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articles/ai-studio/how-to/develop/llama-index.md

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@@ -83,9 +83,9 @@ llm = AzureAICompletionsModel(
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> [!TIP]
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> If your model is an OpenAI model deployed to Azure OpenAI service or AI services resource, configure the client as indicated at [Azure OpenAI models and Azure AI model infernece service](#azure-openai-models-and-azure-ai-model-infernece-service).
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> If your model is an OpenAI model deployed to Azure OpenAI service or AI services resource, configure the client as indicated at [Azure OpenAI models and Azure AI model inference service](#azure-openai-models-and-azure-ai-model-infernece-service).
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If your endpoint is serving more than one model, like with the [Azure AI model inference service](../../aiservices/model-endpoint.md) or [GitHub Models](https://github.com/marketplace/models), you have to indicate `model_name` parameter:
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If your endpoint is serving more than one model, like with the [Azure AI model inference service](../../ai-services/model-endpoint.md) or [GitHub Models](https://github.com/marketplace/models), you have to indicate `model_name` parameter:
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```python
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import os
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### Azure OpenAI models and Azure AI model infernece service
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If you are using Azure OpenAI models or [Azure AI model inference service](../../aiservices/model-endpoint.md), ensure you have at least version `0.2.4` of the LlamaIndex integration. Use `api_version` parameter in case you need to select an specific `api_version`. For the [Azure AI model inference service](../../aiservices/model-endpoint.md), you need to pass `model` parameter:
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If you are using Azure OpenAI models or [Azure AI model inference service](../../ai-services/model-endpoint.md), ensure you have at least version `0.2.4` of the LlamaIndex integration. Use `api_version` parameter in case you need to select a specific `api_version`. For the [Azure AI model inference service](../../ai-services/model-endpoint.md), you need to pass `model` parameter:
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```python
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from llama_index.llms.azure_inference import AzureAICompletionsModel

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