Class ModelContainerSpec.Builder (3.49.0)

Version 3.49.0

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public static final class ModelContainerSpec.Builder extends GeneratedMessageV3.Builder<ModelContainerSpec.Builder> implements ModelContainerSpecOrBuilder

Specification of a container for serving predictions. Some fields in this message correspond to fields in the Kubernetes Container v1 core specification.

Protobuf type google.cloud.aiplatform.v1.ModelContainerSpec

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelContainerSpec.Builder

Implements

ModelContainerSpecOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addAllArgs(Iterable<String> values)

public ModelContainerSpec.Builder addAllArgs(Iterable<String> values)

Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's CMD. Specify this field as an array of executable and arguments, similar to a Docker CMD's "default parameters" form.

If you don't specify this field but do specify the command field, then the command from the command field runs without any additional arguments. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

If you don't specify this field and don't specify the command field, then the container's ENTRYPOINT and CMD determine what runs based on their default behavior. See the Docker documentation about how CMD and ENTRYPOINT interact.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the args field of the Kubernetes Containers v1 core API.

repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
values	Iterable<String> The args to add.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

addAllCommand(Iterable<String> values)

public ModelContainerSpec.Builder addAllCommand(Iterable<String> values)

Immutable. Specifies the command that runs when the container starts. This overrides the container's ENTRYPOINT. Specify this field as an array of executable and arguments, similar to a Docker ENTRYPOINT's "exec" form, not its "shell" form.

If you do not specify this field, then the container's ENTRYPOINT runs, in conjunction with the args field or the container's CMD, if either exists. If this field is not specified and the container does not have an ENTRYPOINT, then refer to the Docker documentation about how CMD and ENTRYPOINT interact.

If you specify this field, then you can also specify the args field to provide additional arguments for this command. However, if you specify this field, then the container's CMD is ignored. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the command field of the Kubernetes Containers v1 core API.

repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
values	Iterable<String> The command to add.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

addAllEnv(Iterable<? extends EnvVar> values)

public ModelContainerSpec.Builder addAllEnv(Iterable<? extends EnvVar> values)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.aiplatform.v1.EnvVar>

Returns
Type	Description
ModelContainerSpec.Builder

addAllGrpcPorts(Iterable<? extends Port> values)

public ModelContainerSpec.Builder addAllGrpcPorts(Iterable<? extends Port> values)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.aiplatform.v1.Port>

Returns
Type	Description
ModelContainerSpec.Builder

addAllPorts(Iterable<? extends Port> values)

public ModelContainerSpec.Builder addAllPorts(Iterable<? extends Port> values)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.aiplatform.v1.Port>

Returns
Type	Description
ModelContainerSpec.Builder

addArgs(String value)

public ModelContainerSpec.Builder addArgs(String value)

Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's CMD. Specify this field as an array of executable and arguments, similar to a Docker CMD's "default parameters" form.

If you don't specify this field but do specify the command field, then the command from the command field runs without any additional arguments. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

If you don't specify this field and don't specify the command field, then the container's ENTRYPOINT and CMD determine what runs based on their default behavior. See the Docker documentation about how CMD and ENTRYPOINT interact.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the args field of the Kubernetes Containers v1 core API.

repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	String The args to add.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

addArgsBytes(ByteString value)

public ModelContainerSpec.Builder addArgsBytes(ByteString value)

Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's CMD. Specify this field as an array of executable and arguments, similar to a Docker CMD's "default parameters" form.

If you don't specify this field but do specify the command field, then the command from the command field runs without any additional arguments. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

If you don't specify this field and don't specify the command field, then the container's ENTRYPOINT and CMD determine what runs based on their default behavior. See the Docker documentation about how CMD and ENTRYPOINT interact.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the args field of the Kubernetes Containers v1 core API.

repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	ByteString The bytes of the args to add.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

addCommand(String value)

public ModelContainerSpec.Builder addCommand(String value)

Immutable. Specifies the command that runs when the container starts. This overrides the container's ENTRYPOINT. Specify this field as an array of executable and arguments, similar to a Docker ENTRYPOINT's "exec" form, not its "shell" form.

If you do not specify this field, then the container's ENTRYPOINT runs, in conjunction with the args field or the container's CMD, if either exists. If this field is not specified and the container does not have an ENTRYPOINT, then refer to the Docker documentation about how CMD and ENTRYPOINT interact.

If you specify this field, then you can also specify the args field to provide additional arguments for this command. However, if you specify this field, then the container's CMD is ignored. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the command field of the Kubernetes Containers v1 core API.

repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	String The command to add.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

addCommandBytes(ByteString value)

public ModelContainerSpec.Builder addCommandBytes(ByteString value)

Immutable. Specifies the command that runs when the container starts. This overrides the container's ENTRYPOINT. Specify this field as an array of executable and arguments, similar to a Docker ENTRYPOINT's "exec" form, not its "shell" form.

If you do not specify this field, then the container's ENTRYPOINT runs, in conjunction with the args field or the container's CMD, if either exists. If this field is not specified and the container does not have an ENTRYPOINT, then refer to the Docker documentation about how CMD and ENTRYPOINT interact.

If you specify this field, then you can also specify the args field to provide additional arguments for this command. However, if you specify this field, then the container's CMD is ignored. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the command field of the Kubernetes Containers v1 core API.

repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	ByteString The bytes of the command to add.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

addEnv(EnvVar value)

public ModelContainerSpec.Builder addEnv(EnvVar value)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	EnvVar

Returns
Type	Description
ModelContainerSpec.Builder

addEnv(EnvVar.Builder builderForValue)

public ModelContainerSpec.Builder addEnv(EnvVar.Builder builderForValue)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
builderForValue	EnvVar.Builder

Returns
Type	Description
ModelContainerSpec.Builder

addEnv(int index, EnvVar value)

public ModelContainerSpec.Builder addEnv(int index, EnvVar value)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
value	EnvVar

Returns
Type	Description
ModelContainerSpec.Builder

addEnv(int index, EnvVar.Builder builderForValue)

public ModelContainerSpec.Builder addEnv(int index, EnvVar.Builder builderForValue)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
builderForValue	EnvVar.Builder

Returns
Type	Description
ModelContainerSpec.Builder

addEnvBuilder()

public EnvVar.Builder addEnvBuilder()

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
EnvVar.Builder

addEnvBuilder(int index)

public EnvVar.Builder addEnvBuilder(int index)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
EnvVar.Builder

addGrpcPorts(Port value)

public ModelContainerSpec.Builder addGrpcPorts(Port value)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	Port

Returns
Type	Description
ModelContainerSpec.Builder

addGrpcPorts(Port.Builder builderForValue)

public ModelContainerSpec.Builder addGrpcPorts(Port.Builder builderForValue)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
builderForValue	Port.Builder

Returns
Type	Description
ModelContainerSpec.Builder

addGrpcPorts(int index, Port value)

public ModelContainerSpec.Builder addGrpcPorts(int index, Port value)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
value	Port

Returns
Type	Description
ModelContainerSpec.Builder

addGrpcPorts(int index, Port.Builder builderForValue)

public ModelContainerSpec.Builder addGrpcPorts(int index, Port.Builder builderForValue)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
builderForValue	Port.Builder

Returns
Type	Description
ModelContainerSpec.Builder

addGrpcPortsBuilder()

public Port.Builder addGrpcPortsBuilder()

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
Port.Builder

addGrpcPortsBuilder(int index)

public Port.Builder addGrpcPortsBuilder(int index)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
Port.Builder

addPorts(Port value)

public ModelContainerSpec.Builder addPorts(Port value)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	Port

Returns
Type	Description
ModelContainerSpec.Builder

addPorts(Port.Builder builderForValue)

public ModelContainerSpec.Builder addPorts(Port.Builder builderForValue)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
builderForValue	Port.Builder

Returns
Type	Description
ModelContainerSpec.Builder

addPorts(int index, Port value)

public ModelContainerSpec.Builder addPorts(int index, Port value)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
value	Port

Returns
Type	Description
ModelContainerSpec.Builder

addPorts(int index, Port.Builder builderForValue)

public ModelContainerSpec.Builder addPorts(int index, Port.Builder builderForValue)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
builderForValue	Port.Builder

Returns
Type	Description
ModelContainerSpec.Builder

addPortsBuilder()

public Port.Builder addPortsBuilder()

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
Port.Builder

addPortsBuilder(int index)

public Port.Builder addPortsBuilder(int index)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
Port.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ModelContainerSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ModelContainerSpec build()

Returns
Type	Description
ModelContainerSpec

buildPartial()

public ModelContainerSpec buildPartial()

Returns
Type	Description
ModelContainerSpec

clear()

public ModelContainerSpec.Builder clear()

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearArgs()

public ModelContainerSpec.Builder clearArgs()

Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's CMD. Specify this field as an array of executable and arguments, similar to a Docker CMD's "default parameters" form.

If you don't specify this field but do specify the command field, then the command from the command field runs without any additional arguments. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

If you don't specify this field and don't specify the command field, then the container's ENTRYPOINT and CMD determine what runs based on their default behavior. See the Docker documentation about how CMD and ENTRYPOINT interact.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the args field of the Kubernetes Containers v1 core API.

repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

clearCommand()

public ModelContainerSpec.Builder clearCommand()

Immutable. Specifies the command that runs when the container starts. This overrides the container's ENTRYPOINT. Specify this field as an array of executable and arguments, similar to a Docker ENTRYPOINT's "exec" form, not its "shell" form.

If you do not specify this field, then the container's ENTRYPOINT runs, in conjunction with the args field or the container's CMD, if either exists. If this field is not specified and the container does not have an ENTRYPOINT, then refer to the Docker documentation about how CMD and ENTRYPOINT interact.

If you specify this field, then you can also specify the args field to provide additional arguments for this command. However, if you specify this field, then the container's CMD is ignored. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the command field of the Kubernetes Containers v1 core API.

repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

clearDeploymentTimeout()

public ModelContainerSpec.Builder clearDeploymentTimeout()

Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.

.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder

clearEnv()

public ModelContainerSpec.Builder clearEnv()

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder

clearField(Descriptors.FieldDescriptor field)

public ModelContainerSpec.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearGrpcPorts()

public ModelContainerSpec.Builder clearGrpcPorts()

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder

clearHealthProbe()

public ModelContainerSpec.Builder clearHealthProbe()

Immutable. Specification for Kubernetes readiness probe.

.google.cloud.aiplatform.v1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder

clearHealthRoute()

public ModelContainerSpec.Builder clearHealthRoute()

Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about health checks.

For example, if you set this field to /bar, then Vertex AI intermittently sends a GET request to the /bar path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

clearImageUri()

public ModelContainerSpec.Builder clearImageUri()

Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the container publishing requirements, including permissions requirements for the Vertex AI Service Agent.

The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used.

To learn about the requirements for the Docker image itself, see Custom container requirements.

You can use the URI to one of Vertex AI's pre-built container images for prediction in this field.

string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelContainerSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearPorts()

public ModelContainerSpec.Builder clearPorts()

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder

clearPredictRoute()

public ModelContainerSpec.Builder clearPredictRoute()

Immutable. HTTP path on the container to send prediction requests to. Vertex AI forwards requests sent using projects.locations.endpoints.predict to this path on the container's IP address and port. Vertex AI then returns the container's response in the API response.

For example, if you set this field to /foo, then when Vertex AI receives a prediction request, it forwards the request body in a POST request to the /foo path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

clearSharedMemorySizeMb()

public ModelContainerSpec.Builder clearSharedMemorySizeMb()

Immutable. The amount of the VM memory to reserve as the shared memory for the model in megabytes.

int64 shared_memory_size_mb = 11 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

clearStartupProbe()

public ModelContainerSpec.Builder clearStartupProbe()

Immutable. Specification for Kubernetes startup probe.

.google.cloud.aiplatform.v1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ModelContainerSpec.Builder

clone()

public ModelContainerSpec.Builder clone()

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getArgs(int index)

public String getArgs(int index)

Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's CMD. Specify this field as an array of executable and arguments, similar to a Docker CMD's "default parameters" form.

If you don't specify this field but do specify the command field, then the command from the command field runs without any additional arguments. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

If you don't specify this field and don't specify the command field, then the container's ENTRYPOINT and CMD determine what runs based on their default behavior. See the Docker documentation about how CMD and ENTRYPOINT interact.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the args field of the Kubernetes Containers v1 core API.

repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int The index of the element to return.

Returns
Type	Description
String	The args at the given index.

getArgsBytes(int index)

public ByteString getArgsBytes(int index)

Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's CMD. Specify this field as an array of executable and arguments, similar to a Docker CMD's "default parameters" form.

If you don't specify this field but do specify the command field, then the command from the command field runs without any additional arguments. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

If you don't specify this field and don't specify the command field, then the container's ENTRYPOINT and CMD determine what runs based on their default behavior. See the Docker documentation about how CMD and ENTRYPOINT interact.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the args field of the Kubernetes Containers v1 core API.

repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int The index of the value to return.

Returns
Type	Description
ByteString	The bytes of the args at the given index.

getArgsCount()

public int getArgsCount()

Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's CMD. Specify this field as an array of executable and arguments, similar to a Docker CMD's "default parameters" form.

