxiliary.go
index 9746b98392f6..d88f0751c10d 100755
--- a/aiplatform/apiv1beta1/auxiliary.go
+++ b/aiplatform/apiv1beta1/auxiliary.go
@@ -4536,6 +4536,70 @@ func (op *DeployPublisherModelOperation) Name() string {
 	return op.lro.Name()
 }
 
+// EvaluateDatasetOperation manages a long-running operation from EvaluateDataset.
+type EvaluateDatasetOperation struct {
+	lro      *longrunning.Operation
+	pollPath string
+}
+
+// Wait blocks until the long-running operation is completed, returning the response and any errors encountered.
+//
+// See documentation of Poll for error-handling information.
+func (op *EvaluateDatasetOperation) Wait(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.EvaluateDatasetResponse, error) {
+	opts = append([]gax.CallOption{gax.WithPath(op.pollPath)}, opts...)
+	var resp aiplatformpb.EvaluateDatasetResponse
+	if err := op.lro.WaitWithInterval(ctx, &resp, time.Minute, opts...); err != nil {
+		return nil, err
+	}
+	return &resp, nil
+}
+
+// Poll fetches the latest state of the long-running operation.
+//
+// Poll also fetches the latest metadata, which can be retrieved by Metadata.
+//
+// If Poll fails, the error is returned and op is unmodified. If Poll succeeds and
+// the operation has completed with failure, the error is returned and op.Done will return true.
+// If Poll succeeds and the operation has completed successfully,
+// op.Done will return true, and the response of the operation is returned.
+// If Poll succeeds and the operation has not completed, the returned response and error are both nil.
+func (op *EvaluateDatasetOperation) Poll(ctx context.Context, opts ...gax.CallOption) (*aiplatformpb.EvaluateDatasetResponse, error) {
+	opts = append([]gax.CallOption{gax.WithPath(op.pollPath)}, opts...)
+	var resp aiplatformpb.EvaluateDatasetResponse
+	if err := op.lro.Poll(ctx, &resp, opts...); err != nil {
+		return nil, err
+	}
+	if !op.Done() {
+		return nil, nil
+	}
+	return &resp, nil
+}
+
+// Metadata returns metadata associated with the long-running operation.
+// Metadata itself does not contact the server, but Poll does.
+// To get the latest metadata, call this method after a successful call to Poll.
+// If the metadata is not available, the returned metadata and error are both nil.
+func (op *EvaluateDatasetOperation) Metadata() (*aiplatformpb.EvaluateDatasetOperationMetadata, error) {
+	var meta aiplatformpb.EvaluateDatasetOperationMetadata
+	if err := op.lro.Metadata(&meta); err == longrunning.ErrNoMetadata {
+		return nil, nil
+	} else if err != nil {
+		return nil, err
+	}
+	return &meta, nil
+}
+
+// Done reports whether the long-running operation has completed.
+func (op *EvaluateDatasetOperation) Done() bool {
+	return op.lro.Done()
+}
+
+// Name returns the name of the long-running operation.
+// The name is assigned by the server and is unique within the service from which the operation is created.
+func (op *EvaluateDatasetOperation) Name() string {
+	return op.lro.Name()
+}
+
 // ExportDataOperation manages a long-running operation from ExportData.
 type ExportDataOperation struct {
 	lro      *longrunning.Operation
diff --git a/aiplatform/apiv1beta1/evaluation_client.go b/aiplatform/apiv1beta1/evaluation_client.go
index a4d440de69ec..ae3c0a0ffc07 100755
--- a/aiplatform/apiv1beta1/evaluation_client.go
+++ b/aiplatform/apiv1beta1/evaluation_client.go
@@ -28,6 +28,8 @@ import (
 
 	aiplatformpb "cloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb"
 	iampb "cloud.google.com/go/iam/apiv1/iampb"
+	"cloud.google.com/go/longrunning"
+	lroauto "cloud.google.com/go/longrunning/autogen"
 	longrunningpb "cloud.google.com/go/longrunning/autogen/longrunningpb"
 	gax "github.com/googleapis/gax-go/v2"
 	"google.golang.org/api/iterator"
@@ -46,6 +48,7 @@ var newEvaluationClientHook clientHook
 // EvaluationCallOptions contains the retry settings for each method of EvaluationClient.
 type EvaluationCallOptions struct {
 	EvaluateInstances  []gax.CallOption
+	EvaluateDataset    []gax.CallOption
 	GetLocation        []gax.CallOption
 	ListLocations      []gax.CallOption
 	GetIamPolicy       []gax.CallOption
@@ -78,6 +81,7 @@ func defaultEvaluationCallOptions() *EvaluationCallOptions {
 		EvaluateInstances: []gax.CallOption{
 			gax.WithTimeout(60000 * time.Millisecond),
 		},
+		EvaluateDataset:    []gax.CallOption{},
 		GetLocation:        []gax.CallOption{},
 		ListLocations:      []gax.CallOption{},
 		GetIamPolicy:       []gax.CallOption{},
@@ -96,6 +100,7 @@ func defaultEvaluationRESTCallOptions() *EvaluationCallOptions {
 		EvaluateInstances: []gax.CallOption{
 			gax.WithTimeout(60000 * time.Millisecond),
 		},
+		EvaluateDataset:    []gax.CallOption{},
 		GetLocation:        []gax.CallOption{},
 		ListLocations:      []gax.CallOption{},
 		GetIamPolicy:       []gax.CallOption{},
@@ -115,6 +120,8 @@ type internalEvaluationClient interface {
 	setGoogleClientInfo(...string)
 	Connection() *grpc.ClientConn
 	EvaluateInstances(context.Context, *aiplatformpb.EvaluateInstancesRequest, ...gax.CallOption) (*aiplatformpb.EvaluateInstancesResponse, error)
+	EvaluateDataset(context.Context, *aiplatformpb.EvaluateDatasetRequest, ...gax.CallOption) (*EvaluateDatasetOperation, error)
+	EvaluateDatasetOperation(name string) *EvaluateDatasetOperation
 	GetLocation(context.Context, *locationpb.GetLocationRequest, ...gax.CallOption) (*locationpb.Location, error)
 	ListLocations(context.Context, *locationpb.ListLocationsRequest, ...gax.CallOption) *LocationIterator
 	GetIamPolicy(context.Context, *iampb.GetIamPolicyRequest, ...gax.CallOption) (*iampb.Policy, error)
@@ -137,6 +144,11 @@ type EvaluationClient struct {
 
