rename provider service to docker model provider

Author: commit111

samples/managed-llm-provider/README.md

@@ -1,24 +1,24 @@
-# Managed LLM with Provider
+# Managed LLM with Docker Model Provider
 
 [![1-click-deploy](https://raw.githubusercontent.com/DefangLabs/defang-assets/main/Logos/Buttons/SVG/deploy-with-defang.svg)](https://portal.defang.dev/redirect?url=https%3A%2F%2Fgithub.com%2Fnew%3Ftemplate_name%3Dsample-managed-llm-provider-template%26template_owner%3DDefangSamples)
 
-This sample application demonstrates using Managed LLMs with a Provider Service, deployed with Defang.
+This sample application demonstrates using Managed LLMs with a Docker Model Provider, deployed with Defang.
 
-> Note: This version uses a [Docker Provider Service](https://docs.docker.com/compose/how-tos/model-runner/#provider-services) for managing LLMs. For the version with Defang's [OpenAI Access Gateway](https://docs.defang.io/docs/concepts/managed-llms/openai-access-gateway), please see our [*Managed LLM Sample*](https://github.com/DefangLabs/samples/tree/main/samples/managed-llm) instead.
+> Note: This version uses a [Docker Model Provider](https://docs.docker.com/compose/how-tos/model-runner/#provider-services) for managing LLMs. For the version with Defang's [OpenAI Access Gateway](https://docs.defang.io/docs/concepts/managed-llms/openai-access-gateway), please see our [*Managed LLM Sample*](https://github.com/DefangLabs/samples/tree/main/samples/managed-llm) instead.
 
-The Provider Service allows users to use AWS Bedrock or Google Cloud Vertex AI models with their application.
+The Docker Model Provider allows users to use AWS Bedrock or Google Cloud Vertex AI models with their application. It is a service in the `compose.yaml` file.
 
 You can configure the `MODEL` and `ENDPOINT_URL` for the LLM separately for local development and production environments.
 * The `MODEL` is the LLM Model ID you are using.
 * The `ENDPOINT_URL` is the bridge that provides authenticated access to the LLM model. 
 
 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).
 
-### Provider Service
+### Docker Model Provider
 
-In the `compose.yaml` file, the `llm` service is used to route requests to the LLM API model using a [Provider Service](https://docs.defang.io/docs/concepts/managed-llms/openai-access-gateway#docker-provider-services).
+In the `compose.yaml` file, the `llm` service will route requests to the LLM API model using a [Docker Model Provider](https://docs.defang.io/docs/concepts/managed-llms/openai-access-gateway#docker-provider-services).
 
-The `x-defang-llm` property on the `llm` service must be set to `true` in order to use the Provider Service when deploying with Defang.
+The `x-defang-llm` property on the `llm` service must be set to `true` in order to use the Docker Model Provider when deploying with Defang.
 
 ## Prerequisites
 
@@ -64,10 +64,10 @@ If you want to deploy to your own cloud account, you can [use Defang BYOC](https
 
 ---
 
-Title: Managed LLM with Provider
+Title: Managed LLM with Docker Model Provider
 
-Short Description: An app using Managed LLMs with a Provider Service, deployed with Defang.
+Short Description: An app using Managed LLMs with a Docker Model Provider, deployed with Defang.
 
-Tags: LLM, Python, Bedrock, Vertex
+Tags: LLM, Python, Bedrock, Vertex, Docker Model Provider
 
 Languages: Python