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docs/concepts/managed-llms/managed-language-models.md

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@@ -21,12 +21,14 @@ Each cloud provider offers their own managed Large Language Model services. AWS
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In order to leverage cloud-native managed language models from your Defang services, all you need to do is add the `x-defang-llm` extension to the service config and Defang will configure the approprate roles and permissions for you.
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## Example
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:::info
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Ensure you have the necessary permissions to access the model you intend to use. To do this, you can check your [AWS Bedrock model access](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access-modify.html) or [GCP Vertex AI model access](https://cloud.google.com/vertex-ai/generative-ai/docs/control-model-access).
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Ensure you have enabled model access for the model you intend to use:
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* [Configure AWS Bedrock model access](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access-modify.html)
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* [Configure GCP Vertex AI model access](https://cloud.google.com/vertex-ai/generative-ai/docs/control-model-access)
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## Example
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Assume you have a web service like the following, which uses the cloud native SDK, for example:
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```diff

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