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Author: commit111

docs/concepts/managed-llms/openai-access-gateway.md

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 Defang makes it easy to deploy on your favourite cloud's managed LLM service with our [OpenAI Access Gateway](https://github.com/DefangLabs/openai-access-gateway). This service sits between your application and the cloud service and acts as a compatibility layer.
 It handles incoming OpenAI requests, translates those requests to the appropriate cloud-native API, handles the native response, and re-constructs an OpenAI-compatible response.
 
-See [our tutorial](/docs/tutorials/deploying-openai-apps-aws-bedrock-gcp-vertex/) which describes how to configure the OpenAI Access Gateway for your application
+See [our tutorial](/docs/tutorials/deploying-openai-apps-aws-bedrock-gcp-vertex/) which describes how to configure the OpenAI Access Gateway for your application.
 
 ## Docker Provider Services
 
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 ```
 
 Under the hood, when you use the `model` provider, Defang will deploy the **OpenAI Access Gateway** in a private network. This allows you to use the same code for both local development and cloud deployment.
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 The `x-defang-llm` extension is used to configure the appropriate roles and permissions for your service. See the [Managed Language Models](/docs/concepts/managed-llms/managed-language-models/) page for more details.
 
 ## Current Support