AWS cli documentation change
Summary
Updated AWS CLI version from 2.28.16 to 2.28.19 and replaced 'SageMaker' with 'SageMaker AI' branding throughout documentation
Security assessment
Changes are primarily branding updates (adding 'AI' to service name) and CLI version bumps. No security vulnerabilities, mitigations, or new security features are mentioned. The security-related statements about authentication tokens and header stripping remain functionally unchanged.
Diff
diff --git a/cli/latest/reference/sagemaker-runtime/invoke-endpoint.md b/cli/latest/reference/sagemaker-runtime/invoke-endpoint.md index ed4bf0254..de67d41a5 100644 --- a//cli/latest/reference/sagemaker-runtime/invoke-endpoint.md +++ b//cli/latest/reference/sagemaker-runtime/invoke-endpoint.md @@ -15 +15 @@ - * [AWS CLI 2.28.16 Command Reference](../../index.html) » + * [AWS CLI 2.28.19 Command Reference](../../index.html) » @@ -59 +59 @@ First time using the AWS CLI? See the [User Guide](https://docs.aws.amazon.com/c -After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint. +After you deploy a model into production using Amazon SageMaker AI hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint. @@ -61 +61 @@ After you deploy a model into production using Amazon SageMaker hosting services -For an overview of Amazon SageMaker, see [How It Works](https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html) . +For an overview of Amazon SageMaker AI, see [How It Works](https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html) . @@ -63 +63 @@ For an overview of Amazon SageMaker, see [How It Works](https://docs.aws.amazon. -Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax. +Amazon SageMaker AI strips all POST headers except those supported by the API. Amazon SageMaker AI might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax. @@ -71 +71 @@ A customer’s model containers must respond to requests within 60 seconds. The -Endpoints are scoped to an individual account, and are not public. The URL does not contain the account ID, but Amazon SageMaker determines the account ID from the authentication token that is supplied by the caller. +Endpoints are scoped to an individual account, and are not public. The URL does not contain the account ID, but Amazon SageMaker AI determines the account ID from the authentication token that is supplied by the caller. @@ -120 +120 @@ See also: [AWS API Documentation](https://docs.aws.amazon.com/goto/WebAPI/runtim -> Provides input data, in the format specified in the `ContentType` request header. Amazon SageMaker passes all of the data in the body to the model. +> Provides input data, in the format specified in the `ContentType` request header. Amazon SageMaker AI passes all of the data in the body to the model. @@ -134 +134 @@ See also: [AWS API Documentation](https://docs.aws.amazon.com/goto/WebAPI/runtim -> Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in [Section 3.3.6. Field Value Components](https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6) of the Hypertext Transfer Protocol (HTTP/1.1). +> Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker AI endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in [Section 3.3.6. Field Value Components](https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6) of the Hypertext Transfer Protocol (HTTP/1.1). @@ -138 +138 @@ See also: [AWS API Documentation](https://docs.aws.amazon.com/goto/WebAPI/runtim -> This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK. +> This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker AI Python SDK. @@ -175 +175 @@ See also: [AWS API Documentation](https://docs.aws.amazon.com/goto/WebAPI/runtim -> With a stateful session, you can send multiple requests to a stateful model. When you create a session with a stateful model, the model must create the session ID and set the expiration time. The model must also provide that information in the response to your request. You can get the ID and timestamp from the `NewSessionId` response parameter. For any subsequent request where you specify that session ID, SageMaker routes the request to the same instance that supports the session. +> With a stateful session, you can send multiple requests to a stateful model. When you create a session with a stateful model, the model must create the session ID and set the expiration time. The model must also provide that information in the response to your request. You can get the ID and timestamp from the `NewSessionId` response parameter. For any subsequent request where you specify that session ID, SageMaker AI routes the request to the same instance that supports the session. @@ -292 +292 @@ CustomAttributes -> (string) -> Provides additional information in the response about the inference returned by a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to return an ID received in the `CustomAttributes` header of a request or other metadata that a service endpoint was programmed to produce. The value must consist of no more than 1024 visible US-ASCII characters as specified in [Section 3.3.6. Field Value Components](https://tools.ietf.org/html/rfc7230#section-3.2.6) of the Hypertext Transfer Protocol (HTTP/1.1). If the customer wants the custom attribute returned, the model must set the custom attribute to be included on the way back. +> Provides additional information in the response about the inference returned by a model hosted at an Amazon SageMaker AI endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to return an ID received in the `CustomAttributes` header of a request or other metadata that a service endpoint was programmed to produce. The value must consist of no more than 1024 visible US-ASCII characters as specified in [Section 3.3.6. Field Value Components](https://tools.ietf.org/html/rfc7230#section-3.2.6) of the Hypertext Transfer Protocol (HTTP/1.1). If the customer wants the custom attribute returned, the model must set the custom attribute to be included on the way back. @@ -296 +296 @@ CustomAttributes -> (string) -> This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK. +> This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker AI Python SDK. @@ -316 +316 @@ ClosedSessionId -> (string) - * [AWS CLI 2.28.16 Command Reference](../../index.html) » + * [AWS CLI 2.28.19 Command Reference](../../index.html) »