 	// The call options for this service.
 	CallOptions *EvaluationCallOptions
+
+	// LROClient is used internally to handle long-running operations.
+	// It is exposed so that its CallOptions can be modified if required.
+	// Users should not Close this client.
+	LROClient *lroauto.OperationsClient
 }
 
 // Wrapper methods routed to the internal client.
@@ -167,6 +179,17 @@ func (c *EvaluationClient) EvaluateInstances(ctx context.Context, req *aiplatfor
 	return c.internalClient.EvaluateInstances(ctx, req, opts...)
 }
 
+// EvaluateDataset evaluates a dataset based on a set of given metrics.
+func (c *EvaluationClient) EvaluateDataset(ctx context.Context, req *aiplatformpb.EvaluateDatasetRequest, opts ...gax.CallOption) (*EvaluateDatasetOperation, error) {
+	return c.internalClient.EvaluateDataset(ctx, req, opts...)
+}
+
+// EvaluateDatasetOperation returns a new EvaluateDatasetOperation from a given name.
+// The name must be that of a previously created EvaluateDatasetOperation, possibly from a different process.
+func (c *EvaluationClient) EvaluateDatasetOperation(name string) *EvaluateDatasetOperation {
+	return c.internalClient.EvaluateDatasetOperation(name)
+}
+
 // GetLocation gets information about a location.
 func (c *EvaluationClient) GetLocation(ctx context.Context, req *locationpb.GetLocationRequest, opts ...gax.CallOption) (*locationpb.Location, error) {
 	return c.internalClient.GetLocation(ctx, req, opts...)
@@ -241,6 +264,11 @@ type evaluationGRPCClient struct {
 	// The gRPC API client.
 	evaluationClient aiplatformpb.EvaluationServiceClient
 
+	// LROClient is used internally to handle long-running operations.
+	// It is exposed so that its CallOptions can be modified if required.
+	// Users should not Close this client.
+	LROClient **lroauto.OperationsClient
+
 	operationsClient longrunningpb.OperationsClient
 
 	iamPolicyClient iampb.IAMPolicyClient
@@ -286,6 +314,17 @@ func NewEvaluationClient(ctx context.Context, opts ...option.ClientOption) (*Eva
 
 	client.internalClient = c
 
+	client.LROClient, err = lroauto.NewOperationsClient(ctx, gtransport.WithConnPool(connPool))
+	if err != nil {
+		// This error "should not happen", since we are just reusing old connection pool
+		// and never actually need to dial.
+		// If this does happen, we could leak connp. However, we cannot close conn:
+		// If the user invoked the constructor with option.WithGRPCConn,
+		// we would close a connection that's still in use.
+		// TODO: investigate error conditions.
+		return nil, err
+	}
+	c.LROClient = &client.LROClient
 	return &client, nil
 }
 
@@ -322,6 +361,11 @@ type evaluationRESTClient struct {
 	// The http client.
 	httpClient *http.Client
 
+	// LROClient is used internally to handle long-running operations.
+	// It is exposed so that its CallOptions can be modified if required.
+	// Users should not Close this client.
+	LROClient **lroauto.OperationsClient
+
 	// The x-goog-* headers to be sent with each request.
 	xGoogHeaders []string
 
@@ -350,6 +394,16 @@ func NewEvaluationRESTClient(ctx context.Context, opts ...option.ClientOption) (
 	}
 	c.setGoogleClientInfo()
 
+	lroOpts := []option.ClientOption{
+		option.WithHTTPClient(httpClient),
+		option.WithEndpoint(endpoint),
+	}
+	opClient, err := lroauto.NewOperationsRESTClient(ctx, lroOpts...)
+	if err != nil {
+		return nil, err
+	}
+	c.LROClient = &opClient
+
 	return &EvaluationClient{internalClient: c, CallOptions: callOpts}, nil
 }
 
@@ -408,6 +462,26 @@ func (c *evaluationGRPCClient) EvaluateInstances(ctx context.Context, req *aipla
 	return resp, nil
 }
 
+func (c *evaluationGRPCClient) EvaluateDataset(ctx context.Context, req *aiplatformpb.EvaluateDatasetRequest, opts ...gax.CallOption) (*EvaluateDatasetOperation, error) {
+	hds := []string{"x-goog-request-params", fmt.Sprintf("%s=%v", "location", url.QueryEscape(req.GetLocation()))}
+
+	hds = append(c.xGoogHeaders, hds...)
+	ctx = gax.InsertMetadataIntoOutgoingContext(ctx, hds...)
+	opts = append((*c.CallOptions).EvaluateDataset[0:len((*c.CallOptions).EvaluateDataset):len((*c.CallOptions).EvaluateDataset)], opts...)
+	var resp *longrunningpb.Operation
+	err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
+		var err error
+		resp, err = executeRPC(ctx, c.evaluationClient.EvaluateDataset, req, settings.GRPC, c.logger, "EvaluateDataset")
+		return err
+	}, opts...)
+	if err != nil {
+		return nil, err
+	}
+	return &EvaluateDatasetOperation{
+		lro: longrunning.InternalNewOperation(*c.LROClient, resp),
+	}, nil
+}
+
 func (c *evaluationGRPCClient) GetLocation(ctx context.Context, req *locationpb.GetLocationRequest, opts ...gax.CallOption) (*locationpb.Location, error) {
 	hds := []string{"x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName()))}
 
@@ -692,6 +766,65 @@ func (c *evaluationRESTClient) EvaluateInstances(ctx context.Context, req *aipla
 	return resp, nil
 }
 
