Add a stage branch deploy beside production on z00.

Pushing stage runs CI and deploys to stage.transcribe.z00.nu with its own data, Reverb credentials, and Caddy network.

docker-compose.yml

@@ -30,6 +30,10 @@ x-app-env: &app-env
   REVERB_SCHEME: http
   REVERB_SERVER_HOST: 0.0.0.0
   REVERB_SERVER_PORT: 8080
+  # Browser-facing Reverb (Blade meta). Overlay sets public host for z00.
+  REVERB_PUBLIC_HOST: ${REVERB_PUBLIC_HOST:-localhost}
+  REVERB_PUBLIC_PORT: ${REVERB_PUBLIC_PORT:-8081}
+  REVERB_PUBLIC_SCHEME: ${REVERB_PUBLIC_SCHEME:-http}
   LOCAL_WHISPER_URL: http://whisper:8000/v1
   LOCAL_WHISPER_API_KEY: ${LOCAL_WHISPER_API_KEY:-not-needed}
   LOCAL_WHISPER_MODEL: ${LOCAL_WHISPER_MODEL:-Systran/faster-whisper-base}
@@ -56,7 +60,7 @@ services:
         VITE_REVERB_HOST: ${VITE_REVERB_HOST:-localhost}
         VITE_REVERB_PORT: ${REVERB_HOST_PORT:-8081}
         VITE_REVERB_SCHEME: ${VITE_REVERB_SCHEME:-http}
-    container_name: andytranscribe-app
+    container_name: ${CONTAINER_PREFIX:-andytranscribe}-app
     ports:
       - "${APP_HOST_PORT:-8080}:80"
     environment:
@@ -81,7 +85,7 @@ services:
   # `docker compose up --build` builds `app` first, then starts these with the tagged image.
   queue:
     <<: *app-image
-    container_name: andytranscribe-queue
+    container_name: ${CONTAINER_PREFIX:-andytranscribe}-queue
     command:
       - php
       - artisan
@@ -108,7 +112,7 @@ services:
 
   reverb:
     <<: *app-image
-    container_name: andytranscribe-reverb
+    container_name: ${CONTAINER_PREFIX:-andytranscribe}-reverb
     command:
       - php
       - artisan
@@ -132,7 +136,7 @@ services:
 
   whisper:
     image: fedirz/faster-whisper-server:latest-cpu
-    container_name: andytranscribe-whisper
+    container_name: ${CONTAINER_PREFIX:-andytranscribe}-whisper
     ports:
       # Host 8090 avoids clashing with the FrankenPHP app on 8080
       - "${WHISPER_HOST_PORT:-8090}:8000"
@@ -153,7 +157,7 @@ services:
   whisper-gpu:
     profiles: ["gpu"]
     image: fedirz/faster-whisper-server:latest-cuda
-    container_name: andytranscribe-whisper-gpu
+    container_name: ${CONTAINER_PREFIX:-andytranscribe}-whisper-gpu
     ports:
       - "${WHISPER_HOST_PORT:-8090}:8000"
     volumes: