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articles/ai-foundry/how-to/develop/connections-add-sdk.md

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## Azure Blob Storage
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The following example creates an Azure Blob Storage connection. This connection is authenticated with an account key or a SAS token:
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The following example uses the [AzureBlobStoreConnection](/python/api/azure-ai-ml/azure.ai.ml.entities.azureblobstoreconnection) class to create an Azure Blob Storage connection. This connection is authenticated with an account key or a SAS token:
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```python
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from azure.ai.ml.entities import AzureBlobStoreConnection, SasTokenConfiguration,AccountKeyConfiguration
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## Microsoft OneLake
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The following example creates a Microsoft OneLake connection. This connection is authenticated with a Service Principal:
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The following example uses the [MicrosoftOneLakeWorkspaceConnection](/python/api/azure-ai-ml/azure.ai.ml.entities.microsoftonelakeconnection) class to create a Microsoft OneLake connection. This connection is authenticated with a Service Principal:
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```python
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from azure.ai.ml.entities import MicrosoftOneLakeWorkspaceConnection, OneLakeArtifact
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## Serp
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The following example creates a Serp connection:
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The following example uses the [SerpConnection](/python/api/azure-ai-ml/azure.ai.ml.entities.serpconnection) class:
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```python
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from azure.ai.ml.entities import SerpConnection
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## OpenAI
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The following example creates an OpenAI (not Azure OpenAI) connection:
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The following example uses the [OpenAIConnection](/python/api/azure-ai-ml/azure.ai.ml.entities.openaiconnection) class to create an OpenAI (not Azure OpenAI) connection:
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```python
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from azure.ai.ml.entities import OpenAIConnection
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## Custom
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The following example creates custom connection:
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The following example uses the [ApiKeyConfiguration](/python/api/azure-ai-ml/azure.ai.ml.entities.apikeyconnection) class to create custom connection:
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```python
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from azure.ai.ml.entities import WorkspaceConnection

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