Struct CreateModelInvocationJobInput

#[non_exhaustive]
pub struct CreateModelInvocationJobInput {
    pub job_name: Option<String>,
    pub role_arn: Option<String>,
    pub client_request_token: Option<String>,
    pub model_id: Option<String>,
    pub input_data_config: Option<ModelInvocationJobInputDataConfig>,
    pub output_data_config: Option<ModelInvocationJobOutputDataConfig>,
    pub vpc_config: Option<VpcConfig>,
    pub timeout_duration_in_hours: Option<i32>,
    pub tags: Option<Vec<Tag>>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

job_name: Option<String>

A name to give the batch inference job.

role_arn: Option<String>

The Amazon Resource Name (ARN) of the service role with permissions to carry out and manage batch inference. You can use the console to create a default service role or follow the steps at Create a service role for batch inference.

client_request_token: Option<String>

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

model_id: Option<String>

The unique identifier of the foundation model to use for the batch inference job.

input_data_config: Option<ModelInvocationJobInputDataConfig>

Details about the location of the input to the batch inference job.

output_data_config: Option<ModelInvocationJobOutputDataConfig>

Details about the location of the output of the batch inference job.

vpc_config: Option<VpcConfig>

The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see Protect batch inference jobs using a VPC.

timeout_duration_in_hours: Option<i32>

The number of hours after which to force the batch inference job to time out.

tags: Option<Vec<Tag>>

Any tags to associate with the batch inference job. For more information, see Tagging Amazon Bedrock resources.

Implementations

impl CreateModelInvocationJobInput

pub fn job_name(&self) -> Option<&str>

A name to give the batch inference job.

pub fn role_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the service role with permissions to carry out and manage batch inference. You can use the console to create a default service role or follow the steps at Create a service role for batch inference.

pub fn client_request_token(&self) -> Option<&str>

A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.

pub fn model_id(&self) -> Option<&str>

The unique identifier of the foundation model to use for the batch inference job.

pub fn input_data_config(&self) -> Option<&ModelInvocationJobInputDataConfig>

Details about the location of the input to the batch inference job.

pub fn output_data_config(&self) -> Option<&ModelInvocationJobOutputDataConfig>

Details about the location of the output of the batch inference job.

pub fn vpc_config(&self) -> Option<&VpcConfig>

The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see Protect batch inference jobs using a VPC.

pub fn timeout_duration_in_hours(&self) -> Option<i32>

The number of hours after which to force the batch inference job to time out.

pub fn tags(&self) -> &[Tag]

Any tags to associate with the batch inference job. For more information, see Tagging Amazon Bedrock resources.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .tags.is_none().

impl CreateModelInvocationJobInput

pub fn builder() -> CreateModelInvocationJobInputBuilder

Creates a new builder-style object to manufacture CreateModelInvocationJobInput.

Trait Implementations

impl Clone for CreateModelInvocationJobInput

fn clone(&self) -> CreateModelInvocationJobInput

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateModelInvocationJobInput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for CreateModelInvocationJobInput

fn eq(&self, other: &CreateModelInvocationJobInput) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for CreateModelInvocationJobInput