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articles/azure-app-configuration/howto-chat-completion-config.md

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@@ -99,46 +99,26 @@ In this section, you will create a chat completion configuration in Azure Portal
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| Select a model | gpt-4o |
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| Deployment name | gpt-4o |
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1. In your Azure OpenAI resource, from the **Resource Management** menu, select **Keys and Endpoint** section and copy your Azure OpenAI resource endpoint. It should follow the format: `https://<open-ai-resource-name>.openai.azure.com`.
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1. In your Azure OpenAI resource, from the **Resource Management** menu, select **Keys and Endpoint** and copy your Azure OpenAI resource endpoint. It should follow the format: `https://<open-ai-resource-name>.openai.azure.com`.
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1. Select **Operations** > **Configuration explorer** > **Create** > **Key-Value**
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1. Navigate to your App Configuration store and add the following key-value. Leave **Label** and **Content Type** with their default values. For more information about how to add key-values to a store using the Azure portal or the CLI, go to [Create a key-value](./quickstart-azure-app-configuration-create.md#create-a-key-value).
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| **Key** | **Value** |
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|---------------------|-------------------------------------------------------------|
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| _ChatLLM:Endpoint_ | _Paste the model endpoint you copied in the previous step_ |
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> [!TIP]
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> To store your model API key securely, consider storing it as a Key Vault reference.
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> - In your Azure OpenAI resource, go to the **Keys and Endpoint** section and copy your API key.
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> - In your App Configuration store, add a new Key Vault reference with the **Key** set to `ChatLLM:ApiKey` and the **Value** set as a Key Vault reference.
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> - For step-by-step guidance, see [Add a Key Vault reference to App Configuration](./use-key-vault-references-dotnet-core.md#add-a-key-vault-reference-to-app-configuration).
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| **Key** | **Value** |
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|---------------------|---------------------------------------------------------------|
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| _ChatLLM:Endpoint_ | _Paste the resource endpoint you copied in the previous step_ |
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1. Continue to the following instructions to implement the chat completion configuration into your application for the language or platform you are using.
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- [.NET](./quickstart-chat-completion-dotnet.md)
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## Next steps
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> [!div class="nextstepaction"]
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> [AI configuration](./concept-ai-configuration.md)
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1. Navigate to your App Configuration store and add the following key-value. Leave **Label** and **Content Type** with their default values. For more information about how to add key-values to a store using the Azure portal or the CLI, go to [Create a key-value](./quickstart-azure-app-configuration-create.md#create-a-key-value).
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| **Key** | **Value** |
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|---------------------|-------------------------------------------------------------|
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| _ChatLLM:Endpoint_ | _Paste the model endpoint you copied in the previous step_ |
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> [!TIP]
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> To store your model API key securely, consider storing it as a Key Vault reference.
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> - In your Azure OpenAI resource, go to the **Keys and Endpoint** section and copy your API key.
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> To store your Azure OpenAI API key securely, consider storing it as a Key Vault reference.
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> - In your Azure OpenAI resource, from the **Resource Management** menu, select **Keys and Endpoint** and copy your API key.
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> - In your App Configuration store, add a new Key Vault reference with the **Key** set to `ChatLLM:ApiKey` and the **Value** set as a Key Vault reference.
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> - For step-by-step guidance, see [Add a Key Vault reference to App Configuration](./use-key-vault-references-dotnet-core.md#add-a-key-vault-reference-to-app-configuration).
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1. Continue to the following instructions to implement the chat completion configuration into your application for the language or platform you are using.
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- [.NET](./quickstart-chat-completion-dotnet.md)
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## Next steps
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> [!div class="nextstepaction"]

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