1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::create_model_invocation_job::_create_model_invocation_job_output::CreateModelInvocationJobOutputBuilder;
pub use crate::operation::create_model_invocation_job::_create_model_invocation_job_input::CreateModelInvocationJobInputBuilder;
impl crate::operation::create_model_invocation_job::builders::CreateModelInvocationJobInputBuilder {
/// Sends a request with this input using the given client.
pub async fn send_with(
self,
client: &crate::Client,
) -> ::std::result::Result<
crate::operation::create_model_invocation_job::CreateModelInvocationJobOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_model_invocation_job::CreateModelInvocationJobError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let mut fluent_builder = client.create_model_invocation_job();
fluent_builder.inner = self;
fluent_builder.send().await
}
}
/// Fluent builder constructing a request to `CreateModelInvocationJob`.
///
/// <p>Creates a batch inference job to invoke a model on multiple prompts. Format your data according to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/batch-inference-data">Format your inference data</a> and upload it to an Amazon S3 bucket. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/batch-inference.html">Process multiple prompts with batch inference</a>.</p>
/// <p>The response returns a <code>jobArn</code> that you can use to stop or get details about the job.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct CreateModelInvocationJobFluentBuilder {
handle: ::std::sync::Arc<crate::client::Handle>,
inner: crate::operation::create_model_invocation_job::builders::CreateModelInvocationJobInputBuilder,
config_override: ::std::option::Option<crate::config::Builder>,
}
impl
crate::client::customize::internal::CustomizableSend<
crate::operation::create_model_invocation_job::CreateModelInvocationJobOutput,
crate::operation::create_model_invocation_job::CreateModelInvocationJobError,
> for CreateModelInvocationJobFluentBuilder
{
fn send(
self,
config_override: crate::config::Builder,
) -> crate::client::customize::internal::BoxFuture<
crate::client::customize::internal::SendResult<
crate::operation::create_model_invocation_job::CreateModelInvocationJobOutput,
crate::operation::create_model_invocation_job::CreateModelInvocationJobError,
>,
> {
::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
}
}
impl CreateModelInvocationJobFluentBuilder {
/// Creates a new `CreateModelInvocationJobFluentBuilder`.
pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
Self {
handle,
inner: ::std::default::Default::default(),
config_override: ::std::option::Option::None,
}
}
/// Access the CreateModelInvocationJob as a reference.
pub fn as_input(&self) -> &crate::operation::create_model_invocation_job::builders::CreateModelInvocationJobInputBuilder {
&self.inner
}
/// Sends the request and returns the response.
///
/// If an error occurs, an `SdkError` will be returned with additional details that
/// can be matched against.
///
/// By default, any retryable failures will be retried twice. Retry behavior
/// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
/// set when configuring the client.
pub async fn send(
self,
) -> ::std::result::Result<
crate::operation::create_model_invocation_job::CreateModelInvocationJobOutput,
::aws_smithy_runtime_api::client::result::SdkError<
crate::operation::create_model_invocation_job::CreateModelInvocationJobError,
::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
>,
> {
let input = self
.inner
.build()
.map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
let runtime_plugins = crate::operation::create_model_invocation_job::CreateModelInvocationJob::operation_runtime_plugins(
self.handle.runtime_plugins.clone(),
&self.handle.conf,
self.config_override,
);
crate::operation::create_model_invocation_job::CreateModelInvocationJob::orchestrate(&runtime_plugins, input).await
}
/// Consumes this builder, creating a customizable operation that can be modified before being sent.
