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CHANGELOG.md

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<a name="unreleased"></a>
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# Unreleased
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## Documentation
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* **homepage:** remove v1 layer limitation on pydantic not being included
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## Features
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* **metrics:** add EphemeralMetrics as a non-singleton option ([#1676](https://github.com/awslabs/aws-lambda-powertools-python/issues/1676))

docs/index.md

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Container Image deployment (OCI) or inline Lambda functions do not support Lambda Layers.
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Lambda Powertools Lambda Layer do not include `pydantic` library - required dependency for the `parser` utility. See [SAR](#sar) option instead.
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#### SAR
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Serverless Application Repository (SAR) App deploys a CloudFormation stack with a copy of our Lambda Layer in your AWS account and region.

poetry.lock

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pyproject.toml

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[tool.poetry]
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name = "aws_lambda_powertools"
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version = "2.0.0"
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version = "2.1.0"
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description = "A suite of utilities for AWS Lambda functions to ease adopting best practices such as tracing, structured logging, custom metrics, batching, idempotency, feature flags, and more."
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authors = ["Amazon Web Services"]
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include = ["aws_lambda_powertools/py.typed", "THIRD-PARTY-LICENSES"]
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pytest-benchmark = "^3.4.1"
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python-snappy = "^0.6.1"
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mypy-boto3-appconfig = "^1.24.29"
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mypy-boto3-cloudformation = "^1.24.0"
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mypy-boto3-cloudformation = "^1.26.0"
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mypy-boto3-cloudwatch = "^1.24.35"
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mypy-boto3-dynamodb = "^1.24.60"
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mypy-boto3-dynamodb = "^1.26.0"
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mypy-boto3-lambda = "^1.24.0"
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mypy-boto3-logs = "^1.24.0"
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mypy-boto3-secretsmanager = "^1.24.11"

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