If you don't specify this field but do specify the command field, then the command from the command field runs without any additional arguments. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

If you don't specify this field and don't specify the command field, then the container's ENTRYPOINT and CMD determine what runs based on their default behavior. See the Docker documentation about how CMD and ENTRYPOINT interact.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the args field of the Kubernetes Containers v1 core API.

repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
int	The count of args.

getArgsList()

public ProtocolStringList getArgsList()

Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's CMD. Specify this field as an array of executable and arguments, similar to a Docker CMD's "default parameters" form.

If you don't specify this field but do specify the command field, then the command from the command field runs without any additional arguments. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

If you don't specify this field and don't specify the command field, then the container's ENTRYPOINT and CMD determine what runs based on their default behavior. See the Docker documentation about how CMD and ENTRYPOINT interact.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the args field of the Kubernetes Containers v1 core API.

repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ProtocolStringList	A list containing the args.

getCommand(int index)

public String getCommand(int index)

Immutable. Specifies the command that runs when the container starts. This overrides the container's ENTRYPOINT. Specify this field as an array of executable and arguments, similar to a Docker ENTRYPOINT's "exec" form, not its "shell" form.

If you do not specify this field, then the container's ENTRYPOINT runs, in conjunction with the args field or the container's CMD, if either exists. If this field is not specified and the container does not have an ENTRYPOINT, then refer to the Docker documentation about how CMD and ENTRYPOINT interact.

If you specify this field, then you can also specify the args field to provide additional arguments for this command. However, if you specify this field, then the container's CMD is ignored. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the command field of the Kubernetes Containers v1 core API.

repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int The index of the element to return.

Returns
Type	Description
String	The command at the given index.

getCommandBytes(int index)

public ByteString getCommandBytes(int index)

Immutable. Specifies the command that runs when the container starts. This overrides the container's ENTRYPOINT. Specify this field as an array of executable and arguments, similar to a Docker ENTRYPOINT's "exec" form, not its "shell" form.

If you do not specify this field, then the container's ENTRYPOINT runs, in conjunction with the args field or the container's CMD, if either exists. If this field is not specified and the container does not have an ENTRYPOINT, then refer to the Docker documentation about how CMD and ENTRYPOINT interact.

If you specify this field, then you can also specify the args field to provide additional arguments for this command. However, if you specify this field, then the container's CMD is ignored. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the command field of the Kubernetes Containers v1 core API.

repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int The index of the value to return.

Returns
Type	Description
ByteString	The bytes of the command at the given index.

getCommandCount()

public int getCommandCount()

Immutable. Specifies the command that runs when the container starts. This overrides the container's ENTRYPOINT. Specify this field as an array of executable and arguments, similar to a Docker ENTRYPOINT's "exec" form, not its "shell" form.

If you do not specify this field, then the container's ENTRYPOINT runs, in conjunction with the args field or the container's CMD, if either exists. If this field is not specified and the container does not have an ENTRYPOINT, then refer to the Docker documentation about how CMD and ENTRYPOINT interact.

If you specify this field, then you can also specify the args field to provide additional arguments for this command. However, if you specify this field, then the container's CMD is ignored. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the command field of the Kubernetes Containers v1 core API.

repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
int	The count of command.

getCommandList()

public ProtocolStringList getCommandList()

Immutable. Specifies the command that runs when the container starts. This overrides the container's ENTRYPOINT. Specify this field as an array of executable and arguments, similar to a Docker ENTRYPOINT's "exec" form, not its "shell" form.

If you do not specify this field, then the container's ENTRYPOINT runs, in conjunction with the args field or the container's CMD, if either exists. If this field is not specified and the container does not have an ENTRYPOINT, then refer to the Docker documentation about how CMD and ENTRYPOINT interact.

If you specify this field, then you can also specify the args field to provide additional arguments for this command. However, if you specify this field, then the container's CMD is ignored. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the command field of the Kubernetes Containers v1 core API.

repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ProtocolStringList	A list containing the command.

getDefaultInstanceForType()

public ModelContainerSpec getDefaultInstanceForType()

Returns
Type	Description
ModelContainerSpec

getDeploymentTimeout()

public Duration getDeploymentTimeout()

Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.

.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
Duration	The deploymentTimeout.

getDeploymentTimeoutBuilder()

public Duration.Builder getDeploymentTimeoutBuilder()

Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.

.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
Builder

getDeploymentTimeoutOrBuilder()

public DurationOrBuilder getDeploymentTimeoutOrBuilder()

Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.