pub fn customize(
self,
) -> crate::client::customize::CustomizableOperation<
crate::operation::create_model_invocation_job::CreateModelInvocationJobOutput,
crate::operation::create_model_invocation_job::CreateModelInvocationJobError,
Self,
> {
crate::client::customize::CustomizableOperation::new(self)
}
pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
self.set_config_override(::std::option::Option::Some(config_override.into()));
self
}
pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
self.config_override = config_override;
self
}
/// <p>A name to give the batch inference job.</p>
pub fn job_name(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.job_name(input.into());
self
}
/// <p>A name to give the batch inference job.</p>
pub fn set_job_name(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_job_name(input);
self
}
/// <p>A name to give the batch inference job.</p>
pub fn get_job_name(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_job_name()
}
/// <p>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 <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/batch-iam-sr.html">Create a service role for batch inference</a>.</p>
pub fn role_arn(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.role_arn(input.into());
self
}
/// <p>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 <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/batch-iam-sr.html">Create a service role for batch inference</a>.</p>
pub fn set_role_arn(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_role_arn(input);
self
}
/// <p>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 <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/batch-iam-sr.html">Create a service role for batch inference</a>.</p>
pub fn get_role_arn(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_role_arn()
}
/// <p>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 <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html">Ensuring idempotency</a>.</p>
pub fn client_request_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.client_request_token(input.into());
self
}
/// <p>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 <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html">Ensuring idempotency</a>.</p>
pub fn set_client_request_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_client_request_token(input);
self
}
/// <p>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 <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html">Ensuring idempotency</a>.</p>
pub fn get_client_request_token(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_client_request_token()
}
/// <p>The unique identifier of the foundation model to use for the batch inference job.</p>
pub fn model_id(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
self.inner = self.inner.model_id(input.into());
self
}
/// <p>The unique identifier of the foundation model to use for the batch inference job.</p>
pub fn set_model_id(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
self.inner = self.inner.set_model_id(input);
self
}
/// <p>The unique identifier of the foundation model to use for the batch inference job.</p>
pub fn get_model_id(&self) -> &::std::option::Option<::std::string::String> {
self.inner.get_model_id()
}
/// <p>Details about the location of the input to the batch inference job.</p>
pub fn input_data_config(mut self, input: crate::types::ModelInvocationJobInputDataConfig) -> Self {
self.inner = self.inner.input_data_config(input);
self
}
/// <p>Details about the location of the input to the batch inference job.</p>
pub fn set_input_data_config(mut self, input: ::std::option::Option<crate::types::ModelInvocationJobInputDataConfig>) -> Self {
self.inner = self.inner.set_input_data_config(input);
self
}
/// <p>Details about the location of the input to the batch inference job.</p>
pub fn get_input_data_config(&self) -> &::std::option::Option<crate::types::ModelInvocationJobInputDataConfig> {
self.inner.get_input_data_config()
}
/// <p>Details about the location of the output of the batch inference job.</p>
pub fn output_data_config(mut self, input: crate::types::ModelInvocationJobOutputDataConfig) -> Self {
self.inner = self.inner.output_data_config(input);
self
}
/// <p>Details about the location of the output of the batch inference job.</p>
pub fn set_output_data_config(mut self, input: ::std::option::Option<crate::types::ModelInvocationJobOutputDataConfig>) -> Self {
self.inner = self.inner.set_output_data_config(input);
self
}
/// <p>Details about the location of the output of the batch inference job.</p>
pub fn get_output_data_config(&self) -> &::std::option::Option<crate::types::ModelInvocationJobOutputDataConfig> {
self.inner.get_output_data_config()
}
/// <p>The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/batch-vpc">Protect batch inference jobs using a VPC</a>.</p>
pub fn vpc_config(mut self, input: crate::types::VpcConfig) -> Self {
self.inner = self.inner.vpc_config(input);
self
}
/// <p>The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/batch-vpc">Protect batch inference jobs using a VPC</a>.</p>
pub fn set_vpc_config(mut self, input: ::std::option::Option<crate::types::VpcConfig>) -> Self {
self.inner = self.inner.set_vpc_config(input);
self
}
/// <p>The configuration of the Virtual Private Cloud (VPC) for the data in the batch inference job. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/batch-vpc">Protect batch inference jobs using a VPC</a>.</p>
pub fn get_vpc_config(&self) -> &::std::option::Option<crate::types::VpcConfig> {
self.inner.get_vpc_config()
}
/// <p>The number of hours after which to force the batch inference job to time out.</p>
pub fn timeout_duration_in_hours(mut self, input: i32) -> Self {
self.inner = self.inner.timeout_duration_in_hours(input);
self
}
/// <p>The number of hours after which to force the batch inference job to time out.</p>
pub fn set_timeout_duration_in_hours(mut self, input: ::std::option::Option<i32>) -> Self {
self.inner = self.inner.set_timeout_duration_in_hours(input);
self
}
/// <p>The number of hours after which to force the batch inference job to time out.</p>
pub fn get_timeout_duration_in_hours(&self) -> &::std::option::Option<i32> {
self.inner.get_timeout_duration_in_hours()
}
///
/// Appends an item to `tags`.
///
/// To override the contents of this collection use [`set_tags`](Self::set_tags).
///
/// <p>Any tags to associate with the batch inference job. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/tagging.html">Tagging Amazon Bedrock resources</a>.</p>
pub fn tags(mut self, input: crate::types::Tag) -> Self {
self.inner = self.inner.tags(input);
self
}
/// <p>Any tags to associate with the batch inference job. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/tagging.html">Tagging Amazon Bedrock resources</a>.</p>
pub fn set_tags(mut self, input: ::std::option::Option<::std::vec::Vec<crate::types::Tag>>) -> Self {
self.inner = self.inner.set_tags(input);
self
}
/// <p>Any tags to associate with the batch inference job. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/tagging.html">Tagging Amazon Bedrock resources</a>.</p>
pub fn get_tags(&self) -> &::std::option::Option<::std::vec::Vec<crate::types::Tag>> {
self.inner.get_tags()
}
}