+// EvaluateDataset evaluates a dataset based on a set of given metrics.
+func (c *evaluationRESTClient) EvaluateDataset(ctx context.Context, req *aiplatformpb.EvaluateDatasetRequest, opts ...gax.CallOption) (*EvaluateDatasetOperation, error) {
+	m := protojson.MarshalOptions{AllowPartial: true, UseEnumNumbers: true}
+	jsonReq, err := m.Marshal(req)
+	if err != nil {
+		return nil, err
+	}
+
+	baseUrl, err := url.Parse(c.endpoint)
+	if err != nil {
+		return nil, err
+	}
+	baseUrl.Path += fmt.Sprintf("/v1beta1/%v:evaluateDataset", req.GetLocation())
+
+	params := url.Values{}
+	params.Add("$alt", "json;enum-encoding=int")
+
+	baseUrl.RawQuery = params.Encode()
+
+	// Build HTTP headers from client and context metadata.
+	hds := []string{"x-goog-request-params", fmt.Sprintf("%s=%v", "location", url.QueryEscape(req.GetLocation()))}
+
+	hds = append(c.xGoogHeaders, hds...)
+	hds = append(hds, "Content-Type", "application/json")
+	headers := gax.BuildHeaders(ctx, hds...)
+	unm := protojson.UnmarshalOptions{AllowPartial: true, DiscardUnknown: true}
+	resp := &longrunningpb.Operation{}
+	e := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
+		if settings.Path != "" {
+			baseUrl.Path = settings.Path
+		}
+		httpReq, err := http.NewRequest("POST", baseUrl.String(), bytes.NewReader(jsonReq))
+		if err != nil {
+			return err
+		}
+		httpReq = httpReq.WithContext(ctx)
+		httpReq.Header = headers
+
+		buf, err := executeHTTPRequest(ctx, c.httpClient, httpReq, c.logger, jsonReq, "EvaluateDataset")
+		if err != nil {
+			return err
+		}
+		if err := unm.Unmarshal(buf, resp); err != nil {
+			return err
+		}
+
+		return nil
+	}, opts...)
+	if e != nil {
+		return nil, e
+	}
+
+	override := fmt.Sprintf("/ui/%s", resp.GetName())
+	return &EvaluateDatasetOperation{
+		lro:      longrunning.InternalNewOperation(*c.LROClient, resp),
+		pollPath: override,
+	}, nil
+}
+
 // GetLocation gets information about a location.
 func (c *evaluationRESTClient) GetLocation(ctx context.Context, req *locationpb.GetLocationRequest, opts ...gax.CallOption) (*locationpb.Location, error) {
 	baseUrl, err := url.Parse(c.endpoint)
@@ -1259,3 +1392,21 @@ func (c *evaluationRESTClient) WaitOperation(ctx context.Context, req *longrunni
 	}
 	return resp, nil
 }
+
+// EvaluateDatasetOperation returns a new EvaluateDatasetOperation from a given name.
+// The name must be that of a previously created EvaluateDatasetOperation, possibly from a different process.
+func (c *evaluationGRPCClient) EvaluateDatasetOperation(name string) *EvaluateDatasetOperation {
+	return &EvaluateDatasetOperation{
+		lro: longrunning.InternalNewOperation(*c.LROClient, &longrunningpb.Operation{Name: name}),
+	}
+}
+
+// EvaluateDatasetOperation returns a new EvaluateDatasetOperation from a given name.
+// The name must be that of a previously created EvaluateDatasetOperation, possibly from a different process.
+func (c *evaluationRESTClient) EvaluateDatasetOperation(name string) *EvaluateDatasetOperation {
+	override := fmt.Sprintf("/ui/%s", name)
+	return &EvaluateDatasetOperation{
+		lro:      longrunning.InternalNewOperation(*c.LROClient, &longrunningpb.Operation{Name: name}),
+		pollPath: override,
+	}
+}
diff --git a/aiplatform/apiv1beta1/evaluation_client_example_test.go b/aiplatform/apiv1beta1/evaluation_client_example_test.go
index cf72541d7d9c..993dd6e8e849 100644
--- a/aiplatform/apiv1beta1/evaluation_client_example_test.go
+++ b/aiplatform/apiv1beta1/evaluation_client_example_test.go
@@ -61,6 +61,36 @@ func ExampleNewEvaluationRESTClient() {
 	_ = c
 }
 
+func ExampleEvaluationClient_EvaluateDataset() {
+	ctx := context.Background()
+	// This snippet has been automatically generated and should be regarded as a code template only.
+	// It will require modifications to work:
+	// - It may require correct/in-range values for request initialization.
+	// - It may require specifying regional endpoints when creating the service client as shown in:
+	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
+	c, err := aiplatform.NewEvaluationClient(ctx)
+	if err != nil {
+		// TODO: Handle error.
+	}
+	defer c.Close()
+
+	req := &aiplatformpb.EvaluateDatasetRequest{
+		// TODO: Fill request struct fields.
+		// See https://pkg.go.dev/cloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb#EvaluateDatasetRequest.
+	}
+	op, err := c.EvaluateDataset(ctx, req)
+	if err != nil {
+		// TODO: Handle error.
+	}
+
+	resp, err := op.Wait(ctx)
+	if err != nil {
+		// TODO: Handle error.
+	}
+	// TODO: Use resp.
+	_ = resp
+}
+
 func ExampleEvaluationClient_EvaluateInstances() {
 	ctx := context.Background()
 	// This snippet has been automatically generated and should be regarded as a code template only.
diff --git a/aiplatform/apiv1beta1/gapic_metadata.json b/aiplatform/apiv1beta1/gapic_metadata.json
index f596835c0a3e..1f09f64b8331 100644
--- a/aiplatform/apiv1beta1/gapic_metadata.json
+++ b/aiplatform/apiv1beta1/gapic_metadata.json
@@ -702,6 +702,11 @@
                 "DeleteOperation"
               ]
             },
+            "EvaluateDataset": {
+              "methods": [
+                "EvaluateDataset"
+              ]
+            },
             "EvaluateInstances": {
               "methods": [
                 "EvaluateInstances"
@@ -762,6 +767,11 @@
                 "DeleteOperation"
               ]
             },
+            "EvaluateDataset": {
+              "methods": [
+                "EvaluateDataset"
+              ]
+            },
             "EvaluateInstances": {
               "methods": [
                 "EvaluateInstances"
diff --git a/dataplex/apiv1/dataplexpb/catalog.pb.go b/dataplex/apiv1/dataplexpb/catalog.pb.go
index f59857af3415..71d41869cb84 100755
--- a/dataplex/apiv1/dataplexpb/catalog.pb.go
+++ b/dataplex/apiv1/dataplexpb/catalog.pb.go
@@ -231,6 +231,10 @@ const (
 	// metadata import file are modified. Use this mode to modify a subset of
 	// resources while leaving unreferenced resources unchanged.
 	MetadataJob_ImportJobSpec_INCREMENTAL MetadataJob_ImportJobSpec_SyncMode = 2
+	// If entry sync mode is NONE, then the entry-specific fields (apart from
+	// aspects) are not modified and the aspects are modified according to the
+	// aspect_sync_mode
+	MetadataJob_ImportJobSpec_NONE MetadataJob_ImportJobSpec_SyncMode = 3
 )
 
 // Enum value maps for MetadataJob_ImportJobSpec_SyncMode.
@@ -239,11 +243,13 @@ var (
 		0: "SYNC_MODE_UNSPECIFIED",
 		1: "FULL",
 		2: "INCREMENTAL",
+		3: "NONE",
 	}
 	MetadataJob_ImportJobSpec_SyncMode_value = map[string]int32{
 		"SYNC_MODE_UNSPECIFIED": 0,
 		"FULL":                  1,
 		"INCREMENTAL":           2,
+		"NONE":                  3,
 	}
 )
 
@@ -1028,7 +1034,8 @@ type Entry struct {
 	// * If the aspect is attached to an entry's path:
 	// `{project_id_or_number}.{location_id}.{aspect_type_id}@{path}`
 	Aspects map[string]*Aspect `protobuf:"bytes,9,rep,name=aspects,proto3" json:"aspects,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
-	// Optional. Immutable. The resource name of the parent entry.
+	// Optional. Immutable. The resource name of the parent entry, in the format
+	// `projects/{project_id_or_number}/locations/{location_id}/entryGroups/{entry_group_id}/entries/{entry_id}`.
 	ParentEntry string `protobuf:"bytes,10,opt,name=parent_entry,json=parentEntry,proto3" json:"parent_entry,omitempty"`
 	// Optional. A name for the entry that can be referenced by an external
 	// system. For more information, see [Fully qualified
@@ -3087,6 +3094,7 @@ type SearchEntriesRequest struct {
 	PageToken string `protobuf:"bytes,4,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
 	// Optional. Specifies the ordering of results.
 	// Supported values are:
+	//
 	// * `relevance` (default)
 	// * `last_modified_timestamp`
 	// * `last_modified_timestamp asc`
@@ -5725,7 +5733,7 @@ var file_google_cloud_dataplex_v1_catalog_proto_rawDesc = []byte{
 	0x09, 0x42, 0x2b, 0xe0, 0x41, 0x02, 0xfa, 0x41, 0x25, 0x0a, 0x23, 0x64, 0x61, 0x74, 0x61, 0x70,
 	0x6c, 0x65, 0x78, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x61, 0x70, 0x69, 0x73, 0x2e, 0x63,
 	0x6f, 0x6d, 0x2f, 0x4d, 0x65, 0x74, 0x61, 0x64, 0x61, 0x74, 0x61, 0x4a, 0x6f, 0x62, 0x52, 0x04,
-	0x6e, 0x61, 0x6d, 0x65, 0x22, 0xb3, 0x13, 0x0a, 0x0b, 0x4d, 0x65, 0x74, 0x61, 0x64, 0x61, 0x74,
+	0x6e, 0x61, 0x6d, 0x65, 0x22, 0xbd, 0x13, 0x0a, 0x0b, 0x4d, 0x65, 0x74, 0x61, 0x64, 0x61, 0x74,
 	0x61, 0x4a, 0x6f, 0x62, 0x12, 0x1a, 0x0a, 0x04, 0x6e, 0x61, 0x6d, 0x65, 0x18, 0x01, 0x20, 0x01,
 	0x28, 0x09, 0x42, 0x06, 0xe0, 0x41, 0x03, 0xe0, 0x41, 0x08, 0x52, 0x04, 0x6e, 0x61, 0x6d, 0x65,
 	0x12, 0x1d, 0x0a, 0x03, 0x75, 0x69, 0x64, 0x18, 0x02, 0x20, 0x01, 0x28, 0x09, 0x42, 0x0b, 0xe0,
@@ -5784,7 +5792,7 @@ var file_google_cloud_dataplex_v1_catalog_proto_rawDesc = []byte{
 	0x18, 0x05, 0x20, 0x01, 0x28, 0x0b, 0x32, 0x1a, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e,
 	0x70, 0x72, 0x6f, 0x74, 0x6f, 0x62, 0x75, 0x66, 0x2e, 0x54, 0x69, 0x6d, 0x65, 0x73, 0x74, 0x61,
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+	0x78, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x61, 0x70, 0x69, 0x73, 0x2e, 0x63, 0x6f, 0x6d,
+	0xd2, 0x41, 0x2e, 0x68, 0x74, 0x74, 0x70, 0x73, 0x3a, 0x2f, 0x2f, 0x77, 0x77, 0x77, 0x2e, 0x67,
+	0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x61, 0x70, 0x69, 0x73, 0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x61, 0x75,
+	0x74, 0x68, 0x2f, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2d, 0x70, 0x6c, 0x61, 0x74, 0x66, 0x6f, 0x72,
+	0x6d, 0x42, 0xbc, 0x01, 0x0a, 0x1c, 0x63, 0x6f, 0x6d, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65,
+	0x2e, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x64, 0x61, 0x74, 0x61, 0x70, 0x6c, 0x65, 0x78, 0x2e,
+	0x76, 0x31, 0x42, 0x0c, 0x43, 0x61, 0x74, 0x61, 0x6c, 0x6f, 0x67, 0x50, 0x72, 0x6f, 0x74, 0x6f,
+	0x50, 0x01, 0x5a, 0x38, 0x63, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x67, 0x6f, 0x6f, 0x67, 0x6c, 0x65,
+	0x2e, 0x63, 0x6f, 0x6d, 0x2f, 0x67, 0x6f, 0x2f, 0x64, 0x61, 0x74, 0x61, 0x70, 0x6c, 0x65, 0x78,
+	0x2f, 0x61, 0x70, 0x69, 0x76, 0x31, 0x2f, 0x64, 0x61, 0x74, 0x61, 0x70, 0x6c, 0x65, 0x78, 0x70,
+	0x62, 0x3b, 0x64, 0x61, 0x74, 0x61, 0x70, 0x6c, 0x65, 0x78, 0x70, 0x62, 0xaa, 0x02, 0x18, 0x47,
+	0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x2e, 0x43, 0x6c, 0x6f, 0x75, 0x64, 0x2e, 0x44, 0x61, 0x74, 0x61,
+	0x70, 0x6c, 0x65, 0x78, 0x2e, 0x56, 0x31, 0xca, 0x02, 0x18, 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65,
+	0x5c, 0x43, 0x6c, 0x6f, 0x75, 0x64, 0x5c, 0x44, 0x61, 0x74, 0x61, 0x70, 0x6c, 0x65, 0x78, 0x5c,
+	0x56, 0x31, 0xea, 0x02, 0x1b, 0x47, 0x6f, 0x6f, 0x67, 0x6c, 0x65, 0x3a, 0x3a, 0x43, 0x6c, 0x6f,
+	0x75, 0x64, 0x3a, 0x3a, 0x44, 0x61, 0x74, 0x61, 0x70, 0x6c, 0x65, 0x78, 0x3a, 0x3a, 0x56, 0x31,
+	0x62, 0x06, 0x70, 0x72, 0x6f, 0x74, 0x6f, 0x33,
 }
 
 var (
diff --git a/dataplex/apiv1/dataplexpb/data_quality.pb.go b/dataplex/apiv1/dataplexpb/data_quality.pb.go
index aea732302989..7492888d05ba 100755
--- a/dataplex/apiv1/dataplexpb/data_quality.pb.go
+++ b/dataplex/apiv1/dataplexpb/data_quality.pb.go
@@ -373,10 +373,10 @@ type DataQualityRuleResult struct {
 	// evaluation, or
 	// * exclude `null` rows from the `evaluated_count`, by setting
 	// `ignore_nulls = true`.
-	EvaluatedCount int64 `protobuf:"varint,9,opt,name=evaluated_count,json=evaluatedCount,proto3" json:"evaluated_count,omitempty"`
-	// The number of rows which passed a rule evaluation.
 	//
-	// This field is only valid for row-level type rules.
+	// This field is not set for rule SqlAssertion.
+	EvaluatedCount int64 `protobuf:"varint,9,opt,name=evaluated_count,json=evaluatedCount,proto3" json:"evaluated_count,omitempty"`
+	// This field is not set for rule SqlAssertion.
 	PassedCount int64 `protobuf:"varint,8,opt,name=passed_count,json=passedCount,proto3" json:"passed_count,omitempty"`
 	// The number of rows with null values in the specified column.
 	NullCount int64 `protobuf:"varint,5,opt,name=null_count,json=nullCount,proto3" json:"null_count,omitempty"`
diff --git a/dataplex/apiv1/dataplexpb/datascans.pb.go b/dataplex/apiv1/dataplexpb/datascans.pb.go
index f4cc638d12c8..31d2ea26aacf 100755
--- a/dataplex/apiv1/dataplexpb/datascans.pb.go
+++ b/dataplex/apiv1/dataplexpb/datascans.pb.go
@@ -1125,11 +1125,17 @@ func (x *GenerateDataQualityRulesResponse) GetRule() []*DataQualityRule {
 //
 // For example:
 //
-//   - Data Quality: generates queries based on the rules and runs against the
-//     data to get data quality check results.
-//   - Data Profile: analyzes the data in table(s) and generates insights about
+//   - Data quality: generates queries based on the rules and runs against the
+//     data to get data quality check results. For more information, see [Auto
+//     data quality
+//     overview](https://cloud.google.com/dataplex/docs/auto-data-quality-overview).
+//   - Data profile: analyzes the data in tables and generates insights about
 //     the structure, content and relationships (such as null percent,
-//     cardinality, min/max/mean, etc).
+//     cardinality, min/max/mean, etc). For more information, see [About data
+//     profiling](https://cloud.google.com/dataplex/docs/data-profiling-overview).
+//   - Data discovery: scans data in Cloud Storage buckets to extract and then
+//     catalog metadata. For more information, see [Discover and catalog Cloud
+//     Storage data](https://cloud.google.com/bigquery/docs/automatic-discovery).
 type DataScan struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
diff --git a/documentai/apiv1beta3/documentaipb/document_processor_service.pb.go b/documentai/apiv1beta3/documentaipb/document_processor_service.pb.go
index eed84efb272a..b641e6e35fb6 100755
--- a/documentai/apiv1beta3/documentaipb/document_processor_service.pb.go
+++ b/documentai/apiv1beta3/documentaipb/document_processor_service.pb.go
@@ -3906,11 +3906,11 @@ type ProcessOptions_LayoutConfig_ChunkingConfig struct {
 	// Optional. Whether or not to include ancestor headings when splitting.
 	IncludeAncestorHeadings bool `protobuf:"varint,2,opt,name=include_ancestor_headings,json=includeAncestorHeadings,proto3" json:"include_ancestor_headings,omitempty"`
 	// Optional. The number of tokens to group together when evaluating
-	// semantic similarity.
+	// semantic similarity. THIS FIELD IS NOT YET USED.
 	SemanticChunkingGroupSize bool `protobuf:"varint,3,opt,name=semantic_chunking_group_size,json=semanticChunkingGroupSize,proto3" json:"semantic_chunking_group_size,omitempty"`
 	// Optional. The percentile of cosine dissimilarity that must be exceeded
 	// between a group of tokens and the next. The smaller this number is, the
-	// more chunks will be generated.
+	// more chunks will be generated. THIS FIELD IS NOT YET USED.
 	BreakpointPercentileThreshold int32 `protobuf:"varint,4,opt,name=breakpoint_percentile_threshold,json=breakpointPercentileThreshold,proto3" json:"breakpoint_percentile_threshold,omitempty"`
 }
 
diff --git a/internal/generated/snippets/aiplatform/apiv1/snippet_metadata.google.cloud.aiplatform.v1.json b/internal/generated/snippets/aiplatform/apiv1/snippet_metadata.google.cloud.aiplatform.v1.json
index 749a9bd70e47..b1ed7c6cc9cc 100644
--- a/internal/generated/snippets/aiplatform/apiv1/snippet_metadata.google.cloud.aiplatform.v1.json
+++ b/internal/generated/snippets/aiplatform/apiv1/snippet_metadata.google.cloud.aiplatform.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/aiplatform/apiv1",
-    "version": "1.71.0",
+    "version": "1.72.0",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/aiplatform/apiv1beta1/EvaluationClient/EvaluateDataset/main.go b/internal/generated/snippets/aiplatform/apiv1beta1/EvaluationClient/EvaluateDataset/main.go
new file mode 100644
index 000000000000..c5c021f5c9af
--- /dev/null
+++ b/internal/generated/snippets/aiplatform/apiv1beta1/EvaluationClient/EvaluateDataset/main.go
@@ -0,0 +1,58 @@
+// Copyright 2025 Google LLC
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     https://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+// Code generated by protoc-gen-go_gapic. DO NOT EDIT.
+
+// [START aiplatform_v1beta1_generated_EvaluationService_EvaluateDataset_sync]
+
+package main
+
+import (
+	"context"
+
+	aiplatform "cloud.google.com/go/aiplatform/apiv1beta1"
+	aiplatformpb "cloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb"
+)
+
+func main() {
+	ctx := context.Background()
+	// This snippet has been automatically generated and should be regarded as a code template only.
+	// It will require modifications to work:
+	// - It may require correct/in-range values for request initialization.
+	// - It may require specifying regional endpoints when creating the service client as shown in:
+	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
+	c, err := aiplatform.NewEvaluationClient(ctx)
+	if err != nil {
+		// TODO: Handle error.
+	}
+	defer c.Close()
+
+	req := &aiplatformpb.EvaluateDatasetRequest{
+		// TODO: Fill request struct fields.
+		// See https://pkg.go.dev/cloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb#EvaluateDatasetRequest.
+	}
+	op, err := c.EvaluateDataset(ctx, req)
+	if err != nil {
+		// TODO: Handle error.
+	}
+
+	resp, err := op.Wait(ctx)
+	if err != nil {
+		// TODO: Handle error.
+	}
+	// TODO: Use resp.
+	_ = resp
+}
+
+// [END aiplatform_v1beta1_generated_EvaluationService_EvaluateDataset_sync]
diff --git a/internal/generated/snippets/aiplatform/apiv1beta1/snippet_metadata.google.cloud.aiplatform.v1beta1.json b/internal/generated/snippets/aiplatform/apiv1beta1/snippet_metadata.google.cloud.aiplatform.v1beta1.json
index 0bdb230256bf..ca6eb7f83d59 100644
--- a/internal/generated/snippets/aiplatform/apiv1beta1/snippet_metadata.google.cloud.aiplatform.v1beta1.json
+++ b/internal/generated/snippets/aiplatform/apiv1beta1/snippet_metadata.google.cloud.aiplatform.v1beta1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/aiplatform/apiv1beta1",
-    "version": "1.71.0",
+    "version": "1.72.0",
     "language": "GO",
     "apis": [
       {
@@ -3039,6 +3039,52 @@
         }
       ]
     },
+    {
+      "regionTag": "aiplatform_v1beta1_generated_EvaluationService_EvaluateDataset_sync",
+      "title": "aiplatform EvaluateDataset Sample",
+      "description": "EvaluateDataset evaluates a dataset based on a set of given metrics.",
+      "file": "EvaluationClient/EvaluateDataset/main.go",
+      "language": "GO",
+      "clientMethod": {
+        "shortName": "EvaluateDataset",
+        "fullName": "google.cloud.aiplatform.v1beta1.EvaluationClient.EvaluateDataset",
+        "parameters": [
+          {
+            "type": "context.Context",
+            "name": "ctx"
+          },
+          {
+            "type": "aiplatformpb.EvaluateDatasetRequest",
+            "name": "req"
+          },
+          {
+            "type": "...gax.CallOption",
+            "name": "opts"
+          }
+        ],
+        "resultType": "EvaluateDatasetOperation",
+        "client": {
+          "shortName": "EvaluationClient",
+          "fullName": "google.cloud.aiplatform.v1beta1.EvaluationClient"
+        },
+        "method": {
+          "shortName": "EvaluateDataset",
+          "fullName": "google.cloud.aiplatform.v1beta1.EvaluationService.EvaluateDataset",
+          "service": {
+            "shortName": "EvaluationService",
+            "fullName": "google.cloud.aiplatform.v1beta1.EvaluationService"
+          }
+        }
+      },
+      "origin": "API_DEFINITION",
+      "segments": [
+        {
+          "start": 18,
+          "end": 58,
+          "type": "FULL"
+        }
+      ]
+    },
     {
       "regionTag": "aiplatform_v1beta1_generated_EvaluationService_EvaluateInstances_sync",
       "title": "aiplatform EvaluateInstances Sample",
diff --git a/internal/generated/snippets/bigquery/analyticshub/apiv1/snippet_metadata.google.cloud.bigquery.analyticshub.v1.json b/internal/generated/snippets/bigquery/analyticshub/apiv1/snippet_metadata.google.cloud.bigquery.analyticshub.v1.json
index f7418885a4eb..3e7f1a29b750 100644
--- a/internal/generated/snippets/bigquery/analyticshub/apiv1/snippet_metadata.google.cloud.bigquery.analyticshub.v1.json
+++ b/internal/generated/snippets/bigquery/analyticshub/apiv1/snippet_metadata.google.cloud.bigquery.analyticshub.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/analyticshub/apiv1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/biglake/apiv1/snippet_metadata.google.cloud.bigquery.biglake.v1.json b/internal/generated/snippets/bigquery/biglake/apiv1/snippet_metadata.google.cloud.bigquery.biglake.v1.json
index b43b59bfd848..a13a4cc0d546 100644
--- a/internal/generated/snippets/bigquery/biglake/apiv1/snippet_metadata.google.cloud.bigquery.biglake.v1.json
