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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 IsaacusSageMaker 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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@@ -17,7 +17,7 @@ pip install isaacus
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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 IsaacusSageMaker 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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