Update sample after setting env vars

Author: KevyVo

samples/mastra-nextjs/.github/workflows/deploy.yaml

@@ -24,4 +24,3 @@ jobs:
         env:
           POSTGRES_PASSWORD: ${{ secrets.POSTGRES_PASSWORD }}
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          GOOGLE_GENERATIVE_AI_API_KEY: ${{ secrets.GOOGLE_GENERATIVE_AI_API_KEY }}

samples/mastra-nextjs/README.md

@@ -52,21 +52,9 @@ The password for your Postgres database. You need to set this before deploying f
 
 _You can easily set this to a random string using `defang config set POSTGRES_PASSWORD --random`_
 
-### `GOOGLE_VERTEX_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/). This environment variable is used in this library: [google-vertex-ai](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex).
-
-### `GOOGLE_VERTEX_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.This environment variable is used in this library: [google-vertex-ai](https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex).
-
 ### `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&...]`.
+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 AWS Bedrock console and for GCP make sure you have [request access](https://docs.cloud.google.com/marketplace/docs/enable-ai-models#get-ai-models) to the model in GCP Vertex AI console.
 
 ### `DB_SSL`
 
@@ -105,6 +93,8 @@ The large context window of Gemini Flash allows the agent to hold more code in m
 
 ### Defang Playground
 
+When deploying we only allow you to use the model `claude-3-5-haiku-20241022` due to resource constraints in the Playground environment. If you want to use other models, please use [Defang BYOC](https://docs.defang.io/docs/tutorials/deploy-to-your-cloud).
+
 Deploy your application to the Defang Playground by opening up your terminal and typing:
 
 ```bash

samples/mastra-nextjs/compose.dev.yaml

@@ -15,11 +15,11 @@ services:
       - /app/node_modules
 
   database:
-    image: postgres:16
+    extends:
+      file: compose.yaml
+      service: database
     environment:
       - POSTGRES_PASSWORD=password
-      - POSTGRES_DB=postgres
-      - POSTGRES_USER=postgres
     volumes:
       - postgres:/var/lib/postgresql/data
 

samples/mastra-nextjs/compose.yaml

@@ -7,10 +7,9 @@ services:
     environment:
       - DB_URL=postgres://postgres:${POSTGRES_PASSWORD}@database:5432/postgres
       - DB_SSL=true # set this to false if deploying to defang playground, true otherwise
-      - GOOGLE_VERTEX_PROJECT= # To deploy to GCP, please enter your GCP project ID
-      - GOOGLE_VERTEX_LOCATION= # To deploy to GCP, please enter your GCP region, e.g., us-central1
-      - LLM_MODEL # gemini-2.5-flash for GCP, anthropic.claude-3-5-sonnet-20241022-v2:0 for AWS
-      - GITHUB_TOKEN # optional, remove this line if unused
+      # Figure out what LLM to turn on for Playground deployment
+      - LLM_MODEL= # gemini-2.5-flash for GCP, anthropic.claude-3-5-sonnet-20241022-v2:0 for AWS
+      - GITHUB_TOKEN= # optional, remove this line if unused
     restart: unless-stopped
     ports:
       - mode: ingress