Update README

Author: KevyVo

samples/mastra-nextjs/README.md

@@ -38,16 +38,28 @@ You can access mastra-nextjs at `http://localhost:3000` once the containers are
 
 For this sample, you will need to provide the following [configuration](https://docs.defang.io/docs/concepts/configuration). Note that if you are using the 1-click deploy option, you can set these values as secrets in your GitHub repository and the action will automatically deploy them for you.
 
-### `GOOGLE_GENERATIVE_AI_API_KEY`
-
-Your Google Generative AI API key for accessing the Gemini Flash model. You can get this from the [Google AI Studio](https://aistudio.google.com/).
-
 ### `POSTGRES_PASSWORD`
 
 The password for your Postgres database. You need to set this before deploying for the first time.
 
 _You can easily set this to a random string using `defang config set POSTGRES_PASSWORD --random`_
 
+### `DEFANG_PROVIDER`
+
+Set to `gcp` when deploying to Google Cloud, or `aws` when deploying to AWS.
+
+### `DEFANG_GCP_PROJECT` (Only for GCP deployments)
+
+The GCP project ID where you want to deploy the application. You can find this in the [GCP Console](https://console.cloud.google.com/).
+
+### `DEFANG_GCP_LOCATION` (Only for GCP deployments)
+
+The GCP region where you want to deploy the application. This should typically be set to `us-central1`, but you can change it to your preferred location.
+
+### `LLM_MODEL`
+
+The large language model to use for the AI-powered chat. This can be set to models like `anthropic.claude-3-5-sonnet-20241022-v2:0` for AWS or `gemini-2.5-flash` for Google Cloud. Here is a list of supported models for [GCP](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex#model-capabilities) and [AWS](https://ai-sdk.dev/providers/ai-sdk-providers/amazon-bedrock#model-capabilities). For AWS make sure you [request access](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html) to the model in the AWS Bedrock console.
+
 ### `DB_URL`
 
 The [PostgreSQL database connection string](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING). This will be automatically configured when using BYOC managed database services. It should look something like this: `postgresql://[user[:password]@][netloc][:port][/dbname][?param1=value1&...]`.

samples/mastra-nextjs/compose.yaml

@@ -8,7 +8,7 @@ services:
       - DB_URL=postgres://postgres:${POSTGRES_PASSWORD}@database:5432/postgres
       - DB_SSL=true #set this to false if deploying to defang playground
       - GITHUB_TOKEN #optional, remove this line if unused
-      - DEFANG_PROVIDER=aws # change to gcp when deploying to Google Cloud
+      - DEFANG_PROVIDER # use "gcp" when deploying to Google Cloud, "aws" when deploying to AWS
       - DEFANG_GCP_PROJECT # change to your GCP project when deploying to Google Cloud
       - DEFANG_GCP_LOCATION #should be us-central1 when deploying to Google Cloud, else change to your perferred location
       - LLM_MODEL=anthropic.claude-3-5-sonnet-20241022-v2:0 #gemini-2.5-flash for GCP, anthroipc.claude-3-5-sonnet-20241022-v2 for AWS