+++ b/internal/generated/snippets/bigquery/biglake/apiv1/snippet_metadata.google.cloud.bigquery.biglake.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/biglake/apiv1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/biglake/apiv1alpha1/snippet_metadata.google.cloud.bigquery.biglake.v1alpha1.json b/internal/generated/snippets/bigquery/biglake/apiv1alpha1/snippet_metadata.google.cloud.bigquery.biglake.v1alpha1.json
index e0dd1d5222bc..2c5b97db530f 100644
--- a/internal/generated/snippets/bigquery/biglake/apiv1alpha1/snippet_metadata.google.cloud.bigquery.biglake.v1alpha1.json
+++ b/internal/generated/snippets/bigquery/biglake/apiv1alpha1/snippet_metadata.google.cloud.bigquery.biglake.v1alpha1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/biglake/apiv1alpha1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/connection/apiv1/snippet_metadata.google.cloud.bigquery.connection.v1.json b/internal/generated/snippets/bigquery/connection/apiv1/snippet_metadata.google.cloud.bigquery.connection.v1.json
index ead08e14938e..bbb5e64ae2d5 100644
--- a/internal/generated/snippets/bigquery/connection/apiv1/snippet_metadata.google.cloud.bigquery.connection.v1.json
+++ b/internal/generated/snippets/bigquery/connection/apiv1/snippet_metadata.google.cloud.bigquery.connection.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/connection/apiv1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/connection/apiv1beta1/snippet_metadata.google.cloud.bigquery.connection.v1beta1.json b/internal/generated/snippets/bigquery/connection/apiv1beta1/snippet_metadata.google.cloud.bigquery.connection.v1beta1.json
index 8f6cd6245996..064d50751c9f 100644
--- a/internal/generated/snippets/bigquery/connection/apiv1beta1/snippet_metadata.google.cloud.bigquery.connection.v1beta1.json
+++ b/internal/generated/snippets/bigquery/connection/apiv1beta1/snippet_metadata.google.cloud.bigquery.connection.v1beta1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/connection/apiv1beta1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/dataexchange/apiv1beta1/snippet_metadata.google.cloud.bigquery.dataexchange.v1beta1.json b/internal/generated/snippets/bigquery/dataexchange/apiv1beta1/snippet_metadata.google.cloud.bigquery.dataexchange.v1beta1.json
index 287f6252fa74..633d095843f3 100644
--- a/internal/generated/snippets/bigquery/dataexchange/apiv1beta1/snippet_metadata.google.cloud.bigquery.dataexchange.v1beta1.json
+++ b/internal/generated/snippets/bigquery/dataexchange/apiv1beta1/snippet_metadata.google.cloud.bigquery.dataexchange.v1beta1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/dataexchange/apiv1beta1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/datapolicies/apiv1/snippet_metadata.google.cloud.bigquery.datapolicies.v1.json b/internal/generated/snippets/bigquery/datapolicies/apiv1/snippet_metadata.google.cloud.bigquery.datapolicies.v1.json
index abb6ee0aa9ac..190a96aeba1c 100644
--- a/internal/generated/snippets/bigquery/datapolicies/apiv1/snippet_metadata.google.cloud.bigquery.datapolicies.v1.json
+++ b/internal/generated/snippets/bigquery/datapolicies/apiv1/snippet_metadata.google.cloud.bigquery.datapolicies.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/datapolicies/apiv1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/datapolicies/apiv1beta1/snippet_metadata.google.cloud.bigquery.datapolicies.v1beta1.json b/internal/generated/snippets/bigquery/datapolicies/apiv1beta1/snippet_metadata.google.cloud.bigquery.datapolicies.v1beta1.json
index b696ca1a75da..c97f7847db6a 100644
--- a/internal/generated/snippets/bigquery/datapolicies/apiv1beta1/snippet_metadata.google.cloud.bigquery.datapolicies.v1beta1.json
+++ b/internal/generated/snippets/bigquery/datapolicies/apiv1beta1/snippet_metadata.google.cloud.bigquery.datapolicies.v1beta1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/datapolicies/apiv1beta1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/datatransfer/apiv1/snippet_metadata.google.cloud.bigquery.datatransfer.v1.json b/internal/generated/snippets/bigquery/datatransfer/apiv1/snippet_metadata.google.cloud.bigquery.datatransfer.v1.json
index 114f5c7cf8fd..47187bd029e7 100644
--- a/internal/generated/snippets/bigquery/datatransfer/apiv1/snippet_metadata.google.cloud.bigquery.datatransfer.v1.json
+++ b/internal/generated/snippets/bigquery/datatransfer/apiv1/snippet_metadata.google.cloud.bigquery.datatransfer.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/datatransfer/apiv1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/migration/apiv2/snippet_metadata.google.cloud.bigquery.migration.v2.json b/internal/generated/snippets/bigquery/migration/apiv2/snippet_metadata.google.cloud.bigquery.migration.v2.json
index d6e2e276739a..8f567753fb85 100644
--- a/internal/generated/snippets/bigquery/migration/apiv2/snippet_metadata.google.cloud.bigquery.migration.v2.json
+++ b/internal/generated/snippets/bigquery/migration/apiv2/snippet_metadata.google.cloud.bigquery.migration.v2.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/migration/apiv2",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/migration/apiv2alpha/snippet_metadata.google.cloud.bigquery.migration.v2alpha.json b/internal/generated/snippets/bigquery/migration/apiv2alpha/snippet_metadata.google.cloud.bigquery.migration.v2alpha.json
index 6e76aaf89f9f..dab97363de72 100644
--- a/internal/generated/snippets/bigquery/migration/apiv2alpha/snippet_metadata.google.cloud.bigquery.migration.v2alpha.json
+++ b/internal/generated/snippets/bigquery/migration/apiv2alpha/snippet_metadata.google.cloud.bigquery.migration.v2alpha.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/migration/apiv2alpha",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/reservation/apiv1/snippet_metadata.google.cloud.bigquery.reservation.v1.json b/internal/generated/snippets/bigquery/reservation/apiv1/snippet_metadata.google.cloud.bigquery.reservation.v1.json
index ee130e5b463b..9d2fe78e693b 100644
--- a/internal/generated/snippets/bigquery/reservation/apiv1/snippet_metadata.google.cloud.bigquery.reservation.v1.json
+++ b/internal/generated/snippets/bigquery/reservation/apiv1/snippet_metadata.google.cloud.bigquery.reservation.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/reservation/apiv1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/storage/apiv1/snippet_metadata.google.cloud.bigquery.storage.v1.json b/internal/generated/snippets/bigquery/storage/apiv1/snippet_metadata.google.cloud.bigquery.storage.v1.json
index 03abceabbbeb..2d5567d75ecf 100644
--- a/internal/generated/snippets/bigquery/storage/apiv1/snippet_metadata.google.cloud.bigquery.storage.v1.json
+++ b/internal/generated/snippets/bigquery/storage/apiv1/snippet_metadata.google.cloud.bigquery.storage.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/storage/apiv1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/storage/apiv1alpha/snippet_metadata.google.cloud.bigquery.storage.v1alpha.json b/internal/generated/snippets/bigquery/storage/apiv1alpha/snippet_metadata.google.cloud.bigquery.storage.v1alpha.json
index 59131a4cf857..a2a8ab732cd9 100644
--- a/internal/generated/snippets/bigquery/storage/apiv1alpha/snippet_metadata.google.cloud.bigquery.storage.v1alpha.json
+++ b/internal/generated/snippets/bigquery/storage/apiv1alpha/snippet_metadata.google.cloud.bigquery.storage.v1alpha.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/storage/apiv1alpha",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/storage/apiv1beta1/snippet_metadata.google.cloud.bigquery.storage.v1beta1.json b/internal/generated/snippets/bigquery/storage/apiv1beta1/snippet_metadata.google.cloud.bigquery.storage.v1beta1.json
index 6cb16bf7eb26..8106153ca305 100644
--- a/internal/generated/snippets/bigquery/storage/apiv1beta1/snippet_metadata.google.cloud.bigquery.storage.v1beta1.json
+++ b/internal/generated/snippets/bigquery/storage/apiv1beta1/snippet_metadata.google.cloud.bigquery.storage.v1beta1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/storage/apiv1beta1",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/bigquery/storage/apiv1beta2/snippet_metadata.google.cloud.bigquery.storage.v1beta2.json b/internal/generated/snippets/bigquery/storage/apiv1beta2/snippet_metadata.google.cloud.bigquery.storage.v1beta2.json
index 5f1ee5950163..14d686e3a939 100644
--- a/internal/generated/snippets/bigquery/storage/apiv1beta2/snippet_metadata.google.cloud.bigquery.storage.v1beta2.json
+++ b/internal/generated/snippets/bigquery/storage/apiv1beta2/snippet_metadata.google.cloud.bigquery.storage.v1beta2.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/bigquery/storage/apiv1beta2",
-    "version": "1.66.1",
+    "version": "1.66.2",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/compute/apiv1/snippet_metadata.google.cloud.compute.v1.json b/internal/generated/snippets/compute/apiv1/snippet_metadata.google.cloud.compute.v1.json
index ea9fbfa3adce..4e19e4ef83e1 100644
--- a/internal/generated/snippets/compute/apiv1/snippet_metadata.google.cloud.compute.v1.json
+++ b/internal/generated/snippets/compute/apiv1/snippet_metadata.google.cloud.compute.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/compute/apiv1",
-    "version": "1.32.0",
+    "version": "1.33.0",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/monitoring/apiv3/v2/snippet_metadata.google.monitoring.v3.json b/internal/generated/snippets/monitoring/apiv3/v2/snippet_metadata.google.monitoring.v3.json
index d97725d92fc8..fd851992ce0a 100644
--- a/internal/generated/snippets/monitoring/apiv3/v2/snippet_metadata.google.monitoring.v3.json
+++ b/internal/generated/snippets/monitoring/apiv3/v2/snippet_metadata.google.monitoring.v3.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/monitoring/apiv3/v2",
-    "version": "1.23.0",
+    "version": "1.24.0",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/monitoring/dashboard/apiv1/snippet_metadata.google.monitoring.dashboard.v1.json b/internal/generated/snippets/monitoring/dashboard/apiv1/snippet_metadata.google.monitoring.dashboard.v1.json
index 2858bf5604b6..d9f047e3532a 100644
--- a/internal/generated/snippets/monitoring/dashboard/apiv1/snippet_metadata.google.monitoring.dashboard.v1.json
+++ b/internal/generated/snippets/monitoring/dashboard/apiv1/snippet_metadata.google.monitoring.dashboard.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/monitoring/dashboard/apiv1",
-    "version": "1.23.0",
+    "version": "1.24.0",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/monitoring/metricsscope/apiv1/snippet_metadata.google.monitoring.metricsscope.v1.json b/internal/generated/snippets/monitoring/metricsscope/apiv1/snippet_metadata.google.monitoring.metricsscope.v1.json
index 87792c60be28..e7956b43528e 100644
--- a/internal/generated/snippets/monitoring/metricsscope/apiv1/snippet_metadata.google.monitoring.metricsscope.v1.json
+++ b/internal/generated/snippets/monitoring/metricsscope/apiv1/snippet_metadata.google.monitoring.metricsscope.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/monitoring/metricsscope/apiv1",
-    "version": "1.23.0",
+    "version": "1.24.0",
     "language": "GO",
     "apis": [
       {
diff --git a/internal/generated/snippets/netapp/apiv1/snippet_metadata.google.cloud.netapp.v1.json b/internal/generated/snippets/netapp/apiv1/snippet_metadata.google.cloud.netapp.v1.json
index 2062a7b79c4e..d625fbddc213 100644
--- a/internal/generated/snippets/netapp/apiv1/snippet_metadata.google.cloud.netapp.v1.json
+++ b/internal/generated/snippets/netapp/apiv1/snippet_metadata.google.cloud.netapp.v1.json
@@ -1,7 +1,7 @@
 {
   "clientLibrary": {
     "name": "cloud.google.com/go/netapp/apiv1",
-    "version": "1.6.0",
+    "version": "1.7.0",
     "language": "GO",
     "apis": [
       {