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AugmentedAIRuntime module#

Index > AugmentedAIRuntime

Auto-generated documentation for AugmentedAIRuntime type annotations stubs module mypy-boto3-sagemaker-a2i-runtime.

How to install#

You can generate type annotations for boto3 package locally with mypy_boto3_builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.35.86' mypy_boto3_builder
  2. Select boto3-stubs AWS SDK.
  3. Add AugmentedAIRuntime service.
  4. Use provided commands to install generated packages.

VSCode extension#

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and AugmentedAIRuntime.

From PyPI with pip#

Install boto3-stubs for AugmentedAIRuntime service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[sagemaker-a2i-runtime]'

# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'boto3-stubs-lite[sagemaker-a2i-runtime]'

# standalone installation
python -m pip install mypy-boto3-sagemaker-a2i-runtime

How to uninstall#

python -m pip uninstall -y mypy-boto3-sagemaker-a2i-runtime

Usage#

Code samples can be found in Examples.

AugmentedAIRuntimeClient#

Type annotations and code completion for boto3.client("sagemaker-a2i-runtime") as AugmentedAIRuntimeClient boto3 documentation

# AugmentedAIRuntimeClient usage example

from boto3.session import Session

from mypy_boto3_sagemaker_a2i_runtime.client import AugmentedAIRuntimeClient

def get_client() -> AugmentedAIRuntimeClient:
    return Session().client("sagemaker-a2i-runtime")

Paginators#

Type annotations and code completion for paginators from boto3.client("sagemaker-a2i-runtime").get_paginator("...").

# ListHumanLoopsPaginator usage example

from boto3.session import Session

from mypy_boto3_sagemaker_a2i_runtime.paginator import ListHumanLoopsPaginator

def get_list_human_loops_paginator() -> ListHumanLoopsPaginator:
    return Session().client("sagemaker-a2i-runtime").get_paginator("list_human_loops"))

Literals#

Type annotations for literals used in methods and schema.

# ContentClassifierType usage example

from mypy_boto3_sagemaker_a2i_runtime.literals import ContentClassifierType

def get_value() -> ContentClassifierType:
    return "FreeOfAdultContent"

Type definitions#

Type annotations for type definitions used in methods and schema.