.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
DurationOrBuilder

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getEnv(int index)

public EnvVar getEnv(int index)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
EnvVar

getEnvBuilder(int index)

public EnvVar.Builder getEnvBuilder(int index)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
EnvVar.Builder

getEnvBuilderList()

public List<EnvVar.Builder> getEnvBuilderList()

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
List<Builder>

getEnvCount()

public int getEnvCount()

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
int

getEnvList()

public List<EnvVar> getEnvList()

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
List<EnvVar>

getEnvOrBuilder(int index)

public EnvVarOrBuilder getEnvOrBuilder(int index)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
EnvVarOrBuilder

getEnvOrBuilderList()

public List<? extends EnvVarOrBuilder> getEnvOrBuilderList()

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1.EnvVarOrBuilder>

getGrpcPorts(int index)

public Port getGrpcPorts(int index)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
Port

getGrpcPortsBuilder(int index)

public Port.Builder getGrpcPortsBuilder(int index)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
Port.Builder

getGrpcPortsBuilderList()

public List<Port.Builder> getGrpcPortsBuilderList()

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
List<Builder>

getGrpcPortsCount()

public int getGrpcPortsCount()

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
int

getGrpcPortsList()

public List<Port> getGrpcPortsList()

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
List<Port>

getGrpcPortsOrBuilder(int index)

public PortOrBuilder getGrpcPortsOrBuilder(int index)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
PortOrBuilder

getGrpcPortsOrBuilderList()

public List<? extends PortOrBuilder> getGrpcPortsOrBuilderList()

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1.PortOrBuilder>

getHealthProbe()

public Probe getHealthProbe()

Immutable. Specification for Kubernetes readiness probe.

.google.cloud.aiplatform.v1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
Probe	The healthProbe.

getHealthProbeBuilder()

public Probe.Builder getHealthProbeBuilder()

Immutable. Specification for Kubernetes readiness probe.

.google.cloud.aiplatform.v1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
Probe.Builder

getHealthProbeOrBuilder()

public ProbeOrBuilder getHealthProbeOrBuilder()

Immutable. Specification for Kubernetes readiness probe.

.google.cloud.aiplatform.v1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ProbeOrBuilder

getHealthRoute()

public String getHealthRoute()

Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about health checks.

For example, if you set this field to /bar, then Vertex AI intermittently sends a GET request to the /bar path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
String	The healthRoute.

getHealthRouteBytes()

public ByteString getHealthRouteBytes()

Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about health checks.

For example, if you set this field to /bar, then Vertex AI intermittently sends a GET request to the /bar path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ByteString	The bytes for healthRoute.

getImageUri()

public String getImageUri()

Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the container publishing requirements, including permissions requirements for the Vertex AI Service Agent.

The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used.

To learn about the requirements for the Docker image itself, see Custom container requirements.

You can use the URI to one of Vertex AI's pre-built container images for prediction in this field.

string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
String	The imageUri.

getImageUriBytes()

public ByteString getImageUriBytes()

Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the container publishing requirements, including permissions requirements for the Vertex AI Service Agent.

The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used.

To learn about the requirements for the Docker image itself, see Custom container requirements.

You can use the URI to one of Vertex AI's pre-built container images for prediction in this field.

string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ByteString	The bytes for imageUri.

getPorts(int index)

public Port getPorts(int index)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
Port

getPortsBuilder(int index)

public Port.Builder getPortsBuilder(int index)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
Port.Builder

getPortsBuilderList()

public List<Port.Builder> getPortsBuilderList()

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
List<Builder>

getPortsCount()

public int getPortsCount()

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
int

getPortsList()

public List<Port> getPortsList()

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
List<Port>

getPortsOrBuilder(int index)

public PortOrBuilder getPortsOrBuilder(int index)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
PortOrBuilder

getPortsOrBuilderList()

public List<? extends PortOrBuilder> getPortsOrBuilderList()

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1.PortOrBuilder>

getPredictRoute()

public String getPredictRoute()

Immutable. HTTP path on the container to send prediction requests to. Vertex AI forwards requests sent using projects.locations.endpoints.predict to this path on the container's IP address and port. Vertex AI then returns the container's response in the API response.

For example, if you set this field to /foo, then when Vertex AI receives a prediction request, it forwards the request body in a POST request to the /foo path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
String	The predictRoute.

getPredictRouteBytes()

public ByteString getPredictRouteBytes()

Immutable. HTTP path on the container to send prediction requests to. Vertex AI forwards requests sent using projects.locations.endpoints.predict to this path on the container's IP address and port. Vertex AI then returns the container's response in the API response.

For example, if you set this field to /foo, then when Vertex AI receives a prediction request, it forwards the request body in a POST request to the /foo path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ByteString	The bytes for predictRoute.

getSharedMemorySizeMb()

public long getSharedMemorySizeMb()

Immutable. The amount of the VM memory to reserve as the shared memory for the model in megabytes.

int64 shared_memory_size_mb = 11 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
long	The sharedMemorySizeMb.

getStartupProbe()

public Probe getStartupProbe()

Immutable. Specification for Kubernetes startup probe.

.google.cloud.aiplatform.v1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
Probe	The startupProbe.

getStartupProbeBuilder()

public Probe.Builder getStartupProbeBuilder()

Immutable. Specification for Kubernetes startup probe.

.google.cloud.aiplatform.v1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
Probe.Builder

getStartupProbeOrBuilder()

public ProbeOrBuilder getStartupProbeOrBuilder()

Immutable. Specification for Kubernetes startup probe.

.google.cloud.aiplatform.v1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
ProbeOrBuilder

hasDeploymentTimeout()

public boolean hasDeploymentTimeout()

Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.

.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
boolean	Whether the deploymentTimeout field is set.

hasHealthProbe()

public boolean hasHealthProbe()

Immutable. Specification for Kubernetes readiness probe.

.google.cloud.aiplatform.v1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
boolean	Whether the healthProbe field is set.

hasStartupProbe()

public boolean hasStartupProbe()

Immutable. Specification for Kubernetes startup probe.

.google.cloud.aiplatform.v1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];

Returns
Type	Description
boolean	Whether the startupProbe field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeDeploymentTimeout(Duration value)

public ModelContainerSpec.Builder mergeDeploymentTimeout(Duration value)

Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.

.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	Duration

Returns
Type	Description
ModelContainerSpec.Builder

mergeFrom(ModelContainerSpec other)

public ModelContainerSpec.Builder mergeFrom(ModelContainerSpec other)

Parameter
Name	Description
other	ModelContainerSpec

Returns
Type	Description
ModelContainerSpec.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelContainerSpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelContainerSpec.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeHealthProbe(Probe value)

public ModelContainerSpec.Builder mergeHealthProbe(Probe value)

Immutable. Specification for Kubernetes readiness probe.

.google.cloud.aiplatform.v1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	Probe

Returns
Type	Description
ModelContainerSpec.Builder

mergeStartupProbe(Probe value)

public ModelContainerSpec.Builder mergeStartupProbe(Probe value)

Immutable. Specification for Kubernetes startup probe.

.google.cloud.aiplatform.v1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	Probe

Returns
Type	Description
ModelContainerSpec.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelContainerSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

removeEnv(int index)

public ModelContainerSpec.Builder removeEnv(int index)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
ModelContainerSpec.Builder

removeGrpcPorts(int index)

public ModelContainerSpec.Builder removeGrpcPorts(int index)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
ModelContainerSpec.Builder

removePorts(int index)

public ModelContainerSpec.Builder removePorts(int index)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
index	int

Returns
Type	Description
ModelContainerSpec.Builder

setArgs(int index, String value)

public ModelContainerSpec.Builder setArgs(int index, String value)

Immutable. Specifies arguments for the command that runs when the container starts. This overrides the container's CMD. Specify this field as an array of executable and arguments, similar to a Docker CMD's "default parameters" form.

If you don't specify this field but do specify the command field, then the command from the command field runs without any additional arguments. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

If you don't specify this field and don't specify the command field, then the container's ENTRYPOINT and CMD determine what runs based on their default behavior. See the Docker documentation about how CMD and ENTRYPOINT interact.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the args field of the Kubernetes Containers v1 core API.

repeated string args = 3 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int The index to set the value at.
value	String The args to set.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

setCommand(int index, String value)

public ModelContainerSpec.Builder setCommand(int index, String value)

Immutable. Specifies the command that runs when the container starts. This overrides the container's ENTRYPOINT. Specify this field as an array of executable and arguments, similar to a Docker ENTRYPOINT's "exec" form, not its "shell" form.

If you do not specify this field, then the container's ENTRYPOINT runs, in conjunction with the args field or the container's CMD, if either exists. If this field is not specified and the container does not have an ENTRYPOINT, then refer to the Docker documentation about how CMD and ENTRYPOINT interact.

If you specify this field, then you can also specify the args field to provide additional arguments for this command. However, if you specify this field, then the container's CMD is ignored. See the Kubernetes documentation about how the command and args fields interact with a container's ENTRYPOINT and CMD.

