oci.DataScience.getModelDeployments

func GetModelDeployments(ctx *Context, args *GetModelDeploymentsArgs, opts ...InvokeOption) (*GetModelDeploymentsResult, error)
func GetModelDeploymentsOutput(ctx *Context, args *GetModelDeploymentsOutputArgs, opts ...InvokeOption) GetModelDeploymentsResultOutput

> Note: This function is named GetModelDeployments in the Go SDK.

CompartmentId string

Filter results by the OCID of the compartment.

CreatedBy string

Filter results by the OCID of the user who created the resource.

DisplayName string

Filter results by its user-friendly name.

Filters List<GetModelDeploymentsFilter>

Id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

ProjectId string

Filter results by the OCID of the project.

State string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

CompartmentId string

Filter results by the OCID of the compartment.

CreatedBy string

Filter results by the OCID of the user who created the resource.

DisplayName string

Filter results by its user-friendly name.

Filters []GetModelDeploymentsFilter

Id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

ProjectId string

Filter results by the OCID of the project.

State string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartment_id string

Filter results by the OCID of the compartment.

created_by string

Filter results by the OCID of the user who created the resource.

display_name string

Filter results by its user-friendly name.

filters list(object)

id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

project_id string

Filter results by the OCID of the project.

state string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartmentId String

Filter results by the OCID of the compartment.

createdBy String

Filter results by the OCID of the user who created the resource.

displayName String

Filter results by its user-friendly name.

filters List<GetModelDeploymentsFilter>

id String

Filter results by OCID. Must be an OCID of the correct type for the resource type.

projectId String

Filter results by the OCID of the project.

state String

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartmentId string

Filter results by the OCID of the compartment.

createdBy string

Filter results by the OCID of the user who created the resource.

displayName string

Filter results by its user-friendly name.

filters GetModelDeploymentsFilter[]

id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

projectId string

Filter results by the OCID of the project.

state string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartment_id str

Filter results by the OCID of the compartment.

created_by str

Filter results by the OCID of the user who created the resource.

display_name str

Filter results by its user-friendly name.

filters Sequence[GetModelDeploymentsFilter]

id str

Filter results by OCID. Must be an OCID of the correct type for the resource type.

project_id str

Filter results by the OCID of the project.

state str

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

compartmentId String

Filter results by the OCID of the compartment.

createdBy String

Filter results by the OCID of the user who created the resource.

displayName String

Filter results by its user-friendly name.

filters List<Property Map>

id String

Filter results by OCID. Must be an OCID of the correct type for the resource type.

projectId String

Filter results by the OCID of the project.

state String

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

CompartmentId string

The OCID of the model deployment's compartment.

ModelDeployments List<GetModelDeploymentsModelDeployment>

The list of model_deployments.

CreatedBy string

The OCID of the user who created the model deployment.

DisplayName string

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

Filters List<GetModelDeploymentsFilter>

Id string

The OCID of the model deployment.

ProjectId string

The OCID of the project associated with the model deployment.

State string

The state of the model deployment.

CompartmentId string

The OCID of the model deployment's compartment.

ModelDeployments []GetModelDeploymentsModelDeployment

The list of model_deployments.

CreatedBy string

The OCID of the user who created the model deployment.

DisplayName string

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

Filters []GetModelDeploymentsFilter

Id string

The OCID of the model deployment.

ProjectId string

The OCID of the project associated with the model deployment.

State string

The state of the model deployment.

compartment_id string

The OCID of the model deployment's compartment.

model_deployments list(object)

The list of model_deployments.

created_by string

The OCID of the user who created the model deployment.

display_name string

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

filters list(object)

id string

The OCID of the model deployment.

project_id string

The OCID of the project associated with the model deployment.

state string

The state of the model deployment.

compartmentId String

The OCID of the model deployment's compartment.

modelDeployments List<GetModelDeploymentsModelDeployment>

The list of model_deployments.

createdBy String

The OCID of the user who created the model deployment.

displayName String

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

filters List<GetModelDeploymentsFilter>

id String

The OCID of the model deployment.

projectId String

The OCID of the project associated with the model deployment.

state String

The state of the model deployment.

compartmentId string

The OCID of the model deployment's compartment.

modelDeployments GetModelDeploymentsModelDeployment[]

The list of model_deployments.

createdBy string

The OCID of the user who created the model deployment.

displayName string

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

filters GetModelDeploymentsFilter[]

id string

The OCID of the model deployment.

projectId string

The OCID of the project associated with the model deployment.

state string

The state of the model deployment.

compartment_id str

The OCID of the model deployment's compartment.

model_deployments Sequence[GetModelDeploymentsModelDeployment]

The list of model_deployments.

created_by str

The OCID of the user who created the model deployment.

display_name str

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

filters Sequence[GetModelDeploymentsFilter]

id str

The OCID of the model deployment.

project_id str

The OCID of the project associated with the model deployment.

state str

The state of the model deployment.

compartmentId String

The OCID of the model deployment's compartment.

modelDeployments List<Property Map>

The list of model_deployments.

createdBy String

The OCID of the user who created the model deployment.

displayName String

A user-friendly display name for the resource. Does not have to be unique, and can be modified. Avoid entering confidential information. Example: My ModelDeployment

filters List<Property Map>

id String

The OCID of the model deployment.

projectId String

The OCID of the project associated with the model deployment.

state String

The state of the model deployment.

