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SagemakerEdgeManager module#

Index > SagemakerEdgeManager

Auto-generated documentation for SagemakerEdgeManager type annotations stubs module types-aiobotocore-sagemaker-edge.

How to install#

You can generate type annotations for aiobotocore package locally with mypy-boto3-builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'aiobotocore==2.23.0' mypy-boto3-builder
  2. Select aiobotocore AWS SDK.
  3. Add SagemakerEdgeManager service.
  4. Use provided commands to install generated packages.

From PyPI with pip#

Install types-aiobotocore for SagemakerEdgeManager service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[sagemaker-edge]'

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

# standalone installation
python -m pip install types-aiobotocore-sagemaker-edge

How to uninstall#

python -m pip uninstall -y types-aiobotocore-sagemaker-edge

Usage#

Code samples can be found in Examples.

SagemakerEdgeManagerClient#

Type annotations and code completion for session.create_client("sagemaker-edge") as SagemakerEdgeManagerClient boto3 documentation

# SagemakerEdgeManagerClient usage example

from aiobotocore.session import get_session

from types_aiobotocore_sagemaker_edge.client import SagemakerEdgeManagerClient


session = get_session()
async with session.create_client("sagemaker-edge") as client:
    client: SagemakerEdgeManagerClient

Literals#

Type annotations for literals used in methods and schema.

# ChecksumTypeType usage example

from types_aiobotocore_sagemaker_edge.literals import ChecksumTypeType

def get_value() -> ChecksumTypeType:
    return "SHA1"

Type definitions#

Type annotations for type definitions used in methods and schema.