In this field, you can reference environment variables set by Vertex AI and environment variables set in the env field. You cannot reference environment variables set in the Docker image. In order for environment variables to be expanded, reference them by using the following syntax: <code>$(<var>VARIABLE_NAME</var>)</code> Note that this differs from Bash variable expansion, which does not use parentheses. If a variable cannot be resolved, the reference in the input string is used unchanged. To avoid variable expansion, you can escape this syntax with $$; for example: <code>$$(<var>VARIABLE_NAME</var>)</code> This field corresponds to the command field of the Kubernetes Containers v1 core API.

repeated string command = 2 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int The index to set the value at.
value	String The command to set.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

setDeploymentTimeout(Duration value)

public ModelContainerSpec.Builder setDeploymentTimeout(Duration value)

Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.

.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	Duration

Returns
Type	Description
ModelContainerSpec.Builder

setDeploymentTimeout(Duration.Builder builderForValue)

public ModelContainerSpec.Builder setDeploymentTimeout(Duration.Builder builderForValue)

Immutable. Deployment timeout. Limit for deployment timeout is 2 hours.

.google.protobuf.Duration deployment_timeout = 10 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
ModelContainerSpec.Builder

setEnv(int index, EnvVar value)

public ModelContainerSpec.Builder setEnv(int index, EnvVar value)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
value	EnvVar

Returns
Type	Description
ModelContainerSpec.Builder

setEnv(int index, EnvVar.Builder builderForValue)

public ModelContainerSpec.Builder setEnv(int index, EnvVar.Builder builderForValue)

Immutable. List of environment variables to set in the container. After the container starts running, code running in the container can read these environment variables.

Additionally, the command and args fields can reference these variables. Later entries in this list can also reference earlier entries. For example, the following example sets the variable VAR_2 to have the value foo bar:

`json [ { "name": "VAR_1", "value": "foo" }, { "name": "VAR_2", "value": "$(VAR_1) bar" } ]

If you switch the order of the variables in the example, then the expansion does not occur.

This field corresponds to the env` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.EnvVar env = 4 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
builderForValue	EnvVar.Builder

Returns
Type	Description
ModelContainerSpec.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public ModelContainerSpec.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setGrpcPorts(int index, Port value)

public ModelContainerSpec.Builder setGrpcPorts(int index, Port value)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
value	Port

Returns
Type	Description
ModelContainerSpec.Builder

setGrpcPorts(int index, Port.Builder builderForValue)

public ModelContainerSpec.Builder setGrpcPorts(int index, Port.Builder builderForValue)

Immutable. List of ports to expose from the container. Vertex AI sends gRPC prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, gRPC requests to the container will be disabled.

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port grpc_ports = 9 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
builderForValue	Port.Builder

Returns
Type	Description
ModelContainerSpec.Builder

setHealthProbe(Probe value)

public ModelContainerSpec.Builder setHealthProbe(Probe value)

Immutable. Specification for Kubernetes readiness probe.

.google.cloud.aiplatform.v1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	Probe

Returns
Type	Description
ModelContainerSpec.Builder

setHealthProbe(Probe.Builder builderForValue)

public ModelContainerSpec.Builder setHealthProbe(Probe.Builder builderForValue)

Immutable. Specification for Kubernetes readiness probe.

.google.cloud.aiplatform.v1.Probe health_probe = 13 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
builderForValue	Probe.Builder

Returns
Type	Description
ModelContainerSpec.Builder

setHealthRoute(String value)

public ModelContainerSpec.Builder setHealthRoute(String value)

Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about health checks.

For example, if you set this field to /bar, then Vertex AI intermittently sends a GET request to the /bar path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	String The healthRoute to set.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

setHealthRouteBytes(ByteString value)

public ModelContainerSpec.Builder setHealthRouteBytes(ByteString value)

Immutable. HTTP path on the container to send health checks to. Vertex AI intermittently sends GET requests to this path on the container's IP address and port to check that the container is healthy. Read more about health checks.

For example, if you set this field to /bar, then Vertex AI intermittently sends a GET request to the /bar path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string health_route = 7 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	ByteString The bytes for healthRoute to set.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

setImageUri(String value)

public ModelContainerSpec.Builder setImageUri(String value)

Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the container publishing requirements, including permissions requirements for the Vertex AI Service Agent.

The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used.

To learn about the requirements for the Docker image itself, see Custom container requirements.

You can use the URI to one of Vertex AI's pre-built container images for prediction in this field.

string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	String The imageUri to set.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

setImageUriBytes(ByteString value)

public ModelContainerSpec.Builder setImageUriBytes(ByteString value)

Required. Immutable. URI of the Docker image to be used as the custom container for serving predictions. This URI must identify an image in Artifact Registry or Container Registry. Learn more about the container publishing requirements, including permissions requirements for the Vertex AI Service Agent.

The container image is ingested upon ModelService.UploadModel, stored internally, and this original path is afterwards not used.

To learn about the requirements for the Docker image itself, see Custom container requirements.

You can use the URI to one of Vertex AI's pre-built container images for prediction in this field.

string image_uri = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	ByteString The bytes for imageUri to set.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

setPorts(int index, Port value)

public ModelContainerSpec.Builder setPorts(int index, Port value)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
value	Port

Returns
Type	Description
ModelContainerSpec.Builder

setPorts(int index, Port.Builder builderForValue)

public ModelContainerSpec.Builder setPorts(int index, Port.Builder builderForValue)

Immutable. List of ports to expose from the container. Vertex AI sends any prediction requests that it receives to the first port on this list. Vertex AI also sends liveness and health checks to this port.

If you do not specify this field, it defaults to following value:

`json [ { "containerPort": 8080 } ]

Vertex AI does not use ports other than the first one listed. This field corresponds to the ports` field of the Kubernetes Containers v1 core API.

repeated .google.cloud.aiplatform.v1.Port ports = 5 [(.google.api.field_behavior) = IMMUTABLE];

Parameters
Name	Description
index	int
builderForValue	Port.Builder

Returns
Type	Description
ModelContainerSpec.Builder

setPredictRoute(String value)

public ModelContainerSpec.Builder setPredictRoute(String value)

Immutable. HTTP path on the container to send prediction requests to. Vertex AI forwards requests sent using projects.locations.endpoints.predict to this path on the container's IP address and port. Vertex AI then returns the container's response in the API response.

For example, if you set this field to /foo, then when Vertex AI receives a prediction request, it forwards the request body in a POST request to the /foo path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	String The predictRoute to set.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

setPredictRouteBytes(ByteString value)

public ModelContainerSpec.Builder setPredictRouteBytes(ByteString value)

Immutable. HTTP path on the container to send prediction requests to. Vertex AI forwards requests sent using projects.locations.endpoints.predict to this path on the container's IP address and port. Vertex AI then returns the container's response in the API response.

For example, if you set this field to /foo, then when Vertex AI receives a prediction request, it forwards the request body in a POST request to the /foo path on the port of your container specified by the first value of this ModelContainerSpec's ports field.

If you don't specify this field, it defaults to the following value when you deploy this Model to an Endpoint: <code>/v1/endpoints/<var>ENDPOINT</var>/deployedModels/<var>DEPLOYED_MODEL</var>:predict</code> The placeholders in this value are replaced as follows:

• <var>ENDPOINT</var>: The last segment (following endpoints/)of the Endpoint.name][] field of the Endpoint where this Model has been deployed. (Vertex AI makes this value available to your container code as the AIP_ENDPOINT_ID environment variable.)

• <var>DEPLOYED_MODEL</var>: DeployedModel.id of the DeployedModel. (Vertex AI makes this value available to your container code as the AIP_DEPLOYED_MODEL_ID environment variable.)

string predict_route = 6 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	ByteString The bytes for predictRoute to set.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ModelContainerSpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setSharedMemorySizeMb(long value)

public ModelContainerSpec.Builder setSharedMemorySizeMb(long value)

Immutable. The amount of the VM memory to reserve as the shared memory for the model in megabytes.

int64 shared_memory_size_mb = 11 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	long The sharedMemorySizeMb to set.

Returns
Type	Description
ModelContainerSpec.Builder	This builder for chaining.

setStartupProbe(Probe value)

public ModelContainerSpec.Builder setStartupProbe(Probe value)

Immutable. Specification for Kubernetes startup probe.

.google.cloud.aiplatform.v1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
value	Probe

Returns
Type	Description
ModelContainerSpec.Builder

setStartupProbe(Probe.Builder builderForValue)

public ModelContainerSpec.Builder setStartupProbe(Probe.Builder builderForValue)

Immutable. Specification for Kubernetes startup probe.

.google.cloud.aiplatform.v1.Probe startup_probe = 12 [(.google.api.field_behavior) = IMMUTABLE];

Parameter
Name	Description
builderForValue	Probe.Builder

Returns
Type	Description
ModelContainerSpec.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelContainerSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelContainerSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)