Name string

Values List<string>

Regex bool

Name string

Values []string

Regex bool

name string

values list(string)

regex bool

name String

values List<String>

regex Boolean

name string

values string[]

regex boolean

name str

values Sequence[str]

regex bool

name String

values List<String>

regex Boolean

CategoryLogDetails List<GetModelDeploymentsModelDeploymentCategoryLogDetail>

The log details for each category.

CompartmentId string

Filter results by the OCID of the compartment.

CreatedBy string

Filter results by the OCID of the user who created the resource.

DefinedTags Dictionary<string, string>

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

Description string

A short description of the model deployment.

DisplayName string

Filter results by its user-friendly name.

FreeformTags Dictionary<string, string>

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

Id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

LifecycleDetails string

Details about the state of the model deployment.

ModelDeploymentConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetail>

The model deployment configuration details.

ModelDeploymentSystemDatas List<GetModelDeploymentsModelDeploymentModelDeploymentSystemData>

Model deployment system data.

ModelDeploymentUrl string

The URL to interact with the model deployment.

OpcParentRptUrl string

ProjectId string

Filter results by the OCID of the project.

State string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

TimeCreated string

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

CategoryLogDetails []GetModelDeploymentsModelDeploymentCategoryLogDetail

The log details for each category.

CompartmentId string

Filter results by the OCID of the compartment.

CreatedBy string

Filter results by the OCID of the user who created the resource.

DefinedTags map[string]string

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

Description string

A short description of the model deployment.

DisplayName string

Filter results by its user-friendly name.

FreeformTags map[string]string

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

Id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

LifecycleDetails string

Details about the state of the model deployment.

ModelDeploymentConfigurationDetails []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetail

The model deployment configuration details.

ModelDeploymentSystemDatas []GetModelDeploymentsModelDeploymentModelDeploymentSystemData

Model deployment system data.

ModelDeploymentUrl string

The URL to interact with the model deployment.

OpcParentRptUrl string

ProjectId string

Filter results by the OCID of the project.

State string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

TimeCreated string

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

category_log_details list(object)

The log details for each category.

compartment_id string

Filter results by the OCID of the compartment.

created_by string

Filter results by the OCID of the user who created the resource.

defined_tags map(string)

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description string

A short description of the model deployment.

display_name string

Filter results by its user-friendly name.

freeform_tags map(string)

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycle_details string

Details about the state of the model deployment.

model_deployment_configuration_details list(object)

The model deployment configuration details.

model_deployment_system_datas list(object)

Model deployment system data.

model_deployment_url string

The URL to interact with the model deployment.

opc_parent_rpt_url string

project_id string

Filter results by the OCID of the project.

state string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

time_created string

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

categoryLogDetails List<GetModelDeploymentsModelDeploymentCategoryLogDetail>

The log details for each category.

compartmentId String

Filter results by the OCID of the compartment.

createdBy String

Filter results by the OCID of the user who created the resource.

definedTags Map<String,String>

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description String

A short description of the model deployment.

displayName String

Filter results by its user-friendly name.

freeformTags Map<String,String>

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

id String

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycleDetails String

Details about the state of the model deployment.

modelDeploymentConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetail>

The model deployment configuration details.

modelDeploymentSystemDatas List<GetModelDeploymentsModelDeploymentModelDeploymentSystemData>

Model deployment system data.

modelDeploymentUrl String

The URL to interact with the model deployment.

opcParentRptUrl String

projectId String

Filter results by the OCID of the project.

state String

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

timeCreated String

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

categoryLogDetails GetModelDeploymentsModelDeploymentCategoryLogDetail[]

The log details for each category.

compartmentId string

Filter results by the OCID of the compartment.

createdBy string

Filter results by the OCID of the user who created the resource.

definedTags {[key: string]: string}

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description string

A short description of the model deployment.

displayName string

Filter results by its user-friendly name.

freeformTags {[key: string]: string}

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

id string

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycleDetails string

Details about the state of the model deployment.

modelDeploymentConfigurationDetails GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetail[]

The model deployment configuration details.

modelDeploymentSystemDatas GetModelDeploymentsModelDeploymentModelDeploymentSystemData[]

Model deployment system data.

modelDeploymentUrl string

The URL to interact with the model deployment.

opcParentRptUrl string

projectId string

Filter results by the OCID of the project.

state string

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

timeCreated string

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

category_log_details Sequence[GetModelDeploymentsModelDeploymentCategoryLogDetail]

The log details for each category.

compartment_id str

Filter results by the OCID of the compartment.

created_by str

Filter results by the OCID of the user who created the resource.

defined_tags Mapping[str, str]

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description str

A short description of the model deployment.

display_name str

Filter results by its user-friendly name.

freeform_tags Mapping[str, str]

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

id str

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycle_details str

Details about the state of the model deployment.

model_deployment_configuration_details Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetail]

The model deployment configuration details.

model_deployment_system_datas Sequence[GetModelDeploymentsModelDeploymentModelDeploymentSystemData]

Model deployment system data.

model_deployment_url str

The URL to interact with the model deployment.

opc_parent_rpt_url str

project_id str

Filter results by the OCID of the project.

state str

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

time_created str

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

categoryLogDetails List<Property Map>

The log details for each category.

compartmentId String

Filter results by the OCID of the compartment.

createdBy String

Filter results by the OCID of the user who created the resource.

definedTags Map<String>

Defined tags for this resource. Each key is predefined and scoped to a namespace. See Resource Tags. Example: {"Operations.CostCenter": "42"}

description String

A short description of the model deployment.

displayName String

Filter results by its user-friendly name.

freeformTags Map<String>

Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. See Resource Tags. Example: {"Department": "Finance"}

id String

Filter results by OCID. Must be an OCID of the correct type for the resource type.

lifecycleDetails String

Details about the state of the model deployment.

modelDeploymentConfigurationDetails List<Property Map>

The model deployment configuration details.

modelDeploymentSystemDatas List<Property Map>

Model deployment system data.

modelDeploymentUrl String

The URL to interact with the model deployment.

opcParentRptUrl String

projectId String

Filter results by the OCID of the project.

state String

Filter results by the specified lifecycle state. Must be a valid state for the resource type.

timeCreated String

The date and time the resource was created, in the timestamp format defined by RFC3339. Example: 2019-08-25T21:10:29.41Z

Accesses List<GetModelDeploymentsModelDeploymentCategoryLogDetailAccess>

The log details.

Predicts List<GetModelDeploymentsModelDeploymentCategoryLogDetailPredict>

The log details.

Accesses []GetModelDeploymentsModelDeploymentCategoryLogDetailAccess

The log details.

Predicts []GetModelDeploymentsModelDeploymentCategoryLogDetailPredict

The log details.

accesses list(object)

The log details.

predicts list(object)

The log details.

accesses List<GetModelDeploymentsModelDeploymentCategoryLogDetailAccess>

The log details.

predicts List<GetModelDeploymentsModelDeploymentCategoryLogDetailPredict>

The log details.

accesses GetModelDeploymentsModelDeploymentCategoryLogDetailAccess[]

The log details.

predicts GetModelDeploymentsModelDeploymentCategoryLogDetailPredict[]

The log details.

accesses Sequence[GetModelDeploymentsModelDeploymentCategoryLogDetailAccess]

The log details.

predicts Sequence[GetModelDeploymentsModelDeploymentCategoryLogDetailPredict]

The log details.

accesses List<Property Map>

The log details.

predicts List<Property Map>

The log details.

LogGroupId string

The OCID of a log group to work with.

LogId string

The OCID of a log to work with.

LogGroupId string

The OCID of a log group to work with.

LogId string

The OCID of a log to work with.

log_group_id string

The OCID of a log group to work with.

log_id string

The OCID of a log to work with.

logGroupId String

The OCID of a log group to work with.

logId String

The OCID of a log to work with.

logGroupId string

The OCID of a log group to work with.

logId string

The OCID of a log to work with.

log_group_id str

The OCID of a log group to work with.

log_id str

The OCID of a log to work with.

logGroupId String

The OCID of a log group to work with.

logId String

The OCID of a log to work with.

LogGroupId string

The OCID of a log group to work with.

LogId string

The OCID of a log to work with.

LogGroupId string

The OCID of a log group to work with.

LogId string

The OCID of a log to work with.

log_group_id string

The OCID of a log group to work with.

log_id string

The OCID of a log to work with.

logGroupId String

The OCID of a log group to work with.

logId String

The OCID of a log to work with.

logGroupId string

The OCID of a log group to work with.

logId string

The OCID of a log to work with.

log_group_id str

The OCID of a log group to work with.

log_id str

The OCID of a log to work with.

logGroupId String

The OCID of a log group to work with.

logId String

The OCID of a log to work with.

DeploymentType string

The type of the model deployment.

EnvironmentConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail>

The configuration to carry the environment details thats used in Model Deployment creation

InfrastructureConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetail>

The infrastructure configuration details.

ModelConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail>

The model configuration details.

ModelGroupConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelGroupConfigurationDetail>

The model group configuration details.

DeploymentType string

The type of the model deployment.

EnvironmentConfigurationDetails []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail

The configuration to carry the environment details thats used in Model Deployment creation

InfrastructureConfigurationDetails []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetail

The infrastructure configuration details.

ModelConfigurationDetails []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail

The model configuration details.

ModelGroupConfigurationDetails []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelGroupConfigurationDetail

The model group configuration details.

deployment_type string

The type of the model deployment.

environment_configuration_details list(object)

The configuration to carry the environment details thats used in Model Deployment creation

infrastructure_configuration_details list(object)

The infrastructure configuration details.

model_configuration_details list(object)

The model configuration details.

model_group_configuration_details list(object)

The model group configuration details.

deploymentType String

The type of the model deployment.

environmentConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail>

The configuration to carry the environment details thats used in Model Deployment creation

infrastructureConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetail>

The infrastructure configuration details.

modelConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail>

The model configuration details.

modelGroupConfigurationDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelGroupConfigurationDetail>

The model group configuration details.

deploymentType string

The type of the model deployment.

environmentConfigurationDetails GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail[]

The configuration to carry the environment details thats used in Model Deployment creation

infrastructureConfigurationDetails GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetail[]

The infrastructure configuration details.

modelConfigurationDetails GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail[]

The model configuration details.

modelGroupConfigurationDetails GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelGroupConfigurationDetail[]

The model group configuration details.

deployment_type str

The type of the model deployment.

environment_configuration_details Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetail]

The configuration to carry the environment details thats used in Model Deployment creation

infrastructure_configuration_details Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetail]

The infrastructure configuration details.

model_configuration_details Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelConfigurationDetail]

The model configuration details.

model_group_configuration_details Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailModelGroupConfigurationDetail]

The model group configuration details.

deploymentType String

The type of the model deployment.

environmentConfigurationDetails List<Property Map>

The configuration to carry the environment details thats used in Model Deployment creation

infrastructureConfigurationDetails List<Property Map>

The infrastructure configuration details.

modelConfigurationDetails List<Property Map>

The model configuration details.

modelGroupConfigurationDetails List<Property Map>

The model group configuration details.

Cmds List<string>

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

CustomHttpEndpoints List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetailCustomHttpEndpoint>

List of custom inference HTTP endpoints configured on the model deployment instance for inferencing.

DefaultEnvironmentVariables Dictionary<string, string>

Service injected Environment variables set for the web server container and can not be set or modified by user.

Entrypoints List<string>

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

EnvironmentConfigurationType string

The environment configuration type

EnvironmentVariables Dictionary<string, string>

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

HealthCheckPort int

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

Image string

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. The container image is optional while using service managed open source foundation model. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

ImageDigest string

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

ImageSignatureId string

OCID of the container image signature

PredictApiSpecification string

The chosen specification from predefined set of endpoints a user can access. For example, if the value is 'openai', the user can access OpenAI-compliant endpoints like /v1/completions, /v1/chat/completions, /v1/models, etc., for inference.

ServerPort int

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

Cmds []string

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

CustomHttpEndpoints []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetailCustomHttpEndpoint

List of custom inference HTTP endpoints configured on the model deployment instance for inferencing.

DefaultEnvironmentVariables map[string]string

Service injected Environment variables set for the web server container and can not be set or modified by user.

Entrypoints []string

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

EnvironmentConfigurationType string

The environment configuration type

EnvironmentVariables map[string]string

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

HealthCheckPort int

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

Image string

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. The container image is optional while using service managed open source foundation model. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

ImageDigest string

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

ImageSignatureId string

OCID of the container image signature

PredictApiSpecification string

The chosen specification from predefined set of endpoints a user can access. For example, if the value is 'openai', the user can access OpenAI-compliant endpoints like /v1/completions, /v1/chat/completions, /v1/models, etc., for inference.

ServerPort int

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

cmds list(string)

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

custom_http_endpoints list(object)

List of custom inference HTTP endpoints configured on the model deployment instance for inferencing.

default_environment_variables map(string)

Service injected Environment variables set for the web server container and can not be set or modified by user.

entrypoints list(string)

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

environment_configuration_type string

The environment configuration type

environment_variables map(string)

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

health_check_port number

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

image string

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. The container image is optional while using service managed open source foundation model. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

image_digest string

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

image_signature_id string

OCID of the container image signature

predict_api_specification string

The chosen specification from predefined set of endpoints a user can access. For example, if the value is 'openai', the user can access OpenAI-compliant endpoints like /v1/completions, /v1/chat/completions, /v1/models, etc., for inference.

server_port number

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

cmds List<String>

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

customHttpEndpoints List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetailCustomHttpEndpoint>

List of custom inference HTTP endpoints configured on the model deployment instance for inferencing.

defaultEnvironmentVariables Map<String,String>

Service injected Environment variables set for the web server container and can not be set or modified by user.

entrypoints List<String>

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

environmentConfigurationType String

The environment configuration type

environmentVariables Map<String,String>

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

healthCheckPort Integer

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

image String

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. The container image is optional while using service managed open source foundation model. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

imageDigest String

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

imageSignatureId String

OCID of the container image signature

predictApiSpecification String

The chosen specification from predefined set of endpoints a user can access. For example, if the value is 'openai', the user can access OpenAI-compliant endpoints like /v1/completions, /v1/chat/completions, /v1/models, etc., for inference.

serverPort Integer

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

cmds string[]

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

customHttpEndpoints GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetailCustomHttpEndpoint[]

List of custom inference HTTP endpoints configured on the model deployment instance for inferencing.

defaultEnvironmentVariables {[key: string]: string}

Service injected Environment variables set for the web server container and can not be set or modified by user.

entrypoints string[]

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

environmentConfigurationType string

The environment configuration type

environmentVariables {[key: string]: string}

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

healthCheckPort number

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

image string

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. The container image is optional while using service managed open source foundation model. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

imageDigest string

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

imageSignatureId string

OCID of the container image signature

predictApiSpecification string

The chosen specification from predefined set of endpoints a user can access. For example, if the value is 'openai', the user can access OpenAI-compliant endpoints like /v1/completions, /v1/chat/completions, /v1/models, etc., for inference.

serverPort number

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

cmds Sequence[str]

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

custom_http_endpoints Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailEnvironmentConfigurationDetailCustomHttpEndpoint]

List of custom inference HTTP endpoints configured on the model deployment instance for inferencing.

default_environment_variables Mapping[str, str]

Service injected Environment variables set for the web server container and can not be set or modified by user.

entrypoints Sequence[str]

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

environment_configuration_type str

The environment configuration type

environment_variables Mapping[str, str]

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

health_check_port int

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

image str

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. The container image is optional while using service managed open source foundation model. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

image_digest str

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

image_signature_id str

OCID of the container image signature

predict_api_specification str

The chosen specification from predefined set of endpoints a user can access. For example, if the value is 'openai', the user can access OpenAI-compliant endpoints like /v1/completions, /v1/chat/completions, /v1/models, etc., for inference.

server_port int

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

cmds List<String>

The container image run CMD as a list of strings. Use CMD as arguments to the ENTRYPOINT or the only command to run in the absence of an ENTRYPOINT. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes.

customHttpEndpoints List<Property Map>

List of custom inference HTTP endpoints configured on the model deployment instance for inferencing.

defaultEnvironmentVariables Map<String>

Service injected Environment variables set for the web server container and can not be set or modified by user.

entrypoints List<String>

The container image run ENTRYPOINT as a list of strings. Accept the CMD as extra arguments. The combined size of CMD and ENTRYPOINT must be less than 2048 bytes. More information on how CMD and ENTRYPOINT interact are here.

environmentConfigurationType String

The environment configuration type

environmentVariables Map<String>

Environment variables to set for the web server container. The size of envVars must be less than 2048 bytes. Key should be under 32 characters. Key should contain only letters, digits and underscore (_) Key should start with a letter. Key should have at least 2 characters. Key should not end with underscore eg. TEST_ Key if added cannot be empty. Value can be empty. No specific size limits on individual Values. But overall environment variables is limited to 2048 bytes. Key can't be reserved Model Deployment environment variables.

healthCheckPort Number

The port on which the container HEALTHCHECK would listen. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

image String

The full path to the Oracle Container Repository (OCIR) registry, image, and tag in a canonical format. The container image is optional while using service managed open source foundation model. Acceptable format: <region>.ocir.io/<registry>/<image>:<tag> <region>.ocir.io/<registry>/<image>:<tag>@digest

imageDigest String

The digest of the container image. For example, sha256:881303a6b2738834d795a32b4a98eb0e5e3d1cad590a712d1e04f9b2fa90a030

imageSignatureId String

OCID of the container image signature

predictApiSpecification String

The chosen specification from predefined set of endpoints a user can access. For example, if the value is 'openai', the user can access OpenAI-compliant endpoints like /v1/completions, /v1/chat/completions, /v1/models, etc., for inference.

serverPort Number

The port on which the web server serving the inference is running. The port can be anything between 1024 and 65535. The following ports cannot be used 24224, 8446, 8447.

