fix env var names

Author: jordanstephens

samples/managed-llm/README.md

@@ -11,8 +11,8 @@ Using the [Defang OpenAI Access Gateway](#defang-openai-access-gateway), the fea
 
 This allows switching from OpenAI to the Managed LLMs on supported cloud platforms without modifying your application code.
 
-You can configure the `MODEL` and `LLM_URL` for the LLM separately for local development and production environments.
-* The `MODEL` is the LLM Model ID you are using.
+You can configure the `LLM_MODEL` and `LLM_URL` for the LLM separately for local development and production environments.
+* The `LLM_MODEL` is the LLM Model ID you are using.
 * The `LLM_URL` is the bridge that provides authenticated access to the LLM model.
 
 Ensure you have enabled model access for 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).

samples/managed-llm/compose.yaml

@@ -8,7 +8,7 @@ services:
     restart: always
     environment:
       - LLM_URL=http://llm/api/v1/   # endpoint to the gateway service
-      - MODEL=default  # LLM model ID used for the gateway.
+      - LLM_MODEL=default  # LLM model ID used for the gateway.
        # For other models, see https://docs.defang.io/docs/concepts/managed-llms/openai-access-gateway#model-mapping
       - OPENAI_API_KEY=FAKE_TOKEN   # the actual value will be ignored when using the gateway, but it should match the one in the llm service
     healthcheck: