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README.md

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# Isaacus-SageMaker Python integration
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# Isaacus SageMaker Python integration
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<a href="https://pypi.org/project/isaacus-sagemaker/" alt="PyPI Version"><img src="https://img.shields.io/pypi/v/isaacus-sagemaker"></a> <a href="https://github.com/isaacus-dev/isaacus-sagemaker-python/actions/workflows/ci.yml" alt="Build Status"><img src="https://img.shields.io/github/actions/workflow/status/isaacus-dev/isaacus-sagemaker-python/ci.yaml?branch=main"></a>
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The Isaacus-SageMaker Python integration enables users to interact with private SageMaker deployments of Isaacus legal AI models via the [Isaacus Python SDK](https://github.com/isaacus-dev/isaacus-python).
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The Isaacus SageMaker Python integration enables users to interact with private SageMaker deployments of Isaacus legal AI models via the [Isaacus Python SDK](https://github.com/isaacus-dev/isaacus-python).
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This integration only requires a single line of code to be added to existing Isaacus API-based applications.
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```
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## Usage 👩‍💻
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To use the Isaacus-SageMaker integration, import either `IsaacusSageMakerRuntimeHTTPClient` (for synchronous usage) or `AsyncIsaacusSageMakerRuntimeHTTPClient` (for asynchronous usage) from `isaacus_sagemaker` along with `IsaacusSageMakerRuntimeEndpoint` to define available SageMaker endpoints.
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To use the Isaacus SageMaker integration, import either `IsaacusSageMakerRuntimeHTTPClient` (for synchronous usage) or `AsyncIsaacusSageMakerRuntimeHTTPClient` (for asynchronous usage) from `isaacus_sagemaker` along with `IsaacusSageMakerRuntimeEndpoint` to define available SageMaker endpoints.
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Then, create an instance of the `Isaacus` or `AsyncIsaacus` client as you normally would, but also pass your SageMaker HTTP client as the `http_client` parameter.
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