EndpointUriSuffix string

The suffix part of the endpoint that will be allowed for invocation.

HttpMethods List<string>

List of HTTP methods acceptable by the URI.

EndpointUriSuffix string

The suffix part of the endpoint that will be allowed for invocation.

HttpMethods []string

List of HTTP methods acceptable by the URI.

endpoint_uri_suffix string

The suffix part of the endpoint that will be allowed for invocation.

http_methods list(string)

List of HTTP methods acceptable by the URI.

endpointUriSuffix String

The suffix part of the endpoint that will be allowed for invocation.

httpMethods List<String>

List of HTTP methods acceptable by the URI.

endpointUriSuffix string

The suffix part of the endpoint that will be allowed for invocation.

httpMethods string[]

List of HTTP methods acceptable by the URI.

endpoint_uri_suffix str

The suffix part of the endpoint that will be allowed for invocation.

http_methods Sequence[str]

List of HTTP methods acceptable by the URI.

endpointUriSuffix String

The suffix part of the endpoint that will be allowed for invocation.

httpMethods List<String>

List of HTTP methods acceptable by the URI.

BandwidthMbps int

The minimum network bandwidth for the model deployment.

ComputeTargetId string

InfrastructureType string

The type of the model deployment infrastructure.

InstanceConfigurations List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfiguration>

The model deployment instance configuration.

MaximumBandwidthMbps int

The maximum network bandwidth for the model deployment.

ModelDeploymentResourceConfigurations List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfiguration>

ScalingPolicies List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicy>

The scaling policy to apply to each model of the deployment.

BandwidthMbps int

The minimum network bandwidth for the model deployment.

ComputeTargetId string

InfrastructureType string

The type of the model deployment infrastructure.

InstanceConfigurations []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfiguration

The model deployment instance configuration.

MaximumBandwidthMbps int

The maximum network bandwidth for the model deployment.

ModelDeploymentResourceConfigurations []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfiguration

ScalingPolicies []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicy

The scaling policy to apply to each model of the deployment.

bandwidth_mbps number

The minimum network bandwidth for the model deployment.

compute_target_id string

infrastructure_type string

The type of the model deployment infrastructure.

instance_configurations list(object)

The model deployment instance configuration.

maximum_bandwidth_mbps number

The maximum network bandwidth for the model deployment.

model_deployment_resource_configurations list(object)

scaling_policies list(object)

The scaling policy to apply to each model of the deployment.

bandwidthMbps Integer

The minimum network bandwidth for the model deployment.

computeTargetId String

infrastructureType String

The type of the model deployment infrastructure.

instanceConfigurations List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfiguration>

The model deployment instance configuration.

maximumBandwidthMbps Integer

The maximum network bandwidth for the model deployment.

modelDeploymentResourceConfigurations List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfiguration>

scalingPolicies List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicy>

The scaling policy to apply to each model of the deployment.

bandwidthMbps number

The minimum network bandwidth for the model deployment.

computeTargetId string

infrastructureType string

The type of the model deployment infrastructure.

instanceConfigurations GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfiguration[]

The model deployment instance configuration.

maximumBandwidthMbps number

The maximum network bandwidth for the model deployment.

modelDeploymentResourceConfigurations GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfiguration[]

scalingPolicies GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicy[]

The scaling policy to apply to each model of the deployment.

bandwidth_mbps int

The minimum network bandwidth for the model deployment.

compute_target_id str

infrastructure_type str

The type of the model deployment infrastructure.

instance_configurations Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfiguration]

The model deployment instance configuration.

maximum_bandwidth_mbps int

The maximum network bandwidth for the model deployment.

model_deployment_resource_configurations Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfiguration]

scaling_policies Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicy]

The scaling policy to apply to each model of the deployment.

bandwidthMbps Number

The minimum network bandwidth for the model deployment.

computeTargetId String

infrastructureType String

The type of the model deployment infrastructure.

instanceConfigurations List<Property Map>

The model deployment instance configuration.

maximumBandwidthMbps Number

The maximum network bandwidth for the model deployment.

modelDeploymentResourceConfigurations List<Property Map>

scalingPolicies List<Property Map>

The scaling policy to apply to each model of the deployment.

InstanceShapeName string

The shape used to launch the model deployment instances. When using service managed open source foundation model, the supported shapes can be retrieved using get model api /models/{modelId}/definedMetadata/deploymentConfiguration/artifact/content.

ModelDeploymentInstanceShapeConfigDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail>

Details for the model-deployment instance shape configuration.

NetworkAccessType string

Network Access type of model deployment.

PrivateEndpointId string

The OCID of a Data Science private endpoint.

SubnetId string

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

InstanceShapeName string

The shape used to launch the model deployment instances. When using service managed open source foundation model, the supported shapes can be retrieved using get model api /models/{modelId}/definedMetadata/deploymentConfiguration/artifact/content.

ModelDeploymentInstanceShapeConfigDetails []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail

Details for the model-deployment instance shape configuration.

NetworkAccessType string

Network Access type of model deployment.

PrivateEndpointId string

The OCID of a Data Science private endpoint.

SubnetId string

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

instance_shape_name string

The shape used to launch the model deployment instances. When using service managed open source foundation model, the supported shapes can be retrieved using get model api /models/{modelId}/definedMetadata/deploymentConfiguration/artifact/content.

model_deployment_instance_shape_config_details list(object)

Details for the model-deployment instance shape configuration.

network_access_type string

Network Access type of model deployment.

private_endpoint_id string

The OCID of a Data Science private endpoint.

subnet_id string

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

instanceShapeName String

The shape used to launch the model deployment instances. When using service managed open source foundation model, the supported shapes can be retrieved using get model api /models/{modelId}/definedMetadata/deploymentConfiguration/artifact/content.

modelDeploymentInstanceShapeConfigDetails List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail>

Details for the model-deployment instance shape configuration.

networkAccessType String

Network Access type of model deployment.

privateEndpointId String

The OCID of a Data Science private endpoint.

subnetId String

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

instanceShapeName string

The shape used to launch the model deployment instances. When using service managed open source foundation model, the supported shapes can be retrieved using get model api /models/{modelId}/definedMetadata/deploymentConfiguration/artifact/content.

modelDeploymentInstanceShapeConfigDetails GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail[]

Details for the model-deployment instance shape configuration.

networkAccessType string

Network Access type of model deployment.

privateEndpointId string

The OCID of a Data Science private endpoint.

subnetId string

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

instance_shape_name str

The shape used to launch the model deployment instances. When using service managed open source foundation model, the supported shapes can be retrieved using get model api /models/{modelId}/definedMetadata/deploymentConfiguration/artifact/content.

model_deployment_instance_shape_config_details Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailInstanceConfigurationModelDeploymentInstanceShapeConfigDetail]

Details for the model-deployment instance shape configuration.

network_access_type str

Network Access type of model deployment.

private_endpoint_id str

The OCID of a Data Science private endpoint.

subnet_id str

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

instanceShapeName String

The shape used to launch the model deployment instances. When using service managed open source foundation model, the supported shapes can be retrieved using get model api /models/{modelId}/definedMetadata/deploymentConfiguration/artifact/content.

modelDeploymentInstanceShapeConfigDetails List<Property Map>

Details for the model-deployment instance shape configuration.

networkAccessType String

Network Access type of model deployment.

privateEndpointId String

The OCID of a Data Science private endpoint.

subnetId String

A model deployment instance is provided with a VNIC for network access. This specifies the OCID of the subnet to create a VNIC in. The subnet should be in a VCN with a NAT/SGW gateway for egress.

CpuBaseline string

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

MemoryInGbs double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

Ocpus double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

CpuBaseline string

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

MemoryInGbs float64

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

Ocpus float64

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

cpu_baseline string

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

memory_in_gbs number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

cpuBaseline String

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

memoryInGbs Double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus Double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

cpuBaseline string

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

memoryInGbs number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

cpu_baseline str

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

memory_in_gbs float

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus float

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

cpuBaseline String

The baseline OCPU utilization for a subcore burstable VM instance. If this attribute is left blank, it will default to BASELINE_1_1. The following values are supported: BASELINE_1_8 - baseline usage is 1/8 of an OCPU. BASELINE_1_2 - baseline usage is 1/2 of an OCPU. BASELINE_1_1 - baseline usage is an entire OCPU. This represents a non-burstable instance.

memoryInGbs Number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus Number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

ResourceLimitConfigurations List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceLimitConfiguration>

ResourceRequestConfigurations List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceRequestConfiguration>

ResourceLimitConfigurations []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceLimitConfiguration

ResourceRequestConfigurations []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceRequestConfiguration

resource_limit_configurations list(object)

resource_request_configurations list(object)

resourceLimitConfigurations List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceLimitConfiguration>

resourceRequestConfigurations List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceRequestConfiguration>

resourceLimitConfigurations GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceLimitConfiguration[]

resourceRequestConfigurations GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceRequestConfiguration[]

resource_limit_configurations Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceLimitConfiguration]

resource_request_configurations Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailModelDeploymentResourceConfigurationResourceRequestConfiguration]

resourceLimitConfigurations List<Property Map>

resourceRequestConfigurations List<Property Map>

MemoryInGbs double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

Ocpus double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

MemoryInGbs float64

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

Ocpus float64

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

memory_in_gbs number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

memoryInGbs Double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus Double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

memoryInGbs number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

memory_in_gbs float

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus float

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

memoryInGbs Number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus Number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

Gpus int

MemoryInGbs double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

Ocpus double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

Gpus int

MemoryInGbs float64

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

Ocpus float64

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

gpus number

memory_in_gbs number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

gpus Integer

memoryInGbs Double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus Double

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

gpus number

memoryInGbs number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

gpus int

memory_in_gbs float

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus float

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

gpus Number

memoryInGbs Number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the memory to be specified with in the range of 6 to 1024 GB. VM.Standard3.Flex memory range is between 6 to 512 GB and VM.Optimized3.Flex memory range is between 6 to 256 GB.

ocpus Number

A model-deployment instance of type VM.Standard.E3.Flex or VM.Standard.E4.Flex allows the ocpu count to be specified with in the range of 1 to 64 ocpu. VM.Standard3.Flex OCPU range is between 1 to 32 ocpu and for VM.Optimized3.Flex OCPU range is 1 to 18 ocpu.

AutoScalingPolicies List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicyAutoScalingPolicy>

The list of autoscaling policy details.

CoolDownInSeconds int

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

InstanceCount int

The number of instances for the model deployment.

IsEnabled bool

Whether the autoscaling policy is enabled.

PolicyType string

The type of scaling policy.

AutoScalingPolicies []GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicyAutoScalingPolicy

The list of autoscaling policy details.

CoolDownInSeconds int

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

InstanceCount int

The number of instances for the model deployment.

IsEnabled bool

Whether the autoscaling policy is enabled.

PolicyType string

The type of scaling policy.

auto_scaling_policies list(object)

The list of autoscaling policy details.

cool_down_in_seconds number

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

instance_count number

The number of instances for the model deployment.

is_enabled bool

Whether the autoscaling policy is enabled.

policy_type string

The type of scaling policy.

autoScalingPolicies List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicyAutoScalingPolicy>

The list of autoscaling policy details.

coolDownInSeconds Integer

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

instanceCount Integer

The number of instances for the model deployment.

isEnabled Boolean

Whether the autoscaling policy is enabled.

policyType String

The type of scaling policy.

autoScalingPolicies GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicyAutoScalingPolicy[]

The list of autoscaling policy details.

coolDownInSeconds number

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

instanceCount number

The number of instances for the model deployment.

isEnabled boolean

Whether the autoscaling policy is enabled.

policyType string

The type of scaling policy.

auto_scaling_policies Sequence[GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicyAutoScalingPolicy]

The list of autoscaling policy details.

cool_down_in_seconds int

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

instance_count int

The number of instances for the model deployment.

is_enabled bool

Whether the autoscaling policy is enabled.

policy_type str

The type of scaling policy.

autoScalingPolicies List<Property Map>

The list of autoscaling policy details.

coolDownInSeconds Number

For threshold-based autoscaling policies, this value is the minimum period of time to wait between scaling actions. The cooldown period gives the system time to stabilize before rescaling. The minimum value is 300 seconds, which is also the default. The cooldown period starts when the model deployment becomes ACTIVE after the scaling operation.

instanceCount Number

The number of instances for the model deployment.

isEnabled Boolean

Whether the autoscaling policy is enabled.

policyType String

The type of scaling policy.

AutoScalingPolicyType string

The type of autoscaling policy.

InitialInstanceCount int

For a threshold-based autoscaling policy, this value is the initial number of instances to launch in the model deployment immediately after autoscaling is enabled. Note that anytime this value is updated, the number of instances will be reset to this value. After autoscaling retrieves performance metrics, the number of instances is automatically adjusted from this initial number to a number that is based on the limits that you set.

MaximumInstanceCount int

For a threshold-based autoscaling policy, this value is the maximum number of instances the model deployment is allowed to increase to (scale out).

MinimumInstanceCount int

For a threshold-based autoscaling policy, this value is the minimum number of instances the model deployment is allowed to decrease to (scale in).

Rules List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicyAutoScalingPolicyRule>

The list of autoscaling policy rules.

ScaleInPolicies List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicyAutoScalingPolicyScaleInPolicy>

ScaleOutPolicies List<GetModelDeploymentsModelDeploymentModelDeploymentConfigurationDetailInfrastructureConfigurationDetailScalingPolicyAutoScalingPolicyScaleOutPolicy>